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DOI | 10.5194/acp-21-12895-2021 |
Development of a new emission reallocation method for industrial sources in China | |
Lam Y.F.; Cheung C.C.; Zhang X.; Fu J.S.; Fung J.C.H. | |
发表日期 | 2021 |
ISSN | 1680-7316 |
起始页码 | 12895 |
结束页码 | 12908 |
卷号 | 21期号:17 |
英文摘要 | An accurate emission inventory is a crucial part of air pollution management and is essential for air quality modelling. One source in an emission inventory, an industrial source, has been known with high uncertainty in both location and magnitude in China. In this study, a new reallocation method based on blue-roof industrial buildings was developed to replace the conventional method of using population density for the Chinese emission development. The new method utilized the zoom level 14 satellite imagery (i.e. Google®) and processed it based on hue, saturation, and value (HSV) colour classification to derive new spatial surrogates for province-level reallocation, providing more realistic spatial patterns of industrial PM2.5 and NO2 emissions in China. The WRF-CMAQ-based PATH-2016 model system was then applied with the new processed industrial emission input in the MIX inventory to simulate air quality in the Greater Bay Area (GBA) area (formerly called Pearl River Delta, PRD). In the study, significant root mean square error (RMSE) improvement was observed in both summer and winter scenarios in 2015 when compared with the population-based approach. The average RMSE reductions (i.e. 75 stations) of PM2.5 and NO2 were found to be 11ĝggm-3 and 3gppb, respectively. Although the new method for allocating industrial sources did not perform as well as the point- and area-based industrial emissions obtained from the local bottom-up dataset, it still showed a large improvement over the existing population-based method. In conclusion, this research demonstrates that the blue-roof industrial allocation method can effectively identify scattered industrial sources in China and is capable of downscaling the industrial emissions from regional to local levels (i.e. 27 to 3gkm resolution), overcoming the technical hurdle of ĝ1/4g10gkm resolution from the top-down or bottom-up emission approach under the unified framework of emission calculation. © Authors 2021. |
语种 | 英语 |
scopus关键词 | air quality; atmospheric pollution; bottom-up approach; emission inventory; industrial emission; nitrogen dioxide; particulate matter; China; Guangdong; Zhujiang Delta |
来源期刊 | ATMOSPHERIC CHEMISTRY AND PHYSICS
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/246621 |
作者单位 | Department of Geography, University of Hong Kong, Hong Kong; ClusterTech Limited, Hong Kong; Institute for the Environment, Hong Kong University of Science and Technology, Hong Kong; Department of Civil and Environmental Engineering, University of Tennessee, Knoxville, United States |
推荐引用方式 GB/T 7714 | Lam Y.F.,Cheung C.C.,Zhang X.,et al. Development of a new emission reallocation method for industrial sources in China[J],2021,21(17). |
APA | Lam Y.F.,Cheung C.C.,Zhang X.,Fu J.S.,&Fung J.C.H..(2021).Development of a new emission reallocation method for industrial sources in China.ATMOSPHERIC CHEMISTRY AND PHYSICS,21(17). |
MLA | Lam Y.F.,et al."Development of a new emission reallocation method for industrial sources in China".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.17(2021). |
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