China is confronting aggravated ozone(O_(3))pollution,leading to adverse health impacts.This study quantifies the regional contributions to O_(3)in China using two approaches;estimating(1)where goods are produced(the ...China is confronting aggravated ozone(O_(3))pollution,leading to adverse health impacts.This study quantifies the regional contributions to O_(3)in China using two approaches;estimating(1)where goods are produced(the production method),and(2)where goods are consumed(the consumption method).The production method predicts higher local source contribution than the consumption method;this difference can be attributed to exports.Occurrence of high-O_(3)episodes suggests a major contribution to O_(3)concentration as a result of trade activities.Based on the consumption method,9219 out of 18532 daily premature mortalities were caused by local sources in north China,while it increased to 14471 of the production method when neglecting contributions due to export and consumption in other regions.This study suggests that O_(3)control should consider both where goods are consumed and emissions are emitted,especially taking account of international trade activities.展开更多
Located in the central area of the North China Plain, the Beijing-Tianjin-Hebei region experiences severe air pollution, especially for Hebei province with five cities among the top 10 cities with the worst air qualit...Located in the central area of the North China Plain, the Beijing-Tianjin-Hebei region experiences severe air pollution, especially for Hebei province with five cities among the top 10 cities with the worst air quality nationwide. However, less studies have investigated local and regional contributions to cities in Hebei in comparison to Beijing and Tianjin. In this study, a source-oriented version of the Community Multiscale Air Quality (CMAQ) model is used to quantify inter- and intra-province transport of PM_(2.5) in 11 cities within Hebei in 2017. PM_(2.5) and its components vary seasonally with high levels in winter and low levels in summer. Local contributions to total PM_(2.5) within cities are 23%–61%, while intra-province transport contributes 10%–30%, and inter-province transport contributes 23%–46%, with top contributors of Shandong (4%–22%), Henan (3%–15%) and Shanxi (2%–11%). The primary components in most cities are mainly from local sources (30%–80%), and the secondary components are mainly from inter-province contributions (30%–66%). Local sources have the highest contributions to total PM_(2.5) in Shijiazhuang (∼49%), followed by Shanxi (∼12%) and Xingtai (∼7%). Secondary components from local and intra-province emissions are the major cause of heavy pollution events. These results suggest that both local and regional joint control measures with neighboring cities and provinces are necessary for pollution reduction in Hebei cities.展开更多
基金supported by the co-fund Deutsche Forschungsgemeinschaft(DFG)–National Natural Science Foundation of China(NSFC)Sino–German Air Changes project(448720203)National Natural Science Foundation of China(42077194/42061134008)Shanghai International Science and Technology Partnership Project(21230780200)。
文摘China is confronting aggravated ozone(O_(3))pollution,leading to adverse health impacts.This study quantifies the regional contributions to O_(3)in China using two approaches;estimating(1)where goods are produced(the production method),and(2)where goods are consumed(the consumption method).The production method predicts higher local source contribution than the consumption method;this difference can be attributed to exports.Occurrence of high-O_(3)episodes suggests a major contribution to O_(3)concentration as a result of trade activities.Based on the consumption method,9219 out of 18532 daily premature mortalities were caused by local sources in north China,while it increased to 14471 of the production method when neglecting contributions due to export and consumption in other regions.This study suggests that O_(3)control should consider both where goods are consumed and emissions are emitted,especially taking account of international trade activities.
基金supported by the co-fund DFG-NSFC Sino-German AirChanges project(No.448720203)National Natural Science Foundation of China(No.42077194 and No.42061134008)Shanghai International Science and Technology Partnership Project(No.21230780200).
文摘Located in the central area of the North China Plain, the Beijing-Tianjin-Hebei region experiences severe air pollution, especially for Hebei province with five cities among the top 10 cities with the worst air quality nationwide. However, less studies have investigated local and regional contributions to cities in Hebei in comparison to Beijing and Tianjin. In this study, a source-oriented version of the Community Multiscale Air Quality (CMAQ) model is used to quantify inter- and intra-province transport of PM_(2.5) in 11 cities within Hebei in 2017. PM_(2.5) and its components vary seasonally with high levels in winter and low levels in summer. Local contributions to total PM_(2.5) within cities are 23%–61%, while intra-province transport contributes 10%–30%, and inter-province transport contributes 23%–46%, with top contributors of Shandong (4%–22%), Henan (3%–15%) and Shanxi (2%–11%). The primary components in most cities are mainly from local sources (30%–80%), and the secondary components are mainly from inter-province contributions (30%–66%). Local sources have the highest contributions to total PM_(2.5) in Shijiazhuang (∼49%), followed by Shanxi (∼12%) and Xingtai (∼7%). Secondary components from local and intra-province emissions are the major cause of heavy pollution events. These results suggest that both local and regional joint control measures with neighboring cities and provinces are necessary for pollution reduction in Hebei cities.
