Air Pollutant Emission Inventory of Waste-to-Energy Plants in China and Prediction by the Artificial Neural Network Approach-Reference-Cited by-同舟云学术

Air Pollutant Emission Inventory of Waste-to-Energy Plants in China and Prediction by the Artificial Neural Network Approach

Published:2022-09-29 Issue:2 Volume:57 Page:874-883
ISSN:0013-936X
Container-title:Environmental Science & Technology
language:en
Short-container-title:Environ. Sci. Technol.

Author:

Ma Wenchao¹²^ORCID,Cui Jicui¹,Abdoulaye Boré¹,Wang Yuan¹,Du Huibin³,Bourtsalas Athanasios C.²,Chen Guanyi¹⁴

Affiliation:

1. School of Environmental Science and Engineering/Key Laboratory of Efficient Utilization of Low and Medium Grade Energy (MoE)/Tianjin Key Lab of Biomass-wastes Utilization, Tianjin University, Tianjin 300072, China

2. Earth Engineering Center, Columbia University, New York, New York 10027, United States

3. College of Management and Economics, Tianjin University, Tianjin 300072, China

4. School of Science, Tibet University, Lhasa 850012, China

Funder

Ministry of Science and Technology of the People's Republic of China

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

Environmental Chemistry,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.est.2c01087

Reference53 articles.

1. Persistence of engineered nanoparticles in a municipal solid-waste incineration plant

2. Municipal solid waste management in China: Status, problems and challenges

3. Ministry of Housing and Urban-Rural Development of the People’s Republic of China (MOHURD). The development plan for urban domestic waste classification and treatment facilities in the 14th five year plan, 2021 (in Chinese).

4. Environmental regulation and environmental productivity: The case of China

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