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This research analyzes the spatial clusters of low quality building structures in Cancun and Chetumal, Mexico applying high spatial resolution satellite images. The objective of this research is to visualize the vulnerable areas of building structures in the two cities, in hopes of helping for the planning the disaster management and mitigating damages during a hurricane event. Five categories of...
This research visualizes the spatial patterns of diagnosed colon and lung cancer mortalities across the New York State. Kernel density analysis was applied to visualize the spatial patterns of old industrial sites across the state. Geographically Weighted Regression (GWR) was applied to model the possible pollution impact of old industrial sites on colon and lung cancer incidents. GWR is a local spatial...
Air pollutants, specifically inhalable particulate matter (IPM) in the atmosphere, has received extensive attention, mainly because of their adverse effect on people's health. The aim of this study was to investigate the spatio-temporal variability of the IPM from 2007 to 2008 and the relationship between air pollution and respiratory symptoms in people living in Beijing western area. Size-segregated...
To identify the inhalable particle matter (IPM) sources and to estimate the variability in their contributions to inhalable particle concentrations across the Beijing city, the spatial distribution of PM0.3, PM1.0 and PM3.0 concentration are simulated by monitoring data obtained from 93 air sampling stations in Beijing urban city and Kriging techniques. Inhalable particles in this study had aerodynamic...
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...
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