Evidence map›Paper›PMID 34770165›Full record

ArticleInternational journal of environmental research and public health2021

Multi-Objective Optimal Allocation of River Basin Water Resources under Full Probability Scenarios Considering Wet-Dry Encounters: A Case Study of Yellow River Basin.

Xike Guan, Zengchuan Dong, Yun Luo, Dunyu Zhong

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Xike GuanCollege of Hydrology and Water Resources, Hohai University, Nanjing 210098, China.
Zengchuan DongCollege of Hydrology and Water Resources, Hohai University, Nanjing 210098, China.ORCID 0000-0003-2579-3425
Yun LuoCollege of Hydrology and Water Resources, Hohai University, Nanjing 210098, China.
Dunyu ZhongCollege of Hydrology and Water Resources, Hohai University, Nanjing 210098, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wet-dry encounters between basins and regions have an important impact on the allocation of water resources. This study proposes a multi-objective allocation model for basin water resources under full probability scenarios considering wet-dry encounters (FPS-MOWAM) to solve the problem of basin water resource allocation. In the FPS-MOWAM model, the sub-regions were merged by precipitation correlation analysis. Next, the joint probability distribution of basin runoff and region precipitation was constructed using copula functions. The possible wet-dry encounter scenarios and their probabilities were then acquired. Finally, the multi-objective allocation model of water resources was constructed using the full probability scenario for wet-dry encounters in each region. The FPS-MOWAM is calculated by the NSGA-II algorithm and the optimal water resource allocation scheme was selected using the fuzzy comprehensive evaluation method. Using the Yellow River Basin as an example, the following conclusions were obtained: (1) the Yellow River Basin can be divided into four sub-regions based on precipitation correlations: Qh-Sc (Qinghai, Sichuan), Sg-Nx-Nmg (Gansu, Ningxia, Inner Mongolia), Sxq-Sxj (Shaanxi, Shanxi), and Hn-Sd (Henan, Shandong), (2) the inconsistencies in synchronous-asynchronous encounter probabilities in the Yellow River Basin were significant (the asynchronous probabilities were 0.763), whereas the asynchronous probabilities among the four regions were 0.632, 0.932, and 0.763 under the high, medium, and low flow conditions in the Yellow River Basin respectively, and (3) the allocation of water resources tends to increase with time, allocating the most during dry years. In 2035, the expected economic benefits are between 11,982.7 billion CNY and 12,499.6 billion CNY, while the expected water shortage rate is between 2.02% and 3.43%. In 2050, the expected economic benefits are between 21,291.4 billion CNY and 21,781.3 billion CNY, while the expected water shortage rate is between 1.28% and 6.05%.

Indexed as

RiversWater ResourcesProbabilityResource AllocationWaterWatercopulamulti-objective allocation modelwater resourceswet–dry encounterYellow River Basin

Identifiers

PMID34770165
PMCPMC8583498

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.