Filling the missing data of AOD using the situ PM2.5 monitoring measurements in the Beijing-Tianjin-Hebei region
SONG Chun-jie1,2, WEI Qiang1,2, FAN Li-hang1,2, WANG Wei1,2, HAN Fang1,2, LI Wei-miao1,2, LI Fu-xing1,3, CHENG He-xi4
1. School of Geographical Sciences, Hebei Normal University, Shijiazhuang 050024, China; 2. Hebei Key Laboratory of Environmental Change and Ecological Construction, Shijiazhuang 050024, China; 3. Hebei Technology Innovation Center for Remote Sensing Identification of Environmental Change, Shijiazhuang 050024, China; 4. Handan Urban and Rural Planning Research Center, Handan 056000, China
Abstract：A spatiotemporal linear mixed effect model (STLME) and a spatiotemporal nested linear mixed effect model (STNLME) were presented using the PM2.5 measurements of 318 ground monitoring stations in Beijing-Tianjin-Hebei (BTH) in 2020 to fill the missing data of AOD. The results indicated that the STLME and STNLME models in the days with AOD-PM2.5 matchups showed similar performance with the cross-validation (CV) R2 valued at 0.868 and 0.874, and the root mean square error (RMSE) valued at 0.112 and 0.109, respectively. However, the STNLME model with the CV R2 valued at 0.63 outperforms STLME with the CV R2 of 0.26 in the days without PM2.5-AOD matchups. After models filling, the spatial valid value ratio of AOD data in the grid where the monitoring stations are located was increased from 44.35% to 99.35%, and the temporal valid value ratio was increased from 87.94% to 100%. Meanwhile, the annual mean AOD value of each station had increased significantly, and the missing AOD were filled under the condition of high PM2.5 level, which could reduce the biases of exposure assessment in air pollution and health studies.
宋春杰, 魏强, 范丽行, 王卫, 韩芳, 李伟妙, 李夫星, 成贺玺. 基于PM2.5站点监测数据的京津冀AOD补值研究[J]. 中国环境科学, 2022, 42(7): 3000-3012.
SONG Chun-jie, WEI Qiang, FAN Li-hang, WANG Wei, HAN Fang, LI Wei-miao, LI Fu-xing, CHENG He-xi. Filling the missing data of AOD using the situ PM2.5 monitoring measurements in the Beijing-Tianjin-Hebei region. CHINA ENVIRONMENTAL SCIENCECE, 2022, 42(7): 3000-3012.
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