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

и другие.

Sustainability, Год журнала: 2025, Номер 17(4), С. 1742 - 1742

Опубликована: Фев. 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.

Язык: 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

и другие.

Sustainability, Год журнала: 2025, Номер 17(4), С. 1742 - 1742

Опубликована: Фев. 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.

Язык: Английский

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