title: Detecting the causality influence of individual meteorological factors on local PM2.5concentration in the Jing-Jin-Ji region.
abstract: Due to complicated interactions in the atmospheric environment, quantifying the influence of individual meteorological factors on local PM2.5concentration remains challenging. The Beijing-Tianjin-Hebei (short for Jing-Jin-Ji) region is infamous for its serious air pollution. To improve regional air quality, characteristics and meteorological driving forces for PM2.5concentration should be better understood. This research examined seasonal variations of PM2.5concentration within the Jing-Jin-Ji region and extracted meteorological factors strongly correlated with local PM2.5concentration. Following this, a convergent cross mapping (CCM) method was employed to quantify the causality influence of individual meteorological factors on PM2.5concentration. The results proved that the CCM method was more likely to detect mirage correlations and reveal quantitative influences of individual meteorological factors on PM2.5concentration. For the Jing-Jin-Ji region, the higher PM2.5concentration, the stronger influences meteorological factors exert on PM2.5concentration. Furthermore, this research suggests that individual meteorological factors can influence local PM2.5concentration indirectly by interacting with other meteorological factors. Due to the significant influence of local meteorology on PM2.5concentration, more emphasis should be given on employing meteorological means for improving local air quality.
authors.affiliation: College of Global Change and Earth System Science, Beijing Normal University, 19 Xinjiekouwai Street, Haidian, Beijing 100875, P. R. China.|Joint Center for Global Change Studies, Beijing 100875, China.
authors.forename: Ziyue
authors.initials: Z
authors.lastname: Chen
authors.affiliation: Department of Earth System Science, Tsinghua University, Beijing 100084, China.
authors.forename: Jun
authors.initials: J
authors.lastname: Cai
authors.affiliation: National Engineering Research Center for Information Technology in Agriculture, 11 Shuguang Huayuan Middle Road, Beijing 100097, China.
authors.forename: Bingbo
authors.initials: B
authors.lastname: Gao
authors.affiliation: College of Global Change and Earth System Science, Beijing Normal University, 19 Xinjiekouwai Street, Haidian, Beijing 100875, P. R. China.|Department of Earth System Science, Tsinghua University, Beijing 100084, China.
authors.forename: Bing
authors.initials: B
authors.lastname: Xu
authors.affiliation: Department of Earth System Science, Tsinghua University, Beijing 100084, China.
authors.forename: Shuang
authors.initials: S
authors.lastname: Dai
authors.affiliation: College of Global Change and Earth System Science, Beijing Normal University, 19 Xinjiekouwai Street, Haidian, Beijing 100875, P. R. China.
authors.forename: Bin
authors.initials: B
authors.lastname: He
authors.affiliation: National Engineering Research Center for Information Technology in Agriculture, 11 Shuguang Huayuan Middle Road, Beijing 100097, China.
authors.forename: Xiaoming
authors.initials: X
authors.lastname: Xie