Investigating the spatiotemporal dynamic evolution and driving factors of wastewater treatment efficiency in the context of China’s River Chief system

Investigating the wastewater treatment efficiency (WTE) is an important component in fostering sustainable water management. This study proposes an environmental production technology framework based on eutrophication levels and heavy metal concentrations caused by wastewater discharge. The slack ba...

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Autores principales: Zhengxian Zhang, Yun Li, Xiaogang Wang, Yuan Xu, Yipeng Liao, Zhiyong Wan, Nanbo Tang
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Lenguaje:EN
Publicado: Elsevier 2021
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Acceso en línea:https://doaj.org/article/ff34c26e26be4442babdc547dffb0b8c
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spelling oai:doaj.org-article:ff34c26e26be4442babdc547dffb0b8c2021-12-01T04:57:33ZInvestigating the spatiotemporal dynamic evolution and driving factors of wastewater treatment efficiency in the context of China’s River Chief system1470-160X10.1016/j.ecolind.2021.107991https://doaj.org/article/ff34c26e26be4442babdc547dffb0b8c2021-10-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21006567https://doaj.org/toc/1470-160XInvestigating the wastewater treatment efficiency (WTE) is an important component in fostering sustainable water management. This study proposes an environmental production technology framework based on eutrophication levels and heavy metal concentrations caused by wastewater discharge. The slack based measure (SBM) model with undesirable outputs and logarithmic mean Divisia index (LMDI) decomposition model are developed to quantitatively investigate the spatiotemporal distribution and driving effects in urban wastewater treatment under the context of China's River Chief system. Results showed that the distribution curve of WTE changes from double peaks to a single peak, and WTE value appears a decreasing (2001–2010)-increasing (2011–2020) trend. Provinces with high WTE are mainly distributed in eastern China, with low WTE are in western China. Overall, wastewater treatment efficiency has been generally improved through the implementation of China’s River Chief system. And provinces with low WTE are shrinking, with high WTE are extending from southeastern to northwestern China. To achieve a simultaneous improvement in wastewater treatment efficiency, it is necessary to improve the WTE in corresponding provinces that belong to barely effective development and inefficient development. Meanwhile, provinces in superiorly effective development and slightly effective development should be encouraged to maintain their high-level WTE.Zhengxian ZhangYun LiXiaogang WangYuan XuYipeng LiaoZhiyong WanNanbo TangElsevierarticleWastewater treatment efficiencyDriving effectsData envelopment analysisLogarithmic mean Divisia indexFive-Year PlanRiver Chief systemEcologyQH540-549.5ENEcological Indicators, Vol 129, Iss , Pp 107991- (2021)
institution DOAJ
collection DOAJ
language EN
topic Wastewater treatment efficiency
Driving effects
Data envelopment analysis
Logarithmic mean Divisia index
Five-Year Plan
River Chief system
Ecology
QH540-549.5
spellingShingle Wastewater treatment efficiency
Driving effects
Data envelopment analysis
Logarithmic mean Divisia index
Five-Year Plan
River Chief system
Ecology
QH540-549.5
Zhengxian Zhang
Yun Li
Xiaogang Wang
Yuan Xu
Yipeng Liao
Zhiyong Wan
Nanbo Tang
Investigating the spatiotemporal dynamic evolution and driving factors of wastewater treatment efficiency in the context of China’s River Chief system
description Investigating the wastewater treatment efficiency (WTE) is an important component in fostering sustainable water management. This study proposes an environmental production technology framework based on eutrophication levels and heavy metal concentrations caused by wastewater discharge. The slack based measure (SBM) model with undesirable outputs and logarithmic mean Divisia index (LMDI) decomposition model are developed to quantitatively investigate the spatiotemporal distribution and driving effects in urban wastewater treatment under the context of China's River Chief system. Results showed that the distribution curve of WTE changes from double peaks to a single peak, and WTE value appears a decreasing (2001–2010)-increasing (2011–2020) trend. Provinces with high WTE are mainly distributed in eastern China, with low WTE are in western China. Overall, wastewater treatment efficiency has been generally improved through the implementation of China’s River Chief system. And provinces with low WTE are shrinking, with high WTE are extending from southeastern to northwestern China. To achieve a simultaneous improvement in wastewater treatment efficiency, it is necessary to improve the WTE in corresponding provinces that belong to barely effective development and inefficient development. Meanwhile, provinces in superiorly effective development and slightly effective development should be encouraged to maintain their high-level WTE.
format article
author Zhengxian Zhang
Yun Li
Xiaogang Wang
Yuan Xu
Yipeng Liao
Zhiyong Wan
Nanbo Tang
author_facet Zhengxian Zhang
Yun Li
Xiaogang Wang
Yuan Xu
Yipeng Liao
Zhiyong Wan
Nanbo Tang
author_sort Zhengxian Zhang
title Investigating the spatiotemporal dynamic evolution and driving factors of wastewater treatment efficiency in the context of China’s River Chief system
title_short Investigating the spatiotemporal dynamic evolution and driving factors of wastewater treatment efficiency in the context of China’s River Chief system
title_full Investigating the spatiotemporal dynamic evolution and driving factors of wastewater treatment efficiency in the context of China’s River Chief system
title_fullStr Investigating the spatiotemporal dynamic evolution and driving factors of wastewater treatment efficiency in the context of China’s River Chief system
title_full_unstemmed Investigating the spatiotemporal dynamic evolution and driving factors of wastewater treatment efficiency in the context of China’s River Chief system
title_sort investigating the spatiotemporal dynamic evolution and driving factors of wastewater treatment efficiency in the context of china’s river chief system
publisher Elsevier
publishDate 2021
url https://doaj.org/article/ff34c26e26be4442babdc547dffb0b8c
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