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KMID : 1156220140400050355
Journal of Environmental Health Sciences
2014 Volume.40 No. 5 p.355 ~ p.366
Health Vulnerability Assessment for PM10 in Busan
Lee Won-jung

Hwang Mi-Kyoung
Kim Yoo-Keun
Abstract
Objectives: This study seeks to evaluate the vulnerability assessment of the human health sector for PM10, which is reflected in the regional characteristics and related disease mortality rates for PM10 in Busan over the period of 2006-2010.

Methods: According to the vulnerability concept suggested by the Intergovernmental Panel on Climate Change (IPCC), vulnerability to PM10 is comprised of the categories of exposure, sensitivity, and adaptive capacity. The indexes of the exposure and sensitivity categories indicate positive effects, while the adaptive capacity index indicates a negative effect on vulnerability to PM10. Variables of each category were standardized by the rescaling method, and each regional relative vulnerability was computed through the vulnerability index calculation formula.

Results: The regions with a high exposure index are Jung-Gu (transportation region) and Saha-Gu (industrial region). Major factors determining the exposure index are the PM10 concentration, days of PM10 ¡Ã 50 ,¥ìg/m3, and PM10 emissions. The regions that show a high sensitivity index are urban and rural regions; these commonly have a high mortality rate for related disease and vulnerable populations. The regions that have a high adaptive capacity index are Jung-Gu, Gangseo-Gu, and Busanjin-Gu, all of which have a high level of economic/welfare/health care factors. The high-vulnerability synthesis of the exposure, sensitivity, and adaptive capacity indexes show that Dong-Gu and Seo-Gu have a risk for PM10 potential effects and a low adaptive capacity.

Conclusions: This study presents the vulnerability index to PM10 through a relative comparison using quantitative evaluation to draw regional priorities. Therefore, it provides basic data to reflect environmental health influences in favor of an adaptive policy limiting damage to human health caused by vulnerability to PM10.
KEYWORD
Adaptation, Climate change, Geographic information system (GIS), Health vulnerability assessment, PM10
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