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Modeling the spatiotemporal dynamics of industrial sulfur dioxide emissions in China based on DMSP-OLS nighttime stable light data
Due to the rapid economic growth and the heavy reliance on fossil fuels, China has become one of the countries with the highest sulfur dioxide (SO2) emissions, which pose a severe challenge to human health and the sustainable development of social economy. In order to cope with the serious problem o...
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| 主要な著者: | , , , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science (PLoS)
2020-01-01
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| シリーズ: | PLoS ONE |
| オンライン･アクセス: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7482937/?tool=EBI |
| タグ: |
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