Higher-order Network Analysis of Fine Particulate Matter (PM 2.5) Transport in China at City Level.
Ontology highlight
ABSTRACT: Specification of PM 2.5 transmission characteristics is important for pollution control and policymaking. We apply higher-order organization of complex networks to identify major potential PM 2.5 contributors and PM 2.5 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 PM 2.5 concentrations. We aim to reveal PM 2.5 mobility between cities in China. Two major conclusions are revealed through motif analysis of complex networks. First, major potential PM 2.5 pollution contributors are identified for each cluster by one moti
SUBMITTER: Wang Y
PROVIDER: S-EPMC5643331 | biostudies-literature | 2017 Oct
REPOSITORIES: biostudies-literature
ACCESS DATA