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%.

Highlights

  • Water resources, as strategic natural and public social resources, are directly related to the interests of the state and its prosperity, people, and related social development [1,2]

  • This study proposed a multi-objective allocation model for basin water resources, This study a multi-objective allocation model for water resources, considering allproposed probability scenarios for wet–dry encounters

  • FPS-MOWAM), and provided an effective solution for allocating basin water resources given conditions in provided an effective solution for allocating basin water resources given conditions which wet–dry encounters occur between the basin and regions

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Summary

Introduction

As strategic natural and public social resources, are directly related to the interests of the state and its prosperity, people, and related social development [1,2]. The objectives were: (1) to analyse the basin–region wet–dry encounter scenarios and probabilities based on the joint distribution function using copula functions for basin runoff and regional precipitation, and (2) to construct a multi-objective optimal allocation model for water resources considering the encounter. The 87WRAP distributed water according to annual average runoff in the same proportion, that is, ignoring the wet–dry encounters between the Yellow River Basin and the provinces. Meteorological Data Network (http://data.cma.cn/) (accessed on 3 November 2021)

Scenario Setting
Analysis of Wet–Dry Encounters between Basins and Regions
Objective Functions
Constraint Setting
Global Model
Solution of Multi-Objective Model Based on NSGA-II
Scheme Optimisation Based on the Fuzzy Comprehensive Evaluation Model
Precipitation Spatial Clustering
Joint Distribution Function Optimisation
Test Method
50 Tongguan Huayuankou
Water Resource shown
Analysis of Social and Economic Benefits
Expected water rates shortage rates and economic in theBasin
Rationality
Conclusions
Full Text
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