Abstract
Abstract. Fine particulate matter with a diameter less than 2.5 μm (PM2.5) has harmful impacts on regional climate, economic development and public health. The high PM2.5 concentrations in China’s urban areas are mainly caused by the combustion of coal and gasoline, industrial pollution and unknown/uncertain sources. The Beijing-Tianjin-Hebei (BTH) region with a land area of 218,000 km2, which contains 13 cities, is the biggest urbanized region in northern China. The huge population (110 million, 8% of the China’s population), local heavy industries and vehicle emissions have resulted in severe air pollution. Traditional models have used 10 km Moderate-resolution Imaging Spectroradiometer (MODIS) Aerosol Optical Depth (AOD) products and proved the statistical relationship between AOD and PM2.5. In 2014, the 3 km MODIS AOD product was released which made PM2.5 estimations with a higher resolution became possible. This study presents an estimation on PM2.5 distributions in the BTH region from September 2014 to August 2015 by combining the MODIS satellite data, ground measurements of PM2.5, meteorological parameters and social-economic factors based on the geographically weighted regression model. The results demonstrated that the 10 km AOD product provided results with a slightly higher accuracy although the 3 km AOD product could provide more information about the spatial variations of PM2.5 estimations. Additionally, compared with the global regression, the geographically weighed model was able to improve the estimation results.
Highlights
Air pollution is a recognized threat to public health and has been globally associated with increasing mortality and morbidity
It was estimated that in the Yangtze River Delta, China, the total economic loss caused by the high concentration of PM2.5 was ¥22.10 billion CNY in 2010 (Wang et al, 2015)
Users can use 10km Moderateresolution Imaging Spectroradiometer (MODIS) Aerosol Optical Depth (AOD) products provided by NASA instead of retrieving AOD from satellite images themselves
Summary
Air pollution is a recognized threat to public health and has been globally associated with increasing mortality and morbidity. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLI-B2, 2016 XXIII ISPRS Congress, 12–19 July 2016, Prague, Czech Republic is more, this method costs less to monitor air quality for developing countries or regions which are in lack of ground-level stations but have severe air pollution. Users can use 10km MODIS AOD products provided by NASA instead of retrieving AOD from satellite images themselves This product has been provided since 2000 and it is based on dark target and deep blue algorithms. This study aims to compare the 3 km and 10 km MODIS AOD products’ performances in estimating PM2.5 concentrations by using the GWR model in the Beijing-Tianjin-Hebei region from September 2014 to August 2015
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