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http://dx.doi.org/10.7848/ksgpc.2020.38.4.295

A Study on Identification of the Heat Vulnerability Area Considering Spatial Autocorrelation - Case Study in Daegu  

Seong, Ji Hoon (Dept. of Spatial Information, Kyungpook National University)
Lee, Ki Rim (Dept. of Spatial Information, Kyungpook National University)
Kwon, Yong Seok (Daegu Gyeongbuk Development Institute)
Han, You Kyung (School of Convergence & Fusion System Engineering, Kyungpook National University)
Lee, Won Hee (School of Convergence & Fusion System Engineering, Kyungpook National University)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.38, no.4, 2020 , pp. 295-304 More about this Journal
Abstract
The IPCC (Intergovernmental Panel on Climate Change) recommended the importance of preventive measures against extreme weather, and heat waves are one of the main themes for establishing preventive measures. In this study, we tried to analyze the heat vulnerable areas by considering not only spatial characteristics but also social characteristics. Energy consumption, popu lation density, normalized difference vegetation index, waterfront distance, solar radiation, and road distribution were examined as variables. Then, by selecting a suitable model, SLM (Spatial Lag Model), available variables were extracted. Then, based on the Fuzzy theory, the degree of vulnerability to heat waves was analyzed for each variable, and six variables were superimposed to finally derive the heat vulnerable area. The study site was selected as the Daegu area where the effects of the heat wave were high. In the case of vulnerable areas, it was confirmed that the existing urban areas are mainly distributed in Seogu, Namgu, and Dalseogu of Daegu, which are less affected by waterside and vegetation. It was confirmed that both spatial and social characteristics should be considered in policy support for reducing heat waves in Daegu.
Keywords
Vulnerability Assessment; Heat Vulnerability Area; Climate Change; Moran's I; Spatial Regression;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
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1 Lee, G.G. and Cha, J.W. (2019), A study on identification of the heat vulnerability area - Case study in Chungcheongnamdo -, Journal Of The Korean Society Of Rural Planning, Vol. 25, No. 1, pp. 67-74. (in Korean with English abstract)
2 Lee, D.G., Byon, J.Y., Choi, Y.J. and Kim, K.R. (2010), Relationship between summer heat stress(perceived temperature) and daily excess mortality in Seoul during 1991-2005, Journal of Korean Society for Atmospheric Environment, Vol. 26, No. 3, pp. 253-264. (in Korean with English abstract)   DOI
3 Lim, S.H. and Cho, G.S. (1999), The application of fuzzy spatial overlay method to the site selection using GSIS, Korea Society of Surveying, Geodesy, Photogrammetry, and Cartography, Vol. 17, No. 2, pp. 177-187. (in Korean with English abstract)
4 Parry, M., Canziani, O., Palutikof, J., Linden, P and Hanson, C. (2007), Contribution of Working Group II to the Fifth Assessment Report of The Intergovernmental Panel on Climate Change, ISBN 978-0521-70597-4, Climate change, New York, pp. 1-976.
5 Robitu, M., Musy, M., Inard, C., and Groleau, D. (2006), Modeling the influence of vegetation and water pond on urban microclimate, Solar Energy, Vol. 80, No. 4, pp. 435-447.   DOI
6 Yun, S.G., Choi, B.S. and Jeon, E.C. (2013), A study on vulnerability assessment to climate change in Siheung-si, Journal of Climate Change Research, Vol. 4, No. 1, pp. 1-10. (in Korean with English abstract)
7 Choi, Y.S., Kim, J.W. and Lim. U. (2018), An analysis on the spatial patterns of heat wave vulnerable areas and adaptive capacity vulnerable areas in Seoul, Journal of Korea Planning Association, Vol. 53, NO. 7, pp. 87-107. (in Korean with English abstract)   DOI
8 Cho, H.M., Ha, J.H. and Lee, S.G. (2019), Exploring physical environments, demographic and socioeconomic characteristics of urban heat island effect areas in Seoul, Korea, Journal of the Korean Regional Science Association, Vol. 35, No. 4, pp. 61-73. (in Korean with English abstract)   DOI
9 Giridharan, R., Ganesan, S., and Lau, S. S. Y. (2004), Daytime urban heat island effect in high-rise and highdensity residential developments in Hong Kong, Energy and Buildings, Vol. 36, No.6, pp. 525-534.   DOI
10 Kim, E.Y., Jeon, S.W., Lee, J.W., Park, Y.H. and Lee, D.K. (2012), Local adaptation plan to climate change impact in Seoul: focused on heat wave effects, Journal of Environmental Impact Assessment, Vol. 21, No. 1, pp. 71-80. (in Korean with English abstract)   DOI
11 Kim, J.H. and Kim, H.D. (2017), Spatial distribution of air temperature during an extreme heat period in Daegu metropolitan area in 2016, Journal of Environmental Science International, Vol. 26, No. 9, pp. 1023-1029. (in Korean with English abstract)   DOI
12 Kim, J.S., Lee, D.K., Sung, S.Y., Jeong, S.G. and Park, J.H. (2015), Study of vulnerable district characteristics on urban heat island according to land use using normalized index - focused on Daegu Metropolitan City residential district -, Journal of Korea Planning Association, Vol. 50, No. 5, pp. 59-72. (in Korean with English abstract)   DOI
13 Kwon, Y.S., Jeong, K.W. and Choi, Y.J. (2017), Strategy Against Heat Wave in Urban Area of Metropolitan Region of Daegu, Report 2017-25, ISBN 978-89-8288-579-2 Daegu Gyeongbuk Development Institute, Daegu, pp. 1-128.
14 Kim, K.K. (2003), Detecting spatial autocorrelation and using spatial regression, Korean Journal of Policy Analysis and Evaluation, Vol. 13, No. 1, pp. 273-294.(in Korean)
15 Ahn, J.S. and Kim, H.D. (2006), On the seasonal variation of urban heat island intensity according to meteorological condition in Daegu, J. Environ. Science, Vol. 15, No. 6, pp. 527-532. (in Korean with English abstract)
16 Korea Meteorological Administration. (2018), Newsletter Abnormal Climate Monitoring, No. 11-1360000-000072-08, Korea Meteorological Administration, Seoul, pp. 1-2
17 Kwon, Y.S. (2015), Consideration for a Environment-Friendly City by Reducing the Urban Heat Effect, ISBN 978-89-8288-482-5, Daegu Gyeongbuk Development Institute Daegu, pp. 1-122.
18 Kwon, Y.S. (2018), Estimation and countermeasure of the heat wave cause of Daegu Metropolitan basin from the urban structural dimension, The Korea Spatial Planning Review, pp. 23-35. (in Korean with English abstract)
19 Anselin, L. (1995), SpaceStat Version 1.80 User's Guide, Regional Research Institute, West Virginia University.