Spatial and Temporal Variations of Air Pollution Exposure Risk based on Geo-information Technology Aided Proximity Model

摘要

This paper proposed a framework potential forassessing regional spatial and temporal variations of airpollution exposure risk by combing Geo-information TechnologyAided Proximity Model (GTAPM) and GIS interpolationtechnology in areas with limited access to data inputs (e.g.emission data, meteorological data). In this process, the exposurerisks to sulfur dioxide (SO2) for Dallas and Ellis counties in 1996and 2002 were assessed firstly at annual scale based on GTAPM;then, the spatial and temporal variations of annual SO_2exposurerisk in Dallas and Ellis counties were evaluated based on GISspatial interpolation technology and overlay analysis operation.The results indicate that the annual SO_2exposure risk in Dallasand Ellis counties are spatially different in both 1996 and 2002.While areas with lower levels of variations were mainlydistributed in most central parts of study area, the areas withrelative higher levels of variations emerged in the northern partof Dallas county and southeastern of Ellis County. The resultsalso suggest that while the annual SO_2exposure risk in minorityareas with relative high exposure risks in 1996 seemed to bereduced over the period of 1996 to 2002, those in majority areaswith relative lower exposure risks in 1996 increased a lot. Theannual SO_2exposure riskof entire study areaappeared toincrease. Therefore, it can be concluded that GTAPM caneffectively and efficiently evaluate air pollution exposure riskand its spatial and temporal variations in area without airquality observation data and related input data for air dispersionmodeling.