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The AAPG/Datapages Combined Publications Database

Environmental Geosciences (DEG)

Abstract

Environmental Geosciences, V. 17, No. 1 (March 2010), P. 1–16.

Copyright copy2010. The American Association of Petroleum Geologists/Division of Environmental Geosciences. All rights reserved.

DOI:10.1306/eg.04210909004

GIS spatial analysis of population exposure to fine particulate air pollution in Beijing, China

Tao Tang,1 Wenji Zhao,2 Huili Gong,3 Xiaojuan Li,4 Ke Zang,5 Joel D. Bernosky,6 Wenhui Zhao,7 Shanshan Li8

1Department of Geography and Planning, State University of New York-College at Buffalo, 1300 Elmwood Ave., Buffalo, New York 14222-1095; [email protected]
2Beijing Municipal GIS and Remote Sensing Laboratory, College of Natural Resources, Environment, and Tourism, Capital Normal University, 105 Xisanhuanbei Rd., Beijing 100037, China; [email protected]
3Beijing Municipal GIS and Remote Sensing Laboratory, College of Natural Resources, Environment, and Tourism, Capital Normal University, 105 Xisanhuanbei Rd., Beijing 100037, China
4Beijing Municipal GIS and Remote Sensing Laboratory, College of Natural Resources, Environment, and Tourism, Capital Normal University, 105 Xisanhuanbei Rd., Beijing 100037, China
5Beijing Municipal GIS and Remote Sensing Laboratory, College of Natural Resources, Environment, and Tourism, Capital Normal University, 105 Xisanhuanbei Rd., Beijing 100037, China
6Department of Geography and Planning, State University of New York-College at Buffalo, 1300 Elmwood Ave., Buffalo, New York 14222-1095
7Beijing Municipal GIS and Remote Sensing Laboratory, College of Natural Resources, Environment, and Tourism, Capital Normal University, 105 Xisanhuanbei Rd., Beijing 100037, China
8Beijing Municipal GIS and Remote Sensing Laboratory, College of Natural Resources, Environment, and Tourism, Capital Normal University, 105 Xisanhuanbei Rd., Beijing 100037, China

AUTHORS

Tao Tang received his B.S. degree from Northwest University of China in 1982 and M.S. degrees from the Chinese Academy of Sciences and the University of Guelph, Ontario, Canada, in 1985 and 1989, respectively. He received his Ph.D. from the University of Wisconsin, Milwaukee, in 1997. He is currently an associate professor at the State University of New York-College at Buffalo.

Wenji Zhao received his B.S. and M.S. degrees and Ph.D. from the College of Earth Science, Jilin University in 1989, 1992, and 1998, respectively. He is currently a professor at the College of Resource Environment and Tourism, Capital Normal University. His research interests include groundwater resources and the application of a remote sensing model.

Huili Gong received his B.S. and M.S. degrees and Ph.D. in hydrogeology and engineering geology from Changchun Geological College, P.R. China, in 1986, 1993, and 1996, respectively. He is currently a professor at the College of Resources, Environment, and Tourism, Capital Normal University.

Xiaojuan Li received her B.S. and M.S. degrees from the College of Earth Science, East China Normal University in 1986 and 1991, respectively. In 1999, she received her Ph.D. from the Institute of Remote Sensing Applications Chinese Academy of Sciences. She is currently a professor at College of Resource Environment and Tourism, Capital Normal University. Her research interests include the study of dynamic monitoring on resources and environment.

Ke Zang received his B.S. and M.S. degrees from the College of Resource Environment and Tourism, Capital Normal University in 2004 and 2007, respectively. He is currently an assistant researcher at the National Disaster Reduction Center of China, Ministry of Civil Affairs.

Joel D. Bernosky received his B.S. degree from the University at Buffalo and his M.S. degree from the State University of New York-College at Buffalo. He helped in analyzing some data of this publication when he did a course with T. Tang.

Wenhui Zhao received her B.S. degree from the College of Earth Science, Jilin University, in 2005. In 2008, she received her M.S. degree from the College of Resource Environment and Tourism, Capital Normal University. She is currently a Ph.D. candidate at the College of Resource Environment and Tourism, Capital Normal University. Her research interests include atmospheric remote sensing and the application of a remote sensing model.

Shanshan Li received her B.S. degree from Linyi Normal University in 2006. In 2009, she received her M.S. degree from the College of Resource Environment and Tourism, Capital Normal University. She is currently a Ph.D. candidate at the College of Resource Environment and Tourism, Capital Normal University. Her research interests include urban heat island.

ACKNOWLEDGEMENTS

The authors would like thank the following faculty and graduate students at the Capital Normal University of China for their help of logistics and implementation of the field survey: Lin Zhu, Zhaoning Gong, and Yongbao Chen. The authors are also grateful to the editor and associate editor of this journal and anonymous reviewers for their valuable critiques and comments during the revision process of this article.

ABSTRACT

This research diagnoses the exposure of the residential population and the vulnerable groups of children and elderly people to air particle pollution in urban Beijing. We surveyed the air particle pollutant concentrations in the field. We used a universal kriging model in a geographic information system to interpolate the spatial distributions of each pollutant. Spatial patterns of air particle pollution were overlaid to community-level population distributions to identify the community exposures to high air particle pollution. Spatial and statistic modeling reveals that high concentration of ultra-fine air particles of particulate matter (PM) 0.3 mum is strongly associated with high-population urban communities in the southwest and central western areas in the winter season. By contrast, all the other particle sizes surveyed (PMs of 0.5, 1.0, 3.0, and 5.0 mum) indicate that high concentrations in the summer are associated with high-population communities. Reversed spatial and temporal patterns between PM 0.3 mum and other particle sizes suggest that PM 0.3 mum may have different sources of origin.

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