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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 (SO(2)) emissions, which pose a severe challenge to human health and the sustainable development of social economy. In order to cope with the serious problem...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7482937/ https://www.ncbi.nlm.nih.gov/pubmed/32911520 http://dx.doi.org/10.1371/journal.pone.0238696 |