1970
DOI: 10.1029/wr006i002p00410
|View full text |Cite
|
Sign up to set email alerts
|

Multireservoir Operation Studies

Abstract: An implicit stochastic process is compared to possible alternative analytical processes. An implicit stochastic process refers to a sequence of steps consisting of streamflow synthesis, deterministic optimization, and multivariate analysis of deterministic optimization results. The comparison is incomplete in that the performance of the multivariate analysis of results is not within the scope of this paper. Some formulations based on the method of Dantzig‐Wolfe decomposition are shown to be reasonably accurate… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
16
0

Year Published

1974
1974
2014
2014

Publication Types

Select...
5
5

Relationship

0
10

Authors

Journals

citations
Cited by 54 publications
(16 citation statements)
references
References 4 publications
0
16
0
Order By: Relevance
“…At the same time single purpose, nonflood control planning has modified the characteristics of flooding without evaluating the consequences of this result on flood damages [6,7]. Multiple purpose water resource planning, on the other hand, has assumed a land use plan and flood control engineering parameters (such as flood control storage requirements} as given [13,21,4,12,14,31,16,24].…”
Section: A Review Of the Literature On Flood Damage Controlmentioning
confidence: 99%
“…At the same time single purpose, nonflood control planning has modified the characteristics of flooding without evaluating the consequences of this result on flood damages [6,7]. Multiple purpose water resource planning, on the other hand, has assumed a land use plan and flood control engineering parameters (such as flood control storage requirements} as given [13,21,4,12,14,31,16,24].…”
Section: A Review Of the Literature On Flood Damage Controlmentioning
confidence: 99%
“…Several attempts to solve these kind of problems are presented: ,4 mir [ 1967] investigated some qualitative properties of the optimal solution. Roefs and Bodin [1970] demonstrate some of the difficulties associated with solving stochastic multireservoir problems. Nayak and Arora [1971] and also Peters et al [1977] find the best policy in the restricted class of linear decision rules for a multireservoir system; their solution, however, may be far from the overall optimal policy.…”
Section: Introductionmentioning
confidence: 98%
“…supply and hydroelectric facilities to utilize best a regional water resource can constitute a complex and difficult optimization problem, and a number of methodologies have beer/ proposed for such optimization. Among these are a simulation approach [Hufschmidt and Fiering, 1966], a combination of dynamic and linear programing [Hall and Shephard, 1967], the use of operational hydrology and dynamic programing [Young, 1967], dynamic programing [Hall et al, 1968;Schweig and Cole, 1968;Jamieson and Wilkinson, 1972], dynamic programing and constrained capacity algorithm [Hall et al, 1969b], linear programing [ReVelle et al, 1969], incremental dynamic programing [Hall et al, 1969a;Yeh and Trott, 1972], a method based upon the DantzigrWolfe decomposition algorithm [Roefs and Bodin, 1970], Markov models [Gablinger and Loucks, 1970], discrete differential dynamic programing [Heidari et al, 1971 ], optimal state dynamic programing [Hall, 1972], chance-constrained reservoir model [Eisel, 1972], and stochastic dynamic programing [Dudley and Butt, 1973].…”
mentioning
confidence: 99%