Driving Force of Meteorology and Emissions on PM2.5 Concentration in Major Urban Agglomerations in China DOI Creative Commons
Jiqiang Niu, Hongrui Li, Xiaoyong Liu

и другие.

Atmosphere, Год журнала: 2024, Номер 15(12), С. 1499 - 1499

Опубликована: Дек. 16, 2024

Air pollution is influenced by a combination of pollutant emissions and meteorological conditions. Anthropogenic conditions are the two main causes atmospheric pollution, contribution meteorology to reduction PM2.5 concentrations across country has not yet been comprehensively examined. This study used Kolmogorov–Zurbenko (KZ) filter random forest (RF) model decompose reconstruct time series in five major urban agglomerations China, analyzing impact factors on concentrations. From 2015 2021, significantly decreased all agglomerations, with annual averages dropping approximately 50% Beijing–Tianjin–Hebei (BTH), Yangtze River Delta (YRD), Pearl (PRD), Central Plain (CP), Chengdu–Chongqing (CC). was due both favorable emission reductions. The KZ effectively separated series, RF achieved high squared correlation coefficient (R2) values between predicted observed values, ranging from 0.94 0.98. Initially, had positive reduction, indicating unfavorable conditions, but this gradually turned negative, By rates BTH, YRD, PRD, CP, CC changed 14.3%, 16.9%, 7.2%, 12.2%, 11.5% −36.5%, −31.5%, −26.9%, −30.3%, −23.5%, respectively. Temperature pressure most significant effects decline BTH CP after 2017 indicated that control measures were taking effect. confirms effective combined jointly contributed improvement air quality.

Язык: Английский

Preface to the Special Topic on Air Pollution Complex Research in China: Recent Advances DOI Creative Commons
Tong Zhu, Mingjin Tang, Hong Liao

и другие.

Advances in Atmospheric Sciences, Год журнала: 2025, Номер unknown

Опубликована: Янв. 24, 2025

Язык: Английский

Процитировано

0
Identifications and analyses of characteristics for sea and land Breeze circulations in the Bohai Rim Region DOI
Jie Cao, Zhifan Zhu, Haishan Chen

и другие.

Atmospheric Research, Год журнала: 2025, Номер 318, С. 108011 - 108011

Опубликована: Фев. 22, 2025

Язык: Английский

Процитировано

0
The role of atmospheric Volatile Organic Compounds (VOCs) in ozone formation around China’s largest plywood manufacturer DOI
Ningjie Li, Ting Sun, Stephen M. Mudge

и другие.

Environmental Pollution, Год журнала: 2025, Номер 373, С. 126197 - 126197

Опубликована: Апрель 6, 2025

Язык: Английский

Процитировано

0
Assessing the PM2.5–O3 Correlation and Unraveling Their Drivers in Urban Environment: Insights from the Bohai Bay Region, China DOI Creative Commons
Yan Nie, Yongxin Yan, Yuanyuan Ji

и другие.

Atmosphere, Год журнала: 2025, Номер 16(5), С. 512 - 512

Опубликована: Апрель 28, 2025

Understanding the correlation between PM2.5 and O3 is critical for complex air pollution control. This study comprehensively analyzed characteristics, uncovered spatiotemporal variations in their correlation, investigated driving mechanisms of association Dongying, a typical petrochemical city China’s Bohai Bay region. Results showed that PM2.5–O3 Dongying exhibited significant seasonal variations, spatial patterns, concentration threshold effects from 2017 to 2023. strong positive correlations summer, negative winter, weak spring/autumn, with strongest links western areas. The occurred summer when ≤ 35 μg·m−3 >160 μg·m−3, while was winter > 75 100 μg·m−3. Meteorological conditions (T 20 °C, RH < 30%, wind speed 1.73 m/s, Ox 125 μg·m−3) non-sea-breeze periods enhanced correlation. During four episodes, propelled by synchronous increases secondary components via shared precursors. In autumn, positivity resulted component–O3 (r 0.7) dominance formation PM2.5. stemmed primary emissions inhibiting photochemistry. Random forest analysis Ox, RH, T drove photochemistry whereas NO titration caused offers guidance collaborative control cities

Язык: Английский

Процитировано

0
Driving Force of Meteorology and Emissions on PM2.5 Concentration in Major Urban Agglomerations in China DOI Creative Commons
Jiqiang Niu, Hongrui Li, Xiaoyong Liu

и другие.

Atmosphere, Год журнала: 2024, Номер 15(12), С. 1499 - 1499

Опубликована: Дек. 16, 2024

Air pollution is influenced by a combination of pollutant emissions and meteorological conditions. Anthropogenic conditions are the two main causes atmospheric pollution, contribution meteorology to reduction PM2.5 concentrations across country has not yet been comprehensively examined. This study used Kolmogorov–Zurbenko (KZ) filter random forest (RF) model decompose reconstruct time series in five major urban agglomerations China, analyzing impact factors on concentrations. From 2015 2021, significantly decreased all agglomerations, with annual averages dropping approximately 50% Beijing–Tianjin–Hebei (BTH), Yangtze River Delta (YRD), Pearl (PRD), Central Plain (CP), Chengdu–Chongqing (CC). was due both favorable emission reductions. The KZ effectively separated series, RF achieved high squared correlation coefficient (R2) values between predicted observed values, ranging from 0.94 0.98. Initially, had positive reduction, indicating unfavorable conditions, but this gradually turned negative, By rates BTH, YRD, PRD, CP, CC changed 14.3%, 16.9%, 7.2%, 12.2%, 11.5% −36.5%, −31.5%, −26.9%, −30.3%, −23.5%, respectively. Temperature pressure most significant effects decline BTH CP after 2017 indicated that control measures were taking effect. confirms effective combined jointly contributed improvement air quality.

Язык: Английский

Процитировано

0