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污水处理厂的碳排放效率评估：来自中国的证据。

Carbon emission efficiency evaluation of wastewater treatment plants: evidence from China.

机构信息

School of Environment & Natural Resources, Renmin University of China, No. 59 Zhongguancun Street, Haidian District Beijing, Beijing, 100872, China.

School of Mathematics, Hefei University of Technology, Hefei, 230009, Anhui, China.

出版信息

Environ Sci Pollut Res Int. 2023 Jul;30(31):76606-76616. doi: 10.1007/s11356-023-27685-9. Epub 2023 May 27.

DOI:10.1007/s11356-023-27685-9
PMID:37243766
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10221752/
Abstract

A scientific evaluation of the carbon emission efficiency is crucial for ensuring the sustainable development of wastewater treatment plants (WWTPs). In this paper, we applied a non-radial data envelopment analysis (DEA) model to calculate the carbon emission efficiency of 225 WWTPs located in China. The results showed that the average carbon emission efficiency of China's WWTPs was 0.59, indicating that the efficiencies of most samples still require improvement. The carbon emission efficiency of WWTPs from 2015 to 2017 decreased because of the decrease in technology efficiency. Among the influencing factors, different treating scales had positive impact on carbon emission efficiency improvement. WWTPs with anaerobic oxic process and the first-class A standard were likely to have higher carbon emission efficiency in the 225 WWTPs. By incorporating direct and indirect carbon emissions into WWTP efficiency evaluation, this study helped decision-makers and related water authorities to better understand the contribution of WWTPs to the aquatic and atmospheric environments.

摘要

科学评估污水处理厂（WWTP）的碳排放效率对于确保其可持续发展至关重要。本文应用非径向数据包络分析（DEA）模型，对中国 225 个 WWTP 的碳排放效率进行了测算。结果表明，中国 WWTP 的平均碳排放效率为 0.59，表明大多数样本的效率仍有待提高。2015 年至 2017 年，由于技术效率的降低，WWTP 的碳排放效率有所下降。在影响因素中，不同处理规模对提高碳排放效率有积极影响。在 225 个 WWTP 中，采用厌氧好氧工艺和一级 A 标准的 WWTP 更有可能具有更高的碳排放效率。本研究将直接和间接碳排放纳入 WWTP 效率评估中，帮助决策者和相关水务部门更好地了解 WWTP 对水和大气环境的贡献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25ea/10221752/e12cd04ff83d/11356_2023_27685_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25ea/10221752/336dcc59329b/11356_2023_27685_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25ea/10221752/6b5f5e8286f4/11356_2023_27685_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25ea/10221752/8bcf00ee6fdd/11356_2023_27685_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25ea/10221752/1af9e0b11aee/11356_2023_27685_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25ea/10221752/c48ccec68cde/11356_2023_27685_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25ea/10221752/e12cd04ff83d/11356_2023_27685_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25ea/10221752/336dcc59329b/11356_2023_27685_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25ea/10221752/6b5f5e8286f4/11356_2023_27685_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25ea/10221752/8bcf00ee6fdd/11356_2023_27685_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25ea/10221752/1af9e0b11aee/11356_2023_27685_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25ea/10221752/c48ccec68cde/11356_2023_27685_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25ea/10221752/e12cd04ff83d/11356_2023_27685_Fig6_HTML.jpg

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