Use of Many-Objective Visual Analytics to Analyze Water Supply Objective Trade-Offs with Water Transfer

Zhang, Chi; Yu, Long; Chu, Jianhua; Fu, Guangtao; Tang, Rong; Qi, Wei

doi:10.1061/(asce)wr.1943-5452.0000800

Cited by 14 publications

(7 citation statements)

References 40 publications

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“…Actually, their results were based on a short-term plan. Similarly, Zhang et al [65] employed the technique on the Dahuofang Reservoir, Hunhe River, China, to optimize the trade-off changes and to minimize water shortage. Chu et al [66] used NSGA II on the inter-basin connected reservoirs called Dahuofang, Guanyinge, and Shenwo in China.…”

Section: Distribution Of Publications Based On Water Problem Classifimentioning

confidence: 99%

Multi-Criteria Decision-Making Methods to Address Water Allocation Problems: A Systematic Review

Gebre

Cattrysse

Orshoven

2021

Water

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The water allocation problem is complex and requires a combination of regulations, policies, and mechanisms to support water management to minimize the risk of shortage among competing users. This paper compiles the application of multi-criteria decision-making (MCDM) related to water allocation. In this regard, this paper aims to identify and to discern the pattern, distribution of study regions, water problem classifications, and decision techniques application for a specific water allocation problem. We applied a systematic literature review study from 2000 to 2019 by using four literature databases (Web of Science, Scopus, Science Direct, and Google Scholar). From 109 papers, 49 publications have been identified and information extracted. This study reveals that in the past two decades the application of MCDM in the area of water allocation has increased particularly after 2014. Around 65% and 12% of study papers were conducted in Asia and Europe, respectively. Water shortage, water use management, and water quality were consecutively the most top-ranked discussed water problems. NSGA II (non-dominated sorting genetic algorithm), GA (genetic algorithm), and LP (linear programming) are the more often applied decision methods to solve water allocation problems. The key findings of this study provide guidelines for future research studies.

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Section: Distribution Of Publications Based On Water Problem Classifimentioning

confidence: 99%

Multi-Criteria Decision-Making Methods to Address Water Allocation Problems: A Systematic Review

Gebre

Cattrysse

Orshoven

2021

Water

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“…Sadegh et al (2010) managed the inter-basin water resources based on the least-cost objective. Furthermore, Zhang et al (2017) determined the amount of water transferred to maximize the water supply reliability involving the minimum water spillage. In addition to the least-cost and reliability objectives, there is still a need to add more pragmatic objectives in the water transfers process.…”

Section: Use Of Proposed Approach For Ibwt 52mentioning

confidence: 99%

Many-objective optimization with improved shuffled frog leaping algorithm for inter-basin water transfers

Guo

Tian

Fang

et al. 2020

Advances in Water Resources

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“…In situ reservoir storage and forebay water elevation records in the US are collected from the Bureau of Reclamation [27] and are used along with remote sensed reservoir water area series [23] to validate the derived curves. Observed area-storage and depth-storage curves of several reservoirs in China are also collected [28,29].…”

Section: Input Datasetsmentioning

confidence: 99%

Using GRanD Database and Surface Water Data to Constrain Area–Storage Curve of Reservoirs

Tang

Han

et al. 2020

Water

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Basic information on global reservoirs is well documented in databases such as GRanD (Global Reservoir and Dam) and ICOLD (International Commission on Large Dams). However, though playing a critical role in estimating reservoir storage variations from remote sensing or hydrological models, area–storage curves of reservoirs are not conveniently obtained nor publicly shared. In this paper, we combine the GRanD database and Landsat-based global surface water extent (GSW) data to derive area–storage curves of reservoirs. The reported storage capacity in the GRanD database and water surface area from GSW data were used to constrain the area–storage curve. The proposed method has the potential to derive area–storage curves of reservoirs larger than 1 km2 archived in the GRanD database. The derived curves are validated with in situ reservoir data collected in US and China, and the results show that in situ records are well captured by the derived curves both in large and small reservoirs with various shapes. The derived area–storage curves could be employed to advance global monitoring or modeling of reservoir storage dynamics.

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Use of Many-Objective Visual Analytics to Analyze Water Supply Objective Trade-Offs with Water Transfer

Cited by 14 publications

References 40 publications

Multi-Criteria Decision-Making Methods to Address Water Allocation Problems: A Systematic Review

Multi-Criteria Decision-Making Methods to Address Water Allocation Problems: A Systematic Review

Many-objective optimization with improved shuffled frog leaping algorithm for inter-basin water transfers

Using GRanD Database and Surface Water Data to Constrain Area–Storage Curve of Reservoirs

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