Research on ecological environment impact assessment based on PSR and cloud theory in Dari county, source of the Yellow River
In order to reasonably evaluate the ecological environment of Dari County in the source region of the Yellow River, the characteristics and actual conditions of Dari County's ecological environment are taken into account, and the principles of representativeness, scientificity, operability and...
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IWA Publishing
2021
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oai:doaj.org-article:719faf54488543a098d67bafc7165a0a2021-11-06T07:12:14ZResearch on ecological environment impact assessment based on PSR and cloud theory in Dari county, source of the Yellow River1606-97491607-079810.2166/ws.2020.286https://doaj.org/article/719faf54488543a098d67bafc7165a0a2021-05-01T00:00:00Zhttp://ws.iwaponline.com/content/21/3/1050https://doaj.org/toc/1606-9749https://doaj.org/toc/1607-0798In order to reasonably evaluate the ecological environment of Dari County in the source region of the Yellow River, the characteristics and actual conditions of Dari County's ecological environment are taken into account, and the principles of representativeness, scientificity, operability and systematicness of index are followed. An evaluation index system is established for Dari County based on the Pressure-State-Response (PSR) conceptual framework. Combining the Analytic Hierarchy Process (AHP) with the cloud model, an ecological environment evaluation model for Dari County is established, and the ecological environment of Dari County is quantitatively evaluated. The model organically combines the ambiguity and randomness of the uncertainty concept. It not only describes the ambiguity of the evaluation level with a membership function, but also considers the randomness of the membership itself using the concept of superentropy, which is more in line with the actual evaluation object. The results indicate that the ecological situation of Dari County is in a ‘general’ state that should be urgently protected for sustainable development, and land degradation is the most important factor affecting the ecological environment of Dari County. HIGHLIGHTS A model method combining AHP and cloud model.; The ecological environment of Dari County is in a general state.; The evaluation index system of Dari County based on PSR framework is proposed.; Land degradation is an important factor affecting the ecology of Dari County.; The evaluation model can take into account both ambiguity and randomness.;Wang YongqiangWu ZhijunYan BoLi KaiHuang FengIWA Publishingarticleassessmentcloud modeldari countyecological environmental impactpsr frameworkWater supply for domestic and industrial purposesTD201-500River, lake, and water-supply engineering (General)TC401-506ENWater Supply, Vol 21, Iss 3, Pp 1050-1060 (2021) |
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assessment cloud model dari county ecological environmental impact psr framework Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506 |
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assessment cloud model dari county ecological environmental impact psr framework Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506 Wang Yongqiang Wu Zhijun Yan Bo Li Kai Huang Feng Research on ecological environment impact assessment based on PSR and cloud theory in Dari county, source of the Yellow River |
description |
In order to reasonably evaluate the ecological environment of Dari County in the source region of the Yellow River, the characteristics and actual conditions of Dari County's ecological environment are taken into account, and the principles of representativeness, scientificity, operability and systematicness of index are followed. An evaluation index system is established for Dari County based on the Pressure-State-Response (PSR) conceptual framework. Combining the Analytic Hierarchy Process (AHP) with the cloud model, an ecological environment evaluation model for Dari County is established, and the ecological environment of Dari County is quantitatively evaluated. The model organically combines the ambiguity and randomness of the uncertainty concept. It not only describes the ambiguity of the evaluation level with a membership function, but also considers the randomness of the membership itself using the concept of superentropy, which is more in line with the actual evaluation object. The results indicate that the ecological situation of Dari County is in a ‘general’ state that should be urgently protected for sustainable development, and land degradation is the most important factor affecting the ecological environment of Dari County. HIGHLIGHTS
A model method combining AHP and cloud model.;
The ecological environment of Dari County is in a general state.;
The evaluation index system of Dari County based on PSR framework is proposed.;
Land degradation is an important factor affecting the ecology of Dari County.;
The evaluation model can take into account both ambiguity and randomness.; |
format |
article |
author |
Wang Yongqiang Wu Zhijun Yan Bo Li Kai Huang Feng |
author_facet |
Wang Yongqiang Wu Zhijun Yan Bo Li Kai Huang Feng |
author_sort |
Wang Yongqiang |
title |
Research on ecological environment impact assessment based on PSR and cloud theory in Dari county, source of the Yellow River |
title_short |
Research on ecological environment impact assessment based on PSR and cloud theory in Dari county, source of the Yellow River |
title_full |
Research on ecological environment impact assessment based on PSR and cloud theory in Dari county, source of the Yellow River |
title_fullStr |
Research on ecological environment impact assessment based on PSR and cloud theory in Dari county, source of the Yellow River |
title_full_unstemmed |
Research on ecological environment impact assessment based on PSR and cloud theory in Dari county, source of the Yellow River |
title_sort |
research on ecological environment impact assessment based on psr and cloud theory in dari county, source of the yellow river |
publisher |
IWA Publishing |
publishDate |
2021 |
url |
https://doaj.org/article/719faf54488543a098d67bafc7165a0a |
work_keys_str_mv |
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1718443801554452480 |