Deriving Hourly PM2.5 Concentrations from Himawari-8 AODs over Beijing–Tianjin–Hebei in China
Monitoring fine particulate matter with diameters of less than 2.5 μm (PM2.5) is a critical endeavor in the Beijing–Tianjin–Hebei (BTH) region, which is one of the most polluted areas in China. Polar orbit satellites are limited by observation frequency, which is insufficient for understanding PM2.5...
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ftmdpi:oai:mdpi.com:/2072-4292/9/8/858/ 2023-08-20T03:59:11+02:00 Deriving Hourly PM2.5 Concentrations from Himawari-8 AODs over Beijing–Tianjin–Hebei in China Wei Wang Feiyue Mao Lin Du Zengxin Pan Wei Gong Shenghui Fang agris 2017-08-19 application/pdf https://doi.org/10.3390/rs9080858 EN eng Multidisciplinary Digital Publishing Institute Atmospheric Remote Sensing https://dx.doi.org/10.3390/rs9080858 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 9; Issue 8; Pages: 858 air pollution geostationary satellite Himawari-8 hourly AOD hourly PM2.5 Text 2017 ftmdpi https://doi.org/10.3390/rs9080858 2023-07-31T21:12:10Z Monitoring fine particulate matter with diameters of less than 2.5 μm (PM2.5) is a critical endeavor in the Beijing–Tianjin–Hebei (BTH) region, which is one of the most polluted areas in China. Polar orbit satellites are limited by observation frequency, which is insufficient for understanding PM2.5 evolution. As a geostationary satellite, Himawari-8 can obtain hourly optical depths (AODs) and overcome the estimated PM2.5 concentrations with low time resolution. In this study, the evaluation of Himawari-8 AODs by comparing with Aerosol Robotic Network (AERONET) measurements showed Himawari-8 retrievals (Level 3) with a mild underestimate of about −0.06 and approximately 57% of AODs falling within the expected error established by the Moderate-resolution Imaging Spectroradiometer (MODIS) (±(0.05 + 0.15AOD)). Furthermore, the improved linear mixed-effect model was proposed to derive the surface hourly PM2.5 from Himawari-8 AODs from July 2015 to March 2017. The estimated hourly PM2.5 concentrations agreed well with the surface PM2.5 measurements with high R2 (0.86) and low RMSE (24.5 μg/m3). The average estimated PM2.5 in the BTH region during the study time range was about 55 μg/m3. The estimated hourly PM2.5 concentrations ranged extensively from 35.2 ± 26.9 μg/m3 (1600 local time) to 65.5 ± 54.6 μg/m3 (1100 local time) at different hours. Text Aerosol Robotic Network MDPI Open Access Publishing Remote Sensing 9 8 858 |
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Open Polar |
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MDPI Open Access Publishing |
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ftmdpi |
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English |
topic |
air pollution geostationary satellite Himawari-8 hourly AOD hourly PM2.5 |
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air pollution geostationary satellite Himawari-8 hourly AOD hourly PM2.5 Wei Wang Feiyue Mao Lin Du Zengxin Pan Wei Gong Shenghui Fang Deriving Hourly PM2.5 Concentrations from Himawari-8 AODs over Beijing–Tianjin–Hebei in China |
topic_facet |
air pollution geostationary satellite Himawari-8 hourly AOD hourly PM2.5 |
description |
Monitoring fine particulate matter with diameters of less than 2.5 μm (PM2.5) is a critical endeavor in the Beijing–Tianjin–Hebei (BTH) region, which is one of the most polluted areas in China. Polar orbit satellites are limited by observation frequency, which is insufficient for understanding PM2.5 evolution. As a geostationary satellite, Himawari-8 can obtain hourly optical depths (AODs) and overcome the estimated PM2.5 concentrations with low time resolution. In this study, the evaluation of Himawari-8 AODs by comparing with Aerosol Robotic Network (AERONET) measurements showed Himawari-8 retrievals (Level 3) with a mild underestimate of about −0.06 and approximately 57% of AODs falling within the expected error established by the Moderate-resolution Imaging Spectroradiometer (MODIS) (±(0.05 + 0.15AOD)). Furthermore, the improved linear mixed-effect model was proposed to derive the surface hourly PM2.5 from Himawari-8 AODs from July 2015 to March 2017. The estimated hourly PM2.5 concentrations agreed well with the surface PM2.5 measurements with high R2 (0.86) and low RMSE (24.5 μg/m3). The average estimated PM2.5 in the BTH region during the study time range was about 55 μg/m3. The estimated hourly PM2.5 concentrations ranged extensively from 35.2 ± 26.9 μg/m3 (1600 local time) to 65.5 ± 54.6 μg/m3 (1100 local time) at different hours. |
format |
Text |
author |
Wei Wang Feiyue Mao Lin Du Zengxin Pan Wei Gong Shenghui Fang |
author_facet |
Wei Wang Feiyue Mao Lin Du Zengxin Pan Wei Gong Shenghui Fang |
author_sort |
Wei Wang |
title |
Deriving Hourly PM2.5 Concentrations from Himawari-8 AODs over Beijing–Tianjin–Hebei in China |
title_short |
Deriving Hourly PM2.5 Concentrations from Himawari-8 AODs over Beijing–Tianjin–Hebei in China |
title_full |
Deriving Hourly PM2.5 Concentrations from Himawari-8 AODs over Beijing–Tianjin–Hebei in China |
title_fullStr |
Deriving Hourly PM2.5 Concentrations from Himawari-8 AODs over Beijing–Tianjin–Hebei in China |
title_full_unstemmed |
Deriving Hourly PM2.5 Concentrations from Himawari-8 AODs over Beijing–Tianjin–Hebei in China |
title_sort |
deriving hourly pm2.5 concentrations from himawari-8 aods over beijing–tianjin–hebei in china |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2017 |
url |
https://doi.org/10.3390/rs9080858 |
op_coverage |
agris |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
Remote Sensing; Volume 9; Issue 8; Pages: 858 |
op_relation |
Atmospheric Remote Sensing https://dx.doi.org/10.3390/rs9080858 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs9080858 |
container_title |
Remote Sensing |
container_volume |
9 |
container_issue |
8 |
container_start_page |
858 |
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