Machine Learning Provides Opportunities to Recognize Greenhouse Gas Emissions from Water at a Large Scale-Reference-Cited by-同舟云学术

Machine Learning Provides Opportunities to Recognize Greenhouse Gas Emissions from Water at a Large Scale

Published:2023-08-23 Issue: Volume: Page:
ISSN:2690-0637
Container-title:ACS ES&T Water
language:en
Short-container-title:ACS EST Water

Author:

Deng Peng¹,Hu Xiangang¹^ORCID,Mu Li²

Affiliation:

1. Key Laboratory of Pollution Processes and Environmental Criteria (Ministry of Education), Carbon Neutrality Interdisciplinary Science Centre, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China

2. Tianjin Key Laboratory of Agro-Environment and Product Safety, Key Laboratory for Environmental Factors Controlling Agro-Product Quality Safety (Ministry of Agriculture and Rural Affairs), Institute of Agro-Environmental Protection, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Carbon Neutrality Interdisciplinary Science Centre

Publisher

American Chemical Society (ACS)

Subject

Water Science and Technology,Environmental Chemistry,Chemistry (miscellaneous),Chemical Engineering (miscellaneous)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsestwater.3c00290

Reference59 articles.

1. Anthropogenic-estuarine interactions cause disproportionate greenhouse gas production: A review of the evidence base