| Issue |
E3S Web Conf.
Volume 257, 2021
5th International Workshop on Advances in Energy Science and Environment Engineering (AESEE 2021)
|
|
|---|---|---|
| Article Number | 03009 | |
| Number of page(s) | 8 | |
| Section | Environmental Monitoring Repair and Pollution Control | |
| DOI | https://doi.org/10.1051/e3sconf/202125703009 | |
| Published online | 12 May 2021 | |
Evaluation of the effect of regional collaborative management of water pollution in Nanjing-Zhenjiang-Yangzhou metropolitan area based on grey theory
1
College of Economics and Management, Nanjing University of Aeronautics and Astronautics Nanjing, Jiangsu, China.
2
College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China.
3
College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China.
a* 393264219@qq.com
b 1308647285@qq.com
c nancyzheng@nuaa.edu.cn
This paper mainly focuses on the current situation of collaborative water pollution management in the Nanjing-Zhenjiang-Yangzhou Region metropolitan area. For this purpose, a synthetical, innovative and more comprehensive indicator system, based on PSR theory and the degree of regional synergy, which is also suitable for further evaluations towards regional collaborative water pollution management, was constructed by analyzing the existing theories and programs of collaborative regional management. The indicator weights are determined by fuzzy hierarchical analysis. The current situation of water pollution cooperative management in Nanjing-Zhenjiang-Yangzhou metropolitan area is evaluated as good with a probability of 0.9453 in the third grey class by a grey clustering model combining the data from the annual environmental bulletin of the Environmental Protection Bureau of the three cities and 2018 Nanjing Yearbook etc. Finally, several policy suggestions are given.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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