Spatiotemporal patterns of global air pollution: A multi-scale landscape analysis based on dust and sea-salt removed PM2.5 data
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DOI: 10.1016/j.jclepro.2019.119887
Abstract: Abstract: Spatiotemporal patterns of global air pollution are of great significance to environmental management and public health. Studies have revealed the changes in the concentration of dust and sea-salt removed fine particulate matter (PM2.5) pollution… read more here.
Keywords: pollution; spatiotemporal patterns; landscape; air ... See more keywords