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Journal of Water Resources Planning and Management is a peer-reviewed journal published by ASCE, covering Water resources management and optimization, Water Systems and Optimization, Hydrology and Watershed Management Studies. Over its lifetime it has published 3,747 papers, which have received 122,990 citations.
| Publisher | ASCE |
|---|---|
| Reference style | Author–year (ASCE) Author–year — (Smith, 2023) in the text Smith, A., B. Jones, and C. Lee. (2023). "A representative article title." Journal of Water Resources Planning and Management, 12(3), 45–58.
Formats any DOI in Journal of Water Resources Planning and Management style. No sign-up. |
| Publishes research in | Water resources management and optimization Water Systems and Optimization Hydrology and Watershed Management Studies Water-Energy-Food Nexus Studies Urban Stormwater Management Solutions |
| ISSN | 0733-9496 |
| Citation impact (2-yr) | 2.12 |
| h-index | 139 |
| i10-index | 2,188 |
| Top institutions publishing here | ORCID |
| Journal website | ascelibrary.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
With construction of new large-scale water storage projects on the wane in the U.S. and other developed countries, attention must focus on improving the operational effectiveness and efficiency of existing reservoir systems for maximizing the beneficial uses of these projects. Optimal coordination of the many facets of reservoir systems requires the assistance of computer modeling…
Shuffled Frog Leaping Algorithm (SFLA) is a meta-heuristic for solving discrete optimization problems. Here it is applied to determine optimal discrete pipe sizes for new pipe networks and for network expansions. SFLA is a population based, cooperative search metaphor inspired by natural memetics. The algorithm uses memetic evolution in the form of infection of ideas…
The paper describes the development of a computer model GANET that involves the application of an area of evolutionary computing, better known as genetic algorithms, to the problem of least-cost design of water distribution networks. Genetic algorithms represent an efficient search method for nonlinear optimization problems; this method is gaining acceptance among water resources managers/planners.…
The production of biomass for direct human use—e.g., as food and timber—is by far the largest freshwater-consuming human activity on Earth. However, water policy and development concentrate on a fraction of the water for food challenge, namely, irrigated agriculture, which uses an estimated 25% of the global water used in agriculture, and on the industrial…
The genetic algorithm technique is a relatively new optimization technique. In this paper we present a methodology for optimizing pipe networks using genetic algorithms. Unknown decision variables are coded as binary strings. We investigate a three‐operator genetic algorithm comprising reproduction, crossover, and mutation. Results are compared with the techniques of complete enumeration and nonlinear programming.…
