Regional Water Resources Security Evaluation Based on a Hybrid Fuzzy BWM-TOPSIS Method
Nowadays, water resource security is becoming increasingly prominent, and this problem is a primary bottleneck restricting China’s future sustainable development. It is difficult to come to a unified conclusion on water resources security, and applications of highly feasible evaluation methods are l...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7399815/ https://www.ncbi.nlm.nih.gov/pubmed/32664379 http://dx.doi.org/10.3390/ijerph17144987 |
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author | Tu, Yan Chen, Kai Wang, Huayi Li, Zongmin |
author_facet | Tu, Yan Chen, Kai Wang, Huayi Li, Zongmin |
author_sort | Tu, Yan |
collection | PubMed |
description | Nowadays, water resource security is becoming increasingly prominent, and this problem is a primary bottleneck restricting China’s future sustainable development. It is difficult to come to a unified conclusion on water resources security, and applications of highly feasible evaluation methods are lacking in practice. In this paper, a novel evaluation methodology is proposed for regional water resources security evaluation. First, water security is divided into two aspects: water quantity security and water quality security. The disposal rate of harmless household garbage, the excellent water resources proportion, and the functional water body loss proportion are creatively considered as indicators of water quality security in the evaluation system. In addition, a Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is used to evaluate the water security levels in different regions. For distinguishing the importance of different indicators, a Best–Worst Method (BWM) is employed to calculate the indicator weights, as triangular fuzzy linguistic sets can more flexibly describe the preferences of decision makers (DMs) regarding the indicators; therefore, it is embedded in BWM to determine indicator weights. Moreover, the fuzzy BWM-TOPSIS method is applied to evaluate the water security levels of six regions in North China, a comparison analysis with the equal weight TOPSIS method as well as the fuzzy BWM-AHP method, and a sensitivity analysis for indicator weights are presented to illustrate the effectiveness of this proposed method. Finally, some suggestions based on the evaluation results are given for effective and rational utilization of water resources in North China. |
format | Online Article Text |
id | pubmed-7399815 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-73998152020-08-17 Regional Water Resources Security Evaluation Based on a Hybrid Fuzzy BWM-TOPSIS Method Tu, Yan Chen, Kai Wang, Huayi Li, Zongmin Int J Environ Res Public Health Article Nowadays, water resource security is becoming increasingly prominent, and this problem is a primary bottleneck restricting China’s future sustainable development. It is difficult to come to a unified conclusion on water resources security, and applications of highly feasible evaluation methods are lacking in practice. In this paper, a novel evaluation methodology is proposed for regional water resources security evaluation. First, water security is divided into two aspects: water quantity security and water quality security. The disposal rate of harmless household garbage, the excellent water resources proportion, and the functional water body loss proportion are creatively considered as indicators of water quality security in the evaluation system. In addition, a Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is used to evaluate the water security levels in different regions. For distinguishing the importance of different indicators, a Best–Worst Method (BWM) is employed to calculate the indicator weights, as triangular fuzzy linguistic sets can more flexibly describe the preferences of decision makers (DMs) regarding the indicators; therefore, it is embedded in BWM to determine indicator weights. Moreover, the fuzzy BWM-TOPSIS method is applied to evaluate the water security levels of six regions in North China, a comparison analysis with the equal weight TOPSIS method as well as the fuzzy BWM-AHP method, and a sensitivity analysis for indicator weights are presented to illustrate the effectiveness of this proposed method. Finally, some suggestions based on the evaluation results are given for effective and rational utilization of water resources in North China. MDPI 2020-07-10 2020-07 /pmc/articles/PMC7399815/ /pubmed/32664379 http://dx.doi.org/10.3390/ijerph17144987 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Tu, Yan Chen, Kai Wang, Huayi Li, Zongmin Regional Water Resources Security Evaluation Based on a Hybrid Fuzzy BWM-TOPSIS Method |
title | Regional Water Resources Security Evaluation Based on a Hybrid Fuzzy BWM-TOPSIS Method |
title_full | Regional Water Resources Security Evaluation Based on a Hybrid Fuzzy BWM-TOPSIS Method |
title_fullStr | Regional Water Resources Security Evaluation Based on a Hybrid Fuzzy BWM-TOPSIS Method |
title_full_unstemmed | Regional Water Resources Security Evaluation Based on a Hybrid Fuzzy BWM-TOPSIS Method |
title_short | Regional Water Resources Security Evaluation Based on a Hybrid Fuzzy BWM-TOPSIS Method |
title_sort | regional water resources security evaluation based on a hybrid fuzzy bwm-topsis method |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7399815/ https://www.ncbi.nlm.nih.gov/pubmed/32664379 http://dx.doi.org/10.3390/ijerph17144987 |
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