The DPSIRM - Grey cloud clustering method for evaluating the water environment carrying capacity of Yangtze River economic Belt

被引:34
作者
Chai, Naijie [1 ]
Zhou, Wenliang [1 ]
机构
[1] Cent South Univ, Sch Traff & Transportat Engn, Changsha 410075, Peoples R China
基金
中国国家自然科学基金;
关键词
WECC; DPSIRM method; Grey cloud clustering model; Comprehensive evaluation; Yangtze River Economic Belt; SUSTAINABILITY ASSESSMENT; MODEL; MANAGEMENT; LAKE; URBANIZATION; RESILIENCE; FRAMEWORK; SYSTEM;
D O I
10.1016/j.ecolind.2022.108722
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Water Environment Carrying Capacity (WECC) is a complex system affected by society, economy, population and other factors. In this study, "Driving force- Pressure -State - Influence - Response -Management" (DPSIRM) method is introduced to analyze regional WECC, that is, WECC system is classified into six subsystems to illustrate its internal mechanism, establishing a systematic evaluation index system affecting WECC. The Fuzzy Analytic Hierarchy Process (FAHP)-Grey cloud clustering method is developed for making comprehensive WECC evaluation. Three major regions composed of 11 provinces in the Yangtze River Economic Belt (YREB) of China are selected as the study case. With regard to subsystem weights, the results show that pressure and state subsystems occupy a leading position on the whole system. For indicator weights, there are significant differences among them, and the top 5 indicators in importance are respectively: annual average total phosphorus (TP) concentration, soil erosion control rate, sediment delivery modules, wastewater effluent amount of industrial output value per 10,000 Yuan, and population density. In addition, through analyzing synthetic evaluation results, it can be found that WECC levels of different provinces present obvious spatial heterogeneity on each subsystem and overall system along the YREB, that is, they decrease along the Yangtze River from west to east except for minor deviations. Meanwhile, comprehensive scores of each regional WECC show an overall increasing trend from year 2014 to 2019, displaying significant temporal variations. Through making sensitivity analysis for WECC index system, it can be concluded that the most sensitive indicators of each subsystem are Population density, Wastewater effluent amount of industrial output value per 10,000 Yuan, Annual average TP concentration, Sediment delivery modules, Soil erosion control rate, Green coverage rate of built-up areas, respectively, which also turned out to be the top six sensitivity indicators among the whole index system. Finally, the demonstration conducted proves that the introduced DPSIRM - Grey cloud clustering method is applicable and effective to evaluate WECC at regional level.
引用
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页数:21
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共 73 条
[1]   Water resources carrying capacity assessment: The case of Algeria's capital city [J].
Ait-Aoudia, Meriem Naimi ;
Berezowska-Azzag, Ewa .
HABITAT INTERNATIONAL, 2016, 58 :51-58
[2]   Sustainable water demand management in the face of rapid urbanization and ground water depletion for social-ecological resilience building [J].
Arfanuzzaman, Md. ;
Rahman, A. Atiq .
GLOBAL ECOLOGY AND CONSERVATION, 2017, 10 :9-22
[3]   Enriching the Italian Genuine Saving with water and soil depletion: National trends and regional differences [J].
Biasi, Paola ;
Ferrini, Silvia ;
Borghesi, Simone ;
Rocchi, Benedetto ;
Di Matteo, Massimo .
ECOLOGICAL INDICATORS, 2019, 107
[4]   An economic model for water allocation in north eastern Spain [J].
Bielsa, J ;
Duarte, R .
INTERNATIONAL JOURNAL OF WATER RESOURCES DEVELOPMENT, 2001, 17 (03) :397-408
[5]   Assessment and prediction of the water ecological carrying capacity in Changzhou city, China [J].
Bu, Jiuhe ;
Li, Chunhui ;
Wang, Xuan ;
Zhang, Yuan ;
Yang, Zhongwen .
JOURNAL OF CLEANER PRODUCTION, 2020, 277
[6]   Ecological Footprint and Life Cycle Assessment in the sustainability assessment of tourism activities [J].
Castellani, Valentina ;
Sala, Serenella .
ECOLOGICAL INDICATORS, 2012, 16 :135-147
[7]   Assessing the carrying capacity of the Florida Keys [J].
Clarke, AL .
POPULATION AND ENVIRONMENT, 2002, 23 (04) :405-418
[8]  
Coccossis H., 2017, CHALLENGE TOURISM CA, P71
[9]  
[崔丹 Cui Dan], 2019, [环境科学学报, Acta Scientiae Circumstantiae], V39, P624
[10]   The carrying capacity of ecosystems [J].
del Monte-Luna, P ;
Brook, BW ;
Zetina-Rejón, MJ ;
Cruz-Escalona, VH .
GLOBAL ECOLOGY AND BIOGEOGRAPHY, 2004, 13 (06) :485-495