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11篇 您的检索式:作者名="Wenwei Che"
    题名 作者 年代 出处 被引量
1A highly resolved temporal and spatial air pollutant emission inventory for the Pearl River Delta region, China and its uncertainty assessment显示文摘Junyu Zheng Lijun Zhang Wenwei Che Zhuoyun Zheng Shasha Yin 2009Atmospheric Environment2009,,32:2
2Assessment of motor vehicle emission control policies using Model-3/CMAQ model for the Pearl River Delta region, China显示文摘Wenwei Che Junyu Zheng Shuisheng Wang Liuju Zhong Alexis Lau 2011Atmospheric Environment2011,,9:1
3Speciated VOC emission inventory and spatial patterns of ozone formation potential in the Pearl River Delta, China 显示文摘ZHENG Junyu SHAO Min CHE Wenwei 2009Environ Sci Technol2009,43,22:1
4A highly resolved temporal and spatial air pollutant emission inventory for the Pearl Delta Region, China and its uncertainty assessment显示文摘ZHENG Junyu ZHANG Lijun CHE Wenwei 2009Atmos Environ2009,43,32:1
5Assessment of motor vehicle emission control policies using Model-3/CMAQ model for the Pearl River Delta region, China显示文摘Wenwei Che Junyu Zheng Shuisheng Wang Liuju Zhong Alexis Lau 2011Atmospheric Environment2011,,9:1
6Assement of motor vehicle emission control policies using Model-3/CMAQ model for the Pearl River Delta region, China 显示文摘Che Wenwei Zheng Junyu Wang Shuisheng 2011Atmospheric Environment2011,45,:1
7Speciated VOC emission inventory and spatial patterns of ozone forma- tion potential in the Pearl River Delta, China显示文摘ZHENG Junyu SHAO Min CHE Wenwei 2009Environmen- tal Science and Technology2009,43,22:1
8A highly resolved temporal and spatial air pollutant emission inventory for the Pearl River Delta region, China and its uncertainty assessment显示文摘Junyu Zheng Lijun Zhang Wenwei Che Zhuoyun Zheng Shasha Yin 2009Atmospheric Environment2009,,32:1
9Speciated VOC emission inventory and spatial patterns of ozone formation potential in the Pearl River Delta, China 显示文摘ZHENG Junyu SHAO Min CHE Wenwei 2009Environmental Science & Technology2009,43,22:1
10A highly resolved temporal and spatial air pollutant emission inventory for the Pearl River Delta region, China and its uncertainty assessment 显示文摘ZHENG Junyu ZHANG Lijun CHE Wenwei 2009Atmospheric Environment2009,43,32:1
11Impacts of pollution heterogeneity on population exposure in dense urban areas using ultra-fine resolution air quality data显示文摘Traditional air quality data have a spatial resolution of 1 km or above, making it challenging to resolve detailed air pollution exposure in complex urban areas. Combining urban morphology, dynamic traffic emission, regional and local meteorology, physicochemical transformations in air quality models using big data fusion technology, an ultra-fine resolution modeling system was developed to provide air quality data down to street level. Based on one-year ultra-fine resolution data, this study investigated the effects of pollution heterogeneity on the individual and population exposure to particulate matter(PM_(2.5)and PM_(10)),nitrogen dioxide(NO_(2)), and ozone(O_(3)) in Hong Kong, one of the most densely populated and urbanized cities. Sharp fine-scale variabilities in air pollution were revealed within individual city blocks. Using traditional 1 km average to represent individual exposure resulted in a positively skewed deviation of up to 200% for high-end exposure individuals. Citizens were disproportionally affected by air pollution, with annual pollutant concentrations varied by factors of 2 to 5 among 452 District Council Constituency Areas(DCCAs) in Hong Kong, indicating great environmental inequities among the population. Unfavorable city planning resulted in a positive spatial coincidence between pollution and population, which increased public exposure to air pollutants by as large as 46% among districts in Hong Kong. Our results highlight the importance of ultra-fine pollutant data in quantifying the heterogeneity in pollution exposure in the dense urban area and the critical role of smart urban planning in reducing exposure inequities.Wenwei Che Yumiao Zhang Changqing Lin Yik Him Fung Jimmy C.H.Fung Alexis KHLau 2023Journal of Environmental Sciences2023,,3:0
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