Assessment of water resources carrying capacity based on fuzzy comprehensive evaluation – case study of Jinan, China
Jinan is a city that typifies the water resource shortage in North China. This study selected nine indices to evaluate the regional water resources carrying capacity (WRCC), which is an important constraining factor in relation to socioeconomic development and the ecological environment. The AHP-CRI...
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oai:doaj.org-article:8ddf06e6476c4b42a4368669196fadaa2021-11-06T07:09:01ZAssessment of water resources carrying capacity based on fuzzy comprehensive evaluation – case study of Jinan, China1606-97491607-079810.2166/ws.2020.335https://doaj.org/article/8ddf06e6476c4b42a4368669196fadaa2021-03-01T00:00:00Zhttp://ws.iwaponline.com/content/21/2/513https://doaj.org/toc/1606-9749https://doaj.org/toc/1607-0798Jinan is a city that typifies the water resource shortage in North China. This study selected nine indices to evaluate the regional water resources carrying capacity (WRCC), which is an important constraining factor in relation to socioeconomic development and the ecological environment. The AHP-CRITIC weighting method was applied to determine the index weighting, and WRCC dynamics during 2011–2016 were analysed and evaluated quantitatively using the fuzzy comprehensive evaluation method. The results revealed the following. (1) During 2011–2016, the comprehensive score of the WRCC was <0.4, indicating poor WRCC. (2) The degree membership of the average evaluation results to V1, V2, and V3 increased successively during 2011–2016. The degree membership of V2 in 2011–2013 was greater than that of V3; however, the situation was reversed during 2014–2016. (3) The indices of available amount of water resources per capita, utilization rate of water resources, water supply per capita, modulus of water supply, quota of domestic water demand, and population density were factors that affected the WRCC of Jinan unfavourably. Conversely, the indices of water demand per 10,000 Yuan industrial output value and water use rate of the ecological environment were factors that played positive roles in improving the WRCC. HIGHLIGHTS AHP-CRITIC weighting method is used to calculate the weight of evaluation index.; Fuzzy comprehensive evaluation method is applied to evaluate the factor affecting the water resources carrying capacity.; Multi factor comprehensive evaluation is made through the comprehensive evaluation matrix.;Yi WuZhongyu MaXiang LiLi SunShaohua SunRuibao JiaIWA Publishingarticlecarrying capacityevaluation indexfuzzy comprehensive evaluationwater resourceWater supply for domestic and industrial purposesTD201-500River, lake, and water-supply engineering (General)TC401-506ENWater Supply, Vol 21, Iss 2, Pp 513-524 (2021) |
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carrying capacity evaluation index fuzzy comprehensive evaluation water resource Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506 |
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carrying capacity evaluation index fuzzy comprehensive evaluation water resource Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506 Yi Wu Zhongyu Ma Xiang Li Li Sun Shaohua Sun Ruibao Jia Assessment of water resources carrying capacity based on fuzzy comprehensive evaluation – case study of Jinan, China |
description |
Jinan is a city that typifies the water resource shortage in North China. This study selected nine indices to evaluate the regional water resources carrying capacity (WRCC), which is an important constraining factor in relation to socioeconomic development and the ecological environment. The AHP-CRITIC weighting method was applied to determine the index weighting, and WRCC dynamics during 2011–2016 were analysed and evaluated quantitatively using the fuzzy comprehensive evaluation method. The results revealed the following. (1) During 2011–2016, the comprehensive score of the WRCC was <0.4, indicating poor WRCC. (2) The degree membership of the average evaluation results to V1, V2, and V3 increased successively during 2011–2016. The degree membership of V2 in 2011–2013 was greater than that of V3; however, the situation was reversed during 2014–2016. (3) The indices of available amount of water resources per capita, utilization rate of water resources, water supply per capita, modulus of water supply, quota of domestic water demand, and population density were factors that affected the WRCC of Jinan unfavourably. Conversely, the indices of water demand per 10,000 Yuan industrial output value and water use rate of the ecological environment were factors that played positive roles in improving the WRCC. HIGHLIGHTS
AHP-CRITIC weighting method is used to calculate the weight of evaluation index.;
Fuzzy comprehensive evaluation method is applied to evaluate the factor affecting the water resources carrying capacity.;
Multi factor comprehensive evaluation is made through the comprehensive evaluation matrix.; |
format |
article |
author |
Yi Wu Zhongyu Ma Xiang Li Li Sun Shaohua Sun Ruibao Jia |
author_facet |
Yi Wu Zhongyu Ma Xiang Li Li Sun Shaohua Sun Ruibao Jia |
author_sort |
Yi Wu |
title |
Assessment of water resources carrying capacity based on fuzzy comprehensive evaluation – case study of Jinan, China |
title_short |
Assessment of water resources carrying capacity based on fuzzy comprehensive evaluation – case study of Jinan, China |
title_full |
Assessment of water resources carrying capacity based on fuzzy comprehensive evaluation – case study of Jinan, China |
title_fullStr |
Assessment of water resources carrying capacity based on fuzzy comprehensive evaluation – case study of Jinan, China |
title_full_unstemmed |
Assessment of water resources carrying capacity based on fuzzy comprehensive evaluation – case study of Jinan, China |
title_sort |
assessment of water resources carrying capacity based on fuzzy comprehensive evaluation – case study of jinan, china |
publisher |
IWA Publishing |
publishDate |
2021 |
url |
https://doaj.org/article/8ddf06e6476c4b42a4368669196fadaa |
work_keys_str_mv |
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1718443809372635136 |