Open AccessEvaluation of Water Resource Carrying Capacity Based on Fuzzy Matter-element Model
Author(s) -
Yumin Wang,
Zixiang Ji
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/706/1/012003
Subject(s) - beijing , fuzzy logic , carrying capacity , water resources , economic shortage , china , evaluation methods , water scarcity , population , resource (disambiguation) , environmental economics , entropy (arrow of time) , business , environmental science , environmental resource management , water resource management , computer science , geography , engineering , economics , philosophy , artificial intelligence , government (linguistics) , ecology , computer network , sociology , biology , quantum mechanics , reliability engineering , physics , demography , linguistics , archaeology
Water resources carrying capacity (WRCC) is a significant foundation for scientific management of water resources that connected with development of water resources, population, society, and economy. With the rapid development of economy and society, the shortage of water quantity is becoming one of the most profound global issues. In this paper, to evaluate WRCC scientifically and reasonably, index system of WRCC was established and applied for assessing the WRCC of four cities in China by fuzzy matter element (FME) model comprehensively. The indices were weighted by entropy method. The WRCC of four cities of Beijing, Tianjin, Shanghai, and Chongqing are 2.620, 2.503, 2.590, and 2.457, respectively. The results indicated that the WRCC of four cities decreased in the order of Chongqing > Tianjin > Shanghai > Beijing. The method proposed can be applied to other evaluation issues, and the results can help managers realize the importance of water resources in developing the economy and society.