An improved method of using two-dimensional model to evaluate the carrying capacity of regional water resource in Inner Mongolia of China

被引:22
作者
Hu, Mengqi [1 ,2 ]
Li, Changjia [1 ,2 ]
Zhou, Wenxin [1 ,2 ]
Hu, Rina [1 ,2 ]
Lu, Tong [1 ,2 ]
机构
[1] Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing, Peoples R China
[2] Beijing Normal Univ, Fac Geog Sci, Inst Land Surface Syst & Sustainable Dev, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
Regional water resource carrying capacity; Two-dimensional model; S-shaped curve threshold analysis; Inner Mongolia; RIVER-BASIN; COMPREHENSIVE EVALUATION; S-CURVE; ENVIRONMENT; SYSTEM; CITY; SUSTAINABILITY; PRECIPITATION; DRYLANDS; RISK;
D O I
10.1016/j.jenvman.2022.114896
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The evaluation of regional water resource carrying capacity has been repeatedly conducted to provide a scientific basis for the local water resource management and the sustainable development, in particular in the water-limited regions. However, the definition of regional water resource carrying capacity and its evaluation method are still arguable. Through a case study of Inner Mongolia, located in the arid and semi-arid northern China, this paper developed an improved method to calculate regional water resource carrying capacity by the combination of the water supply-demand analysis and the S-shaped curve threshold analysis. The spatial and temporal patterns of the regional water resource carrying capacity in Inner Mongolia during 2000-2019 was evaluated at three scales, namely the province scale, the basin scale and the city scale. The results showed that the average regional water resource carrying capacity of the whole province was 0.25 (the full mark is 1.00); at the basin scale, the Yellow River Basin had the lowest regional water resource carrying capacity (0.17) among all the basins, showing that the utilization of the water resources was unreasonable; at the city scale, the average regional water resource carrying capacities in Hulunbuir and Xilingol were both over 0.25, while those in Alxa, BayanNur and Wuhai were below 0.1; Hulunbuir had 25.48 billion m(3) water surplus, while BayanNur suffered from an average water deficit of 4.51 billion m(3) from 2000 to 2019. This paper has provided a reasonable way to measure the regional water resource carrying capacity using an improved method by incorporating S-shaped curve threshold analysis, which may have a wider application for the clustering and optimization of regional water management. In addition, the spatial and temporal patterns of regional water carrying capacity are beneficial for policymakers in the implementation of the effective water usage.
引用
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页数:14
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