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High-resolution satellite-based analysis of ground-level PM2.5 for the city of Montreal.
Sci Total Environ. 2016 Jan 15; 541:1059-1069.ST

Abstract

Satellite remote sensing offers the opportunity to determine the spatial distribution of aerosol properties and could fill the gap of ground-level observations. Various algorithms have recently been developed in order to retrieve the aerosol optical depth (AOD) at continental scales. However, they are, to some extent, subject to coarse spatial resolutions which are not appropriate for intraurban scales as usually needed in health studies. This paper presents an improved AOD retrieval algorithm for satellite instrument MODIS at 1-km resolution for intraurban scales. The MODIS-retrieved AODs are used to derive the ground-level PM2.5 concentrations using the aerosol vertical profiles and local scale factors obtained from the GEOS-Chem model simulation. The developed method has been applied to retrieve the AODs and to evaluate the ground-level PM2.5 over the city of Montreal, Canada for 2009 on daily, monthly and annual scales. The daily and monthly results are compared with the monitoring values with correlations R(2) ranging from 0.86 to 0.93. Especially, the annual mean PM2.5 concentrations are in good agreement with the measurement values at all monitoring stations (r=0.96, slope=1.0132 ± 0.0025, intercept=0.5739 ± 0.0013). This illustrates that the developed AOD retrieval algorithm can be used to retrieve AODs at a higher spatial resolution than previous studies to further derive the regional full coverage PM2.5 results at finer spatial and temporal scales. The study results are useful in health risk assessment across this region.

Authors+Show Affiliations

Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, Quebec H3G 1M8, Canada.Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, Quebec H3G 1M8, Canada. Electronic address: zhichen@alcor.concordia.ca.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

26473708

Citation

Wang, Baozhen, and Zhi Chen. "High-resolution Satellite-based Analysis of Ground-level PM2.5 for the City of Montreal." The Science of the Total Environment, vol. 541, 2016, pp. 1059-1069.
Wang B, Chen Z. High-resolution satellite-based analysis of ground-level PM2.5 for the city of Montreal. Sci Total Environ. 2016;541:1059-1069.
Wang, B., & Chen, Z. (2016). High-resolution satellite-based analysis of ground-level PM2.5 for the city of Montreal. The Science of the Total Environment, 541, 1059-1069. https://doi.org/10.1016/j.scitotenv.2015.10.024
Wang B, Chen Z. High-resolution Satellite-based Analysis of Ground-level PM2.5 for the City of Montreal. Sci Total Environ. 2016 Jan 15;541:1059-1069. PubMed PMID: 26473708.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - High-resolution satellite-based analysis of ground-level PM2.5 for the city of Montreal. AU - Wang,Baozhen, AU - Chen,Zhi, Y1 - 2015/11/11/ PY - 2015/07/19/received PY - 2015/09/21/revised PY - 2015/10/06/accepted PY - 2015/10/17/entrez PY - 2015/10/17/pubmed PY - 2016/8/12/medline KW - Aerosol optical depth KW - GEOS-Chem KW - MODIS KW - PM(2.5) KW - Satellite data retrieval SP - 1059 EP - 1069 JF - The Science of the total environment JO - Sci Total Environ VL - 541 N2 - Satellite remote sensing offers the opportunity to determine the spatial distribution of aerosol properties and could fill the gap of ground-level observations. Various algorithms have recently been developed in order to retrieve the aerosol optical depth (AOD) at continental scales. However, they are, to some extent, subject to coarse spatial resolutions which are not appropriate for intraurban scales as usually needed in health studies. This paper presents an improved AOD retrieval algorithm for satellite instrument MODIS at 1-km resolution for intraurban scales. The MODIS-retrieved AODs are used to derive the ground-level PM2.5 concentrations using the aerosol vertical profiles and local scale factors obtained from the GEOS-Chem model simulation. The developed method has been applied to retrieve the AODs and to evaluate the ground-level PM2.5 over the city of Montreal, Canada for 2009 on daily, monthly and annual scales. The daily and monthly results are compared with the monitoring values with correlations R(2) ranging from 0.86 to 0.93. Especially, the annual mean PM2.5 concentrations are in good agreement with the measurement values at all monitoring stations (r=0.96, slope=1.0132 ± 0.0025, intercept=0.5739 ± 0.0013). This illustrates that the developed AOD retrieval algorithm can be used to retrieve AODs at a higher spatial resolution than previous studies to further derive the regional full coverage PM2.5 results at finer spatial and temporal scales. The study results are useful in health risk assessment across this region. SN - 1879-1026 UR - https://www.unboundmedicine.com/medline/citation/26473708/High_resolution_satellite_based_analysis_of_ground_level_PM2_5_for_the_city_of_Montreal_ DB - PRIME DP - Unbound Medicine ER -