Dynamic evaluation of regional water resources carrying capacity based on set pair analysis and partial connection number

被引:15
作者
Li, Zheng [1 ,2 ]
Jin, Juliang [1 ,2 ]
Cui, Yi [1 ,2 ]
Zhang, Libing [1 ,2 ]
Wu, Chengguo [1 ,2 ]
Ning, Shaowei [1 ,2 ]
Zhou, Yuliang [1 ,2 ]
机构
[1] Hefei Univ Technol, Sch Civil Engn, Hefei 230009, Peoples R China
[2] Hefei Univ Technol, Inst Water Resources & Environm Syst Engn, Hefei 230009, Peoples R China
关键词
Anhui Province; connection number; Huaibei City; PCN; SPA; SPP; WRCC evaluation; NETWORK FORECASTING-MODEL; SIMULATION; AREA;
D O I
10.2166/ws.2021.371
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In order to describe the micro motion between the connection number components and seek a more applicable evaluation model, quantitatively evaluate and analyze regional water resources carrying capacity (WRCC). Firstly, an evaluation index system and grade standards of regional WRCC were constructed. Then, a method for determining the connection number was proposed, which considered the micro motion between the connection number components in system structure. Finally, built an evaluation model based on set pair analysis (SPA) and partial connection number (PCN) that used subtraction set pair potential (SPP) to identify vulnerability factors, and identification results were compared with total partial connection number (TPCN). The model was applied to Huaibei City, Anhui Province, China. The results showed that: the WRCC grade value was between 2 and 3 that was poor; the support and regulation subsystem grade value was between 2 and 3, and the pressure subsystem grade value was between 1 and 2. SPP identified that the support force and regulation force subsystem were the vulnerable subsystems. Eight indexes such as water resources per capita, rate of ecological water consumption and density of population were the main indicators causing the poor WRCC, which were in good agreement with the local measured data. In addition, the SPP and TPCN are compared to further verify rationality of the connection number determination method and reliability of the identification results. The model established in this paper has strong applicability and can also be used for the dynamic evaluation of other resources, environment and ecological carrying capacity. The results in this study can provide a scientific basis for water resources management and decision-making.
引用
收藏
页码:2407 / 2423
页数:17
相关论文
共 40 条
[1]   Microbial Remobilisation on Riverbed Sediment Disturbance in Experimental Flumes and a Human-Impacted River: Implication for Water Resource Management and Public Health in Developing Sub-Saharan African Countries [J].
Abia, Akebe Luther King ;
James, Chris ;
Ubomba-Jaswa, Eunice ;
Momba, Maggy Ndombo Benteke .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2017, 14 (03)
[2]   Anaerobic Digestion Model No. 1 Simulation of High Solids Anaerobic Digestion with Feasibility Study for El Gabal El Asfar Water Resource Recovery Facility [J].
Aboulfotoh, Ahmed M. .
WATER ENVIRONMENT RESEARCH, 2018, 90 (03) :197-205
[3]   Fate of cellulose in primary and secondary treatment at municipal water resource recovery facilities [J].
Ahmed, Ahmed Shawki ;
Bahreini, Gholamreza ;
Ho, Dang ;
Sridhar, Ganesh ;
Gupta, Medhavi ;
Wessels, Coos ;
Marcelis, Pim ;
Elbeshbishy, Elsayed ;
Rosso, Diego ;
Santoro, Domenico ;
Nakhla, George .
WATER ENVIRONMENT RESEARCH, 2019, 91 (11) :1479-1489
[4]   Assessing water resource system vulnerability to unprecedented hydrological drought using copulas to characterize drought duration and deficit [J].
Borgomeo, Edoardo ;
Pflug, Georg ;
Hall, Jim W. ;
Hochrainer-Stigler, Stefan .
WATER RESOURCES RESEARCH, 2015, 51 (11) :8927-8948
[5]   Vulnerability assessment of water resources in Hilly Region of Nepal [J].
Chhetri, Ramesh ;
Kumar, Parmanand ;
Pandey, Vishnu P. ;
Singh, Ranjeet ;
Pandey, Shachi .
SUSTAINABLE WATER RESOURCES MANAGEMENT, 2020, 6 (03)
[6]   Determining the scale of coal mining in an ecologically fragile mining area under the constraint of water resources carrying capacity [J].
Chi, Mingbo ;
Zhang, Dongsheng ;
Zhao, Qiang ;
Yu, Wei ;
Liang, Shuaishuai .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2021, 279 (279)
[7]   Water Resources Carrying Capacity Evaluation and Diagnosis Based on Set Pair Analysis and Improved the Entropy Weight Method [J].
Cui, Yi ;
Feng, Ping ;
Jin, Juliang ;
Liu, Li .
ENTROPY, 2018, 20 (05)
[8]   Assessment of the water resource carrying capacity based on the ecological footprint: a case study in Zhangjiakou City, North China [J].
Dai, Dan ;
Sun, Mingdong ;
Xu, Xiangqin ;
Lei, Kun .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2019, 26 (11) :11000-11011
[9]   Comprehensive Evaluation of Water Resources Carrying Capacity in the Han River Basin [J].
Deng, Lele ;
Yin, Jiabo ;
Tian, Jing ;
Li, Qianxun ;
Guo, Shenglian .
WATER, 2021, 13 (03)
[10]  
Drangert JO, 2021, AMBIO, V50, P679, DOI 10.1007/s13280-020-01373-1