Variable precondition S-type cloud algorithm: Theory and application on water resources carrying capacity assessment
[Display omitted] •We assess the regional water resources carrying capacity (WRCC) scientifically.•Level of regional WRCC is assessed from three subsystems.•Change of WRCC can assess benefits of South-to-North Water Diversion Project (SWDP).•A new variable precondition S-type cloud algorithm is prop...
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| Veröffentlicht in: | Ecological indicators Jg. 121; S. 107209 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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01.02.2021
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| ISSN: | 1470-160X, 1872-7034 |
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| Abstract | [Display omitted]
•We assess the regional water resources carrying capacity (WRCC) scientifically.•Level of regional WRCC is assessed from three subsystems.•Change of WRCC can assess benefits of South-to-North Water Diversion Project (SWDP).•A new variable precondition S-type cloud algorithm is proposed to assess WRCC.•SWDP can increase carrying capacity of local water resources by 3.80% in Beijing.
The purpose of water resources carrying capacity (WRCC) research is to meet the sustainable utilization of water resources and realize its sustainable development strategy. Scientifically evaluating the carrying capacity of regional water resources is extremely important. In this study, a variable precondition S-type cloud algorithm (VPSCA) is developed for assessment of regional WRCC based on social economic subsystem, water resources subsystem, ecological and environmental subsystem including thirteen indicators, which can overcome the shortcoming that the existing evaluation methods rarely consider fuzziness, randomness, and dynamic variability of parameters at the same time. First, forward S-type cloud generator algorithm (FSCGA) is developed based on segmented S-type membership function. On this basis, precondition S-type cloud generator algorithm (PSCGA) is proposed. Moreover, the VPSCA is developed by embedding PSCGA into variable fuzzy evaluation (VFE) method. Taking Beijing as a typical research area, this paper analyzes and forecasts the comprehensive benefits of water supply of the Middle Route of South-to-North Water Diversion Project (SWDP) in 2030 using VPSCA. The results show that SWDP can increase the carrying capacity of local water resources by 3.80%. In addition, feasibility and validity of VPSCA are further verified by comparison with other existing methods. This study aims to provide some suitable theoretical and practical implications of the evaluation of WRCC. |
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| AbstractList | The purpose of water resources carrying capacity (WRCC) research is to meet the sustainable utilization of water resources and realize its sustainable development strategy. Scientifically evaluating the carrying capacity of regional water resources is extremely important. In this study, a variable precondition S-type cloud algorithm (VPSCA) is developed for assessment of regional WRCC based on social economic subsystem, water resources subsystem, ecological and environmental subsystem including thirteen indicators, which can overcome the shortcoming that the existing evaluation methods rarely consider fuzziness, randomness, and dynamic variability of parameters at the same time. First, forward S-type cloud generator algorithm (FSCGA) is developed based on segmented S-type membership function. On this basis, precondition S-type cloud generator algorithm (PSCGA) is proposed. Moreover, the VPSCA is developed by embedding PSCGA into variable fuzzy evaluation (VFE) method. Taking Beijing as a typical research area, this paper analyzes and forecasts the comprehensive benefits of water supply of the Middle Route of South-to-North Water Diversion Project (SWDP) in 2030 using VPSCA. The results show that SWDP can increase the carrying capacity of local water resources by 3.80%. In addition, feasibility and validity of VPSCA are further verified by comparison with other existing methods. This study aims to provide some suitable theoretical and practical implications of the evaluation of WRCC. [Display omitted] •We assess the regional water resources carrying capacity (WRCC) scientifically.•Level of regional WRCC is assessed from three subsystems.•Change of WRCC can assess benefits of South-to-North Water Diversion Project (SWDP).•A new variable precondition S-type cloud algorithm is proposed to assess WRCC.•SWDP can increase carrying capacity of local water resources by 3.80% in Beijing. The purpose of water resources carrying capacity (WRCC) research is to meet the sustainable utilization of water resources and realize its sustainable development strategy. Scientifically evaluating the carrying capacity of regional water resources is extremely important. In this study, a variable precondition S-type cloud algorithm (VPSCA) is developed for assessment of regional WRCC based on social economic subsystem, water resources subsystem, ecological and environmental subsystem including thirteen indicators, which can overcome the shortcoming that the existing evaluation methods rarely consider fuzziness, randomness, and dynamic variability of parameters at the same time. First, forward S-type cloud generator algorithm (FSCGA) is developed based on segmented S-type membership function. On this basis, precondition S-type cloud generator algorithm (PSCGA) is proposed. Moreover, the VPSCA is developed by embedding PSCGA into variable fuzzy evaluation (VFE) method. Taking Beijing as a typical research area, this paper analyzes and forecasts the comprehensive benefits of water supply of the Middle Route of South-to-North Water Diversion Project (SWDP) in 2030 using VPSCA. The results show that SWDP can increase the carrying capacity of local water resources by 3.80%. In addition, feasibility and validity of VPSCA are further verified by comparison with other existing methods. This study aims to provide some suitable theoretical and practical implications of the evaluation of WRCC. |
| ArticleNumber | 107209 |
| Author | Li, Ye Chen, Yiyan |
| Author_xml | – sequence: 1 givenname: Ye surname: Li fullname: Li, Ye email: b18500305@ucass.edu.cn organization: Department of Quantitative & Technological Economics, University of Chinese Academy of Social Sciences, Beijing 102488, China – sequence: 2 givenname: Yiyan surname: Chen fullname: Chen, Yiyan email: 3120195810@bit.edu.cn organization: School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China |
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| Keywords | SWD Water resources carrying capacity Comprehensive evaluation BCGA Dual uncertainty BCG FCE FCG Index system FSCGA GDP WRCC PSCGA VFE VFE1 Cloud model VPSCA SWDP FCGA |
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•We assess the regional water resources carrying capacity (WRCC) scientifically.•Level of regional WRCC is assessed from three... The purpose of water resources carrying capacity (WRCC) research is to meet the sustainable utilization of water resources and realize its sustainable... |
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| SubjectTerms | algorithms China Cloud model Comprehensive evaluation Dual uncertainty Index system sustainable development Water resources carrying capacity water supply |
| Title | Variable precondition S-type cloud algorithm: Theory and application on water resources carrying capacity assessment |
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