Author
Listed:
- Qianxi Liu
(Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
University of Chinese Academy of Sciences, Beijing 100049, China)
- Yalan Liu
(Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
University of Chinese Academy of Sciences, Beijing 100049, China)
- Shufu Liu
(Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China)
- Jinghai Zhao
(Daxing District Ecological Environment Bureau of Beijing Municipality, Beijing 102699, China)
- Bin Zhao
(Daxing District Ecological Environment Bureau of Beijing Municipality, Beijing 102699, China)
- Feng Zhou
(Daxing District Ecological Environment Bureau of Beijing Municipality, Beijing 102699, China)
- Dan Zhu
(Daxing District Ecological Environment Bureau of Beijing Municipality, Beijing 102699, China)
- Dacheng Wang
(Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China)
- Linjun Yu
(Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
University of Chinese Academy of Sciences, Beijing 100049, China)
- Ling Yi
(Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
University of Chinese Academy of Sciences, Beijing 100049, China)
- Gang Chen
(Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
University of Chinese Academy of Sciences, Beijing 100049, China)
Abstract
Soil fugitive dust (SFD) is a significant contributor to environmental particulate matter (PM), which not only pollutes and affects air quality but also poses risks to human health. The emission inventory can provide a basis for the effective prevention and control of SFD pollution. However, current emission inventories with low resolution and frequency make it difficult to assess dust emissions accurately. Obtaining monthly high-resolution bare soil information is one of the solutions for compiling SFD emission inventories. Taking Daxing District, Beijing, as a case study, this study first extracted bare soil for each month of 2020, 2021, and 2022, respectively, using high-spatial-resolution remote sensing satellite data, and then constructed a 10 m-size emission grid and monthly SFD emission inventories based on the wind erosion equation by inputting vegetation cover factor, meteorological data, and soil erosion index. The total emissions of TSP, PM 10 , and PM 2.5 in Daxing District from 2020 to 2022 were 3996.54 tons, 359.26 tons, and 25.25 tons, respectively. Temporally, the SFD emissions showed a decreasing trend over the years and were mainly concentrated in the winter and spring seasons. Spatially, the SFD emissions were predominantly concentrated in the southern and northern areas. And the emissions of PM 10 exhibit a significantly stronger correlation with wind speed and the extent of bare soil area.
Suggested Citation
Qianxi Liu & Yalan Liu & Shufu Liu & Jinghai Zhao & Bin Zhao & Feng Zhou & Dan Zhu & Dacheng Wang & Linjun Yu & Ling Yi & Gang Chen, 2024.
"Emission Inventory of Soil Fugitive Dust Sources with High Spatiotemporal Resolution: A Case Study of Daxing District, Beijing, China,"
Land, MDPI, vol. 13(12), pages 1-18, November.
Handle:
RePEc:gam:jlands:v:13:y:2024:i:12:p:1991-:d:1526929
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:13:y:2024:i:12:p:1991-:d:1526929. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.