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...

Full description

Bibliographic Details
Main Authors: Dong, Z. (Author), Ling, Z. (Author), Liu, Q. (Author), Lu, D. (Author), Shan, C. (Author), Wang, H. (Author), Xu, C. (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2021
Subjects:
Online Access:View Fulltext in Publisher
LEADER 03018nam a2200613Ia 4500
001 10.1016-j.ecolind.2021.107742
008 220427s2021 CNT 000 0 und d
020 |a 1470160X (ISSN) 
245 1 0 |a Study on river health assessment based on a fuzzy matter-element extension model 
260 0 |b Elsevier B.V.  |c 2021 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1016/j.ecolind.2021.107742 
520 3 |a 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. © 2021 The Authors 
650 0 4 |a aquatic organism 
650 0 4 |a Aquatic organisms 
650 0 4 |a assessment method 
650 0 4 |a China 
650 0 4 |a Degree of membership 
650 0 4 |a Ecosystems 
650 0 4 |a Extension models 
650 0 4 |a flood control 
650 0 4 |a Flood control 
650 0 4 |a Fuzzy matter elements 
650 0 4 |a Fuzzy matter-element extension model 
650 0 4 |a Fuzzy matter-element extension model 
650 0 4 |a Fuzzy optimization theory 
650 0 4 |a Health 
650 0 4 |a Health assessment 
650 0 4 |a Health assessments 
650 0 4 |a health status 
650 0 4 |a Luan River 
650 0 4 |a Luanhe river 
650 0 4 |a Luanhe River 
650 0 4 |a numerical model 
650 0 4 |a optimization 
650 0 4 |a River ecosystem 
650 0 4 |a River ecosystem 
650 0 4 |a River health 
650 0 4 |a Rivers 
650 0 4 |a Soil conservation 
650 0 4 |a Water conservation 
650 0 4 |a Water management 
650 0 4 |a Water quality 
650 0 4 |a water supply 
650 0 4 |a Water supply 
650 0 4 |a watershed 
650 0 4 |a Watersheds management 
700 1 |a Dong, Z.  |e author 
700 1 |a Ling, Z.  |e author 
700 1 |a Liu, Q.  |e author 
700 1 |a Lu, D.  |e author 
700 1 |a Shan, C.  |e author 
700 1 |a Wang, H.  |e author 
700 1 |a Xu, C.  |e author 
773 |t Ecological Indicators