Litcius/Paper detail

Heterogeneity and the determinants of PM2.5 in the Yangtze River Economic Belt

Siyou Xia, Xiaojie Liu, Qing Liu, Yannan Zhou, Yang Yu

2022Scientific Reports17 citationsDOIOpen Access PDF

Abstract

Abstract Haze has reached epidemic levels in many Chinese cities in recent years. Few studies have explored the determinants and heterogeneity of PM 2.5 . This paper investigates the spatiotemporal characteristics of PM 2.5 through spatial analytical methods based on aerosol optical depth data from the Yangtze River Economic Belt (YREB) between 2000 and 2017. Geographically weighted regression and geodetector models were applied to assess the heterogeneity of key factors influencing PM 2.5 . The results indicate that the annual concentrations of PM 2.5 in the YREB were 23.49–37.37 μg/m 3 , with an initial increase and a later decrease. PM 2.5 pollution showed a diagonal high spatial distribution pattern in the northeast and a low spatial distribution in the southwest, as well as a noticeable spatial convergence. The spatial variability of PM 2.5 was enlarged, and its main fractal dimension was in the northeast-southwest direction. There were clear spatiotemporal variations in the impacts of natural and anthropogenic factors on PM 2.5 . Our findings contribute to a better understanding of the impact mechanisms of PM 2.5 and the geographic factors that form persistent and highly polluted areas and imply that more specific coping strategies need to be implemented in various areas toward successful particulate pollution prevention and control.

Topics & Concepts

Spatial heterogeneitySpatial distributionEnvironmental scienceYangtze riverGeographically Weighted RegressionGeographyPollutionDistribution (mathematics)Physical geographyUrban agglomerationCommon spatial patternGeneralized additive modelEcologyEconomic geographyChinaStatisticsRemote sensingBiologyMathematicsArchaeologyMathematical analysisAir Quality and Health ImpactsUrban Transport and AccessibilityAtmospheric chemistry and aerosols