Record Display for the EPA National Library Catalog

RECORD NUMBER: 23 OF 24

OLS Field Name OLS Field Data
Main Title Use of new analytical methods in water resource development /
CORP Author University of Texas at Austin. Department of Mechanical Engineering,
Publisher U.S. Department of the Interior, Federal Water Quality Administration,
Year Published 1970
Report Number EPA 16110/FZE-09/70; FWQA-16110-FZE; 01658,
Stock Number PB-195 829
OCLC Number 00372827
Subjects Water resources development. ; Mathematical optimization. ; Reservoirs--Mathematical models.
Additional Subjects ( Water resources ; River basin development) ; Economic analysis ; Reservoirs ; Dynamic programming ; Algorithms ; Optimization ; Decision theory ; Benefit cost analysis ; Computer programming
Internet Access
Description Access URL
http://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=9101SBXE.PDF
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
EJBD ARCHIVE EPA 16110-FZE-09-70 Headquarters Library/Washington,DC 03/10/2014
EJBD  EPA 16110-FZE-09-70 c.1 Headquarters Library/Washington,DC 05/12/2014
EKAD  16110 FZE 09/70 Region 4 Library/Atlanta,GA 08/23/2002
EKAD  TC409.T48 Region 4 Library/Atlanta,GA 08/23/2002
NTIS  PB-195 829 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 01/01/1988
Collation ii, 13 pages .
Abstract
Studies were made to determine the feasibility of applying recently developed analytical techniques to the problem of planning for optimal water resource development. An optimal plan with regard to the size and location of proposed reservoirs was taken to be that physical configuration which provided the greatest net economic benefit to the people of the region while meeting future water needs. The research was aimed at providing an improvement over planning techniques which have not taken into account the interacting effects which exist between each reservoir and all downstream reservoirs. For the purpose of formulating a mathematical model for this type of problem, a number of recently developed optimization techniques were studied. The intercoupled staging structure of the process was exploited by means of nonserial dynamic programming algorithms developed in the course of the research project. (Author)
Notes
"September, 1970." "16110 FZE 09/70." Includes bibliographical references (pages 11-13).