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Assessment of Water Resources Carrying Risk and the Coping Behaviors of the Government and the Public

The carrying capacity of water resources is of great significance to economic and social development, eco-environmental protection, and public health. The per capita water resources in Zhejiang Province is only 2280.8 m(3), which is more likely to cause the risk of water resources carrying capacity...

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Autores principales: Zhang, Ning, Wang, Zichen, Zhang, Lan, Yang, Xiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8306389/
https://www.ncbi.nlm.nih.gov/pubmed/34300143
http://dx.doi.org/10.3390/ijerph18147693
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author Zhang, Ning
Wang, Zichen
Zhang, Lan
Yang, Xiao
author_facet Zhang, Ning
Wang, Zichen
Zhang, Lan
Yang, Xiao
author_sort Zhang, Ning
collection PubMed
description The carrying capacity of water resources is of great significance to economic and social development, eco-environmental protection, and public health. The per capita water resources in Zhejiang Province is only 2280.8 m(3), which is more likely to cause the risk of water resources carrying capacity in the case of water shortage. Therefore, this paper applies Analytic Hierarchy Process-Fuzzy Comprehensive Evaluation and Entropy-Principal Component Analysis to evaluate the vulnerability of disaster-bearers and the risk of disaster-causing factors; it comprehensively evaluates the risk of water resources carrying capacity in Zhejiang Province by constructing risk matrix and ranking scores. The specific results are as follows: According to the comprehensive evaluation of the vulnerability of disaster-bearers in Zhejiang Province from the three aspects of supporting force, regulating force, and pressure, the overall performance was good. In particular, the role of supporting force is the most obvious. In the risk of disaster factors, it was found that industrial structure, climate change, water use efficiency, and population structure have great influence, showing that southern Zhejiang is at a greater risk than northern Zhejiang, and western Zhejiang is at a greater risk than eastern Zhejiang, but the overall score gap is not large. Combining the two results, the order of water resources carrying risk in Zhejiang Province from low to high was Hangzhou, Ningbo, Shaoxing, Jiaxing, Huzhou, Jinhua, Quzhou, Wenzhou, Lishui, Taizhou, and Zhoushan. Finally, according to the development planning of different cities, the coping behaviors of the government and the public regarding water resources carrying risk are put forward.
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spelling pubmed-83063892021-07-25 Assessment of Water Resources Carrying Risk and the Coping Behaviors of the Government and the Public Zhang, Ning Wang, Zichen Zhang, Lan Yang, Xiao Int J Environ Res Public Health Article The carrying capacity of water resources is of great significance to economic and social development, eco-environmental protection, and public health. The per capita water resources in Zhejiang Province is only 2280.8 m(3), which is more likely to cause the risk of water resources carrying capacity in the case of water shortage. Therefore, this paper applies Analytic Hierarchy Process-Fuzzy Comprehensive Evaluation and Entropy-Principal Component Analysis to evaluate the vulnerability of disaster-bearers and the risk of disaster-causing factors; it comprehensively evaluates the risk of water resources carrying capacity in Zhejiang Province by constructing risk matrix and ranking scores. The specific results are as follows: According to the comprehensive evaluation of the vulnerability of disaster-bearers in Zhejiang Province from the three aspects of supporting force, regulating force, and pressure, the overall performance was good. In particular, the role of supporting force is the most obvious. In the risk of disaster factors, it was found that industrial structure, climate change, water use efficiency, and population structure have great influence, showing that southern Zhejiang is at a greater risk than northern Zhejiang, and western Zhejiang is at a greater risk than eastern Zhejiang, but the overall score gap is not large. Combining the two results, the order of water resources carrying risk in Zhejiang Province from low to high was Hangzhou, Ningbo, Shaoxing, Jiaxing, Huzhou, Jinhua, Quzhou, Wenzhou, Lishui, Taizhou, and Zhoushan. Finally, according to the development planning of different cities, the coping behaviors of the government and the public regarding water resources carrying risk are put forward. MDPI 2021-07-20 /pmc/articles/PMC8306389/ /pubmed/34300143 http://dx.doi.org/10.3390/ijerph18147693 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Ning
Wang, Zichen
Zhang, Lan
Yang, Xiao
Assessment of Water Resources Carrying Risk and the Coping Behaviors of the Government and the Public
title Assessment of Water Resources Carrying Risk and the Coping Behaviors of the Government and the Public
title_full Assessment of Water Resources Carrying Risk and the Coping Behaviors of the Government and the Public
title_fullStr Assessment of Water Resources Carrying Risk and the Coping Behaviors of the Government and the Public
title_full_unstemmed Assessment of Water Resources Carrying Risk and the Coping Behaviors of the Government and the Public
title_short Assessment of Water Resources Carrying Risk and the Coping Behaviors of the Government and the Public
title_sort assessment of water resources carrying risk and the coping behaviors of the government and the public
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8306389/
https://www.ncbi.nlm.nih.gov/pubmed/34300143
http://dx.doi.org/10.3390/ijerph18147693
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