气候变化领域集成服务门户(CCPortal): Improved Gaussian regression model for retrieving ground methane levels by considering vertical profile features

CCPortal

DOI	10.3389/feart.2024.1352498
	Improved Gaussian regression model for retrieving ground methane levels by considering vertical profile features
	He, Hu; Zheng, Tingzhen; Zhao, Jingang; Yuan, Xin; Sun, Encheng; Li, Haoran; Zheng, Hongyue; Liu, Xiao; Li, Gangzhu; Zhang, Yanbo; Jin, Zhili; Wang, Wei
发表日期	2024
EISSN	2296-6463
起始页码	12
卷号	12
英文摘要	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.
英文关键词	ground-level CH4 concentration; TROPOMI; GPR; remote sensing; satellite
语种	英语
WOS研究方向	Geology
WOS类目	Geosciences, Multidisciplinary
WOS记录号	WOS:001190374000001
来源期刊	FRONTIERS IN EARTH SCIENCE
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/296117
作者单位	Sinopec; Central South University
推荐引用方式 GB/T 7714	He, Hu,Zheng, Tingzhen,Zhao, Jingang,et al. Improved Gaussian regression model for retrieving ground methane levels by considering vertical profile features[J],2024,12.
APA	He, Hu.,Zheng, Tingzhen.,Zhao, Jingang.,Yuan, Xin.,Sun, Encheng.,...&Wang, Wei.(2024).Improved Gaussian regression model for retrieving ground methane levels by considering vertical profile features.FRONTIERS IN EARTH SCIENCE,12.
MLA	He, Hu,et al."Improved Gaussian regression model for retrieving ground methane levels by considering vertical profile features".FRONTIERS IN EARTH SCIENCE 12(2024).