Exploring the Spatio-Temporal Dynamics and Influencing Factors of Pm2.5 in China's Prefecture-Level and Above Cities DOI
Long Chen, Yanyun Nian, Minglu Che

et al.

Published: Jan. 1, 2024

Language: Английский

Understanding the Dynamics of PM2.5 Concentration Levels in China: A Comprehensive Study of Spatio-Temporal Patterns, Driving Factors, and Implications for Environmental Sustainability DOI Open Access
Yuxin Miao, Chunmei Geng, Yuanyuan Ji

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(4), P. 1742 - 1742

Published: Feb. 19, 2025

Over the past decade, China’s air quality has improved significantly. To further mitigate concentration levels of fine particulate matter (PM2.5), this study analyzed spatio-temporal evolution PM2.5 concentrations from 2012 to 2022. Furthermore, integrated generalized additive model (GAM) and GeoDetector investigate main driving factors explored complex response relationships between these concentrations. The results showed following: (1) annual average in China peaked 2013. reductions each city ranged 1.48 7.33 μg/m3. In year, were always consistently higher north east lowest northeast southwest China. (2) terms spatial distribution, North Plain, Middle Lower Yangtze River Sichuan Basin exhibited highest high aggregation characteristics. (3) analysis identified SO2, NO2, CO meteorological conditions as important influencing differentiation PM2.5. GAM that factors, such temperature, atmospheric pressure, wind speed, precipitation, generally had specific inflection points their effects on levels. relationship with gross domestic product population density followed an inverted U shape. under land use types cropland, barren, impervious, water than others. decreased significantly all types. Our work can be used a strong basis for providing insights crucial developing long-term pollution control strategies promoting environmental sustainability.

Language: Английский

Citations

1

Ground-Based LiDAR Analysis of Persistent Haze Pollution Events During Winter 2022 in Luohe City DOI Creative Commons
Wenyu Bai, Ran Dai, Chunmei Geng

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(5), P. 786 - 786

Published: Feb. 24, 2025

Aerosol transport flux LiDAR was used to observe heavy pollution events in Luohe City during January 2022 and combined with monitoring data of ground meteorological parameters conventional pollutants analyze the vertical optical properties aerosols, sources, causes pollution. Two (January 2nd–5th 13th–20th, 2022) were effectively monitored divided into four phases according PM2.5 concentrations relative humidity (RH). The results showed that all PM2.5/PM10 values above 0.5 throughout pollution, indicating a predominance fine particulate matter. Analysis distribution aerosol inversion layer distributed below 1 km; profile extinction coefficient dominated by local emissions, while contribution regional transmission 2nd 5th also quite prominent; kriging interpolation this covered most central eastern regions China 2022. there three main channels PM2.5: east (Zhoukou, Lu–Wan–Yu–Su junction), northeast (Lu–Yu southeast (YRD). analysis clustered backward trajectories, potential source function (PSCF), concentration-weighted trajectory (CWT) models sources mainly junction zones as well Shaanxi Province, PSCF 0.7 CWT 70 μg/m3. This study could provide scientific basis for prevention control

Language: Английский

Citations

0

Differential Urban-Rural Inequalities and Driving Mechanisms of Pm2.5 Exposure in Urban Agglomerations - Evidence from the Central Plains Urban Agglomeration, China DOI
Xiaofan Sun, Chengyuan Wang,

Yaqin Ji

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0

Exploring the Spatio-Temporal Dynamics and Influencing Factors of Pm2.5 in China's Prefecture-Level and Above Cities DOI
Long Chen, Yanyun Nian, Minglu Che

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0