A GIS-Based Environmental Justice Analysis of Ambient Air Pollution: a Comparison between Urban and Rural Areas

Fen Peng; Bin Zou

doi:10.4028/www.scientific.net/AMR.610-613.3676

Paper Titles

Study on the Change of Vegetation Cover in Eastern Jilin Province Based on RS and GIS Technology
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Dynamic Change and Forecast of per Unit Area Grain Yield Based on Grey System Theory in Suzhou City
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Design and Realization of Forest Fire Monitoring System Based on GIS in Henan Province, China
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An Automatic Detection Algorithm of Bridges above Water in Aerial Images
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A GIS-Based Environmental Justice Analysis of Ambient Air Pollution: a Comparison between Urban and Rural Areas
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Digital Aerial Photo Orientation within the Different Algorithm Analysis
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Changing Information Extraction of Coastal Accretion-Erosion from High Resolution Satellite Images
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The Application of GIS Techniques in Soil Testing and Fertilizer Recommendations: Part III the Distribution of Soil Organic Matters in Hainan, China
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The Application of GIS Techniques in Soil Testing and Fertilizer Recommendations: Part I a Review
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 610-613A GIS-Based Environmental Justice Analysis of...

A GIS-Based Environmental Justice Analysis of Ambient Air Pollution: a Comparison between Urban and Rural Areas

Abstract:

Using general loglinear analysis and GIS spatial analysis, we evaluated the socio-economic inequities in exposure to SO₂ in the urban and rural areas at census scale. The results show that differences of exposure inequities among socioeconomic groups exist in the urban and rural areas. Further studies are needed to analyze the impacts of scales and statistical methods on the accuracy of air pollution exposure justice assessment.

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Periodical:

Advanced Materials Research (Volumes 610-613)

Pages:

3676-3679

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.610-613.3676

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Online since:

December 2012

Authors:

Fen Peng, Bin Zou

Keywords:

Air Pollution Exposure, General Loglinear, GIS, SO₂, Socio-Economic Characteristics

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