气候变化领域集成服务门户(CCPortal): Assessing the determinants of scale effects on carbon efficiency in China's wastewater treatment plants using causal machine learning

CCPortal

DOI	10.1016/j.resconrec.2024.107432
	Assessing the determinants of scale effects on carbon efficiency in China's wastewater treatment plants using causal machine learning
	Wei, Renke; Hu, Yuchen; Yu, Ke; Zhang, Lujing; Liu, Gang; Hu, Chengzhi; Qu, Shen; Qu, Jiuhui
发表日期	2024
ISSN	0921-3449
EISSN	1879-0658
起始页码	203
卷号	203
英文摘要	The debate over the merits of centralized versus decentralized wastewater treatment plants (WWTPs) has gained prominence considering pressing sustainable development objectives and the need to reduce greenhouse gas (GHG) emissions. This highlights the importance of innovative analytical tools to shape forthcoming policies. Using causal machine learning, we evaluate the impact of WWTP scale on GHG emission intensities and investigate contributing factors. Results show GHG intensity typically decreases as WWTPs scale up. However, this trend varies based on regional environmental, economic, and infrastructure elements. Specifically, regions with fewer industrial wastewater contributions, increased rainwater composition, and elevated temperatures show smaller scale effects. This suggests limited GHG reductions from merely expanding WWTPs in such areas, as the benefits of handling fluctuating inflow volumes, tackling heavy pollution, and operating in cooler conditions offered by larger WWTPs are compromised. This research lays the foundation for comprehensive models promoting sustainable wastewater treatment strategies.
英文关键词	Wastewater treatment plants (WWTPs); Greenhouse gas (GHG); Causal machine learning; Scale effect
语种	英语
WOS研究方向	Engineering ; Environmental Sciences & Ecology
WOS类目	Engineering, Environmental ; Environmental Sciences
WOS记录号	WOS:001174077800001
来源期刊	RESOURCES CONSERVATION AND RECYCLING
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/292593
作者单位	Chinese Academy of Sciences; Research Center for Eco-Environmental Sciences (RCEES); Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; Beijing Institute of Technology; Beijing Institute of Technology; Chinese Academy of Sciences; Research Center for Eco-Environmental Sciences (RCEES)
推荐引用方式 GB/T 7714	Wei, Renke,Hu, Yuchen,Yu, Ke,et al. Assessing the determinants of scale effects on carbon efficiency in China's wastewater treatment plants using causal machine learning[J],2024,203.
APA	Wei, Renke.,Hu, Yuchen.,Yu, Ke.,Zhang, Lujing.,Liu, Gang.,...&Qu, Jiuhui.(2024).Assessing the determinants of scale effects on carbon efficiency in China's wastewater treatment plants using causal machine learning.RESOURCES CONSERVATION AND RECYCLING,203.
MLA	Wei, Renke,et al."Assessing the determinants of scale effects on carbon efficiency in China's wastewater treatment plants using causal machine learning".RESOURCES CONSERVATION AND RECYCLING 203(2024).