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http://dx.doi.org/10.11108/kagis.2020.23.3.068

Analysis of Relationship between the Spatial Characteristics of the Elderly Population Distribution and Heat Wave based on GIS - focused on Changwon City -  

SONG, Bong-Geun (Institute of Industrial Technology, Changwon National University)
PARK, Kyung-Hun (School of Civil, Environmental and Chemical Engineering, Changwon National University)
KIM, Gyeong-Ah (Institute of Industrial Technology, Changwon National University)
KIM, Seoung-Hyeon (Dept. of Smart Ocean Environmental Energy, Changwon National University)
Park, Geon-Ung (Dept. of Smart Ocean Environmental Energy, Changwon National University)
MUN, Han-Sol (Dept. of Environmental Engineering, Changwon National University)
Publication Information
Journal of the Korean Association of Geographic Information Studies / v.23, no.3, 2020 , pp. 68-84 More about this Journal
Abstract
This study analyzed the relationship between spatial characteristics and heat waves in the distribution area of the elderly population in Changwon, Gyeongsangnam-do. For analysis, the Statistics Census data, the Ministry of Environment land cover, Landsat 8 surface temperature, and the Meteorological Agency's heat wave days data were used. The spatial characteristics of the distribution of the elderly population was classified into 5 types through K-mean cluster analysis considering the land use types. The characteristics of the elderly population by spatial type were higher in the urbanized type(cluster-3), but the proportion of the elderly population was higher in the agricultural and forest area types(cluster-1, cluster-2). In the characteristics of the surface temperature and the heat wave days, the surface temperature was the highest in the urban area, but heat wave days were the highest in the rural area. As a result of analyzing the heat wave characteristics according to the spatial type of the distribution area of elderly population, cluster-2 with the largest area in agricultural areas was highest at 15.95 days, and cluster-3 with a large area in urbanized types was the lowest at 9.41 days and 9.18 days. In other words, the elderly population living in rural areas is more exposed to heat waves than the elderly population living in urban areas, and the damage is expected to increase. The results of this study could be used as basic data to prepare various policy measures for effective management and prevention of vulnerable areas in summer.
Keywords
Heat Wave; GIS; Elderly population; Landsat 8; Python;
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