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Remote Sens. 2016, 8(11), 914; doi:10.3390/rs8110914

Spatial Correlation of Satellite-Derived PM2.5 with Hospital Admissions for Respiratory Diseases

1
Department of Audiology and Speech Language Pathology, Mackay Medical College, New Taipei City 25245, Taiwan
2
Center for Space and Remote Sensing Research, National Central University, Taoyuan 32001, Taiwan
3
Department of Atmospheric Sciences, National Central University, Taoyuan 32001, Taiwan
4
Research Center for Environmental Changes, Academia Sinica, Taipei 11529, Taiwan
*
Authors to whom correspondence should be addressed.
Academic Editors: Yuriy Kuleshov, Jean-Pierre Barriot, Chung-Ru Ho, Richard Müller and Prasad S. Thenkabail
Received: 28 April 2016 / Revised: 30 September 2016 / Accepted: 25 October 2016 / Published: 3 November 2016
(This article belongs to the Special Issue Earth Observations for a Better Future Earth)
View Full-Text   |   Download PDF [7412 KB, uploaded 3 November 2016]   |  

Abstract

Respiratory diseases, particularly allergic rhinitis, are spatially and temporally correlated with the ground PM2.5 level. A study of the correlation between the two factors should therefore account for spatiotemporal variations. Satellite observation has the advantage of wide spatial coverage over pin-point style ground-based in situ monitoring stations. Therefore, the current study used both ground measurement and satellite data sets to investigate the spatial and temporal correlation of satellite-derived PM2.5 with respiratory diseases. This study used 4-year satellite data and PM2.5 levels of the period at eight stations in Taiwan to obtain the spatial and temporal relationship between aerosol optical depth (AOD) and PM2.5. The AOD-PM2.5 model was further examined using the cross-validation (CV) technique and was found to have high reliability compared with similar models. The model was used to obtain satellite-derived PM2.5 levels and to analyze the hospital admissions for allergic rhinitis in 2008. The results suggest that adults (18–65 years) and children (3–18 years) are the most vulnerable groups to the effect of PM2.5 compared with infants and elderly people. This result may be because the two affected age groups spend longer time outdoors. This result may also be attributed to the long-range PM2.5 transport from upper stream locations and the atmospheric circulation patterns, which are significant in spring and fall. The results of the current study suggest that additional environmental factors that might be associated with respiratory diseases should be considered in future studies. View Full-Text
Keywords: PM2.5; aerosol optical depth; allergic rhinitis PM2.5; aerosol optical depth; allergic rhinitis
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Liu, C.-J.; Liu, C.-Y.; Mong, N.T.; Chou, C.C.K. Spatial Correlation of Satellite-Derived PM2.5 with Hospital Admissions for Respiratory Diseases. Remote Sens. 2016, 8, 914.

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