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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhao Wen-hui Gong Hui-li Zhao Wen-ji Lin Zhu Tao Tang |
| Copyright Year | 2009 |
| Description | Author affiliation: College of Resources Environment and Tourism, Capital Normal University, Beijing, China (Zhao Wen-hui; Gong Hui-li; Zhao Wen-ji; Lin Zhu) || Department of Geography and Planning, State University of New York College at Buffalo, USA (Tao Tang) |
| Abstract | The quality and pollution of inhalable particulate matter (short for IPM) and its impact on the environment and particularly on human health, is an issue of significant public and governmental concern. It has a great realistic meaning on analyzing its spatial characteristic and influencing factors for setting down the more effective controlling policies on IPM. Therefore, there is a need to better understand the spatial variability of inhalable particles across regional air pollution study and the variation in exposure to inhalable particles arising from different sources. In this paper, our research is focus on the spatial variation of inhalable particulate in different aerodynamic diameter from 2007 to 2008 in Beijing urban city, meanwhile, we analyst the correlativity between IPM and some influence factors. Furthermore, by means of CCA (canonical correlation analysis) between IPM concentration and meteorological factors, the influences of meteorological factors on pollutant concentration were compared. |
| File Size | 236163 |
| File Format | |
| ISBN | 9781424433940 |
| DOI | 10.1109/IGARSS.2009.5417983 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-12 |
| Publisher Place | South Africa |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Air pollution Testing Cities and towns Sampling methods Geographic Information Systems Aerodynamics Aerosols Frequency Educational institutions Geography GIS inhalable particulate matter spatial variation CCA Kriging interpolation |
| Content Type | Text |
| Resource Type | Article |
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