Literature DB >> 32126408

Comprehensive ecological risk assessment for semi-arid basin based on conceptual model of risk response and improved TOPSIS model-a case study of Wei River Basin, China.

Tao Yang1, Qian Zhang2, Xuhao Wan2, Xiaoping Li3, Yiyan Wang2, Wei Wang2.   

Abstract

Comprehensive ecological risk assessment is of great significance for the restoration of watershed ecosystem health, and the appropriate and effective assessment method is the premise of ecological risk assessment. In this study, the conceptual model of risk response was developed by identification of ecological risk sources, stressors, endpoints and the corresponding response mechanism as well as the improved TOPSIS model based on Canberra distance and the combinatorial weighting method based on AHP and Critic were combined for the assessment. According to the three aspects of agriculture, industrial and urbanization, the occurrence mechanism of comprehensive ecological risk of rivers in semi-arid areas was analyzed. Furthermore, twenty-four indexes were selected to establish the index system and the Wei River Basin was taken as an example to verify the model. The results of comprehensive ecological risk assessment and stressor analysis showed that the deterioration of water quality (enrichment of heavy metals) and the decrease of benthos integrity were the two main risk factors for the increase of comprehensive ecological risk in Wei River Basin. And the regulation of ecological risk for the Wei River Basin is improvement of water quality and biotic integrity.
Copyright © 2020 Elsevier B.V. All rights reserved.

Keywords:  Comprehensive risk assessment system; Ecological risk response mechanism; Improved TOPSIS model; Risk source identification

Year:  2020        PMID: 32126408     DOI: 10.1016/j.scitotenv.2020.137502

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  5 in total

1.  Soil heavy metal contamination assessment in the Hun-Taizi River watershed, China.

Authors:  Wei Zhang; Miao Liu; Chunlin Li
Journal:  Sci Rep       Date:  2020-05-26       Impact factor: 4.379

2.  Comprehensive partitions and optimisation strategies based on tourism urbanisation and resources environment carrying capacity in the Yellow River Basin, China.

Authors:  Zhaofeng Wang; Qingqing Chen
Journal:  Environ Sci Pollut Res Int       Date:  2021-11-20       Impact factor: 5.190

3.  Optimizing the Water Ecological Environment of Mining Cities in the Yangtze River Economic Belt Using the Cloud Model, CV-TOPSIS, and Coupling Coordination Degree.

Authors:  Ran Wang; Hao Lin; Jinhua Cheng; Zixi Xu; Haoying Feng; Yameng Tang
Journal:  Int J Environ Res Public Health       Date:  2022-02-21       Impact factor: 3.390

4.  Exploring the Driving Factors of Remote Sensing Ecological Index Changes from the Perspective of Geospatial Differentiation: A Case Study of the Weihe River Basin, China.

Authors:  Kaili Zhang; Rongrong Feng; Zhicheng Zhang; Chun Deng; Hongjuan Zhang; Kang Liu
Journal:  Int J Environ Res Public Health       Date:  2022-09-01       Impact factor: 4.614

5.  Performance and Obstacle Tracking to Natural Forest Resource Protection Project: A Rangers' Case of Qilian Mountain, China.

Authors:  Ya Wang; Lihua Zhou; Guojing Yang; Rui Guo; Cuizhen Xia; Yang Liu
Journal:  Int J Environ Res Public Health       Date:  2020-08-05       Impact factor: 3.390

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.