title: Analysis of airborne particulate matter (PM2.5) over Hong Kong using remote sensing and GIS.
abstract: Airborne fine particulates (PM(2.5); particulate matter with diameter less than 2.5 μm) are receiving increasing attention for their potential toxicities and roles in visibility and health. In this study, we interpreted the behavior of PM(2.5) and its correlation with meteorological parameters in Hong Kong, during 2007-2008. Significant diurnal variations of PM(2.5) concentrations were observed and showed a distinctive bimodal pattern with two marked peaks during the morning and evening rush hour times, due to dense traffic. The study observed higher PM(2.5) concentrations in winter when the northerly and northeasterly winds bring pollutants from the Chinese mainland, whereas southerly monsoon winds from the sea bring fresh air to the city in summer. In addition, higher concentrations of PM(2.5) were observed in rush hours on weekdays compared to weekends, suggesting the influence of anthropogenic activities on fine particulate levels, e.g., traffic-related local PM(2.5) emissions. To understand the spatial pattern of PM(2.5) concentrations in the context of the built-up environment of Hong Kong, we utilized MODerate Resolution Imaging Spectroradiometer (MODIS) Aerosol Optical Thickness (AOT) 500 m data and visibility data to derive aerosol extinction profile, then converted to aerosol and PM(2.5) vertical profiles. A Geographic Information Systems (GIS) prototype was developed to integrate atmospheric PM(2.5) vertical profiles with 3D GIS data. An example of the query function in GIS prototype is given. The resulting 3D database of PM(2.5) concentrations provides crucial information to air quality regulators and decision makers to comply with air quality standards and in devising control strategies.
authors.affiliation: Joint Laboratory on Geo-Spatial Information Science, The Hong Kong Polytechnic University, Hong Kong, China. lswzshi@polyu.edu.hk
authors.forename: Wenzhong
authors.initials: W
authors.lastname: Shi
authors.forename: Man Sing
authors.initials: MS
authors.lastname: Wong
authors.forename: Jingzhi
authors.initials: J
authors.lastname: Wang
authors.forename: Yuanling
authors.initials: Y
authors.lastname: Zhao
mesh_terms: D040362:Geographic Information Systems; D005843:Geography; D006723:Hong Kong; D008685:Meteorological Concepts; D010316:Particle Size; D052638:Particulate Matter / Q000032:analysis* / Q000737:chemistry*; D058998:Remote Sensing Technology / Q000379:methods*; D012621:Seasons; D013997:Time Factors
chemical_list: D052638:Particulate Matter