Spatiotemporal dynamic and driving mechanisms of PM2.5 concentration in the Beijing-Tianjin-Hebei urban agglomeration

doi:10.7523/j.ucas.2025.063

Abstract

Abstract: PM_2.5 pollution causes severe harm to the atmospheric environment and human health, yet the differences in PM_2.5 pollution characteristics and driving mechanisms between the heating season and annual periods remain insufficiently studied. Based on remotely sensed PM_2.5 concentration data from 2000 to 2021 in the Beijing-Tianjin-Hebei region, this study uses Mann-Kendall (MK) trend test, Pettitt test, stepwise regression, and Variance Partitioning Analysis (VPA) to systematically analyze the spatiotemporal evolution characteristics of PM_2.5 concentrations and differences in their driving mechanisms across annual, heating season, and non-heating season temporal scales. The results show that over the 21-year study period, the annual average PM_2.5 concentration in the Beijing-Tianjin-Hebei region exhibited an initial increase followed by a subsequent decrease; heating season PM_2.5 concentrations were overall 3.3% to 45.1% higher than the annual average. Spatially, PM_2.5 concentrations displayed a significant “high in the south and low in the north” distribution pattern with distinct concentration gradients. Regarding driving mechanisms, socioeconomic factors dominated across all time scales, with the proportion of secondary industry and population density having the most significant influence. The interaction between population density and temperature exhibited the strongest effect, which was more pronounced during the heating season; a relatively significant interaction also existed between the proportion of secondary industry and temperature, but this effect was slightly weaker during the heating season compared to the non-heating season. Based on these findings, it is recommended to strengthen precise pollution control during the heating season, establish time-specific response control mechanisms, and improve the regional collaborative governance system.

Key words: Beijing-Tianjin-Hebei urban agglomeration, air pollution, fog and haze, sustainable urban development

CLC Number:

X513

XIAO Rui, HUANG Qingxu, YU Jiaui, WANG Yijin, SUI Yingfei, GUO Wenda. Spatiotemporal dynamic and driving mechanisms of PM_2.5concentration in the Beijing-Tianjin-Hebei urban agglomeration[J]. Journal of University of Chinese Academy of Sciences, DOI: 10.7523/j.ucas.2025.063.

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Spatiotemporal dynamic and driving mechanisms of PM_2.5concentration in the Beijing-Tianjin-Hebei urban agglomeration

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