Modeling the spatiotemporal dynamics of industrial sulfur dioxide emissions in China based on DMSP-OLS nighttime stable light data-Reference-Cited by-同舟云学术

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Modeling the spatiotemporal dynamics of industrial sulfur dioxide emissions in China based on DMSP-OLS nighttime stable light data

Published:2020-09-10 Issue:9 Volume:15 Page:e0238696
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Yue Yanlin^ORCID,Wang Zheng,Tian Li,Zhao Jincai,Lai Zhizhu,Ji Guangxing,Xia Haibin

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Natural Science Foundation of Shanghai, China

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference60 articles.

1. Effects of the meteorological variability on regional air quality in East Asia;JI Jeong;Atmospheric Environment,2013

2. Emission of sulfur dioxide from polyurethane foam and respiratory health effects;WJ Xu;Environmental Pollution,2018

3. The Equilibrium Climate Response to Sulfur Dioxide and Carbonaceous Aerosol Emissions from East and Southeast Asia;BS Grandey;Geophysical Research Letters,2018

4. Acid rain: a serious regional environmental problem;GE Likens;Science,1974

5. Sulfur dioxide emissions in Asia in the period 1985–1997;DG Streets;Atmospheric Environment,2000

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3. Multi-scale analysis of China’s transportation carbon emissions based on nighttime light data;Environmental Science and Pollution Research;2023-02-24

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