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Influence of Spatial Resolution on Satellite-Based $PM_{2.5}$ Estimation: Implications for Health Assessment
| Content Provider | MDPI |
|---|---|
| Author | Bai, Heming Shi, Yuli Seong, Myeongsu Gao, Wenkang Li, Yuanhui |
| Copyright Year | 2022 |
| Description | Satellite-based $PM_{2.5}$ estimation has been widely used to assess health impact associated with $PM_{2.5}$ exposure and might be affected by spatial resolutions of satellite input data, e.g., aerosol optical depth (AOD). Here, based on Multi-Angle Implementation of Atmospheric Correction (MAIAC) AOD in 2020 over the Yangtze River Delta (YRD) and three $PM_{2.5}$ retrieval models, i.e., the mixed effects model (ME), the land-use regression model (LUR) and the Random Forest model (RF), we compare these model performances at different spatial resolutions (1, 3, 5 and 10 km). The $PM_{2.5}$ estimations are further used to investigate the impact of spatial resolution on health assessment. Our cross-validated results show that the model performance is not sensitive to spatial resolution change for the ME and LUR models. By contrast, the RF model can create a more accurate $PM_{2.5}$ prediction with a finer AOD spatial resolution. Additionally, we find that annual population-weighted mean (PWM) $PM_{2.5}$ concentration and attributable mortality strongly depend on spatial resolution, with larger values estimated from coarser resolution. Specifically, compared to PWM $PM_{2.5}$ at 1 km resolution, the estimation at 10 km resolution increases by 7.8%, 22.9%, and 9.7% for ME, LUR, and RF models, respectively. The corresponding increases in mortality are 7.3%, 18.3%, and 8.4%. Our results also show that PWM $PM_{2.5}$ at 10 km resolution from the three models fails to meet the national air quality standard, whereas the estimations at 1, 3 and 5 km resolutions generally meet the standard. These findings suggest that satellite-based health assessment should consider the spatial resolution effect. |
| Starting Page | 2933 |
| e-ISSN | 20724292 |
| DOI | 10.3390/rs14122933 |
| Journal | Remote Sensing |
| Issue Number | 12 |
| Volume Number | 14 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-06-19 |
| Access Restriction | Open |
| Subject Keyword | Remote Sensing Imaging Science Pm2.5 Retrieval Aod Spatial Resolution Health Assessment |
| Content Type | Text |
| Resource Type | Article |
