Autor: |
Hu He, Tingzhen Zheng, Jingang Zhao, Xin Yuan, Encheng Sun, Haoran Li, Hongyue Zheng, Xiao Liu, Gangzhu Li, Yanbo Zhang, Zhili Jin, Wei Wang |
Jazyk: |
angličtina |
Rok vydání: |
2024 |
Předmět: |
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Zdroj: |
Frontiers in Earth Science, Vol 12 (2024) |
Druh dokumentu: |
article |
ISSN: |
2296-6463 |
DOI: |
10.3389/feart.2024.1352498 |
Popis: |
Atmospheric methane is one of the major greenhouse gases and has a great impact on climate change. To obtain the polluted levels of atmospheric methane in the ground-level range, this study used satellite observations and vertical profile features derived by atmospheric chemistry model to estimate the ground methane concentrations in first. Then, the improved daily ground-level atmospheric methane concentration dataset with full spatial coverage (100%) and 5-km resolution in mainland China from 2019 to 2021 were retrieved by station-based observations and gaussian regression model. The overall estimated deviation between the estimated ground methane concentrations and the WDCGG station-based measurements is less than 10 ppbv. The R by ten-fold cross-validation is 0.93, and the R2 is 0.87. The distribution of the ground-level methane concentrations in the Chinese region is characterized by high in the east and south, and low in the west and north. On the time scale, ground-level methane concentration in the Chinese region is higher in winter and lower in summer. Meanwhile, the spatial and temporal distribution and changes of ground-level methane in local areas have been analyzed using Shandong Province as an example. The results have a potential to detect changes in the distribution of methane concentration. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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