Acute health impacts of airborne particles estimated from satellite remote sensing

Satellite-based remote sensing provides a unique opportunity to monitor air quality from space at global, continental, national and regional scales. Most current research focused on developing empirical models using ground measurements of the ambient particulate. However, the application of satellit...

Full description

Bibliographic Details
Main Authors: Zhaoxi Wang, Yang Liu, Mu Hu, Xiaochuan Pan, Jing Shi, Feng Chen, Kebin He, Petros Koutrakis, David C. Christiani
Format: Article
Language:English
Published: Elsevier 2013-01-01
Series:Environment International
Online Access:http://www.sciencedirect.com/science/article/pii/S0160412012002358
id doaj-2006c53f5f9f4b409811939fbab545b1
record_format Article
spelling doaj-2006c53f5f9f4b409811939fbab545b12020-11-24T21:55:24ZengElsevierEnvironment International0160-41202013-01-0151150159Acute health impacts of airborne particles estimated from satellite remote sensingZhaoxi Wang0Yang Liu1Mu Hu2Xiaochuan Pan3Jing Shi4Feng Chen5Kebin He6Petros Koutrakis7David C. Christiani8Harvard School of Public Health, Massachusetts General Hospital/Harvard Medical School, Boston, MA 02115, United States; Corresponding author at: 665 Huntington Avenue, I-1406C, Boston, MA 02115, United States.Rollins School of Public Health, Emory University, Atlanta, GA 30322, United StatesPeking University Health Science Center, Beijing 100191, ChinaPeking University Health Science Center, Beijing 100191, ChinaHarvard School of Public Health, Massachusetts General Hospital/Harvard Medical School, Boston, MA 02115, United StatesSchool of Public Health, Nanjing Medical University, Nanjing 210029, ChinaDepartment of Environmental Engineering and Sciences, Tsinghua University, Beijing 100084, ChinaHarvard School of Public Health, Massachusetts General Hospital/Harvard Medical School, Boston, MA 02115, United StatesHarvard School of Public Health, Massachusetts General Hospital/Harvard Medical School, Boston, MA 02115, United StatesSatellite-based remote sensing provides a unique opportunity to monitor air quality from space at global, continental, national and regional scales. Most current research focused on developing empirical models using ground measurements of the ambient particulate. However, the application of satellite-based exposure assessment in environmental health is still limited, especially for acute effects, because the development of satellite PM2.5 model depends on the availability of ground measurements. We tested the hypothesis that MODIS AOD (aerosol optical depth) exposure estimates, obtained from NASA satellites, are directly associated with daily health outcomes. Three independent healthcare databases were used: unscheduled outpatient visits, hospital admissions, and mortality collected in Beijing metropolitan area, China during 2006. We use generalized linear models to compare the short-term effects of air pollution assessed by ground monitoring (PM10) with adjustment of absolute humidity (AH) and AH-calibrated AOD. Across all databases we found that both AH-calibrated AOD and PM10 (adjusted by AH) were consistently associated with elevated daily events on the current day and/or lag days for cardiovascular diseases, ischemic heart diseases, and COPD. The relative risks estimated by AH-calibrated AOD and PM10 (adjusted by AH) were similar. Additionally, compared to ground PM10, we found that AH-calibrated AOD had narrower confidence intervals for all models and was more robust in estimating the current day and lag day effects. Our preliminary findings suggested that, with proper adjustment of meteorological factors, satellite AOD can be used directly to estimate the acute health impacts of ambient particles without prior calibrating to the sparse ground monitoring networks. Keywords: Absolute humidity, Aerosol optical depth, Environmental health, Particulate matter, Satellite remote sensinghttp://www.sciencedirect.com/science/article/pii/S0160412012002358
collection DOAJ
language English
format Article
sources DOAJ
author Zhaoxi Wang
Yang Liu
Mu Hu
Xiaochuan Pan
Jing Shi
Feng Chen
Kebin He
Petros Koutrakis
David C. Christiani
spellingShingle Zhaoxi Wang
Yang Liu
Mu Hu
Xiaochuan Pan
Jing Shi
Feng Chen
Kebin He
Petros Koutrakis
David C. Christiani
Acute health impacts of airborne particles estimated from satellite remote sensing
Environment International
author_facet Zhaoxi Wang
Yang Liu
Mu Hu
Xiaochuan Pan
Jing Shi
Feng Chen
Kebin He
Petros Koutrakis
David C. Christiani
author_sort Zhaoxi Wang
title Acute health impacts of airborne particles estimated from satellite remote sensing
title_short Acute health impacts of airborne particles estimated from satellite remote sensing
title_full Acute health impacts of airborne particles estimated from satellite remote sensing
title_fullStr Acute health impacts of airborne particles estimated from satellite remote sensing
title_full_unstemmed Acute health impacts of airborne particles estimated from satellite remote sensing
title_sort acute health impacts of airborne particles estimated from satellite remote sensing
publisher Elsevier
series Environment International
issn 0160-4120
publishDate 2013-01-01
description Satellite-based remote sensing provides a unique opportunity to monitor air quality from space at global, continental, national and regional scales. Most current research focused on developing empirical models using ground measurements of the ambient particulate. However, the application of satellite-based exposure assessment in environmental health is still limited, especially for acute effects, because the development of satellite PM2.5 model depends on the availability of ground measurements. We tested the hypothesis that MODIS AOD (aerosol optical depth) exposure estimates, obtained from NASA satellites, are directly associated with daily health outcomes. Three independent healthcare databases were used: unscheduled outpatient visits, hospital admissions, and mortality collected in Beijing metropolitan area, China during 2006. We use generalized linear models to compare the short-term effects of air pollution assessed by ground monitoring (PM10) with adjustment of absolute humidity (AH) and AH-calibrated AOD. Across all databases we found that both AH-calibrated AOD and PM10 (adjusted by AH) were consistently associated with elevated daily events on the current day and/or lag days for cardiovascular diseases, ischemic heart diseases, and COPD. The relative risks estimated by AH-calibrated AOD and PM10 (adjusted by AH) were similar. Additionally, compared to ground PM10, we found that AH-calibrated AOD had narrower confidence intervals for all models and was more robust in estimating the current day and lag day effects. Our preliminary findings suggested that, with proper adjustment of meteorological factors, satellite AOD can be used directly to estimate the acute health impacts of ambient particles without prior calibrating to the sparse ground monitoring networks. Keywords: Absolute humidity, Aerosol optical depth, Environmental health, Particulate matter, Satellite remote sensing
url http://www.sciencedirect.com/science/article/pii/S0160412012002358
work_keys_str_mv AT zhaoxiwang acutehealthimpactsofairborneparticlesestimatedfromsatelliteremotesensing
AT yangliu acutehealthimpactsofairborneparticlesestimatedfromsatelliteremotesensing
AT muhu acutehealthimpactsofairborneparticlesestimatedfromsatelliteremotesensing
AT xiaochuanpan acutehealthimpactsofairborneparticlesestimatedfromsatelliteremotesensing
AT jingshi acutehealthimpactsofairborneparticlesestimatedfromsatelliteremotesensing
AT fengchen acutehealthimpactsofairborneparticlesestimatedfromsatelliteremotesensing
AT kebinhe acutehealthimpactsofairborneparticlesestimatedfromsatelliteremotesensing
AT petroskoutrakis acutehealthimpactsofairborneparticlesestimatedfromsatelliteremotesensing
AT davidcchristiani acutehealthimpactsofairborneparticlesestimatedfromsatelliteremotesensing
_version_ 1725862962281840640