Journal article
Tracking NO2 and CO pollution hotspots at provincial scale in China with TROPOMI observations and image segmentation method
Atmospheric environment (1994), Vol.351, 121176
06/2025
DOI: 10.1016/j.atmosenv.2025.121176
Abstract
Satellite measurements of short-lived gaseous pollutants such as nitrogen dioxide (NO2) and carbon monoxide (CO) provide an unprecedented opportunity to infer global distribution of their emission sources. However, the great differences in the magnitude of anthropogenic emissions have hampered the identification of pollution sources with satellite observations. In this study, we identified NO2 and CO pollution hotspots in China with oversampled TROPOspheric Monitoring Instrument (TROPOMI) concentration data by utilizing an image segmentation method at provincial scale. We also determined the major emitting sectors associated with the pollution hotspots in each province. Based on NO2 pollution hotspots, we can find major emission sources, such as ports, airports, industrial and urban areas. In the hotspots of most provinces, the Steel plant, Coke plant, and Power plant were identified as the main NOx emission sources. CO pollution hotspots were closely linked to Steel plant, with additional contributions from Coke plant, Chemical industry, and Non-ferrous metal smelting in certain provinces. The pollution hotspots and their corresponding concentrations yield relatively strong correlation with Multi-resolution Emission Inventory for China (MEIC) (For NO2, the R2 was 0.937 in provinces with small land area and 0.654 in others, while for CO, the R2 was 0.849 and 0.659, respectively). Our results can provide an observational constraint on the spatial locations of NOx and CO emission sources for emission inventories.
•Provincial-scale pollution hotspots were identified based on image segmentation.•First identification of oversampled CO pollution hotspots using image segmentation.•Identify major emission sectors for pollution hotspots in each province.
Details
- Title: Subtitle
- Tracking NO2 and CO pollution hotspots at provincial scale in China with TROPOMI observations and image segmentation method
- Creators
- Mingyu Zeng - China University of GeosciencesMinghui Tao - China University of GeosciencesRong Li - Hubei UniversityPengfei Ma - Ministry of Ecology and EnvironmentLijuan Zhang - Ministry of Ecology and EnvironmentJun Wang - Center for Global and Regional Environmental Research, The University of lowa, lowa City, IA, 52242, USALunche Wang - China University of GeosciencesYi Wang - China University of GeosciencesHaijun Huang - China University of GeosciencesLiangfu Chen - State Key Laboratory of Remote Sensing Science
- Resource Type
- Journal article
- Publication Details
- Atmospheric environment (1994), Vol.351, 121176
- DOI
- 10.1016/j.atmosenv.2025.121176
- ISSN
- 1352-2310
- eISSN
- 1873-2844
- Publisher
- Elsevier Ltd
- Grant note
- National Natural Science Foundation of China: 42271382, 42171354 University of Iowa
This study was supported by National Natural Science Foundation of China (Grant No.42271382 and 42171354) . Jun Wang's participation is made possible via the in-kind support (Lichtenberger Chair professor-ship) from University of Iowa. We thank European Space Agency (ESA) and the Netherlands Space Office (NSO) for providing TROPOMI products.
- Language
- English
- Electronic publication date
- 03/2025
- Date published
- 06/2025
- Academic Unit
- Electrical and Computer Engineering; Civil and Environmental Engineering; Physics and Astronomy; Chemical and Biochemical Engineering
- Record Identifier
- 9984801617202771
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