 |
| Titel |
Urban-scale mapping of PM2.5 distribution via data fusion between high-density sensor network and MODIS Aerosol Optical Depth |
| VerfasserIn |
Yu Tao Ba, Bao xian Liu, Feng Sun, Li hua Wang, Yu Jia Tang, Da Wei Zhang |
| Konferenz |
EGU General Assembly 2017
|
| Medientyp |
Artikel
|
| Sprache |
en
|
| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 19 (2017) |
| Datensatznummer |
250147159
|
| Publikation (Nr.) |
 EGU/EGU2017-11276.pdf |
|
|
|
|
|
| Zusammenfassung |
| Title
Urban-scale mapping of PM2.5 distribution via data fusion between high-density sensor network and MODIS Aerosol Optical Depth
Author
Dr. Yutao Ba, IBM Research, bytbabyt@cn.ibm.com
Baoxian Liu, Beijing Municipal Environmental Monitoring Center, liubaoxian28@163.com
Feng Sun, Beijing Municipal Environmental Monitoring Center, bb0438@163.com
Lihua Wang, Beijing Municipal Environmental Monitoring Center, wlh_lucky@163.com
Dr. Yujia Tang, IBM Research, bjyjtang@cn.ibm.com
Dr. Dawei Zhang, Beijing Municipal Environmental Monitoring Center, zhangdawei@bjmemc.com.cn
Abstract
High-resolution mapping of PM2.5 is the prerequisite for precise analytics and subsequent anti-pollution interventions. Considering the large variances of particulate distribution, urban-scale mapping is challenging either with ground-based fixed stations, with satellites or via models. In this study, a dynamic fusion method between high-density sensor network and MODIS Aerosol Optical Depth (AOD) was introduced. The sensor network was deployed in Beijing ( > 1000 fixed monitors across 16000 km2 area) to provide raw observations with high temporal resolution (sampling interval < 1 hour), high spatial resolution in flat areas ( < 1 km), and low spatial resolution in mountainous areas ( > 5 km). The MODIS AOD was calibrated to provide distribution map with low temporal resolution (daily) and moderate spatial resolution ( = 3 km). By encoding the data quality and defects (e.g. could, reflectance, abnormal), a hybrid interpolation procedure with cross-validation generated PM2.5 distribution with both high temporal and spatial resolution. Several no-pollutant and high-pollution periods were tested to validate the proposed fusion method for capturing the instantaneous patterns of PM2.5 emission. |
|
|
|
|
|
|