Specification of PM2.5 transmission characteristics is important for pollution control and policymaking. We apply higher-order organization of complex networks to identify major potential PM2.5 contributors and PM2.5 transport pathways of a network of 189 cities in China. The network we create in this paper consists of major cities in China and contains information on meteorological conditions of wind speed and wind direction, data on geographic distance, mountains, and PM2.5 concentrations. We aim to reveal PM2.5 mobility between cities in China. Two major conclusions are revealed through motif analysis of complex networks. First, major potential PM2.5 pollution contributors are identified for each cluster by one motif, which reflects movements from source to target. Second, transport pathways of PM2.5 are revealed by another motif, which reflects transmission routes. To our knowledge, this is the first work to apply higher-order network analysis to study PM2.5 transport.
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- Higher-Order Network Analysis of Fine Particulate Matter (PM 2.5) Transport in China at City Level
- Wang, Yufang (Author)
- Wang, Haiyan (Author)
- Chang, Shuhua (Author)
- Liu, Maoxing (Author)
- New College of Interdisciplinary Arts and Sciences (Contributor)
- Digital object identifier: 10.1038/s41598-017-13614-7
- Identifier TypeInternational standard serial numberIdentifier Value2045-2322
- The final version of this article, as published in Scientific Reports, can be viewed online at: http://www.nature.com/articles/s41598-017-13614-7, opens in a new window
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Wang, Y., Wang, H., Chang, S., & Liu, M. (2017). Higher-order Network Analysis of Fine Particulate Matter (PM 2.5) Transport in China at City Level. Scientific Reports, 7(1). doi:10.1038/s41598-017-13614-7