River Ecosystem Health Assessment Based on Fuzzy Logic and Harmony Degree Evaluation in a Human-Dominated River Basin

被引:5
|
作者
Xi, Haojun [1 ,2 ]
Li, Tianhong [1 ,2 ]
Yuan, Yibin [3 ]
Chen, Qian [1 ,2 ]
Wen, ZhuQing [1 ,2 ]
机构
[1] Peking Univ, Coll Environm Sci & Engn, Beijing 100871, Peoples R China
[2] State Environm Protect Key Lab All Mat Fluxes Rive, Beijing 100871, Peoples R China
[3] Chengdu Acad Environm Sci, Chengdu 610072, Peoples R China
基金
美国国家科学基金会;
关键词
WATER; BIODIVERSITY; INDEXES; MODEL;
D O I
10.34133/ehs.0041
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
River health assessment is a critical basis for river sustainable management. Taking the Neijiang River in the Chengdu Plain in Southwest China as an example, the health of the typical human-dominated river ecosystem was assessed combining point-river-basin scales. According to the connotation of river health, 16 indicators in 3 aspects, including habitat characteristics, biological communities, and social services, were selected to establish the assessment indicator system for river health. Field investigation, remote sensing, geographic information system, and environmental DNA were used to quantify the indicators. With the fuzzy comprehensive evaluation and harmony degree evaluation, the river system health was assessed, and the results showed that the health assessment index of rivers ranged from 0.73 to 0.85, indicating sub-healthy to healthy levels. The coordinated development level of the downstream is restricted by the comprehensive development level between ecological integrity and social service function. Furthermore, the main human activities were the construction of dams and changes in land use/cover in the study area. The spatial pattern of the river health assessment index indicated that the impact of human activities on river health was intricate. The river health evaluation framework proposed herein provided a tool for local river management and would apply to other human-dominated river basins.
引用
收藏
页数:11
相关论文
共 50 条
  • [21] A connectivity-based assessment framework for river basin ecosystem service management
    Zhao, Yan
    Wei, Yongping
    Wu, Bingfang
    Lu, Zhixiang
    Fu, Li
    CURRENT OPINION IN ENVIRONMENTAL SUSTAINABILITY, 2018, 33 : 34 - 41
  • [22] Assessment for river health based on variable fuzzy set theory
    Shiguo Xu
    Yuyu Liu
    Water Resources, 2014, 41 : 218 - 224
  • [23] Assessment for river health based on variable fuzzy set theory
    Xu, Shiguo
    Liu, Yuyu
    WATER RESOURCES, 2014, 41 (02) : 218 - 224
  • [24] Mapping the Soil Texture in the Heihe River Basin Based on Fuzzy Logic and Data Fusion
    Lu, Ling
    Liu, Chao
    Li, Xin
    Ran, Youhua
    SUSTAINABILITY, 2017, 9 (07)
  • [25] Application of T-S Fuzzy Neural Network in the Assessment of River Ecosystem Health
    Hao, Zhenchun
    Liu, Xiaoli
    Ju, Qin
    ADVANCES IN ENVIRONMENTAL TECHNOLOGIES, PTS 1-6, 2013, 726-731 : 958 - 962
  • [26] Assessment of Aquatic Ecosystem Health of the Wutong River Based on Benthic Diatoms
    Xue, Hao
    Zheng, Binghui
    Meng, Fansheng
    Wang, Yeyao
    Zhang, Lingsong
    Cheng, Peixuan
    WATER, 2019, 11 (04)
  • [27] A fuzzy-logic-based model for assessment of human facial harmony based on theory of averages
    Ozkul, Murat Haluk
    Ozkul, Tarik
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2011, 348 (08): : 2216 - 2234
  • [28] The health assessment of land ecosystem based on Fuzzy Comprehensive Evaluation
    Zou Taohong
    Zhang Jiquan
    Lu Xingchang
    Yi Kunpeng
    Tong Zhijun
    Liu Xingpeng
    CHINESE PERSPECTIVE ON RISK ANALYSIS AND CRISIS RESPONSE, 2010, 13 : 770 - +
  • [29] Landscape ecological risk assessment of the Hailar River basin based on ecosystem services in China
    Wang, Kaige
    Zheng, Huihui
    Zhao, Xiangyu
    Sang, Zhiting
    Yan, Wenzhi
    Cai, Zhaoyang
    Xu, Yan
    Zhang, Fengrong
    ECOLOGICAL INDICATORS, 2023, 147
  • [30] ASSESSMENT OF RIVER HEALTH IN THE HAIHE RIVER BASIN BASED ON WATER QUALITY, AQUATIC LIFE, AND PHYSICAL HABITAT
    Zhao, Y. C.
    Zhang, S. L.
    Chen, J. L.
    Huang, X.
    Huang, Y. F.
    Kong, F. Q.
    APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH, 2024, 22 (01): : 539 - 554