Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/66010
PIRA download icon_1.1View/Download Full Text
Title: A new approach for estimation of fine particulate concentrations using satellite aerosol optical depth and binning of meteorological variables
Authors: Bilal, M 
Nichol, JE 
Spak, SN
Issue Date: Feb-2017
Source: Aerosol and air quality research, Feb. 2017, v. 17, no. 2, p. 356-367
Abstract: Fine particulate matter (PM2.5) has recently gained attention worldwide as being responsible for severe respiratory and cardiovascular diseases, but point based ground monitoring stations are inadequate for understanding the spatial distribution of PM2.5 over complex urban surfaces. In this study, a new approach is introduced for prediction of PM2.5 which uses satellite aerosol optical depth (AOD) and binning of meteorological variables. AOD from the MODerate resolution Imaging Spectroradiometer (MODIS) Collection 6 (C006) aerosol products, MOD04_3k Dark-Target (DT) at 3 km, MOD04 DT at 10 km, and MOD04 Deep-Blue (DB) at 10 km spatial resolution, and the Simplified Aerosol Retrieval Algorithm (SARA) at 500 m resolution were obtained for Hong Kong and the industrialized Pearl River Delta (PRD) region. The SARA AOD at 500 m alone achieved a higher correlation (R = 0.72) with PM2.5 concentrations than the MODIS C6 DT AOD at 3 km (R = 0.60), the DT AOD at 10 km (R = 0.61), and the DB AOD at 10 km (R = 0.51). The SARA binning model ([PM2.5] = 110.5 [AOD] + 12.56) was developed using SARA AOD and binning of surface pressure (996-1010 hPa). This model exhibits good correlation, accurate slope, low intercept, low errors, and accurately represents the spatial distribution of PM2.5 at 500 m resolution over urban areas. Overall, the prediction power of the SARA binning model is much better than for previous models reported for Hong Kong and East Asia, and indicates the potential value of applying meteorologicallyspecific empirical models and incorporating boundary layer height in operational PM2.5 forecasting from satellite AOD retrievals.
Keywords: Binning approach
Hong Kong
MOD04 C006
PM2.5
SARA AOD
Publisher: Chinese Association for Aerosol Research in Taiwan
Journal: Aerosol and air quality research 
ISSN: 1680-8584
DOI: 10.4209/aaqr.2016.03.0097
Rights: Copyright © Taiwan Association for Aerosol Research
This is an open access article under the Creative Commons Attribution 4.0 License (CC BY 4.0)(https://creativecommons.org/licenses/by/4.0/)
The following publication Bilal, M., Nichol, J.E. and Spak, S.N. (2017). A New Approach for Estimation of Fine Particulate Concentrations Using Satellite Aerosol Optical Depth and Binning of Meteorological Variables. Aerosol Air Qual. Res. 17: 356-367 is available at https://doi.org/10.4209/aaqr.2016.03.0097
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
aaqr-16-03-2015aac-0097.pdf5.88 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

131
Last Week
1
Last month
Citations as of Mar 24, 2024

Downloads

30
Citations as of Mar 24, 2024

SCOPUSTM   
Citations

62
Last Week
1
Last month
Citations as of Mar 28, 2024

WEB OF SCIENCETM
Citations

54
Last Week
1
Last month
Citations as of Mar 28, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.