HomeMy WebLinkAbout710525.tiff ,Lib 6:--? 7
RESOLUTION
RE: LARIMER-WELD REGIONAL WATER-WASTE POLLUTION
CONTROL PROGRAM.
WHEREAS, it is apparent to the Board of County Commissioners,
Weld County, Colorado, that there is an urgent need for a comphrensive
river basin water pollution and liquid waste control program in the
Cache la Poudre, The Big Thompson and South Platte River basins in
Larimer County and in Weld County, and
NOW, THEREFORE, BE IT RESOLVED, that the Board of County
Commissioners, Weld County, Colorado, does strongly recommend
and support the investigation, evaluation and development of a com-
prehensive program for the Larimer-Weld Regional Sewer and Water
Study and for the implementation of the necessary plans and programs
in connection therewith.
BE IT FURTHER RESOLVED that the Board strongly supports the
action of the Larimer-Weld Regional Planning Commission in its
application for federal funds to effect such regional water-waste program
in Larimer and Weld Counties.
The above and foregoing Resolution was, on motion duly made and
seconded, adopted by the following vote on the 5th day of May, 1971.
BOARD OF COUNTY COMMISSIONERS
WELD COUNTY, COLORADO
/ /
/ i
« ,, J . l0 buy.
ATTEST:
/ S
T;T EE ST
Clerk of the BoardC-`x
By: Deputy County Cl
APPROVED AS TO ORM
C7� -)"
l-- County Attorney
/6 C"G
X g .ti..Wes; 710525
Trustees:
Wayne Lutz
Sam Schauerman TOWN OF WINDSOR Clerk:
Jack Manion Helmut Hettinger
Edward Eichorn W. WAYNE MILLER, Mayor
Duane McDonald
Francis Osburn
Windsor, Colorado 80550
May 10 , 1971
Weld and Larimer Regional
Planning Board
Weld County Court House
9th Avenue and 9th Street
Greeley, Colorado 80631
Attention Mr. Burman Lorenson
Gentlemen:
This is to inform you that the Town of Windsor
agrees to participate in the regional water and sewer
study.
We feel this is a positive step in the develop-
ment of our area. Enclosed is a copy of the minutes of
the Windsor Planning Board of May 4 , 1971, to verify our
position.
Sincerely yours,
22J7/r�:- ,-A- it/71-2j—
W.
Wayne Miller
Mayor
Town of Windsor
WWM: lmm
GLENN A. BILLINGS,
CHAIRMAN
RT. 2, BOX 167, GREELEY, COLO.
HAROLD W. ANDERSON.
CHAIRMAN PRO"TEM OFFICE OF
RT. I. JOHNSTOWN. COLO. BOARD OF COUNTY COMMISSIONERS
PHONE 13031 353.2212
MARSHALL H. ANDERSON,MEMBER EXT. 21. 22. AND 23
2412 8TH AVE., GREELEY. COLD.
ATTACHMENT A
WELD COUNTY IN KIND SERVICE
NAME POSITION ANNUAL TIME ON COST
SALARY PROJECT
% OF HRS.
Burman Lorenson Weld County Planner $13,500 25% $ 3,375.00
Byron Ewing Weld County
Engineer $'10,,000 5% $ 500.00
Glenn Paul Weld County
Chief Sanitarian $12,570 25% $ 3,144.00
Un—assigned Weld County
Sanitarian $ 8,688 75% $ 6,516.00
TOTAL $13,535.00
/Marshall H. An erson, Chairman
Afr-
erei
Glenn
K. Billings h
l
"d�LrIi/ 11 r�Eto
Harry S.i/Ashley
H
%Presley OS'.
,ay 4, 1971
B. Councilman Wells submitted copies of a memo from Commis-
sioner William C. Manuel , Dr. David W. Hendricks and Dr.
H. J. Morel-Seytoux to Representatives of Larimer-Weld
City and County Governments , Colorado Water Pollution
Control Commission, and Environmental Protection Agency,
concerning ‘4ater quality planning grant applications to
E.P.A. He stated that a letter was needed for author-
ization from the Council designating the Larimer-Weld
Regional Planning Commission as the regional planning
agency representing the City of Greeley's interests in
the development of a basin-wide pollution control plan.
Motion was made by Councilman Sodman and seconded by Council-
man Rucker to authorize the Larimer-Weld Regional Planning
Commission to use Greeley's expenditures for in-kind match-
ing money providing it does not conflict with any City of
Greeley application for federal aid project. Motion
carried unanimously.
There being no further business , the meeting was adjourned.
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:•AYDR
BY:
CITY CLERK
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•
I, Lola Told ..Ian, city Clerk of the city 3f Greeley, do hereby
certify that the aLove is a true and exact copy of the last
',page of the minutes of City Council meeting , isiay 4, 1971.
CLAVLl
• MEMO
Date: April 22, 1971
To: Representatives of Larimer - Weld City and County Governments, Colorado
• Water Pollution Control Commission, and Environmental Protection Agency
From: William C. Manuel, David W. Hendricks, H. J. Morel-Seytoux
Subject: Water quality planning grant applications to EPA
Remarks:
The enclosed grant applications outline methods for developing:
(1) a comprehensive river basin pollution control program for the
Cache La Poudre, Big Thompson, and South Platte Rivers, in
Larimer and Weld Counties.
(2) a regional plan for liquid waste management for the Ft. Collins -
Loveland - Greeley urban triangle.
Part I is the "3c" application for comprehensive river basin planning and
Part II is a "demonstration grant" application. Part I is the framework for
the total problem. This includes consideration of upper basin problems
relating to activities in the mountain canyons. Also in Part I, it is necessary
to establish the administrative mechanisms for implementing regional
programs and plans. This includes recommending user fees, financing
recommended construction, and enabling legislation as necessary, and
a suitable organization structure for continuing implementation and updating
of plans.
Part II outlines the procedures for modeling the river basin and regional
water and waste systems, with special reference to the lower reaches (ie
beyond the canyons). The regional water-waste plan will come from these
models; they will be developed for usefulness beyond the period of this project.
We should emphasize that Part I is preliminary; not only is the budget
yet undefined, but an explicit work plan should be developed to delineate
• the extent to which plans should be developed for the upper reaches.
Your comments and criticisms are solicited. We will discuss budgets,
objectives, and scope more fully with representatives of each community and
hopefully try to absorb these thoughts into a final draft for submission to
EPA; we are striving to have this ready in early May.
U. s. CEPANIM[NT or TN rtER1pN ..7,-..--
iFORM APP UD 20D
DUPEAU Or nV::GCI Ito. I:-nISIS
FEDERAL WATCH POLLUTION COIL ADMINISTRATION •
;
WASHINGTON. O. C. I2 it Ell PCA USE ONLY I
GRANT APPLICATION PART I PI161ECT NUMUF:11 DATE I4CCEIv1:U
0. I
COMPREHENSIVE HATER POLLUTION CONTROL PLANNING _
I
(Under Section 3(e), PL 84.600. as amended) ♦Ppn OV AL ACTION
. INSTRUCTIONS: Prepare In precise narrative form and Include
required supporting information and attachments. Identify ell SIGNATURE OF AUTIIORIZW6 Of LICIAL
attachments by referring to the item numbers on this form. Submit
one copy of this form to the appropriate FWPCA Regional Director. . ._..
,.NAME AND ♦UORCSS OF DESIGNATED PLANNING AGENCY a. DATE OF APF LICA 1IUN
Larimer—Weld Regional Planning Commission 4/20/71 '
Post Box 2137 (VOrt: Each Application should be accompanied by
Ft. Collins, Colorado 80521 a letter from the Governor(s) of the State(;) desig.
noting tiro planning agency responsible to administer I
A.
and coordinate thedevelopment of the Comprehensive i
ilasin-wide Pollution Control Plan. (Sec Seetinn IlAl ,
of Guidelines) No Application can be approved until
such tatters) is or has been submitted.,
IF THE ABOVE REPRESENTS A CHANGE IN INFORMATION I'LETTCF.IsI O NOT AETTIAIC NED
SUBMIT TEO PRIOR TO THIS APPLICATION. PLEASE INDICATEI Q ATTACHED ,
-
(AUTHORITY(Cite and ilive a brief description of thy statutory or other authority of the designated planning agency and attach
. copies of appropriate documents)* APpgp1DIX B: .
11 Charter of`,the Larimer-Weld R*giestal Oemmi $ion 2) Letters of authorization from politica;
;entities within the region, designating the Lat3.mer-Weld Regional Planning Commission as the
regional planning agency reptesenting their interests in the development of a basin-wide
pollution control plan.
LieMEF PHYSICAL DESGTIIH IRAN OFFLATINTI L-AHen VII unarm Ie�..,rv..nra v, VIII UM IIIL; !:- _. — -- --
.The Basin Plan area. will encompass the Poudre -and Big Thompson- Rivers from headwaters to their
confluence with the South Platte litter and'tha. iuth Platte river in Weld County. The Region-
. ' al Plan will encompass the Ft.. Collins,-Loveland-Greely triangle. Figure 1 shows the basin_
planning area and Figure 3 shows the regional Metropolitan planning area. The geographical
diversity includes high value scenic and recreational reaches of the respective rivers and
adjacent lands in the mountains/ and on the plains, fast growing urban communities (3.8% per
year) , an extensive irrigated agriculture (over 240,000 acres) , a massive feedlot industry
(about 100, including the two largest in the US), industrial development (the most recent
is 1800 employees) , and need for upgrading currently polluted streams. Water related organ-
izational entities include: over 32 irrigation companies, over 10 municipal water districts,
exclusive of cities and towns, over 10 sewer districts, and three major cities, and many
nearby towns. Unified water planning can explore all alternatives to exploit water reuse
alternatives, economies of scale in treatment, and in supporting and implementing a realistic
water quality plan commensurate with national and local social goals for the stream system.
—• ySETATEMEI:I Or PROBLEM(Give concise analysis of problem(s)in implementing water quality objectives in the basin. Pinpoint
• solevant physical, economic, financial, Institutional, and other problems requiring solution)
!'Mountain zones - The upper.reaches of the Big Thompson and Poudre Rivers are both national and
regional assets. These upper reatlles .are more "value• sensitive" to pollution .effects than. in
the lower reaches; they are scenic, and are goad trout fisheries, and serve as municipal water
supply sources - as well as irrigation supplies. Presently, pollution problems are not eviden
despite. the intensive summer activities adjacent to these streams. The city of Estes Park
is the only incorporated municipality; the summer population increases to near 10,000. These
Upper reaches should be considered in the Basin Plan, even though Estes Park is the only waste
input subject to control. A pollution control program would be difficult to implement if -
'indeed•necessary, because of the generally diffuse character of the activities. Because of
the unique qualities of these mountain reaches, they should be included in the basin plan .so
that some institutional mechanism is available ,for planning and implementing pollution control
if and when this becomes necessary.
Plains = As the Poudre and Big Thompson Rivers emerge from their mountain canyons they flow
through cities and irrigated agricultural lands to join the South Platte River beyond Greeley.
The latter stream recently has been upgraded to class A while the Poudre is classified
as B2, C, and D1, and the Big Thompson is C and D1.alee. There is continued discus-
sion regarding upgrading the Poudre River. These rivers are largely diverted during
summer months for irrigation and municipal uses, which presents a dichotomy in logic
if higher water quality standards are proposed. This question needs to be brought
into better focus in an effort to assess alternatives for meeting desired social
objectives for in-stream uses and the corresponding "opportunity costs": Part II
will do this. Both the supply side and the waste side need to be considered in any
comprehensive planning to realize a "cost-effective" solution which is compatible
with the full spectrum of water use objectives - including the maintenance of water
quality for in-stream uses and for further diversions.
d:Kruse.
Some of the institutional proble s involve,,ownership of water among 30 to 50 muni-
cipal and irrigation entities; responsibility for waste water collection and
treatmentjsdiffused in the urban areas among several sanitary districts in each
urban area. The new Larimer-Weld Regional Commission is a potentially effective
vehicle for coordinated planning in all activity spheres, thus providing the neces-
sary administration and interfacing between this proposed activity and land use
planning, and the development of regional social objectives for the use of common
property resources. Should regional treatment facilities of any type be recommended
as a result of Part II, the Commission is a vital administrative unit in approving
any recommended charge structure, and developing a workable plan.
fi. STATUS OF BASIN PL ANN MG(O'rt Gne ste(uS of fended comprehensive venter pollution control and Ieatrr and relyded land resourcr.
th
-plarnirg undonvny or proposed in e hUin. Sea Section 11122 of Guidelines)
Several studies have been undertaken in the past, upon which, this project will build. These
activities have included:
i) A US Bureau of Reclamation stuffy, Concluding Re $ort, July 1966; Region 7, Denver, on the
feasibility of Idylwilde Dam. This report contains hydrologic information for the Poudre
• River and M and I water use data for Ft. Collins and Greeley.
2)' Area Sclorage Trikapent Militias Development Plan for Larimer County, March 19, 1969,
Larimer County Health Dept. This is a comprehensive sewerage plan, shown in Figure 4, which
links up the Ft. Collins urban area into a unified system, and does the same for Loveland;
this study will aid the proposed one by 'delineating. the subregion lihkages - allowing the
current study to concentrate on inter-city transport costs. ,
3) Comprehensive Survey of the Cache La Poudre River by G. Misbach, Colorado State
Health Department, 1970. This was a water quality survey of the Poudre River from Ft.
Collins to Greeley done in May and in September 1970.
4) The Larimer County Health Department under the supervision of Mr. Douglas Wigle has
given continued extensive sampling surveillance to the waters of the area.
5) Interim Water and Sewer Planning, Larimer-Weld Regional Planning Commission, April
1971. This report is an inventory of data, specified by EPA as per Title 18, Chapter 5,
Part 601 of the Water Quality Act of 1965 (check) . This report contiJfins population pro-
jections and inventories all water and sewage treatment facilities, and shows locations
of industries, feedlots, etc.
6) The Environmental Protection Agency is planning a comprehensive survey of the water
quality conditions in the South Platte Basin to include the Poudre and Big Thompson sub-
basins, as a follow-up of the 1966 enforcement conference. This effort could be highly
valuable for the proposed study.
These studies will, of course, be utilized in the proposed basin planning effort.
N ECU 1012 1 lit Tn LR 1•LANIONG ARO ACTION PROGHA't(Ui,t/Inc plon:un;} decn.lons mld acn un prt[rem:. requrtcu CO OC.IC C
Oiler an, wale: ,ue4tp nnnnermcnt which applicant proposes to aendowfish. Sec Section LID of Guidelines) , 1
.The proposed study will bee—,comprehensive basin wide effort—resulting in a basin model of
the hydro-quality system; _s will be the basis for planni the nature of the waste treat-
ment system and in assessing effects on the stream system of the various inputs and diver-
sions, The model will be similar to that developed by Dixon,•Hendricks, Huber, and Bagley
(1970) , but not so extensive in data requirements. The regional model will examine all ;
feasible alternatives in waste handling with special reference to examination of reuse
possibilities. Part II describes this in detail. These models will allow assessment of :,
basin measures for pollution abatement, for exploring in-stream water sources, and in
.developing a cost-effective regional treatment plan (the word regional does not necessarily
Limply region linkages unless this lowers costs) . Planning decisions and construction
planning will be oriented about these models, subject, of course, to political , legal, and
economic constraints .
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SCOPE AND DETAIL OF PROPOSED WORK PROGRAM
11.▪ DESCRIBE THE SCOPE AND DETAIL or THE TOTAL BA5111 PLANNING PROGRAM TO MEET THE HEEDS DESCRIBED IN ITEM 7
(Sec Section 1182 of Guidelines)
The proposed work program will be for a three-year period. Part II is oriented principally
about, developing the basin and regional models, in recommending an optimum regional waste
handling 'system, and in providing specific planning guidelines useful to other regions.
Part I, this proposal, is •oriented toward providing the structure to implement the results
of Part II; Part I is, in fact, the general implementation framework, for an action program
and is specific to the Larimer-Weld planning area. Table 2 'outlines the relationship be-
tween the two grants . Part II is essentially a subset of Part I; Part II is necessary, but
is not sufficient for implementing basin and regional. programs. Together these two parts
form a single unified program. 'Their separation is justified conceptually in that Part I
is action-oriented toward a specific region; Part II is an integral part of Part I relating
- • to Larimer-Weld, but goes beyond the region in its intent. -
Work schedule - Figure 5 (not drawn yet) is a PERT-time diagram showing the work'plan,
time scheduling, and relationship between Parts I and II .
(TABLE 2 ON FOLLOWING PAGE)
B.OUTLINE FEDERAL, STATE, INTERSTATE, AND LOCAL PROGRAMS WITH WHICH WORK \'TILL DS COORDINATED AND TYPE OF
COORDINATION (See Section IIC of Guidelines)
Programs of other agencies may intersect, to some degree, with the proposed work. While
these intersections by no means overlap the proposed work, they do reduce somewhat the
activity sphere within shichithis project must function, as outlined in 6. Programs
listed in II C of the August 1967 Guidelines have not evolved in the Poudre-Big Thompson
basins (check this) . As mentioned earlier, this activity does tie into,a federal surveil-
lance activity scheduled for 1971, in that the opportunity exists for the acquisition of
project data. Also, a USGS ground water survey will be underway soon, which can yield
useful information. Continuing coordination with the Water Pollution Control Division,
Colorado State Health Department will be maintained.
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FWPCA•147 (5.0) (Pogo 2)
Table 2 RELATIONSHIP BETWEEN THE TWO COORDINATED GRANTS
Execution Model Building - Innovation
Part I - 3 C Grant Functions Part II - Demonstration Grant Functions
(1) Provide necessary coordination between (1) Assimilate feedback into model
political and district entities development
(2) Develop water quality objectives } (2) Assess opportunity costs for
for region stated objectives
(3) Provide land use plan (3) Constraint implied on location
and architectural design of
treatment facilities
(4) (a) Select a feasible plan + (4) Provide alternate plans for
(b) Provide drawings and preliminary regional water quality manage-
sketches of facilities ment including type, sizes,
(c) Develop fee schedule for operation locations, time phasing of
and amortization of facilities facilities
(d) Draw up legislation, as necessary,
for implementing plans
(5) Develop means for continued administration + (5) Develop models for continued
of plan and for continuing revision routine use for planning and
operation.
SCOPE AND DCT AII..OF PHoPO5ELLr:olit; PltOGNAl.t (coca.)
PUTLI1IC HOW. wltrrE, AND DY t'cNO4I T..K.SCPAfiATE PROGRAM ELEMENTS WILL DE 091LS INCLUDING WORK OF SUPPORTING
AGENCIES AND CONSUL TANIS(If vault r program, present by ennual segments. Sc -Hon 1111 and C of Guidelines)
Table 3 is a work matrix showing individuals involved in task accomplishment and identifying
those responsible to the. Grant Director for task accomplishment. Table 4 is an organi-
zation chart outlining the lines of authority for project execution.
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LIST ALL RELEVANT FEDERAL PLANNING GRANTS WHICH PARTICIPATING AGENCIES RECEIVED OR APPLIED FOR DURING
CURRENT FISCAL YEAR(See Section 11C of Guidelines) -
Federal planning grants received or applied for during the 1970-71 year for each parti-
cipating agency is outlined below;
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INDICATE OUTLOOK AND CONTINUITY UEYONO PERIOD OF SUPPORT RECEIVED UNDER SECTION 3(C1, FEDERAL WATER POLLUTION
CONTROL ACT(Sam Section 110 of Guidelines)
Once :established aS a worthwhile activity, as a result of the proposed study, the out-
look for continuity would appear promising. '
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CIVIL NIGHTS ASSURANCE
The applicant shall ccr.ply v:ith the terms end intent of Title VI of the Civil RiLhts Art cf IS54 (Public l.aw
t6S-352) and of the recutatiens promutcated pursuant to such Act by the Seaetrr;• of :Lc Interior (43 CFI; 27)
.ME AND TOILE OF CERLI.YING OFFICIAL SIGHaTVRC —
SPCA-14) r.67) (Page 3)
r. r.
TABLE 1
SEWAGE SYSTEMS - LARIMER COUNTY - WELD COUNTY - 19701
Discharge Effluent
Popula- Thousands BCD Disdh'arge Type
Community tion Taps gpd mg/1 To Treatment Comments
Berthoud 1,700 713 360 13.20 Little Thompson Trickling filters Expansion proposed
Fort Collins 43,337 9,148 7,440
Plant 111 10.60 Poudre River Trickling filters Near design capacity
Plant e2 16.66 Poudre River Activated sludge Near design capacity
Loveland 16,220 5,605 2,600 42.50 Big Thompson Trickling filters Near design capacity
Wellington 645 225 110 12.94 Boxelder Creek Aerated lagoons
Boxelder S.D. 1,800 419 250 33.76 Poudre River Lagoon Violating standards
Estes Park S.D. 9,800 4,075 520 5.20 Big Thompson Activated sludge
(summer) (suer)
North College
Sanitation Dist. 4,500 1,120 300 90.00 Poudre River Trickling filters Cease I desist issued
S. Ft. Collins
Sanitation Dist. 1,500 381 200 18.80 Fossil Creek Lagoons Violating standards
Ault S.D. 828 325 60 50 Dry Creek Imhoff and Trick-
ling filter
Dacono S.D. 363 112 Lagoon
Eaton 1,389 560 140 8 Ditch Extended aeration
Erie S.D. 1,090 300 80 34 Ditch Aerated lagoons
Evans 2,570 600 250 40 S. Platte Aerated lagoon
Fort Lupton 2,489 785 200 37 S. Platte Lagoons
Gilcrest S.D. 401 120 Lagoon Non-discharging
Greeley 38,902 9,614 Plan to build addi-
Plant M1 750 85 Poudre River Trickling filter tional treatment fa-
Plant e2 7,250 386 Poudre River Activated sludge cilities for packing
house wastes
Hill & Park S.D. 400 130 20 S. Platte Lagoon
Hudson S.D. 513 210 50 8 S. Platte Lagoon
Johnstown 1,191 370 100 23 Little Thompson Lagoon
Keenesburg S.D. 437 190 40 57 Dry Ditch • Lagoon
Kersey 467 40 140 Lagoon Needs Aeration or
more lagoon
LaSalle 1,227 400 100 18 S. Platte Lagoons
Mead S.D. 189 70 15 Intermittent Lagoon
Stream
Milliken S.D. 710 180 70 2 Big Thompson Extended Aeration
-Pierce S.D. 438 136 Lagoon No discharge since
built in 1970
Platteville 671 240 ' 60 48 S. Platte Lagoon
Windsor 1,564 613 160 Poudre River Aerated Lagoon Under construction
1From Interior Water and Sewer Planning Report, Larimer-Weld Regional Planning Commission, April 1971.
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Rates," submitted for publication in the Proceedings of the Soil
Science Society of America, being revised.
Phuc, Le Van and Morel-Seytoux, H.J. : "Computer Simulation of Capillary
Hysteretic Cycles in Infiltration," submitted to S.S.S.A. for
publication, being revised.
I '
APPENDIX 1
FOUNDATIONS OF ENGINEERING OPTIMIZATION
CE 649
1. Content and Format of Course
a) Content: list of topics
Classical techniques of calculus for optimization
Direct and indirect methods
Unconstrained optimization
Gradient methods
Constrained optimization
Jacobi method
Lagrange multipliers method
Inequality constraints
Jacobi method
Kuhn Tucker conditions
Differential Algorithms
Quadratic programming
Linear programming
Duality
Geometric programming
Uncertainty and optimization
Principal components analysis
Canonical variables
Calculus of variations
Finite elements method
Galerkin's method
Dynamic programming
Relation between dynamic programming and calculus of
variations
Dynamic programming under uncertainty
b) Applications
It is good to illustrate the theoretical developments on
applied engineering problems. The choice of the examples, however, must
be geared to the particular class at hand. Unless the student body
differed much from the first class, examples would probably be as follows :
Simple numerical examples in the first part of the course
Water conveyance system design (Differential Algorithm)
Rainfall-runoff relation (Quadratic Programming)
Conjunctive surface-groundwater usage (Linear Programming)
Minimal time detection of hydrologic change (Duality)
Economic value of hydrologic data (Uncertainty and
Optimization)
Wastewater treatment (Geometric Programming)
Drainage Basin
Geomorphology (Principal Components)
Channel seepage losses (Calculus of Variations)
Structural analysis (Finite Elements)
Irrigation water scheduling (Dynamic Programming)
Basin sediment control (Dynamic Programming)
Multiple purpose reservoir operations (Dynamic Programming
under Uncertainty)
c) Format
During the early part of the course, only theoretical topics
will be discussed in the lectures. The early workshops will be devoted
to review some material (if needed) and to work out simple numerical
examples.
Some examples will be worked out on the computer. (Extensive
computer usage is expected throughout the class.)
In the latter part of the course presentation of theory will
alternate with presentation of applications of the theory to engineering
problems. During the workshops theoretical material will be reviewed
(it probably will be needed then) , and students will present reviews of
literature dealing with optimization theory or its engineering applica-
tions. The students ' presentations will be open for discussion after
and during the presentations.
Appendix A
Recent Bibliography on Water Resources Systems
1. Ackermann, W. C. , Systematic Study and Development of Long Range
Programs of Urban Water Resource Research, ASCE PB 184 318,
Appendix G52, Sept. 1968.
2. Bear, J. and Levin, 0. , An Approach to Management and Optimal
Utilization of Aquifers, Proceedings of the 2nd Annual American
Water Resources Conference, Nov. 1966.
3. Berthouex, Paul M. and Polkowski, L. B. , Design Capacities to
Accommodate Precase Uncertainties, ASCE, Vol. 96, No. SA5,
October 1970, pp. 1183-1210.
4. Brater, E. F. , A Comment on Optimization Methods for Branching
Multistage Water Resources System, Water Resources Systems,
Vol. 5, No. 1, Feb. 1969.
5. Bredehoeft, J. D. and Young, R. A. , The Temporal Allocation of
Ground Water - A Simulation Approach, Water Resources Research,
Vol. 6, No. 1, Feb. 1970.
6. Brow, G. , Jr. , and McGuire, C. B. , A Socially Optimum Pricing
Policy for a Public Water Agency, Water Resources Research, Vol. 3,
No. 1, First Quarter 1967.
7. Buras, N. and Schweig, Z. , Aqueduct Route Optimization by Dynamic
Programming, Journal of the Hydraulics Division, Proceedings of
the ASCE, Sept. 1969.
8. Burt, 0. R. , On Optimization Methods for Branching Multistage
Water Resources Systems, Vol. 6, No. 1, Feb. 1970.
9. Burt, 0. R. , Temporal Allocation of Groundwater, Water Resources
Research, Vol. 3, No. 1, First Quarter 1967.
10. Butsch, R. J. , Reservoir System Design Optimization, Journal of
Hydraulic Division, Proceedings of the ASCE, Jan. 1970.
11. DeCoursey, D. G. and Snyder, W. M. , Computer-Oriented Method of
Optimizing Hydrologic Model Parameter, Journal of Hydrology,
Vol. 9, 1969.
12. Deininger, R. A. , Water Quality Management. The Planning of Economi-
cally Optimal Pollution Control Systems, Proceedings of the
First Annual Meeting of the American Water Resources Assn. ,
Urbana, Ill. , Dec. 1965.
13. Diskin, M. H. , Thiessen Coefficients by a Monte Carlo Procedure,
Journal of Hydrology, Vol. 8, 1969.
14. Domenico, P. A. , Anderson, D. V. and Case, C. M. , Optimal Ground
Water Mining, Water Resources Research, Vol. 4, No. 2.
15. Eisel, L. M. , Comments on 'The Linear Decision Rule in Reservoir
Management and Design' by Charles Revelle, Erhard Joeres and
William Kirby, Water Resources Research, Vol. 6, No. 4.
16. Erickson, L. E. and Fan, L. , Optimization of the Hydraulic Regime
of Activated Sludge Systems, Journal WPCF, Vol. 40, No. 3,
Part 1, March 1968.
l '. Galler, W. S. and Gotaas, H. S. , Optimization Anal sis of Biological
Filter Design, Journal of the Sanitary Engineering Division,
ASCE, Vol. 92.
18. Gisser, M. , Linear Programming Models for the Estimating the
Agricultural Demand Function for Imported Water in the Pecos
River Basin, Water Resources Research, Vol. 6, No. 4,
August 1970.
19. Hall, W. A. , Butcher, W. S. , and Esogbue, A. , Optimization of the
Operation of a Multiple-Purpose Reservoir by Dynamic Programming.
20. Harboe, R. C. , Mobasheri, F. and Yeh, W. W. G. , Optimal Policy for
Reservoir Operation, ASCE, Vol. 96, No. HY11, November 1970,
pp. 2297-2308
21. Kerri, K. D. , A Dynamical Model for Water Quality Control, Journal
WPCF, Vol. 39, No. 5, May 1967.
22. Labadie, J. W. and Dracup, J. A. , Optimal Identification of Lumped
Watershed Models, Water Resources Research, Vol. 5, No. 3,
June 1969.
23. Liebman, J. C. , and Lynn, W. R. , The Optimal Allocation of Stream
Dissolved Oxygen, Water Resources Research, Vol. 2, No. 3,
Third Quarter, 1966.
24. Loucks, D. P. , A Comment on Optimization Methods for Branching
Multistage Water Resources System, Water Resources Research,
Vol. 4, No. 2, April 1963.
25. Loucks, D. P. , Policy Models for Operating Water Resource Systems,
Proceedings of the Second A.W.R. Conference, 1966.
26. Loucks, D. P. , Revelle, C. S. , and Lynn, W. R. , Linear Programming
Models for Water Pollution Control, Management Science, Vol. 14,
No. 4, 1967.
27. Lynn, W. R. , Logan, J. A. , and Charnes, A. , System Analysis for
Planning Wastewater Treatment Plants, Journal WPCF, Vol. 34,
No. 6, June 1962.
28. Majumdar, K. C. , Determination of the Optimum Storage Capacity of
Reservoirs and the Associated Probabilities, Journal of Hydrology
Vol. 8, 1969.
29. Meier, Jr. , W. L. and Beightler, C. S. , An Optimization Method for
Branching Multistage Water Resources Systems, Water Resources
Research, Vol. 3, No. 3, 1967.
30. Mobasheri, F. , and Harboe, R. C. , A Two Stage Optimization Model
for Design of a Multipurpose Reservoir, Water Resources Research,
Vol. 6, No. 1 , Feb. 1970.
31 . Moss, M. E. , Optimum Operating Procedure for a River Gaging Station
Established to Provide Data for a Water Supply Project, Water
Resources Research, Vol. 6, No. 4, August 1970.
32. Nash, J. E. , and O'Connor, K. M. , Comment on Computation of Optimum
Realizable Unit Hydrograph by Peter S. Eagleson, Ricardo Mejia-R,
and Frederic March, Water Resources Research, Vol. 4, No. 1,
Feb. 1968.
33. Raman, V. , Developments in Water System Network Design, ASCE, Vol. 96,
No. SA5, October 1970, pp. 1249-1263.
34. Revelle, C. S. , Loucks, D. P. , and Lynn, W. , Linear Programming
Applied to Water Quality Management, Water Resources Research,
Vol. 4, No. 1, Feb. 1968.
35. Revelle, C. S. , Loucks, D. P. , and Lynn, W. R. , A Management Model
for Water Quality Control, Journal WPCF, Vol. 39, No. 7, July 1967.
36. Revelle, C. S. , and Kirby, W. , Linear Decision Rule in Reservoir
Management and Design, Water Resources Research, Vol. 6, No. 4,
August 1970.
37. Shechter, M. , and Schwarz, J. , Optimal Planning of a Coastal
Collector, Water Resources Research, Vol. 6, No. 4, August 1970.
38. Schweig, Z. , and Cole, J. A. , Optimal Control of Linked Reservoirs,
Water Resources Research, Vol. 4, No. 3, June 1968.
39. Thomas, Jr. , H. A. , Operations Research in Water Quality Management,
Division of Engineering and Applied Physics, Harvard University,
Cambridge, Massachusetts, Feb. 1965.
40. Young, G. K. , and Pisano, M. A. , Non-Linear Programming Applied to
Regional Water Resource Planning, Water Resources Research,
Vol. 6, No. 1, Feb. 1970.
41. Ward, E. J. , System Approach to Choice in Transport Technology, ASCE,
Vol. 96, No. TE4, November 1970, pp. 455-462.
42. Warley, J. L. , and Burgess, F. J. , Systems Analysis Approach to
Water Quality Prediction in a Complex River Basin, Western
Resources papers (Boulder, University of Colorado Press, 1965) .
43. Wilson, T. T. and Kirdar, E. , Use of Runoff Forecasting in Reservoir
Operations, ASCE, Vol. 96, No. IR3, September 1970, pp. 299-308.
APPENDIX B - Notes
Optimization Technique - It was shown previously that decisions
could be taken to allocate water uses based on the solution of an
optimization problem, provided the optimization problem can be solved!
The objective function is non-linear, the constraints are probably
non-linear and worse still, some of the constraint functions may be
implicit requiring the use of the physical model for evaluation. The
optimization problem then may be unstructured preventing the use of the
wellknown but limited techniques such as linear programming, quadratic
programming, geometric programming, etc. One must return to the basic
concepts of optimization and utilize a differential algorithm. Because
of the implicit nature of some of the physical model functions, some of
the required derivatives may have to be calculated by running the model
varying one variable at a time, in a unit amount.
Differential Algorithm-- In essence the differential algorithm
consists of linearizing (locally) the non-linear objective function,
the equality and inequality constraints and of eliminating (implicitly)
the state variables from the objective function and the constraints.
The rate of change of any function, expressed only in terms of decision
variables, with respect to one decision variable is called the con-
strained derivative of the function with respect to that variable.
The algorithm to iteratively increase the objective function is very
similar to the Simplex procedure of linear programming except that the
interchange of a basic with a non-basic variable is not the only possi-
bility. Interchange among decision variables is also possible. This
results from the fact that for non-linear problems at the optimum a
decision variables is not necessarily zero if the corresponding
constrained derivative is zero. The algorithm stops when the Kuhn-
Tucker conditions are satisfied.
Alternate Optimization Policies
The design of the allocations was an honest effort to implement
the law closely while trying to make the most of whatever freedom was
left in the law at the discretion of the enforcement agency.
One can also think of a different sort of regulation that would
not meet the letter of the law at present but would have sufficient
appeal to all using that amendment of the law would become attractive.
Work Plan
1. First Phase: Development (1st and 2nd year)
The objectives of the first phase are the development of the tools
needed in the study. The tools are of two sorts: (a) the computer
programs and (b) the data. They are not independent because the com-
puter models depend on the selected region on which to check them.
The region selected is a fraction of the South Platte River Basin within
the State of Colorado.
a) Computer programs
In development of the computer models great care will be exerted
to separate the general aspects from the regional sides so that the same
model can be used for other regions by changing the subroutines with
regional vocation and only those. This can be achieved by careful (and
stubborn) planning with constant attention to reduce the work of the
user rather than that of the programmer..
The development of the computer models require work along two
lines: conception and implementation. The implementation will require
careful, professional programming (i.e. , not by graduate students) .
Because of the regional rather than local character of the work, the
running costs must be trimmed to the bare minimum.
The economic model will require conceptual work for a refined
formulation of the stochastic one-stage and multi-stage optimization
problem. There will be need for some work on efficient techniques in
the differential algorithm. Hopefully, some structure can be found
which would permit acceleration. As for the physical model, professional
programming will be needed.
b) Data assembly
This phase must be given priority over the development of the
models because of the systematic nature of the study. The nature,
availability and degree of completeness will condition partly the
model . The efficient processing of the data in a form compatible with
the system is also very important. It must be viewed as a standard
procedure to be used later on in the enforcement agency, were the agency
to adopt the procedures. At least one economist is expected to work
on a part-time basis on the judicious choice of the final objective
function and constraints.
Seasonal Variations
Unfortunately, even the fully non-linear version of the transporta-
tion problem discussed earlier is very incomplete. It is based on use
of mean annual values for supply and demand. It permits, therefore,
to plan for the future with respect to trends, e.g. , in demand or
tightening of quality standards. If the trend is very marked and more
important than annual or seasonal variations, the model and its
optimization will provide a sound tool for planning. On the other
hand, seasonal variations may be far more important than long-term
trends. In that case, this effect must be included in the model and
possibly also the presence of random fluctuations. But again, until
the real system is closely studied, this is speculation. At least
the real system though complex has the advantage of being unique.
Only one problem has to be solved. There is no limit to the number
of hypothetical problems:
PART II, SECTION B, SUPPORTING INFORMATION
1. Project Personnel
A. Larimer County_
Grant Director, William C. Manuel, Larimer County
Commissioner
Regional Technical Coordinator Douglas Wigle, Director,
Larimer County Health Dept.
Regional Planning Coordinator Dwight Whitney, Larimer
County Planner
Field Technicians (2)
Laboratory Technicians (2)
B. Colorado State University —
Project Co-Director Hubert J. Morel-Seytoux, Assoc. Prof.
of Civil Engineering
Project Co-Director David W. Hendricks, Assoc. Prof.
of Civil Engineering
Graduate Research Assistant to be selected Graduate student
Graduate Research Assistant to be selected Graduate student
Graduate Research Assistant to be selected Graduate student
Graduate Research Assistant to be selected Graduate student
Graduate Research Assistant to be selected Graduate student
Graduate Research Assistant to be selected Graduate student
Admin. Assistant- Secretary to be selected
Professional Programmer to be selected
2. Other Project Activity
This application has not been submitted to any other agencies -
nor is this anticipated.
SECTION II- PRIVILEGED COMM .ATION
BIOGRAPHICAL SKETCHES
I wnithe t Investigator. nnilnnatlon Pages awl follllowH the member.
MNn%format to. eh arn Person')
genera
NAME TITLE HRTHOATE IMa., Day, V.4
David W. Hendricks Associate Professor of 9/ 10/31
Civil Engineering
PLACE Of SHUN ICU,. Connery, PRESENT NATIONALITY (I/ non-U.S. Nikes.Indlcate .ire SIX
waIN.)
Springfield, Missouri, U. S.A. U. S.
®Mel. ❑Fennel*
EDUCATION (Begin with baccala,.rent training fora meld. pawde moral)
YEAR
INSTITUTION AND LOCATION DEGREE CONFERRED
University of California, Berkeley (Civil Engineering) B. S. 1954
Utah State University, Logan (Hydraulic and Irrig. Engin.) M. S. 1960
University of Iowa, Iowa City (Sanitary Engineering -- minor Ph. D. 1965
in physical chemistry)
University of Wisconsin, Madison, Sept. 1964-March 1965
(CIC Traveling Scholar--for additional training in water
chemistry and dissertation experiments)
HONORS
None
•
MAJOR RESWCH IHTHIST
1. Waste management and environmental quality
2. Physical chemistry of waste treatment
RELATIONSHIP TO PROPOSED PROJECT
Principal Investigator
RESEARCH AMOR PRORSSIONAL ESNSIENCE (Stan welsh prevent paNetawt Nw ALL experience rcb.ane to pniect.l
1. Assoc. Prof. of Civil Engineering, Civil Eng. Dept. , Colorado State University
August, 1970 - present. -
2. Assoc. Prof. , Assist. Prof. of Civil Eng. , Utah Water Research Lab. , July,
1965 - August, 1970.
a. Teaching: (1) water chemistry, (2) unit operations in sanitary engineering
(3) engineering systems analysis
b. Research: Water quality
3. Graduate Student, University of Iowa, September 1961 - June 1965
a. USPHS Terminal Doctoral Fellowship, May 1, 1964 - April 30, 1965
b. Research Assist. , May 1, 1963 - April 30, 1964
Ecology of Actinomycetes in Natural Streams
c. Academic Work: Major in sanitary engineering with some work in fluid
mechanics and hydraulics and minor in physical chemistry
4. Instructor, Assist. Research Prof. , Eng. Exp. Sta. and Civil Eng. Dept. ,
Univ. of Idaho, Jan. 1958 - Sept. 1961.
a. Teaching: (1) fluid mechanics, (2) hydraulics, (3) hydrology
b. Research: Canal Seepage
Additional assignments:
1. Consultant, Eimco Corp. , 1966 and 1967--research on waste treatment
equipment design.
2. Consultant, Water Quality Associates, for Cornell, Howland, Hayes,
Merryfield--on stream pollution, 1966 and 1967.
PHS-398(REV.5-66)
t
3. Publications and References
(a) Publications by project personnel related to proposed work:
D. W. Hendricks
(1) D. W. Hendricks and J. M. Bagley, "Water Supply
Augmentation by Reuse," Proceedings of the AWRA
Conference on Water Balance in North America,
Banff, June 1969.
(2) D. W. Hendricks, N. P. Dixon, and R. S. Whaley,
"System Economic Response to Water Quantity and
Quality," Am. Water Resources Assoc. , Vol. 6,
No. 4, pp. 682-694, Aug. 1970.
(3) N. P: Dixon and D. W. Hendricks, "Simulation of
Spatial and Temporal Changes in Water Quality
Within a Hydrologic Unit," Water Resources Bulle-
tin, Jour. Am. Water Resources Assoc. , Aug. 1970,
Vol. 6, No. 4, pp. 483-497.
(4) N. P. Dixon, D. W. Hendricks, A. L. Huber, and
J. M. Bagley, "Developing a Hydro-Quality Simu-
lation Model," Utah Water Research Lab Report
PRW667-1, Logan, Utah, June 1970.
(5) A. Bruce Bishop and D. W. Hendricks, "Water Reuse
Systems Analysis," submitted to the J. San. Engrg.
Div. , ASCE, May 1970.
(6) A. Bruce Bishop, D. W. Hendricks, and J. H. Milligan,
"Analysis Methodology for Assessment of Water Supply
Alternatives," paper schedules for AWRA Annual
Meeting, Las Vegas, Nov. 1970.
(Plus about twelve additional titles) .
Also relevant to the proposal are:
(7) D. W. Hendricks, "The Metabolism of Society - The
Management of Wastes," unpublished Sigma Xi Lecture -
Utah State Univ. Chapter, Nov. 1969.
(b) Publications by Hubert J. Morel-Seytoux
6KTION n-CNI1/1t4GJQ COMMU. wow .
• BIOGRAPHICAL SKETCHES
tsly.ti fi a hJ.rtnallra jar EACH ht,staff member, beflnnln[ with the ldadpal
rar. Va/nnttn.aan I.,n wad/allay th. es,( 1 limit far aaA Ierran.l
MAMA WU .IRINDAtt IMe., On,Yr.)
Hubert J. Morel-Seytoux Civ aigEgf-TR or of
1Gp Ol WIN ICIy.Lw.ensue) mud NA t Of aan•UJ. spleen,indicate .lea S01
00114 . -
U. S. Citizen di TUN OTa-ela
gitleuroll Was,with bisootleutaso adobes all inel.4. /ayJanardl
T4.
' sun AND{0CIITI0N Man C0NTLL85D
Ecole Nationale des Ponts et Chanssee, Paris M. S. 1956
. Stanford University, Palo Alto, California Ph. D. 1962
Doctoral Major: Hydraulics •
Doctoral Minor: Mathematics .
IaNen
WlM IuwCNDapuf •
Multiphase flow in porous Stochastic hydrology
Applied mathematics, statistics
Systems analysis and computer simulations of complex technical problems
YATI0NSNM TO 1801050 NOACT
Co-principal investigator
11$IAWd ANDI08 180 ISN0NM OOUIIMCI Oast a li proems DSI$Sl No AU.a pertenea relevant id.prelim)
1966 to present - Colorado State University, Department of Civil Engineering.
1962 to 1966 - Chevron Research Co. , Reservoir Analysis and Applied
Mathematics Section. -
1960 to 1962 - Ecole de Guerre, Paris, Department of Military Operations
Research.
I
l
PROJECTS - current
Hydrological aspects of Weather Modification .
Systematic Treatment of the. Problem of Infiltration
'Selection of Test Variable for Minimal Detection of Basin Response
to Natural and Induced Changes.'
TEACHING - current
Foundations of Engineering Optimization
Mathematics of Saturated Flow in Porous Media
BIOGRAPHICAL SKETCH
Morel-Seytoux, H. J. , Associate Professor of Civil Engineering
Dr. Morel-Seytoux graduated in 1956 with a M.S. degree in Structural
Engineering from the Ecole Nationale des Ponts et Chaussee, Paris. He
received his Ph.D. degree in Civil Engineering, major: hydraulics,
minor: mathematics, in 1962 from Stanford University. From 1960 to 1962,
he worked at the Ecole de Guerre, Paris, in the Department of Military
Operations Research. From 1962 to 1966, Dr. Morel-Seytoux worked for
Chevron Research Company (formerly California Research Corporation) in
the Reservoir Analysis and Applied Mathematics Section. From these five
years of work in the petroleum industry, combined with his two years
military experience in Operations Research, Dr. Seytoux has gained
experience in the areas of multi-phase flow in porous media, applied
mathematics, systems analysis and computer simulation in complex technical
problems. In November, 1966, he joined the faculty of Colorado State
University in the Department of Civil Engineering. He is presently
responsible for the research program in the Hydrological Aspects of
Weather Modification, a brance of the Hydrology Program at Colorado State
University. Through his work on statistical evaluation of precipitation
management based on runoff as test variable, Dr. Seytoux has developed
expertise in the use of statistics particularly in the fields of decision
theory and of multivariate analysis. He is currently principal investi-
gator of the research projects, "Systematic Treatment of the Problem of
Infiltration" and Selection of Test Variable for Minimal Time Detection
of Basin Response to Natural or Induced Changes." Professor Seytoux
�-.
taught a course on "Foundations of Engineering Optimization" this winter,
1971. An outline of this course is appended (Appendix 1) .
Publications:
Morel-Seytoux, H. J. : "Effects of Boundary Shape on Channel Seepage,"
Technical Report No. 7, November 1961, Department of Civil Engi-
neering, Stanford University, 100 pages.
Morel-Seytoux, H. J. : "Flow Characteristics in a Doubly Periodic Pattern
of Injection and Production Well Lines for a Mobility Ratio of 1,"
Technical Memorandum, California Research Corporation, May 20, 1963,
36 pages.
Jennings, H. Y. and Morel-Seytoux, H. J. : "Laboratory Tests. Hydraulic
Transportation of Iron Ore," California Research Corporation,
October 4, 1963, 61 pages, (Confidential) .
Morel-Seytoux, H.J. : "Domain Variations in Channel Seepage Flow,"
Journal of the Hydraulics Division, Proceedings of A.S.C.E. ,
March 1964, pp. 55-79.
Morel-Seytoux, H.J. : "Unit Mobility Ratio Displacement Calculations for
Pattern Floods," Research Report 855, California Research Corpora-
tion, December 21, 1964, 96 pages .
Dougherty, E. L. and Morel-Seytoux, H.J. : "Simulation of Moving Inter-
faces in Oil Reservoirs," in "Computers in the Mineral Industries,"
Part 2, Stanford University Press, 1964, pp. 845-880.
Morel-Seytoux, H.J. : "Integral Equations from an Amateur's Standpoint,"
California Research Corporation, Technical Memorandum, March 8,
1965, 20 pages.
Morel-Seytoux, H.J. : "Analytical-Numerical Method in Waterflooding
Predictions," Soc. Pet. Eng. Jour. , Sept. 1965, pp. 247-258.
Morel-Seytoux, H.J. : "Unit Mobility Ratio Displacement Calculations
for Pattern Floods in Homogeneous Medium," Society of Petroleum
Engineers Journal, Vol. 6, No. 3, September 1966, pp. 217-227.
Morel-Seytoux, H.J. : "A Study of Quasi-Linear Noncapillary Two-Phase
Flow in Porous Media," Chevron Research Company, Research Report
900, September 23, 1966, 95 pages. (Restricted to Company Ube) .
Morel-Seytoux, H.J. : "Flow of Immiscible Fluids in Porous Media,"
Chevron Research Company, Technical Memorandum, September 1966,
433 pages. (Restricted to Company Use) .
Julian, R. , Yevjevich, V. and Morel-Seytoux, H.J. : "Prediction of Water
Yield in High Mountain Watersheds Based on Physiography," Hydrology
Paper No. 22, Colorado State University, August 1967, 20 pages.
Morel-Seytoux, 11.J. : "A Study of Quasi-Linear Noncapillary Two-Phase
Flow in Porous Media," Development in Mechanics, Volume 4, Pro-
ceedings of the 10th Midwestern Mechanics Conference, Colorado
State University, August 1967, Johnson Publishing Company,
pp. 1321-1335.
Morel-Seytoux, H.J. : "Yearly Report No. 1, August 21, 1967," Bureau of
Reclamation Skywater Project 1967 Annual Report, January 1968,
Volume 2, pp. 1-13.
Morel-Seytoux, H.J. : "Suitability of Basins to Weather Modification
and Statistical Evaluation of Attainment," Final Report to the
Bureau of Reclamation for FY 1966 and 1967, Hydrology Program,
Colorado State University, Fort Collins, Colorado, July 1, 1968,
Part 1, 62 pages. Part 2, 19 maps. Part 3, 118 pages. Part 4,
30 pages.
Morel-Seytoux, H.J. : "Yearly Report No. 2, August 30, 1969," Bureau of
Reclamation Skywater Project 1968 Annual Report, January 1969,
Volume 2, pp. 7-31.
Dumas, A.J. and Morel-Seytoux, H.J. : "Statistical Discrimination of
Change in Daily Runoff, : Colorado State University Hydrology
Paper No. 34, August 1969, 29 pages.
Morel-Seytoux, H.J. : "Introduction to Flow of Immiscible Liquids in
Porous Media," Chapter XI in "Flow through Porous Media," R. de
Wiest, editor, Academic Press, 1969, pp. 455-516.
Nakamichi, H. and Morel-Seytoux, H.J. : "Suitability of the Upper Colorado
River Basin for Precipitation Management," Hydrology Paper No. 36,
Colorado State University, October 1969, 62 pages.
Nimmannit, V. and Morel-Seytoux, H.J. : "Regional Discrimination of Change
in Runoff," Colorado State University Hydrology Paper No. 37,
November 1969, 40 pages.
Morel-Seytoux, H.J. : "Yearly Report No. 1, August 31, 1969" Bureau of
Reclamation Skywater Project 1969 Annual Report, March 1970,
pp. 53-68.
Brustkern, R. L. and Morel-Seytoux, H.J. : "Analytical Treatment of
Two-Phase Infiltration," A.S.C.E. , Hydraulics Division,
December 1970.
17
One must remember that the linear form of the decrease of the
unit cost with volume transferred is only a speculation. Suppose the
unit cost degreases non-linearly with volume transferred. Now the
problem is one of minimization of a non-linear but convex objective
function subject to linear constraints. Again, the problem can be
solved by a solution algorithm known as the Jacobi Differential
Algorithm. (An alternative is Dynamic Programming though in view of
the probably large number of constraints, not an attractive one.)
Speculating further, it is quite possible that the cost Ci not j
only depends on Xij but also on XRm if source i is a secondary
source depending on the effluent of use m . Then, the total cost
function will include terms of the form (possibly) : a(X )S .
(Xij) Rm
In this case, the Differential Algorithm is still applicable (Geometric
Programming becomes an attractive alternative but Dynamic Programming
is out) .
One degree of speculation further will lead to a minimization
problem of a non-linear objective function with non-linear constraints.
A differential Algorithm solution is still feasible.
This discussion should have shown the futility of speculation
concerning the exact form of the Mathematic Programming problem. Close
study of the Real System will reveal that form and the case should
not be prejudiced beforehand. In addition, the discussion should have
shown that System Optimization is not to be equated with Linear Pro-
gramming and is advanced enough to justify the effort of trying to
apply it to a Real System. Finally, it should have shown that a care-
ful analysis of the cost functions based on past available data for
18
the system is needed in order to discover at least an approximate
structure to the Mathematical Programming problem.
O. Incorporate effects of season demands on a stochastic source
In a previous section a non-linear version of the transporta-
tion problem was discussed. It was based on average annual values
for the supply and for the demand. The model is valid only to the
extent that the long-term trend of increase in annual demand is the
predominant feature of the system and that it shadows both the seasonal
variations in demand and the chance fluctuations in supply. Typically,
the demand has definite variations with season but minor chance fluc-
tuations. For example, in residential suburban areas of the county,
typically the domestic water consumption is low in the Fall-Winter
season and doubles in the Spring-Summer period. The ratio of consump-
tion in the two periods is very stable regardless of the summer
weather conditions. In this case, the demand has a pronounced seasonal
character but practically no random variations. The agricultural
demand will have similar characteristics.
On the other hand, the surface water supply displays under natural
conditions both pronounced seasonal variations and considerable chance
fluctuations. Typically, the April-September runoff is 10 times the
October-March runoff and the coefficient of variation (standard
deviation/mean) of yearly flow averages around 30%. In layman's terms,
this last figure implies that within a six year record of flow, there
is almost certainty that the flow for the wettest year will be about
twice that for the driest year. This result, of course, only applies
to the natural flow. For well regulated streams with large reservoir
capacities, much of the stochastic nature of the flow has been removed.
19
Generally speaking, it can be said, nevertheless, that the
demand displays definite seasonal variations whereas the supply may
not have a negligible chance behavior.
The transportation model can easily be modified to account for
the seasonal variations in demand. It suffices to define the new
variables Xijk to correspond to volumes of water transferred from
source i to use j for season k , with corresponding changes in
the total cost objective function and the demand constraints. Roughly
speaking, the size of the problem to be solved doubles if the year is
divided into two seasons, triples if it is divided into three seasons,
etc. For Larimer County, the division in four seasons (not necessarily
equal) may provide a sufficiently detailed picture of the system.
Stochastic Fluctuations
The problem of the system may be viewed as a scheduling problem
with uncertain and, therefore, variable supply. One can distinguish
two types of scheduling, for the short and for the long run. For the
long run, "the effect of chance events is reduced to a minimum by the
usual technique of providing plenty of fat in the system. . .with the
hope that it will be a shock absorber, which will permit the general
objective and timing of the plan to be executed in spite of unforeseen
events. More precisely, the fat is introduced into the system so that,
whatever be the random unforeseen event, the activities chosen will
still be feasible" or in other words, all the water needs can be met.
"The effect of chance events is also reduced to a minimum by the tech-
nique of providing plenty of slack in the system. By this we mean the
scarce exogenous inputs to the system are estimated on the low side,
so that it is highly unlikely for the set of chosen activities" (say
20
meeting the water needs) "to be infeasible because of shortages,"
(unexpected low flows) . As long as water availability is well above
demand or if the demands can be shifted in time, the "slack" or "fat"
techniques can be employed. For years of drought, short-run scheduling
on this basis, coupled with the fact that agricultural water demands
cannot be shifted in time, will lead to actions far from optimal.
To the contrary of the well categorized types of mathematical
programming for deterministic problems, there are no standard approaches
to optimization under uncertainty. "One of the basic difficulties is
that the problem is capable of many formulations." The particular
formulation finally selected will depend on the actual characteristics
of the system under investigation.
Nevertheless, for the sake of illustration, let us consider the
case of the allocation problem with variable costs. Clearly, this is
an actual problem. The costs associated with treatment and distribu-
tion, their dependence on scale of plant or trunkline, etc. , are not
exactly known. There will be a distribution (in the statistical sense)
associated with a range of cost values. The total cost objective
function, namely (including seasonal effects) :
KKC mC nC
TC = L C C Cijk Xijk (8)
k=1 i=1 j=1
where K is the selected number of seasons in the year, is a random
function because the costs are random. In optimization, the objective
must be well defined because it is not possible to optimize a random
objective function. A convenient (if not rigorous) procedure is to
optimize the expectation of the random objective function, namely,
21
TC* = E{TC} = L E{C(X)X} (9)
where all subscripts have been dropped for brevity and the symbol E{ }
means expected value of { } . The expected value of C(X)X is no
longer a random variable and it can be written as q(X) . Thus
TC* = I (1)(X) (10)
The optimal X's , denoted X , will minimize TC* . The minimum
value of TC* is denoted TC*. Once this strategy is adopted, the
actual total cost will depend on the actual costs so that the actual
total cost corresponding to the X's , TC , will vary more or less
widely around TC*. If the range of fluctuation is broad, this may
lead to unpleasant and embarrassing surprises. A strategy with a
low expected total cost but also great variability may not be as
desirable as a strategy which shows greater cost stability. Thus,
instead of minimizing E{TC} , one may select to minimize the variance
of TC , denoted V , namely,
V = E[{TC - TC*]2} (11)
subject to the constraint
TC* < TC* (l+r) r > 0 . (12)
This constraint expresses the fact that one wishes cost stability but
not at any price. The strategies for choices of r of 10%, 20%, etc.
can be studied parametrically. At a certain point, additional increases
in total cost will not reduce risk significantly. One will settle for
this reasonably reduced risk acquired at a moderate level of increase
in total cost.
22
The random character of costs raised the question of how far off
the actual total cost would be from a calculated minimal cost. It
was not a matter of whether the plan will work or not, that is e.g. ,
of whether the domestic water will meet the health standards or not.
It was simply a matter of actual cost.
The random character of the water supply, particularly of the
availability of the surface water supply, raises an entirely different
question. If an optimal strategy is calculated (and implemented)
based on average river flows, the quality standards may not be met in
years of low flow. It is not a matter of calculated versus actual
costs. In this case, the cost is fixed. It is now a matter of
whether the plan is working as it should. It is now a matter of feasi-
bility. Will the plan remain feasible when the assumptions from which
it was derived are violated? A possible remedy is to plan not under
average conditions but on the basis of low flow, say the 1 in 20 years
low flow. This is the typical "fat" or "slack" technique referred to
earlier in this section. It will guarantee that the plan will meet
the constraints most of the time, practically all the time. With this
technique planning is simple but excessive overdesign is guaranteed
with the resulting associated unnecessary high costs. The plan has the
advantage or disadvantage, depending on viewpoint, to provide superior
quality standards most of the time rather than acceptable legal stan-
dards. Another approach is to develop a plan based on assumption of
a 1 in 5 years low flow, the regular plan so to speak and in addition,
to have a contingency plan. The contingency plan is more costly but
goes on operation only infrequently. The total objective function is
a weighted combination of the most frequent (regular) cost and of the
•
23
crisis cost. The weights correspond to the frequency of occurrences
of normal versus contingency operations. The problem is the determina-
tion of the frequency of occurrence of a contingency. Most likely,
no formal statistical derivation of this number is possible for a
complex real system. However, that number can be estimated by simula-
tion of response of the system to a generated sequence of hydrologic
events (Monte-Carlo technique) .
f. Define and initial array of reasonable alternatives
The entries for the solution matrix must be braodly inclusive
in initial stages, to incorporate as entries all vectors (i.e. , row
or column entry) which might possibly comprise part of a solution.
The existing system of facilities will be the core to be expanded.
Whether to enlarge existing plants, develop regional plants, allow
transfers and trades in water will be screened through this compre-
hensive matrix. Any proposed facility and its size and arrangement in
the system can be evaluated. Examples of facilities include storm
sewers, dilution storage, tertiary treatment plants, desalting plants;
examples of arrangements include whether say the tertiary plant should
be a part of an existing secondary plant expansion or whether effluents
from the existing secondary plants should be piped to a regionalized
tertiary or desalting plant.
This initial array will be an expansion of current regional planning
studies which are being conducted by a local consulting engineering
firm (Moline and Ireland) for Larimer County. These studies will be
of considerable value in that many of the factors regarding location
of trunklines and treatment plants will have been examined.
• 24
Once all of these alternatives are listed, they can be screened
for physical, social, political and financial infeasibilities.
g. Execute the least cost solutions
In the previous step, we selected the individual row and
column entries for the regional matrix. In this step, we must find
the least cost optimum solution. We do this in accordance with the
optimization procedures outlined in Step 5.
h. Utilize the least cost solutions in planning the regional
system
(1) Refined cost estimates of system facilities
At this point, we must examine the least cost solution and
find the parts of that solution which might be modified in a major way
without affecting the system to a major degree. Further, the finer
details of cost reality for this specific system must be incorporated.
This includes labor costs, willingness of the management to operate the
system properly, the refined cost estimates to include rights of way,
more detailed consideration of construction costs, and other factors
which will be more evident as the familiarity with the system evolves.
Thus, we must engage in a preliminary design of the array of transport
and treatment facilities and then repeat the least cost solution using
refined matrix entries.
(2) Sensitivity analysis
At this point, we wish to know also how sensitive the system
is to relaxing or tightening certain controllable constraints, and to
the cost estimates used, and to the quality of data procured. This
information will show where to concentrate on in obtaining better cost
estimates and data procurement.
25
We can also ascertain the effect of proposed social goals on the
system least cost solution; this gives the opportunity cost of that
goal. Also, if we relax a law, or assume a basin water firm, as con-
trasted with the current fragmented institutional array, we can assess
the effect in least cost dollars.
The effect of physical boundaries can also be assessed. We can
do this by considering the Fort Collins and Loveland areas separately
and then together. Though not a definitive study, we may be able to
glean some insight into how to draw economic boundaries for regional
studies.
i. Define the system plan and facilities scheduling through
target year
In this step, we must translate our studies into a specific
and tangible program. The time phasing, sizing, and location of plants,
trunk lines, and main water distribution lines will be delineated.
j . Deliver an operational model to EPA
We plan to develop our model so as to contain as much generality
as possible. We will do this by means of subroutines, each containing
a component, attached to a general solution algorithm. We will do this
for two reasons: (1) the general plan of approach and the details for
execution can be made intelligible to others, and (2) the details of
execution will differ not only in numerical inputs, but in method of
approach for many details, characterized as subroutines.
In addition to the computer algorithm, we plan to outline a verbal
solution algorithm illustrated on a small scale, but unsimplified,
showing functional relationships for costs, etc. , and solution methods.
The value of our work may be primarily in the fact that it was done.
26
This fact, per se, in addition to the specific mode of approach may be
the prime value. Thus, we assess the value of our work as follows in
decreasing order of real world impact:
(1) We have actually done a comprehensive water systems anal‘ ,. : ,.
on a regional scale
(2) We have outlined a general mode of approach-- i .e. , an
algorithm of procedures applicable to a real system.
(3) We have a systems analysis regional water planning model
that is operational
1. Project organization
Figure 5 is one concept of project organization. The goal
of this organizational chart is to both fix responsibilities and to
provide a line of authority which can work expediently in solving
problems. In this table of organization, Larimer County is the policy
making body, while the operation is handled by the CSU project directors.
Table 1 shows how each task in project execution and operation is
to be accomplished. The project will be managed by use of an expanded
Table 1 and by the PERT-time diagram, Figure 6.
Based on the results of the study another table for data procurement
with Weld County and other cities, will be prepared jointly with Larimer-
Weld Regional Planning Commission.
k. A Comprehensive River Basin plan is to be presented to the Colo-
rado State Health Department, Colorado Planning Commission and
the Environmental Protection Agency for certification.
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and Responsibility X
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r —
. Project Overall Technical Direction X X X
Project System Analysis Direction X X
J
Fiscal Control X X X
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Quarterly Progress Reports _.__...X X X
X I
Fiscal Quarterly Reports X
i
Literature Searches XXXXXX
T 7
Physical System Data Procurement X X
Cost Data Procurement _ X X
Growth Projections Data _ X
Data Analysis _ X X X X -
Data Analysis Review X X X
Regional Model Design X X X
Delineation of constraints v
physical X X X
social X X X
political X X X
economic X X X
• Delineation of system component
alternatives X X X
System Mathematical Description X X X r X X X
System Optimization _ Xi j X
Optimization Algorithms X X X
Computer Programs X X X
Sensitivity Analysis X X X T X X
_ r
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policies X X X X X
Optimal Policy X X X I X X
Delivery of Operational Model to EPA X X X XI X •
Specific Selected Regional Plan in t
time and space X X X
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4. Project Facilities
This work will be performed primarily at the Engineering Research
Center, a large three-story office and laboratory building located at
the Foothills Campus, Colorado State University. This building is
used by graduate students and faculty in the various research programs
in the College of Engineering; the sanitary engineering program occupies
about 2200 square feet (there is a sanitary engineering laboratory on
the main campus which occupies 900 square feet making a total labora-
tory space of 3100 square feet) of this space. The building is rather
complete in the support facilities provided, such as library reading
room and library procurement service (with main library) , card punching
services, and computer center courier service, etc.
The facilities required for this project will be office and
computational space will be needed for three graduate students and a
secretary, which can be provided. The CSU Computer Center computer is
a CDC 6400,' located in the Engineering Building. This computer is
adequate in storage and speed for the modeling requirements of this
project. A remote terminal to the CDC 6400 is scheduled to be
installed in the Engineering Research Center in November 1970. The
immediate turn around time provided by this terminal will result in
significant economy of time over the conventional procedure.
REFERENCES
1. Beard, L. R.
2. Northern Colorado Water Conservancy District, "Thirty Third Annual
Report 1969-1970," District Office, U.S. Highway 34, P. 0. Box
679, Loveland, Colorado.
3. Larimer Weld Regional Planning Commission, "Interim Water and Sewer
Planning," April 1971, P. 0. Box 2137, Fort Collins, Colorado
80521, Service Building, Greeley, Colorado 80631.
4. Fort Collins Chamber of Commerce, "Designing Tomorrow Today," Dec.
1970, Report.
5. Moline and Ireland Consulting Engineers, "Area Sewerage and Sewage
Treatment Facilities Development Plan for Larimer County,"
Larimer County Health Dept. , Fort Collins, 1970.
6. U. S. Bureau of Reclamation, "Concluding Report, July 1966, Cache
La Poudre Unit, Longs Peak Division," Region VII, Denver
7. Misbach, G. , "Comprehensive Survey of Cache La Poudre River - May 5
through June 12, 1970," Water Pollution Control Division,
Colorado Dept. of Health, 1970.
8. Misbach, G. , "Comprehensive Survey of Cache La Poudre River - Supple-
mental Report - Sept. 8 through October 13, 1970," Water Pollu-
tion Control Division, Colorado Dept. of Health, 1970.
7
a key source of data and a core of ideas for feasible locations of head-
er and trunk lines and one set of alternatives for size and location of
waste treatment facilities. Our work would use these current studies
as a basis for extension into total comprehensive planning, which will
examine additional alternatives in size, location, and type of treatment,
and will introduce optimizing techniques. Actually the Larimer and Weld
counties are already quite advanced in their perspective of total com-
prehensive planning - having formed the Larimer-Weld Regional Planning
Commission in 1969. This Commission has, in turn, recommended a two
county regional sanitary authority.
b. Development of a suitable framework for analysis and date
utilization.
We plan to use the mass balance principle to model the quantity-
quality characteristics of the regional system. The application of the
principle to both quantity and quality is facilitated best for the whole
system of many individual uses and in-stream changes by matrices de-
tailed to the desired degree of resolution. In addition, the matrix
concept will be extended, in execution of several other phases of the
project, in both utilitarian and conceptual contexts. Figure 2 is a
partial representation of the water supply-waste system for the Poudre
River basin in Larimer County showing several categories of origin and
demand. (For brevity the Big Thompson system is excluded from this ex-
ample) .
•,"-, n
8
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Use Sector
Regiirement ,
Fig. 2 Regional Matrix of Water Use-Poudre River in
Larimer County
9
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Requirement
Fig. 3 Tableau Matrix of Water Quality Differentials
10
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.
Use Sector
Requirement .
Fig. 4 Tableau for Unit Costs
11
Figure 2 shows the 1970 distribution quantities among the various
diversions and returns for the total integrated system (that is the
total integrated partial system) . The matrix representation of the
system shows all possible system combinations, assuming we are inclu-
sive in our row and column entries.
Figure 3 shows how the quality dimension is evaluated. Each
numerical entry is the quality change that would have to be effected
by treatment; the less than 0 entry means the supply quality exceeds
that required. These figures are the difference between the effluent
(the extreme right column) and the influent quality demand (the bottom
row) . We could also approach the quality dimension from the standpoint
of a mass balance of the particular quality factor; this could be used
to determine the necessary amount of solids removal and an optimum
treatment-dilution system to keep the flow system at desired quality
levels.
Figure 4 is a tableau of fixed unit costs for each feasible
transfer in the system. Each entry will be the cost of physical
transport of water, Figure 2, plus the cost of treatment necessary as
indicated by Figure 3. Figure 4 should be interpreted as conceptual
for planning beyond exploratory stages. For detailed and definite
planning, the entries in the elements of Figure 4 are cost functions
reflecting scale (i.e., size of pipeline, pumps, etc. , and size of
treatment plant if necessary) , and degree of treatment (i.e. , what
constituents are to be removed and to what extent) . The variable
cost functions and other factors are discussed in step d.
e-,
12
c. Data Procurement provided by Larimer County, Weld County, City
Fort Collins, Greeley, and Loveland.
Several categories of data will be needed; these include:
(1) hydrologic (i.e. , streamflows, ground water availability, consump-
tive use, rainfall, natural water quality--all of which must be
characterized regarding time and space distribution, stochastic nature,
etc.) ; (2) diversions both current and projection of time demand,
(3) quality changes caused by each use, (4) quality changes which can
be effected by treatment, (5) costs functions for scale of transport
and scale and type of treatment, and (6) population forecasts, fore-
cast of industrial character of region, etc.
Much of these data will be collated from reports related to
various and sundry development activities and studies in the region.
These data will be supplemented by utilizing records from water using
entities and from surveillance organizations. We anticipate the cost
functions will be most difficult to obtain. Some original searches
and construction of cost functions will probably be necessary; this
is because cost functions are in the first place scarce, and in the
second place, then may be somewhat deficient for intact application
to immediate real problems at hand. Such original side studies will
be minimized, but where necessary then will be kept pragmatic in
nature. Again, we will demonstrate how to accomplish such necessary
tasks rather than dwell on the end result. The population forecasts,
and projections regarding the nature and character of the region will
be synthesized through contacts with local sources. Goals in water
quality will be determined by existing and projected water quality
standards. Existing federal and state laws will be the primary guides
for projected limits and character (i.e. , stream standard, effluent
13
standard) of the laws; this tangible information will be supplemented
by local goals where they are formulated. Drinking water standards
are readily available for the domestic supply side. Standards used
for irrigation and the array of industrial uses will be guided by
literature sources, supplemented by ascertaining local industry
requirements.
--Growth Projections--
Several design target dates must be designated in order to properly
determine the phasing of individual facilities. This information will
be supplied through County Planning Office and County Health Department.
Demands for water and effluent quantities must be projected into each
water using sector. Such projections are inherently "uncertain" (we
use the term "uncertainty" in its mathematical sense as well as its
conventional connotation) . Our project should accommodate the uncer-
tainty factor in the system design; the systems analysis algorithm
does, in fact, include the uncertainty factor.
Also, our plan should contain flexibility in its schedule for
implementation, such that better options not presently foreseeable
are not closed. Such changes might be caused by errors in growth
projections, economic character of the region, and social goals of the
region.
--Constraints--
The term "contraints" is used in its mathematical sense, to
indicate the limitations within which a solution must take place.
These include both man imposed requirements, and the nature of the
water supply as it is found in nature and after modifications by man
(i.e. , Horsetooth Reservoir) . The existing waste collection system
14
and treatment system are included also. Virtually all of these can
be characterized mathematically. Other categories include: (1) legal,
such as water rights, water quality standards; (2) social, such as
aesthetic goals for the adjacent land use and for the uses of the
stream system (these may be destined to become legal constraints,
upon action through the political process) ; (3) physical, such as the
natural inflow quantity and quality characterized mathematically.
d. Solution Algorithms for Least Cost
Linear programming - Figure 4 is the basis for optimization
by the "transportation algorithm", from linear programming. If we
designate i as the particular row in the matrix, or category availa-
bility; and j as the column designation, or use category; and Xij
as the amount transferred from the particular i origin to the jth
destination; ai as the total category availability; b. as the use
demand; m as the number of origins (rows) ; n as the number of
uses (columns) ; cij as the unit cost of treatment plus transport
to move water from i to j ; and TC as total cost, then we deter-
mine the amounts, Xij , to be shipped over all routes so as to
minimize total costs by the transportation problem, stated mathemati-
cally:
m n
Min TC = I I c. . X. . (1)
i=1 j=1
Subject to the constraints:
X . = a. i = 1,2, . . .m (2)
j=1
IX. = b. j = 1,2, . . .n (3)
j=1
15
We also impose the restriction that Eai < Eb. . We have here m+n
equations in m•n variables . The solution is readily found through
application of linear programming techniques which have been developed
in package form. Bishop and Hendricks (1971) and Bishop, Hendricks,
and Milligan (1970) , have shown how to apply this technique to meet
expanding quantity demands for water with a fixed water supply, while
meeting water quality objectives for the Salt Lake City agro-urban
system up to the year 2020. Their results show when to phase in
tertiary treatment and desalting, give the size of plants needed, then
show all feasible trade offs for sequential water reuse which are
cheaper than tertiary treatment and desalting.
Their approach is adequate for an initial gross scale planning.
However, this is not adequate for the specific level planning which
must be done at a finer degree of resolution. To accomplish this we
must impose the conditions of reality to a greater degree. The most
obvious and important of these new conditions relates to the scale
effect; that is unit costs, c. , are not constant, but are some
function of the scale of the facility. The transportation algorithm
is not adequate for handling problems involving unit costs which are
a function of scale.
The transportation problem does serve a purpose, however, in
defining a useful conceptual framework for displaying the elements of
the problem in total perspective. It is also useful in obtaining
gross solutions for initial planning.
Thus, while we will preserve the concept of the "transportation
problem", we must find other algorithms for solution which fit the
16
conditions of reality. Considering the scale effect (i.e. , size of
pipeline or plant) on unit cost offers one of the greatest potentials
for finding economy.
Non-linear methods - To define an algorithm which considers the
scale effect we use the linear programming algorithm (transportation
problem) as the point of departure. As mentioned, unit cost, c. . ,
varies with the transferred amount, decreasing as the transferred
amount increases. Now one can speculate (it is only a speculation)
that the unit cost decreases linearly with volume X. . The mathema-
tical statement is:
cij = Bij - cij Xij . (4)
The constraints of the problem are unchanged and the only difference
with the transportation problem formulation (Eqs. 1, 2, 3) is that
the objective function has the form:
m n
TC = E (Bij Xij - cij Xij2) (5)
i=1 j=1
It is no longer a linear expression but a quadratic one. The problem
of minimization of a quadratic objective function such as the one
given by Eq. (5) subject to the linear constraints given by Eqs. (2)
and (3) is a standard Quadratic Programming problem for which various
solution algorithms exist. Again, the problem can be solved easily
but the computer costs go up. But, such costs are still relatively
small in this case. The optimal policy will show gradual rather than
abrupt phasing in and out of sources of supply for a given use. (The
linear programming will result in abrupt shifts in such phasing; this
can be overcome by parametric programming as outlined by Bishop,
Hendricks, and Milligan, 1970) .
PART I, SECTION E, PROJECT SCHEDULE
•
1. DATA ON CONTRACTS
. i
A. NAVE ANY CONTRACTS BEEN AWARDED? n YES n NO
B. IF YES, LIST THOSE AWARDED(Gave pUrpoCG of contract, name of contractor, and date awarded)
1 •
•
2. APPLICANT IS PREPARED TO MAINTAIN THE FOLLOWING SCHEDULE
(Not applicable to Clue I Grant.)
NUMBER OF
•I ITEM CALENDAR
DAYS
• 6 A. DAYS REQUIRED TO COMPLETE PRELIMINARY STUDIES, AFTER GRANT
OFFER IS ACCEPTED:
I - 0. DAYS REQUIRED TO COMPLETE ENGINEERING REPORT FOR PROPOSED
PROJECT, AFTER GRANT OFFER IS ACCEPTED: 1095
C. DAYS REQUIRED FOR PLANS AND SPECIFICATIONS TO BE READY FOR
ADVERTISING FOR BID, AFTER GRANT OFFER IS ACCEPTED:
D. DAYS REQUIRED TO LET CONTRACT FOR CONSTRUCTION,
AFTER GRANT OFFER IS ACCEPTED:
•
E. ESTIMATED TIME TO COMPLETE CONSTRUCTION AND INITIATE POST-CONSTRUCTION STUDIES:
F. ESTIMATED TIME REQUIRED FOR POST-CONSTRUCTION STUDIES:
G. ESTIMATED TIME REQUIRED AFTER POST-CONSTRUCTION STUDIES FOR
PREPARATION OF A FINAL TECHNICAL REPORT TO EVALUATE FINDINGS:
PART II, DETAILED PROJECT DESCRIPTION
(Part Il o/the application shall provide a detailed description o/the project plan, supporting information, and miscellaneous informa-
tion. The description shall be prepared in accordance with the Instructions for completing Part II to assist in the review o/ this
application. Begin here and use continuation pages as necessary.)
Section A, PROJECT PLAN
•
•
•
FWPCA 211 (Rev 3.69)(Page 9)
*U. S. GOVERNMENT PRINTING OFFICE:1969 0-669-ill
•
•
Colorado State University
PART I, SECTION D-2, FINANCIAL DETAIL • RESEARCH/DEVELOPMENT/DEMONSTRATION STUDIES (Cont.)
.
f -- TRAVELER DESTINATION AND PURPOSE NO OF COST PER COSTTRIPS TRIP
D. W. He dricks Professional meetings related to 2 300 $ 600
H. J. Mo el-Seytoux project 2 300 600
$ : D. W. H ndricks Local trips within the project 50 15 750
H. J. Morel-Seytoux area for information, data co
LL collection, consultation with
Graduate Research with local authorities
Assistants
T9;vsa
ITEM PURPOSE •
e Quarterly Progress Report: To report project progress and collate $
Annual Reports, Publica- significant findings. 1,000
g
9
tions
Y
i
u
TOTAL G
$J 0nP
ITEM PURPOSE
. .. . ..........
CDC 6400 for developing regional models
c CP @ 315/hr 5,000
= PP @ 65/hr •
3,000
TOTAL N
$8.000
LIST ANTICIPATED CONTRACTS BY PURPOSE. PROBABLE CONTRACTOR IF KNOWN, AND ESTIMATED COST $
I
O
Y
S
V
TOTALI
$
LIST RATE, BASE OF COMPUTATION. AND NEGOTIATING AGENCY
$
•
•
0
U
a
4
TOTALJ
$
PART I, SECTION D-2, FINANCIAL DETAIL - FACILITIES
$
e
0.
S
C
e
� Y
S
y
2
Y
e
O
I TOTAL K
$
FWPCA 211 (Rev 3.69)(Pogo 6)
PART I, SECTION 0-2, FINANCIAL DETAIL - RESEARCH/DEVELOPMENT/DEMONSTRATION STUDIES
• P TIME ON
v - NAME POSITION RO OFESSIO ESMON ANNUAL PROJ CT COST
ONSMLL
(9.or Irej
David W. Hendricks Assoc. Prof. of Civil Sanitary Eng. 25,740 1/2 $12,870
a Engr. System Analysis
Hubert J./ Morel-Seytoux Assoc. Prof. of Civil
g Engr. Hydrology 24,192 1/2 12,096
i 1 Economist Operations 24,000 16.7% 4,000 .
$ Research
A 6 Grad. Research Assistants 7,860 62% 29,250
• s Admin. Assist-Secretary 6,204 100% 6,204
Professional Programmer 9,600 100% 9,600
Keypunch Operator 4,860 50% 2,430
3 Undergraduate Students _ 12 cm 33% 4.150
.... ........ ............ ...... .
• NAME TVP[S OF [[NE FITS(SoeL/$scarify, Oroup Li/s lnsuraneq Rsfiromsn f, etc.)
David W. Hendricks PERA 81% $ 1,094
• Hubert J. Morel-Seytoux PER 81/2% 1,028
n Economist PERA 8'% 340
!Adm. Asst. PERA 8'% 527
• °Programmer PERA 8h% 816
.Keypunch Op. • PERA 8'% 207
m
• TOTAL S
44.012
1e CONSULTANT(if known) SERVICES To S[ PERFORMED
a
S
S
V TOTAL C
Ii $
ITEM NOW O[T A I N[D(purchase, rental, furnished by applicant)
6
IBM Card Files (2) Purchase
700
Electronic Calculator Purchase 3,000
a
le Time/Data 100 Purchase (jointly with several other
projects) 500
a
TOTAL O
$ 4,200
ITEM NOW OBTAINED(A0 in D. above) OT ITYAN• UNIT
COST
Office Supplies 2,000
Computer Cards and Tapes
Microfilms
s Microfilm prints
Xeroxing, etc.
W
tOT•L E
$ 2,000
PWPCA 211 (Rev 3-69) (Page S)
1
1
REGIONAL WATER QUALITY-QUANTITY SYSTEMS ANALYSIS
1. Project Objectives
The broad goal of this work is to develop and demonstrate a
pragmatic methodology for total planning of an integrated water supply-
liquid waste handling system on a regional scale (county wide and
larger) . The specific objective of this project is to develop a plan to
meet present and future water quantity-quality requirements for the
various categories of water use (domestic, industrial, agricultural and
in-stream) . The achievement of this objective will require, of necessity:
a) defining the size, location, and time phasing
of added facilities for physical transfers of
water (in main water supply header and trunk
waste lines)
b) defining size, location and time phasing of
necessary added facilities for effecting quality
improvements in the water (i.e. water treatment,
waste water treatment, tertiary treatment, de-
salting) .
Additional peripheral objectives are to examine the effect on
the minimum system cost of: (a) modifying a goal (such as for in-
stream water quality) , (b) foregoing certain uses (i.e. allowing the
purchase of water rights) , (c) developing new supplies (e.g. ground
water) , (d) consolidating organizations (i.e. compare the minimum cost
of the system designed for a conventional fragmented institutional array
with that of a basin water utility firm) or (e) modifying the physical
boundaries selected.
• 2
We should emphasize that a major goal implicit in our objectives
is to develop pragmatic guidelines for total water quantity-quality
planning in a systems context. The demonstration of the applicability
of system analysis concepts and the implementation of a policy deduced
from optimization procedures for a real water using political entity
are perhaps the most important goals of this proposal. As a peripheral
goal, we will attempt to assess the value or benefits of the systems
analysis approach to total integrated water planning.
2. Need for Proposed Work
Over the past decade the concepts of system analysis have pene-
trated the water resources field (we include water quality aspects in
our use of this term) . In fact, within recent years the literature is
quite replete with papers on various aspects of the subject (See Appen-
dix A) . Yet an eminent practitioner, Leo R. Beard, Chief, The Hydro-
logic Engineering Center, U. S. Army Corps of Engineers, points out
that as of late 1970 he knows of no specific application of systems
analysis in actual design. (1),
Implementation of systems analysis principles into project design
is a formidable task. The charter of the planning organization may be
too limited in scope; expediency in accomplishing the most pressing and
quickest solutions may be necessary; institutional constraints, are more
often than not a major impediment; data requirements may be ill defined.
Also, the subject is new and there are few individuals who have more than
a partial grasp of the subject. Those who are well versed have literally
pulled themselves up by their bootstraps, so to speak. A good comprehen-
sion of economics, capabilities in operations research, a more sophisti-
cated computer orientation, some grasp of the political and social
3
institutional dimensions, a thorough knowledge of a problems physical
dimensions, and then a comprehension of real world limitations related
to data procurement, budget constraints---all of these qualities, in a
genuine sense, are hard to find in all but a few individuals.
Practitioners who are congnizant of the benefits of the systems
approach are increasing; they complain, however, of the massive and
unrealistic data requirements, nebulous or abstruse functional relation-
ships, and the myriad of other details that make the difference between
theory and practice.
Our proposed project meshes with this evolutionary development of
systems analysis in two ways. First, in a general way, our project is
designed to bridge the gap between theory, numerous particular exercises
in operations research, discussions-and absorbtion of systems analysis
principles into engineering practice. Though subtle, and not necessarily
formalized in discussion elsewhere, this is perhaps a most important
benefit. Second, our application of systems analysis principles will
articulate methodology for implementing in an enlightened and comprehen-
sive manner, a number of poignant present day concepts in waste management;
these concepts include: water reuse, regionalized treatment plants,
comprehensive basin planning in both quality and quantity dimensions, and
total water planning in terms of both the supply side and the waste side.
The merits of these concepts have been recognized for several years
by the Federal Water Quality Administration. This cognizance began
formally with the Water Quality Act of 1965, which provides financial
incentives for regional planning of waste treatment plants. The planning
provision of the act has been essentially dormant since enactment,
however. More recently, this provision has been reinforced with the
• 4
administrative stipulations that: (1) water quality standards will be
enforced, and (2) allocation of federal grants for municipal treatment
plants will require the existence of a comprehensive river basin or
regional plan.
The implementation of systems analysis techniques and approaches
is now a necessity. This is difficult, however, because these concepts
have not yet been translated into engineering practice. The current
conventional planning approaches will surely fall far short of a total
planning perspective intended unless systems analysis techniques, as
well as attitudes, have penetrated such planning.
3. Plan of Operation
We enumerate the individual steps for execution of project
objectives as follows:
a. Selection of a suitable regional system for the demonstration.
This must be a system large enough and diverse enough in its water
using characteristics, and which possesses significant present and/or
potential quality-quantity problems, such that the demonstration holds
promise of a significant application of systems analysis, and is amenable
to gleaning specific articulation of systems analysis methods applied to
a real system. It is important also, for our purposes, that the system
chosen be tractable in terms of its size, its complexity, and its data
availability in relation to project objectives, budget, and personnel.
The selected area falls under the jurisdiction of the Larimer
Weld Regional Planning Commission. It includes the Poudre and Big
Thompson basins and the fraction of the South Platte basin within the
two counties (Figure 1 is a location map) .
. s'
•f ' -
/1 Collin$ wta7�?2. d�f!''r Dine.?
ree
ribs RA.' 3'. Th a. / // l 1 1
!snit's:. r� '
\:-- . `.
�klder /�, ``. •z
I. -
V nJer
Figure 1 Major towns in project area
• Project location map
6
The demonstration area shown in Figure 1 contains a diversity of
use categories and a large multiplicity of use entities each administered
and operated by separate water districts and sewer districts. This area
contains of the order of 720,000 acres of irrigated land (2) , using of
the order of 1.5 million feet annually; about 40 industries (3) , using
probably of the order of 10,000 acre feet annually; and some 30 domestic
entities (3) using in aggregate about 35,000 acre feet (3) . Currently
there are 12,000 water metered customers in the Ft. Collins urban area
(pop. 47,300 in 1970-without students) ; 38,000 are projected for year
2000 (population 146,000 projected (4) .
The projected Ft. Collins municipal demand for year 2020 is 70,000
acre feet. Within the Larimer Weld region, there are some 30 municipal
water districts (3) , 9* sewer districts, and 32** irrigation ditch com-
panies which have responsibility for water. Also, there are 11 existing
or planned waste treatment plants 1/ and 10 water treatment plants (3) .
Also within the Poudre River, the disparity between existing and desired
water quality goals is currently very great (7,8) . Currently, Larimer
County is sponsoring the development of a regional plan for both water
supply and sewage collection and treatment. This effort will provide
* Larimer County only (5)
**Poudre River Basin (6)
1/The DTT Chamber report (4) (p.8)projects a 150% increase in sani-
tary sewer facilities will be required by 2000, from 10.5 mgd in
1970 to 25 mgd in 2000.
• Yh
k.
it ,
�F
i
ryh+
- ' .� iY
(
r I- I e/ �'
a
50,000 ,- . I - • ' /4/
y -',\-k,
ky
I I
40,000 I I o I I-' 'e>Iw ;PI
I I I • ,
ul
I I 1
v 30,000 I. �t_.I ,
r I J' � '
1- Ir '
CU
I
-) / 1
20,000 , `� (
r
I �
10,000 - -1
t- , I I I I
I I I I I 1 I
1950 1960 1970 1980 1990 2000 2010 2020
---- ear-- -
Figure 2 - Projected municipal demand and water supply for
Ft. Collins with comparison for 5 city total .
N
eater treatment plant
®O
y Sewage treatment pl nt
p ! ,a. % --- Projected urban boundaries
(1 � - , A year 2000
J t 1
„ j Feedlots: aver 100 (not shown)
1^ ; il US IS
‘..:::\
'
r I I SC tie
^�irr0. �' E sent ---- 46
1 I
t l
tl \.
i,t i ; r' m
.., Ft. C.It/a., y
•
i4, I
2 .41 r Lan\
'-' r I '‘ a
_
I WI I
�>I 1 , [O
I
\%1/2a) !9jo L.l I I Ir 14Lo,
1 1
1
1-40
- t' ' —�
ovelavld 1. go ( ' ,re r ,__'
1 it 1
1 t e ® % 1•
1
I `t * - i
tautestVs
— t._ �
R
Mg matte
I`' �`I
I ,_ IPkMa.ak
1I
1 Figure Regional Metro Planning Area
Ft. Collins - Greeley - Loveland
1
I I
j t i ,{
I 1
I P• l.!AiMARv MA`1f Al RAM
p^ 1 , �\ t` A 111!!! I „wte Cafe cw.un[nnn
�. •..,a •urwa minus/0
�F , ,,
u aom
ofi
, t :1yF PHASE i
ff
4:4 : I 'a; 4, „ „ t.— ______ ___""*. il
It t b � � I
Fes. 1 t > , r,
e)1. -ti,.,.- h''1 ,
ri_t at Six' ‘ f f.
- 3 I. ft T. 1fn.
1 /
A .4.
7.,..\.. ' Ol .f tics ,L. ! " ^,. �..
In n* atr} -.....'- p
alkelty]�y r
t, i -'..° t.7 "...e44Z. ;Ivo 4 i'lt:.—frer, 1-.
I.
\ y et
A,� i T ter - ,
1� :Fns.. C-{ .. , " - ,
.. per. . ' . .. M^
, i ., 4- '
IlfLf a I
I • s.i %. d j '.al
.''^ V e—L i1/4 ;-i I ti } E — 7--,1
+y,+. tr J r. .
s--"J -1. '` Figure 4 Sewerage plans for Ft. Collins
and Loveland showing projected
population (from Moline and
Trnl onr7 ctn.-1..\
APPENDICES
Appendix A Letter from Colorado Water Pollution Control Commission designating the
responsible planning agency for development of the Comprehensive Basin-
wide Pollution Control Plan.
Appendix B Authority of the planning agency
1. Charter of the Larimer-Weld Regional Planning Commission and
authorization for charter
2. Authorization and endorsements from political entities:
(a) Larimer County
(b) Weld County
(c) City of Ft. Collins
(d) City of Loveland
(e) City of Greeley
Appendix C Statement by the Colorado Water Pollution Control Commission.
•
PROPOSED DU OGLT
•
The budi,ct Iabluatien should shoot the planninc funds needed by source o((unds (ncn•Fedcrnl and Federal) •
and by classes of expenditure for ench year of the reprlicnllon. Since approximations are frequently necessary
for years beyond the first.budl;et estimates for subsequent years any be amended if necessary.
FINANCIAL INFORMATION IN SUPPORT OF PROGRAM APPLICATION
s (Furnls/r Information by ye trs If application is lot a period nmre tf ont year)
OT AL FUNDS(Federal and norr-Ved.-rnl) II. TOTAL PROGRAM COST(Sum of ail 'a. PROGRAM PERIOD
%PENDEO PREVIOUS FISCAL YEAR )'ears !Wed)
Y AGENCY FOR BASIN PLANNING FROM(Dote) TO(Dote)
•
c S •
r ILCAL YEAR FISCAL YEAH FISCAL YEAR
•
COST ITEM
FEDERAL % OF TOTAL FF.DEnAt OF TOTAL FEDERAL C OF
NON•FCDERAL PROJECT O NON-FEDERAL PROJCCT 0 NON-ICDE,AL PROJECT
FUNDS COST FUNDS COST FUNDS COST
PERSONNEL (Attach a list e1 fob calceorle• and
man•hours on program) •
CONSULTANT SERVICES •
r
FUND TRANSFERS TO OTHER SUPPORTING
AGENCIES. LOCAL GOVERNMENT AGENCIES.
AND OTHERS(5piNfy)
•
•
•
•
•
•
•
SUPPLIES AND MATERIALS(List mafor Items)
•
••
.
. TRAVEL - -
PREPARATION OF PLAN AND REPORTS
• OTHER(Include printtnt costs end list separately any snake Items Items exec..din.: 57.of total program cost)
I 't
. TOTAL FEDERAL AND NONFEDERAL FUNDS 100% 100`%•
. FEDERAL FUNDS
..NOW FE DE;L FUNDS(Item 10 minus Item 21) •
:PC/..147 (3.61) (Pope 4) .
•
•
•
•
U.S. DEPARTMENT OF THE INTERIOR FWPCA USE ONLY
FEDERAL WATER POLLUTION CONTROL ADMINISTRATION PROGRAM NO.
WASHINGTON, O. C. 20242
- PART nACCOUNT NO.
APPLICATION FOR
RESEARCH, DEVELOPMENT, AND DEMONSTRATION GRANT DATE RECEIVED:
PART I, SECTION A, REQUEST AND CERTIFICATION
I. TYPee[LLOAAIra[SSGRANT CLASS 11- CLASS III-STORM a CLASS IV- ADVANCED CLASS V-
El RatakCN DEMONSTRATION COMBINED SEWER ❑ WASTE TREATMENT El INDUSTRIAL WASTE
a. TITLaOFPROIECT Regional Water Quality-Quantity-Systems Analysis
a ING ORGANIZATION AND MAILING AOORCS$(ZIP Code)
S. TYPE OF APPLICATION('X' 6pp:OPd are box)
Larimer-Weld Regional Planning Commission
P.O. Box 2137 X NEW
Fort Collins, Colorado 80521 REVISION (TO): FWPCA GRANT No:
6
4. PROJECT LOCATION AND mamma ADDRESS(ZIP Code)
CONTINUATION(OF):
• Larimer County Courthouse, P.O. Box 2137
Fort Collins, Colorado 80521, and a. PROJECT FINANCING
Engineering Research Center, Colorado P. FOR TOTAL PROJECT:
State University TOTAL PROJECT IFROMI (THROUGH,
Fort Coll inc, Colorado RDS71 PERIOD: Q/1 /71 8/31/74
• a. GRANT DIR[CrOR: MAILING ADDRESS(ZIP Code) AND TOTAL PROJECT COST: S
TEL CROONS NO.
William C. Manuel, Larimer County b. FOR THIS REQUEST.
Commissioner
P.O. Box 2137 GRANT PERIOD: FROMI THROUGH)
•
Fort Collins, Colorado 80521 9/1/77 8/11/72
APPLICANT'S SHARE: S
303 - 484-1303 GRANT REQUESTED: S
TOTAL: S
G. PROJECT DIRECTOR: MAILING ADDRESS(ZIP Code) AND
TELEPHONE NO. FWPCA USE ONLY
David W. Hendricks
APPROVED PROJECT PERIOD
Hubert J. Morel-Seytoux
a C "ROM THROUGH
p8f n e8flitAc,e T4.oforarch doen he1g21CSU
T. FINANCIAL OFFICHrrre Roa'adss OORN Funds), MAILING
ADDRESS(ZIP Cuda) AND TELEPHONE NO. APPROVED ESTIMATED PROJECT COST
William C. Manual APPLICANT'S SHARE i $
P.O. Box 2137
•
Fort Collins, Colorado 80521 GRANT REQUESTED s
303 - 484-1303 TOTAL s
10. TERMS ANO CONDITIONS
The attached statements and exhibits are hereby made part of this application and the undersigned representative
of the Applicant certifies that the information in the application and in the attached statements and exhibits is
true, correct,and complete to the best of his knowledge and belief. He further certifies that: He has been author-
ized to file this application by formal action of the governing body of the Applicant as is evidenced by the ATTACHED
CERTIFIED COPY OF AUTHORIZATION MADE BY THE APPLICANT'S GOVERNING BODY; the governing body of
the Applicant agrees that if a Federal grant for the Project is made on the basis of this application or on the basis
of any provision or amendment thereof, it will comply with all of the applicable requirements and conditions of the
regulations governing goats for water pollution control authorized by the Water Pollution Control Act, as amended
(g3 U.S.C. 466 et. seq.) and with such additional conditions as the Commissioner may impose prior to cc at the time
of the grant award.
j -
SIGNATURE OF PERSON AUTHORIZED TO SIGN DATE
TITLE:
FWPCA 211 (Rev 3-69)(POGO 1) FORM APPROVED
BUDGET BUREAU NO. A2-R1562
I
q
.ate _
�I PART I, SECTION B, SUMMARY DESCRIPTION OF PROJECT
GIVE A BRIEF DESCRIPTION OF THE PROJECT,SUMMARIZING THE PROJECT OBJECTIVES AND PLAN OF OPERATION DESCRIBED
s IN THE DETAILED PROJECT PLAN (PART II, SECTION A). (Lanett the summery to the space provided)
The project objective is to develop and demonstrate a pragmatic methodology for total planning of
'an integrated water supply-liquid waste handling system on a regional scale (county wide and larger) .
This will require defining the location of each treatment plant in a regional array, and the size,
and time phasing of each plant. Existing and additional primary and secondary plants are considered
along with tertiary plants, desalting, and dilution in assessing incremental improvements in water
qualitly versus incremental costs. Both treatment costs and the costs of water transport are con-
sidere4 as a function of scale. The objective is to meet the projected diversion demand require-
ments ' d the quality requirements for in-stream water quality and for each utilitarian use within
the sytem.
The essential core of the methodology is a planning matrix. This matrix consists of all cate-
gories of inputs seen at rows, such as base stream flow, ground water, a stream reach, a diversion,
a trea went plant effluent, agricultural return flow, etc. The destinations of these inputs con-
sists f a water treatment plant, an irrigation diversion, a waste treatment plant, or another
streamjreach. Thus the matrix can display any relationship desired between input vectors (e.g. a
row inthe matrix) and each destination category. Examples of entries in the matrix include:
1) the effect caused (i.e. quality degradation caused by use)
2) the effect needed (i.e. quality improvement needed for a given use)
3) the quantities needed for each use
4) th benefits caused by 1)
S) the costs for 2) and 3)
Optimijzation can be in terms of maximizing net benefits or minimizing costs within the constraints
of thsystem. We will use the least cost objective function - since many benefits cannot be
assign:t d dollar value. Where necessary to assess intangible benefits we will use the opportunity
cost proach.
The lanning methodology to be developed by this project is to be oriented toward providing an
integx ted regional approach to basin planning. It should provide the capability for assessing
the a ect of any one activity within a basin, on all other activities.
The results of the demonstration will provide a feasible tangible system plan for the demonstra-
tion project area (South Platte, Poudre and Big Thompson river basins within the Larimer and Weld
Counties) . In fact the results of the study will satisfy the requirements for a certified basin
and regional/metropolitan (Fort Collins, Loveland, Greeley triangle) plan as specified in the EPA
Guidelines for Water Quality Management Planning dated January 1971. Clearly the study will be of
immedi to value to the Larimer-Weld region for development of a certified plan by July 1, 1973.
Howeve , the value of the study to the Larimer-Weld region in incidental (though significant) in
the se se that a major goal of the project is to develop the demonstration in such a way that the
api L lfh and the planning algorithm will be transferable to system planning in other regions. In
fact a option of the methodology and algorithms developed in the study and demonstrated on the
Larime -Weld region should facilitate the task of the planning agencies to develop plans in full
accordfnce with the EPA guidelines.
i
PART I, SECTION C, APPROVAL BY STATE WATER POLLUTION CONTROL AGENCY (If applicable)
TITLE OF PROJECT Regional Water Quality-Quantity Systems Analysis
I GRANT APPLICANT
Larimer Weld Regional Planning Commission
The project described above, if carried out in accordance with the proposed plan of operation, is hereby approved.
NAME OF OFFICIAL STATE WATER POLLUTION CONTROL AGENCY
ISIGNATURE OF RESPONSIBLE OFFICER TITLE OF OFFICER DATE
• FWPCA 211 (Rev 3-69) (Page 2) •
Larimer , e1d Rega..nal Planning Commission - Color,—) State University
PART 1, SECTION D-1_, FINANCIAL SUMMARY
1. ESTIMATED PROJECT COSTS DURING GRANT PERIOD
w.
PROPOSED •Y APPLICANT RwPCA USE ONLY
ITEM TOTAL POP
QMNT Pgructo GRANT REQUESTED EL.SIELC CoITS FWPCA OFFER
A. SALARIES AND WAGES 113,850 80,600
s
B. FRINGE BENEFITS 4,012 4,012
N
C. CONSULTANT SERVICES
D. EQUIPMENT 4,200 4,200
Y
H E. SUPPLIES 2,000 2,000
1 z
F. TRAVEL 1,950 1 ,950
• Z G. PUBLICATION COSTS 1,000 1,000
W
o M. OTHER Computer 8,000 8,000
•
IA I. CONTRACTS
O
11ILI TOTAL DIRECT COSTS(A thru I)
W '"T' tot
J. INDIRECT COSTS 11,0% LWRPC )
59% CCU 59,896 49,921
TOTAL 1/10/0 STUDIES(A thru J) 194,908 151,683
K. CONSTRUCTION-ENGINEERING PLANS
L. CONSTRUCTION - SUPERVISION
M. CONSTRUCTION - CONTRACTS
N. CONSTRUCTION -MATERIALS
TOTAL COMsTRUCTION(K thru N)
O. OPERATION - SALARIES & WAGES
J P. OPERATION - FRINGE BENEFITS
I t
Q. OPERATION - SUPPLIES
R. OPERATION - UTILITIES
J •
S. OPERATION - REPAIRS
r
TOTAL OPERATION(O Km S)
TOTAL FACILITIES(K fiwu S)
TOTAL PROJECT COSTS(A thru S) 194,908 151,683
FWPCA 211 (R, . 3-69) (Page 3)
•
•
•
--- - PART I, SECTION D-1, FINANCIAL SUMMARY (Continued)
-" - . 2. PROPOSED FUNDING
PROPOSED BY APPLICANT FWPCA USE ONLY
ITEM• PERCENT FUNQS
PERCENT P4ND3
•
A. APPLICANT'S SHARE __. . _ 25__-. -.__ .1.43,225 S
i
B. GRANT REQUESTED 75 151,683
C. TOTAL 100 s194$908 100 $
3. SUPPORT TO BE USED FOR THE PROJECT
ITEM DATE AVAILABLE AMOUNT
A. CASH S
B. GENERAL OBLIGATION BONDS
C. REVENUE BONDS OR CERTIFICATES
•
D. OTHER {Specify) In kind services Set. 1 1971 43,225
�S:•.>:^. ,,'••y;4:?ia,.`j+ ir� :it
E. ANTICIPATED FWPCA GRANT ''%�i+'>'?`�zK::'''t':4ig%:a:::i:%`.%",.•"'•;•':n
a: :;:: :;:. • • :;....l:..a¢; ,.:y:: >';;. 151 683
F. TOTAL :a. <::>as::z>.as r }a::s `EE-:`sE y:r S
� . .: 194 908
REMARKS
•
FWPCA 211 (R.v 3-69) (Page 4)
Larimer-We
ld Regional Planning Commission
PART I, SECTION D-2, FINANCIAL DETAIL - RESEARCH/DEVELOPMENT/DEMONSTRATION STUDIES
PROFESSION ANNUAL TIME ON
NAME POSITION OR (KILL 7.orra SALARY PRODgCT COST
( h )
William C Manuel Larimer County Administration 10,000 20% $
Commissioner )rogramming
f $ Douglas Wigle Director, Larimer County Sanitarian 20,000 35% 7,000
Health Department
• Dwight Whitney Larimer County Planner Planning 13,800 25% 3,460
_ 2 Technicians Field
Sampling 8,244 80% 13,190
• i 2 Technicians Laboratory
Analysis 6,000 80% 9,600
TOTAL A
$ 33,250
NAME TYPES OF BENEFITS(5001.1 S•curitY, Or01ip Life Insurance, Retirement, etc.)
$
I
•
I "
a
e •
m
TOTAL B
f
• CONSULTANT(If known) SERVICES TO BE PERFORMED _ ..
ut
C
B
j u TOTAL C
f V f
ITEM NOW OBTAINED(pureh.ea, rental, furnished by applicant)
f .
F
t
3
d
TOTAL D
ITEM NOW OBTAINED(as in D. above) TITY I hT•
$
.1�
• -
A
W
'YOTAL E
PWPCA 211 (Rev 3-69)(Page 5)
_ ..e
Larimer County Regional Planning Commission
PART I, SECTION D-2, FINANCIAL DETAIL - RESEARCH/DEVELOPMENT/DEMONSTRATION STUDIES (Cont.)
TRAVELER DESTINATION AND PURPOSE NO. P O COS TRIP
COST
TRIPS
s
e
•
TOTAL F
S
ITEM PURPOSE
R
•
$
3
a
2
• 3
L
V TOTAL G
S
ITEM - PURPOSE
f
O
S
TOTAL M
S
LIST ANTICIPATED CONTRACTS BY PURPOSE, PROBABLE CONTRACTOR IF KNOWN. AND ESTIMATED COST•
S
•
S
•
TOTALI
I S
LIST RATE, BASE OF COMPUTATION. AND NEGOTIATING AGENCY
S
C
U
e
C
{
TOTAL J
f
PART I, SECTION D-2, FINANCIAL DETAIL • FACILITIES
S
'e
s
S.
1 i
C
W
C
Y
2
C
a
TOTAL K
S
FWPCA 21I (Rev 3.69)(Page 6)
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