globalchange  > 气候变化与战略
DOI: 10.1016/j.atmosenv.2020.117322
论文题名:
Satellite-based estimation of surface NO2 concentrations over east-central China: A comparison of POMINO and OMNO2d data
作者: Qin K.; Han X.; Li D.; Xu J.; Li D.; Loyola D.; Zhou X.; Xue Y.; Zhang K.; Yuan L.
刊名: Atmospheric Environment
ISSN: 1352-2310
出版年: 2020
卷: 224
语种: 英语
英文关键词: Decision trees ; Forestry ; Random forests ; Regression analysis ; Satellites ; Ultraviolet spectrometers ; Estimation performance ; Extra-trees ; Non-linear relationships ; OMNO2d ; Ozone monitoring instruments ; POMINO ; Prediction accuracy ; Satellite products ; Nitrogen oxides ; nitrogen dioxide ; ozone ; concentration (composition) ; nitrous oxide ; numerical model ; regression analysis ; satellite data ; Article ; concentration (parameter) ; controlled study ; cross validation ; prediction ; priority journal ; random forest ; surface property ; China
学科: Extra trees ; NO2 ; OMI ; OMNO2d ; POMINO ; Random forest
中文摘要: The OMI NO2 standard product, OMNO2d, has been widely used in estimating surface NO2 concentrations. The Peking University Ozone Monitoring Instrument NO2 product (POMINO) is claimed to provide an improved quality over east-central China. This study estimated one year (Dec.2016–Nov.2017) of surface NO2 concentrations at satellite overpass time based on OMNO2d data and POMINO data, respectively. We used an extra-trees (ET) regression model to convey the non-linear relationship between surface NO2 and predictors, and compared the prediction accuracy with that of random forests (RF) regression model. The ET model showed a better estimation performance than the RF model, with the cross-validation R2 of 0.72 (RMSE = 9.20 μg/m3) and R2 of 0.70 (RMSE = 9.42 μg/m3) based on POMINO and OMNO2d data, respectively. The POMINO-derived monthly mean surface NO2 concentrations were closer to ground NO2 measurements than that OMNO2d-derived. Although the estimations from both satellite products were underestimated in polluted situations, the use of POMINO reduced the underestimation as compared to the use of OMNO2d data. © 2020 Elsevier Ltd
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/160444
Appears in Collections:气候变化与战略

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作者单位: School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, China; German Aerospace Center, Remote Sensing Technology Institute, Weßling, Germany

Recommended Citation:
Qin K.,Han X.,Li D.,et al. Satellite-based estimation of surface NO2 concentrations over east-central China: A comparison of POMINO and OMNO2d data[J]. Atmospheric Environment,2020-01-01,224
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