Investigating the spatiotemporal dynamic evolution and driving factors of wastewater treatment efficiency in the context of China’s River Chief system
[Display omitted] •Investigating the urban wastewater governance under the context of China's River Chief system.•Quantifying the spatiotemporal distribution and driving effects in wastewater governance efficiency.•The SBM-DEA model with undesirable outputs and LMDI decomposition model are deve...
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| Published in | Ecological indicators Vol. 129; p. 107991 |
|---|---|
| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
01.10.2021
Elsevier |
| Subjects | |
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| Abstract | [Display omitted]
•Investigating the urban wastewater governance under the context of China's River Chief system.•Quantifying the spatiotemporal distribution and driving effects in wastewater governance efficiency.•The SBM-DEA model with undesirable outputs and LMDI decomposition model are developed.•Wastewater treatment efficiency is improved through the implementation 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 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. |
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| AbstractList | 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. [Display omitted] •Investigating the urban wastewater governance under the context of China's River Chief system.•Quantifying the spatiotemporal distribution and driving effects in wastewater governance efficiency.•The SBM-DEA model with undesirable outputs and LMDI decomposition model are developed.•Wastewater treatment efficiency is improved through the implementation 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 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. |
| ArticleNumber | 107991 |
| Author | Zhang, Zhengxian Li, Yun Wan, Zhiyong Xu, Yuan Wang, Xiaogang Tang, Nanbo Liao, Yipeng |
| Author_xml | – sequence: 1 givenname: Zhengxian surname: Zhang fullname: Zhang, Zhengxian email: zhangzx@whu.edu.cn organization: State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 210029, China – sequence: 2 givenname: Yun surname: Li fullname: Li, Yun email: yli@nhri.cn organization: State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 210029, China – sequence: 3 givenname: Xiaogang surname: Wang fullname: Wang, Xiaogang email: xgwang@nhri.cn organization: State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 210029, China – sequence: 4 givenname: Yuan surname: Xu fullname: Xu, Yuan organization: State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China – sequence: 5 givenname: Yipeng surname: Liao fullname: Liao, Yipeng organization: State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China – sequence: 6 givenname: Zhiyong surname: Wan fullname: Wan, Zhiyong organization: State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China – sequence: 7 givenname: Nanbo surname: Tang fullname: Tang, Nanbo organization: State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China |
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| Keywords | Wastewater treatment efficiency Logarithmic mean Divisia index River Chief system Five-Year Plan Driving effects Data envelopment analysis |
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•Investigating the urban wastewater governance under the context of China's River Chief system.•Quantifying the spatiotemporal distribution... Investigating the wastewater treatment efficiency (WTE) is an important component in fostering sustainable water management. This study proposes an... |
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| SubjectTerms | China Data envelopment analysis Driving effects eutrophication Five-Year Plan heavy metals Logarithmic mean Divisia index production technology River Chief system rivers wastewater wastewater treatment Wastewater treatment efficiency water management |
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| Title | Investigating the spatiotemporal dynamic evolution and driving factors of wastewater treatment efficiency in the context of China’s River Chief system |
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