Work

From Meteorological Perturbation Mechanisms to Sewer Methane Forecasting: A Causal and Machine Learning Approach

Year: 2025

Type: article

Source: ACS ES&T Engineering

DOI: 10.1021/acsestengg.5c00822

Authors: Jia-ji Chen, Hong-Cheng Wang, Wan-Xin Yin, Yu-Qi Wang, Jia-qiang Lv, Ai-Jie Wang

Institutions: Chinese Academy of Sciences, Harbin Institute of Technology, Sino-Danish Centre for Education and Research, Research Center for Eco-Environmental Sciences, University of Chinese Academy of Sciences, Liaoning University

Language: English

Topic: Atmospheric and Environmental Gas Dynamics

Subfield: Global and Planetary Change

Field: Environmental Science

Domain: Physical Sciences

SDGs: Climate action, Sustainable cities and communities, Clean water and sanitation

Open Access status: closed

Funders: National Natural Science Foundation of China, National Key Research and Development Program of China

Awards: G4359962322, G6052622158, G6208504784

OpenAlex ID: W4416977906

FWCI: 0.847

Cites: 62

Cited by: 2

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