Modelling the coupling evolution of the water environment and social economic system using PSO-SVM in the Yangtze River Economic Belt, China

Being a crucial focal point of China's regional development, green development is a novel concept for the coordinated development of the environment and social economy. Therefore, elucidation of the relationship between the aforementioned factors is scientifically necessary to achieve regional...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Chenning Deng, Haisheng Li, Dingzhi Peng, Lusan Liu, Qiuheng Zhu, Chaojun Li
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Gray water footprint Coupling coordination degree Machine learning Green development Scenario analysis Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/9f3cd2af2c4d4c13b5f10eb6330a8e9a
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:9f3cd2af2c4d4c13b5f10eb6330a8e9a
record_format	dspace
spelling	oai:doaj.org-article:9f3cd2af2c4d4c13b5f10eb6330a8e9a2021-12-01T04:57:57ZModelling the coupling evolution of the water environment and social economic system using PSO-SVM in the Yangtze River Economic Belt, China1470-160X10.1016/j.ecolind.2021.108012https://doaj.org/article/9f3cd2af2c4d4c13b5f10eb6330a8e9a2021-10-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21006774https://doaj.org/toc/1470-160XBeing a crucial focal point of China's regional development, green development is a novel concept for the coordinated development of the environment and social economy. Therefore, elucidation of the relationship between the aforementioned factors is scientifically necessary to achieve regional green sustainability. Based on the theory of the gray water footprint and physical and statistical models, this study aims to analyze, evaluate, and predict the spatiotemporal dynamics of the coupling evolution between the water environment and social economy in the Yangtze River Economic Belt to provide a scientific reference for exploring basic laws of coordinated development, identifying influencing factors, and formulating management strategies. The results showed that: (1) from 2003 to 2017, the carrying capacity coefficients of the gray water footprint (i.e., the KCOD, KNH3-N, and KTP, except for KTN) decreased over time, as shown by a decreasing trend in the degree of the coupling coordination, which was observed from the east to the west; (2) the coupling coordination degree showed a decreasing trend from the east to the west at the spatial level and an increasing trend from 2003 to 2017 at the temporal level; and (3) the optimal scenario was green development (Plan IV) and the overall coordination degree improved. In addition, corresponding policy recommendations were proposed. The research results are scientifically significant and present a theoretical reference for the coordinated and sustainable development of the regional ecological environment and social economy.Chenning DengHaisheng LiDingzhi PengLusan LiuQiuheng ZhuChaojun LiElsevierarticleGray water footprintCoupling coordination degreeMachine learningGreen developmentScenario analysisEcologyQH540-549.5ENEcological Indicators, Vol 129, Iss , Pp 108012- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Gray water footprint Coupling coordination degree Machine learning Green development Scenario analysis Ecology QH540-549.5
spellingShingle	Gray water footprint Coupling coordination degree Machine learning Green development Scenario analysis Ecology QH540-549.5 Chenning Deng Haisheng Li Dingzhi Peng Lusan Liu Qiuheng Zhu Chaojun Li Modelling the coupling evolution of the water environment and social economic system using PSO-SVM in the Yangtze River Economic Belt, China
description	Being a crucial focal point of China's regional development, green development is a novel concept for the coordinated development of the environment and social economy. Therefore, elucidation of the relationship between the aforementioned factors is scientifically necessary to achieve regional green sustainability. Based on the theory of the gray water footprint and physical and statistical models, this study aims to analyze, evaluate, and predict the spatiotemporal dynamics of the coupling evolution between the water environment and social economy in the Yangtze River Economic Belt to provide a scientific reference for exploring basic laws of coordinated development, identifying influencing factors, and formulating management strategies. The results showed that: (1) from 2003 to 2017, the carrying capacity coefficients of the gray water footprint (i.e., the KCOD, KNH3-N, and KTP, except for KTN) decreased over time, as shown by a decreasing trend in the degree of the coupling coordination, which was observed from the east to the west; (2) the coupling coordination degree showed a decreasing trend from the east to the west at the spatial level and an increasing trend from 2003 to 2017 at the temporal level; and (3) the optimal scenario was green development (Plan IV) and the overall coordination degree improved. In addition, corresponding policy recommendations were proposed. The research results are scientifically significant and present a theoretical reference for the coordinated and sustainable development of the regional ecological environment and social economy.
format	article
author	Chenning Deng Haisheng Li Dingzhi Peng Lusan Liu Qiuheng Zhu Chaojun Li
author_facet	Chenning Deng Haisheng Li Dingzhi Peng Lusan Liu Qiuheng Zhu Chaojun Li
author_sort	Chenning Deng
title	Modelling the coupling evolution of the water environment and social economic system using PSO-SVM in the Yangtze River Economic Belt, China
title_short	Modelling the coupling evolution of the water environment and social economic system using PSO-SVM in the Yangtze River Economic Belt, China
title_full	Modelling the coupling evolution of the water environment and social economic system using PSO-SVM in the Yangtze River Economic Belt, China
title_fullStr	Modelling the coupling evolution of the water environment and social economic system using PSO-SVM in the Yangtze River Economic Belt, China
title_full_unstemmed	Modelling the coupling evolution of the water environment and social economic system using PSO-SVM in the Yangtze River Economic Belt, China
title_sort	modelling the coupling evolution of the water environment and social economic system using pso-svm in the yangtze river economic belt, china
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/9f3cd2af2c4d4c13b5f10eb6330a8e9a
work_keys_str_mv	AT chenningdeng modellingthecouplingevolutionofthewaterenvironmentandsocialeconomicsystemusingpsosvmintheyangtzerivereconomicbeltchina AT haishengli modellingthecouplingevolutionofthewaterenvironmentandsocialeconomicsystemusingpsosvmintheyangtzerivereconomicbeltchina AT dingzhipeng modellingthecouplingevolutionofthewaterenvironmentandsocialeconomicsystemusingpsosvmintheyangtzerivereconomicbeltchina AT lusanliu modellingthecouplingevolutionofthewaterenvironmentandsocialeconomicsystemusingpsosvmintheyangtzerivereconomicbeltchina AT qiuhengzhu modellingthecouplingevolutionofthewaterenvironmentandsocialeconomicsystemusingpsosvmintheyangtzerivereconomicbeltchina AT chaojunli modellingthecouplingevolutionofthewaterenvironmentandsocialeconomicsystemusingpsosvmintheyangtzerivereconomicbeltchina
_version_	1718405679772860416

Modelling the coupling evolution of the water environment and social economic system using PSO-SVM in the Yangtze River Economic Belt, China

Ejemplares similares