Study on river health assessment based on a fuzzy matter-element extension model

In order to facilitate watershed management, we developed an expansive river health assessment method based on a fuzzy matter-element extension model in this study that developed based on the transitive hierarchies and degree of membership from improved fuzzy optimization theory. Eight characteristi...

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Autores principales: Chengju Shan, Zengchuan Dong, Debao Lu, Cundong Xu, Hui Wang, Zhe Ling, Qing Liu
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Lenguaje:EN
Publicado: Elsevier 2021
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Acceso en línea:https://doaj.org/article/c3e9d5d8597b488d8070ffb72ed6299a
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spelling oai:doaj.org-article:c3e9d5d8597b488d8070ffb72ed6299a2021-12-01T04:52:30ZStudy on river health assessment based on a fuzzy matter-element extension model1470-160X10.1016/j.ecolind.2021.107742https://doaj.org/article/c3e9d5d8597b488d8070ffb72ed6299a2021-08-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21004076https://doaj.org/toc/1470-160XIn order to facilitate watershed management, we developed an expansive river health assessment method based on a fuzzy matter-element extension model in this study that developed based on the transitive hierarchies and degree of membership from improved fuzzy optimization theory. Eight characteristics of river flow, namely, the morphology, flow, water quality, river habitat, aquatic organisms, riparian zone, flood control safety, and level of the water supply, were investigated in this study to establish a system of indices to assess river health. We apply the above method to a river health assessment in the Luanhe River as sub-healthy. The results show that the method is accurate for the river health assessment compared with the actual conditions in Luanhe river. Moreover, the river health assessment method described in this study covers the different health states of river ecosystems, including the natural function and the social service function of a river. It is a reasonable river health assessment method that can evaluate river health status systematically, comprehensively and accurately. Therefore, this method is reasonable and effective and can be used to assess the ecological health of rivers in other regions.Chengju ShanZengchuan DongDebao LuCundong XuHui WangZhe LingQing LiuElsevierarticleRiver ecosystemFuzzy matter-element extension modelHealth assessmentLuanhe RiverEcologyQH540-549.5ENEcological Indicators, Vol 127, Iss , Pp 107742- (2021)
institution DOAJ
collection DOAJ
language EN
topic River ecosystem
Fuzzy matter-element extension model
Health assessment
Luanhe River
Ecology
QH540-549.5
spellingShingle River ecosystem
Fuzzy matter-element extension model
Health assessment
Luanhe River
Ecology
QH540-549.5
Chengju Shan
Zengchuan Dong
Debao Lu
Cundong Xu
Hui Wang
Zhe Ling
Qing Liu
Study on river health assessment based on a fuzzy matter-element extension model
description In order to facilitate watershed management, we developed an expansive river health assessment method based on a fuzzy matter-element extension model in this study that developed based on the transitive hierarchies and degree of membership from improved fuzzy optimization theory. Eight characteristics of river flow, namely, the morphology, flow, water quality, river habitat, aquatic organisms, riparian zone, flood control safety, and level of the water supply, were investigated in this study to establish a system of indices to assess river health. We apply the above method to a river health assessment in the Luanhe River as sub-healthy. The results show that the method is accurate for the river health assessment compared with the actual conditions in Luanhe river. Moreover, the river health assessment method described in this study covers the different health states of river ecosystems, including the natural function and the social service function of a river. It is a reasonable river health assessment method that can evaluate river health status systematically, comprehensively and accurately. Therefore, this method is reasonable and effective and can be used to assess the ecological health of rivers in other regions.
format article
author Chengju Shan
Zengchuan Dong
Debao Lu
Cundong Xu
Hui Wang
Zhe Ling
Qing Liu
author_facet Chengju Shan
Zengchuan Dong
Debao Lu
Cundong Xu
Hui Wang
Zhe Ling
Qing Liu
author_sort Chengju Shan
title Study on river health assessment based on a fuzzy matter-element extension model
title_short Study on river health assessment based on a fuzzy matter-element extension model
title_full Study on river health assessment based on a fuzzy matter-element extension model
title_fullStr Study on river health assessment based on a fuzzy matter-element extension model
title_full_unstemmed Study on river health assessment based on a fuzzy matter-element extension model
title_sort study on river health assessment based on a fuzzy matter-element extension model
publisher Elsevier
publishDate 2021
url https://doaj.org/article/c3e9d5d8597b488d8070ffb72ed6299a
work_keys_str_mv AT chengjushan studyonriverhealthassessmentbasedonafuzzymatterelementextensionmodel
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AT debaolu studyonriverhealthassessmentbasedonafuzzymatterelementextensionmodel
AT cundongxu studyonriverhealthassessmentbasedonafuzzymatterelementextensionmodel
AT huiwang studyonriverhealthassessmentbasedonafuzzymatterelementextensionmodel
AT zheling studyonriverhealthassessmentbasedonafuzzymatterelementextensionmodel
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