A GIS-Aided Method for Assessing High-Resolution Population Exposure to Environmental Pollutants

Bin Zou; Fen Peng; Si Xuan Chen; Yan Qing Luo

doi:10.4028/www.scientific.net/AMR.610-613.3738

Paper Titles

The Study of Dynamic Changes of Sea Ice in Antarctic Nearly a Decade under the Context of Global Warming
p.3715

Spatio-Temporal Analysis of Urban Heat Island of Nantong City Based on TM/ETM+ Images
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Massive 3D Models Automatically Optimize and Application of Network Research
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Application of Spatial Sampling to Remote Sensing Monitoring of Forest Cover Area
p.3732

A GIS-Aided Method for Assessing High-Resolution Population Exposure to Environmental Pollutants
p.3738

Study on Methods of Retrieval of Sea Surface Temperature by Using Remote Sensing Data
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Comparison Operator Edge Detection Based on Remote Sensing of Marine Oil Spill
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Spatio-Temporal Variation of Vegetation NDVI in China from 2001 to 2011
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An Exploration on the Land Replacement Village Migration Model in Coal Areas and the Construction Land Index Coordination Mechanism – Take a Coal Mine in Shandong Province as a Case
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 610-613A GIS-Aided Method for Assessing High-Resolution...

A GIS-Aided Method for Assessing High-Resolution Population Exposure to Environmental Pollutants

Abstract:

Through integrating air dispersion model, Geographical Information System (GIS) spatial analysis and Population Dasymetric Mapping Model (PDMM), we firstly conducted high-resolution simulations of air pollution concentration and population spatial distribution. Then, a method for Assessing Population Relative Risks of Air Pollution Exposure (MAPRRAPE) was proposed and implemented for spatial zoning of population exposure to SO2 at various levels by taking Tarrant County as a case. The results show that the population exposure to SO2 for Tarrant County in 2000 detected by air pollution concentration method obviously differs from those produced by MAPRRAPE. While the results disclose the defect of the air pollution concentration based population exposure (e.g., Non-inhabit areas with high SO2 concentration are usually misrecognized with high population exposure), it thereby conversely confirms the significance of MAPRRAPE in decision making for preventing and controlling regional air pollution exposure.

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Periodical:

Advanced Materials Research (Volumes 610-613)

Pages:

3738-3741

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.610-613.3738

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Online since:

December 2012

Authors:

Bin Zou, Fen Peng, Si Xuan Chen, Yan Qing Luo

Keywords:

Air Pollution, Environmental Health, Population Exposure, Risk Evaluation, Spatial Analysis

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