Satellite-based estimates of high-resolution CO concentrations at ground level in the Yangtze River Economic Belt of China

被引:3
|
作者
Dong, Jiaqi [1 ]
Zhang, Xiuying [1 ,2 ,3 ]
Zhan, Nan [1 ,3 ]
机构
[1] Nanjing Univ, Int Inst Earth Syst Sci, Nanjing 210046, Peoples R China
[2] Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China
[3] Minist Nat Resources, Key Lab Urban Land Resources Monitoring & Simulat, Shenzhen 518000, Peoples R China
关键词
Ground-level CO concentrations; Satellite CO columns; Chemical transport model; MGWR model; Yangtze River Economic Belt of China; CARBON-MONOXIDE; REGRESSION; NO2; PRECIPITATION; TEMPERATURE; CHEMISTRY; EMISSIONS; TRANSPORT; POLLUTION; PROFILES;
D O I
10.1016/j.atmosenv.2023.120018
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study proposed a method to downscale ground-level CO concentrations from satellite observations. Taking the Yangtze River Economic Belt of China as the study area, ground-level CO concentrations (0.25 degrees x 0.25 degrees) were first estimated from the troposphere (MOPITT) CO columns and atmospheric CO profiles simulated by the chemical transport model CAM-CHEM; then the resulting data was downscaled to 1 x 1 km2 based on an algorithm of multiscale geo-weighted regression (MGWR) model with the auxiliary factors. The estimated groundlevel CO concentrations were in good agreement with the observations at ground-based sites (RMSE = 0.25 mg/ m3, PRE = 19%). In the Yangtze River Economic Belt, monthly ground-level CO concentrations showed obvious temporal and spatial variations, ranging from 0.30 to 0.81 mg/m3 and an average of 0.49 mg/m3; high CO values occurred in winter, while low in summer; hotspots of CO concentrations were concentrated in the northern Yangtze River Delta and the urban areas.
引用
收藏
页数:11
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