A Preliminary Study of Urban Airborne Inhalable Particle Spatial Distribution and their Mechanism in Beijing using RS and GIS

The spatial distribution of PM0.3 PM0.5 and PM1.0 concentration are simulated by monitoring data obtained from 73 air sampling stations in Beijing urban city and Kriging techniques. By taking streets and towns as the basic spatial analysis unit, some factors are mapped influencing urban airborne inhalable particulates pollutions such as urban ground surface types, population density based on GIS and RS. The correlation between PM0.3 PM0.5 and PM1.0 and their influencing factors are quantitatively evaluated by using GIS multifactor integrated analysis and GIS overlay of ranked data layers. Meanwhile, according to the concentration of particles in different weather conditions showing different regularity, we also analysis possible meteorological factors such as temperature (in degC), relative humidity (in %) and wind speed (in m/s). This article discovers the key factors and their mechanism. At last, several constructive strategies are delivered.