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Estimating monthly global ground-level NO2 concentrations using geographically weighted panel regression
Remote Sensing of Environment ( IF 13.5 ) Pub Date : 2022-07-08 , DOI: 10.1016/j.rse.2022.113152
Chao Li , Shunsuke Managi

Predicting long-term ground-level nitrogen dioxide (NO2) is important globally to support environmental and public health research and to provide information to governments and society for air pollution control policies. The ozone monitoring instrument (OMI), onboard Aura Satellite, detects monthly global tropospheric column amounts (TrCA) of NO2 molecules. However, the relationship between the ground-level NO2 concentration and TrCA of NO2 molecules remains elusive because NO2 molecules in the air are not evenly distributed vertically. We use geographically weighted panel regression (GWPR) to examine the relationship between satellite-derived data, measured ground-level NO2 concentrations, and several controlling meteorological variables from January 2015 to October 2021. The GWPR can analyze unbalanced panel data and capture the spatial variability of the relationship. Based on the GWPR estimation, 82 monthly global ground-level NO2 concentrations are predicted from January 2015 to October 2021. The GWPR is reliable, as indicated by the 10-fold cross-validation. The accuracy of the raster prediction of global ground-level NO2 from January 2015 to October 2021 is 69.61%. The coefficient of correlation, root mean square error and mean absolute error between globally predicted and measured ground-level NO2 are 0.838, 7.84 μg/m3 and 4.07 μg/m3, respectively, while the mean of globally measured ground-level NO2 is 19.47 μg/m3. Overall, this research provides critical basic data to environmental and public health science and valuable information for governments and societies to make more reasonable policies.



中文翻译:

使用地理加权面板回归估计每月全球地面 NO2 浓度

预测长期的地面二氧化氮 (NO 2 ) 对于支持环境和公共卫生研究以及为政府和社会提供空气污染控制政策信息具有重要意义。Aura 卫星上的臭氧监测仪 (OMI) 每月检测全球对流层柱量 (TrCA) 的 NO 2分子。然而,地面NO 2浓度与NO 2分子的TrCA之间的关系仍然难以捉摸,因为空气中的NO 2分子在垂直方向上分布不均匀。我们使用地理加权面板回归 (GWPR) 来检查卫星衍生数据、测量的地面 NO 2之间的关系浓度,以及从 2015 年 1 月到 2021 年 10 月的几个控制气象变量。GWPR 可以分析不平衡的面板数据并捕捉关系的空间变异性。根据 GWPR 估计,从 2015 年 1 月到 2021 年 10 月,预测了 82 个月的全球地面 NO 2浓度。GWPR 是可靠的,如 10 倍交叉验证所示。2015年1月至2021年10月全球地面NO 2栅格预测准确率为69.61%。全球预测和实测地平面 NO 2的相关系数、均方根误差和平均绝对误差分别为 0.838、7.84 μg / m 3和 4.07 μg /m 3,而全球测量的地面 NO 2的平均值为 19.47 μg / m 3。总体而言,这项研究为环境和公共卫生科学提供了关键的基础数据,并为政府和社会制定更合理的政策提供了有价值的信息。

更新日期:2022-07-10
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