Variable precondition S-type cloud algorithm: Theory and application on water resources carrying capacity assessment

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 p...

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Autores principales:	Ye Li, Yiyan Chen
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Water resources carrying capacity Comprehensive evaluation Index system Cloud model Dual uncertainty Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/33f75aef94a54c68afcfcc0750c0742e
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spelling	oai:doaj.org-article:33f75aef94a54c68afcfcc0750c0742e2021-12-01T04:38:56ZVariable precondition S-type cloud algorithm: Theory and application on water resources carrying capacity assessment1470-160X10.1016/j.ecolind.2020.107209https://doaj.org/article/33f75aef94a54c68afcfcc0750c0742e2021-02-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X20311481https://doaj.org/toc/1470-160XThe 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.Ye LiYiyan ChenElsevierarticleWater resources carrying capacityComprehensive evaluationIndex systemCloud modelDual uncertaintyEcologyQH540-549.5ENEcological Indicators, Vol 121, Iss , Pp 107209- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Water resources carrying capacity Comprehensive evaluation Index system Cloud model Dual uncertainty Ecology QH540-549.5
spellingShingle	Water resources carrying capacity Comprehensive evaluation Index system Cloud model Dual uncertainty Ecology QH540-549.5 Ye Li Yiyan Chen Variable precondition S-type cloud algorithm: Theory and application on water resources carrying capacity assessment
description	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.
format	article
author	Ye Li Yiyan Chen
author_facet	Ye Li Yiyan Chen
author_sort	Ye Li
title	Variable precondition S-type cloud algorithm: Theory and application on water resources carrying capacity assessment
title_short	Variable precondition S-type cloud algorithm: Theory and application on water resources carrying capacity assessment
title_full	Variable precondition S-type cloud algorithm: Theory and application on water resources carrying capacity assessment
title_fullStr	Variable precondition S-type cloud algorithm: Theory and application on water resources carrying capacity assessment
title_full_unstemmed	Variable precondition S-type cloud algorithm: Theory and application on water resources carrying capacity assessment
title_sort	variable precondition s-type cloud algorithm: theory and application on water resources carrying capacity assessment
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/33f75aef94a54c68afcfcc0750c0742e
work_keys_str_mv	AT yeli variablepreconditionstypecloudalgorithmtheoryandapplicationonwaterresourcescarryingcapacityassessment AT yiyanchen variablepreconditionstypecloudalgorithmtheoryandapplicationonwaterresourcescarryingcapacityassessment
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Variable precondition S-type cloud algorithm: Theory and application on water resources carrying capacity assessment

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