globalchange  > 气候变化与战略
DOI: 10.1016/j.scib.2020.12.008
论文题名:
Mapping anthropogenic emissions in China at 1 km spatial resolution and its application in air quality modeling
作者: Zheng B.; Cheng J.; Geng G.; Wang X.; Li M.; Shi Q.; Qi J.; Lei Y.; Zhang Q.; He K.
刊名: Science Bulletin
ISSN: 20959273
出版年: 2021
卷: 66, 期:6
起始页码: 612
结束页码: 620
语种: 英语
中文关键词: Air quality modeling ; Anthropogenic emission inventory ; High-resolution mapping
英文关键词: Air quality ; Image resolution ; Mapping ; Particulate emissions ; Sulfur dioxide ; Air pollutant concentrations ; Air quality modeling ; Anthropogenic emissions ; Distribution of emissions ; Emission inventories ; High-resolution emission ; Industrial facilities ; Point source emissions ; Industrial emissions
英文摘要: New challenges are emerging in fine-scale air quality modeling in China due to a lack of high-resolution emission maps. Currently, only a few emission sources have accurate geographic locations (point sources), while a large part of sources, including industrial plants, are estimated as provincial totals (area sources) and spatially disaggregated onto grid cells based on proxies; this approach is reasonable to some extent but is highly questionable at fine spatial resolutions. Here, we compile a new comprehensive point source database that includes nearly 100,000 industrial facilities in China. We couple it with the frame of Multi-resolution Emission Inventory for China (MEIC), estimate point source emissions, combine point and area sources, and finally map China's anthropogenic emissions of 2013 at the spatial resolution of 30″×30″ (~1 km). Consequently, the percentages of point source emissions in the total emissions increase from less than 30% in the MEIC up to a maximum of 84% for SO2 in 2013. The new point source-based emission maps show the uncoupled distribution of emissions and populations in space at fine spatial scales, however, such a pattern cannot be reproduced by any spatial proxy used in the conventional emissions mapping. This new accurate high-resolution emission mapping approach reduces the modeled biases of air pollutant concentrations in the densely populated areas compared to the raw MEIC inventory, thus improving the assessment of population exposure. © 2020 Science China Press
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被引频次[WOS]:60   [查看WOS记录]     [查看WOS中相关记录]
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/170523
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作者单位: Institute of Environment and Ecology, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China; Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, 100084, China; State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China; China National Environmental Monitoring Center, Beijing, 100012, China; Center for Environmental Risk and Damage Assessment, Chinese Academy of Environmental Planning, Beijing, 100012, China; Center for Regional Air Quality Simulation and Control, Chinese Academy of Environmental Planning, Beijing, 100012, China

Recommended Citation:
Zheng B.,Cheng J.,Geng G.,et al. Mapping anthropogenic emissions in China at 1 km spatial resolution and its application in air quality modeling[J]. Science Bulletin,2021-01-01,66(6)
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