1. Anbalagan, R, Kumar, R, Lakshmanan, K, Parida, S, and Neethu, S (2015) Landslide hazard zonation mapping using frequency ratio and fuzzy logic approach, a case study of Lachung Valley, Sikkim.
Geoenvironmental Disasters, Vol. 2, No. 1, pp. 1-17.
2. Azhar, G, Saha, S, Ganguly, P, Mavalankar, D, and Madrigano, J (2017) Heat wave vulnerability mapping for India.
Int. J. Environ. Res. Public Health, Vol. 14, pp. 357.
4. Das, S, Ghosh, A, Hazra, S, Ghosh, T, de Campos, R.S, and Samanta, S (2020) Linking IPCC AR4 &AR5 frameworks for assessing vulnerability and risk to climate change in the indian bengal delta.
Progress in Disaster Science, Vol. 7, pp. 100110.
5. Dubey, A.K, Lal, P, Kumar, P, Kumar, A, and Dvornikov, A.Y (2021) Present and future projections of heatwave hazard-risk over India:A regional earth system model assessment.
Environmental Research, Vol. 201, pp. 111573.
6. Fariza, A, Abhimata, N.P, and Hasim, J.A.N (2016) Earthquake disaster risk map in East Java, Indonesia, using analytical hierarchy process - natural break classification.
Proceedings of the 2016 International Conference on Knowledge Creation and Intelligent Computing, IEEE, pp. 141-147.
7. Intergovernmental Panel on Climate Change (IPCC) (2012) Managing the risks of extreme events and disasters to advance climate change adaptation. A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change. Cambridge University Press.
8. Jenks, G.F (1967) The data model concept in statistical mapping. International Yearbook of Cartography, Vol. 7, pp. 186-190.
9. Kim, D, Jang, C.-R, Cho, J.-Y, Jang, M.-Y, and Song, J (2021) Development of heatwave probability prediction model based on recurrent neural network:A case of seoul metropolitan government.
J. Korean Soc. Hazard Mitig, Vol. 21, No. 5, pp. 49-57.
10. Kim, D, Kim, J.E, Jang, C.-R, and Jang, M.-Y (2021) Assessment of heatwave vulnerability in Korea considering socio-economic indices.
J. Korean Soc. Hazard Mitig, Vol. 21, No. 5, pp. 39-47.
11. Kim, J, Kwon, T.-H, Lee, J.-M, and Kim, Y (2019) Identifying major components of extreme heatwave risk assessment indexes in urban areas.
KIEAE Journal, Vol. 19, No. 5, pp. 5-10.
12. Kim, J.E, Yu, J, Ryu, J.-H, Lee, J.-H, and Kim, T.-W (2021) Assessment of regional drought vulnerability and risk using principal component analysis and a gaussian mixture model.
Nat. Hazards, Vol. 109, No. 1, pp. 707-724.
13. Korea Environment Institute (KEI) (2020) 2020 Heatwave impact report (2020 폭염영향 보고서).
14. Korea Meteorological Administration (KMA) (2020) Korean climate change assessment report 2020 (한국 기후변화 평가보고서 2020).
15. Lee, H.J, Yun, H.S, and Han, H (2021) Comparison of rating methods by disaster indicators. Journal of the Society of Disaster Information, Vol. 17, No. 2, pp. 319-328.
16. Lee, S.-H, Kang, J.E, Bae, H.J, and Yoon, D.K (2015) Vulnerability assessment of the air pollution using entropy weights:Focused on ozone. J. Korean Assoc. Reg. Geogr, Vol. 21, No. 4, pp. 751-763.
17. Lim, Y.-H (2019) The health effects of heat waves. Health and Welfare Policy Forum, Vol. 2019, No. 3, pp. 7-19.
18. Liu, A, and Schisterman, E.F (2004). Principal component analysis. In: Chow S.-C, ed.
Encyclopedia of Biopharmaceutical Statistics. p 1796-1801. New York, USA: CPC Press.
19. Liu, Y, Feng, G, Xue, Y, Zhang, H, and Wang, R (2015) Small-scale natural disaster risk scenario analysis:A case study from the town of shuitou, Pingyang County, Wenzhou, China.
Nat. Hazards, Vol. 75, No. 3, pp. 2167-2183.
20. Macnee, R.G, and Tokai, A (2016) Heat wave vulnerability and exposure mapping for Osaka city, Japan.
Environ. Syst. Decis, Vol. 36, pp. 368-376.
21. Mendez-Lazaro, P, Muller-Karger, F.E, Otis, D, McCarthy, M.J, and Rodriguez, E (2018) A heaet vulnerability index to improve urban public health management in San Juan, Puerto Rico.
Int. J. Biometeorol, Vol. 62, pp. 709-722.
22. National Disaster Management Institute (NDMI) (2019) Assessment and prediction analysis on regional heat wave and cold wave risk.
23. National Institute of Meteorological Sciences (NIMS) (2020) Report on climate change on the Korean peninsula (한반도 기후변화 전망보고서 2020).
24. National Institute of Meteorological Sciences (NIMS) (2021) Detailed climate change outlook report in South Korea (남한상세 기후변화 전망보고서).
25. Nayak, S.G, Shrestha, S, Kinney, P.L, Ross, Z, Sheridan, S.C, Pantea, C.I, et al (2018) Development of a heat vulnerability index for New York State.
Public Health, Vol. 161, pp. 127-137.
26. Overland, J.E (2021) Causes of the record-breaking pacific northwest heatwave, late june 2021.
Atmosphere, Vol. 12, No. 11, pp. 1434.
27. Papathoma-Koehle, M, Promper, C, Bojariu, R, Cica, R, Sik, A, Perge, K, et al (2016) A common methodology for risk assessment and mapping for south-east europe:An application for heat wave risk in romania.
Nat. Hazards, Vol. 82, No. 1, pp. 89-109.
28. Park, J.E, Heo, B.Y, and Sunwoo, Y (2016) A study on human damage due to heat wave by region.
J. Korean Soc. Hazard Mitig, Vol. 16, No. 1, pp. 103-109.
29. Park, J.R, Im, J.H, Sim, O.B, Seo, H.D, and Jeong, S.M (2021) Analysis of integrated assessment and characteristics of coastal agricultural regions.
Journal of Climate Change Research, Vol. 12, No. 6, pp. 721-737.
30. Park, S, Kim, S, Lee, Y, Kim, J, and Kim, Y (2021) Results of the 2021 heat-related illness surveillance. Public Health Weekly Report, Vol. 14, No. 46, pp. 3251-3263.
31. Philip, S.Y, Kew, S.F, van Oldenborgh, G.J, Anslow, F.S, Seneviratne, S.I, Vautard, R, et al (2021) Rapid attribution analysis of the extraordinary heatwave on the pacific coast of the US and Canada june 2021.
Earth System Dynamics Discussions, pp. 1-34.
32. Reid, C.E, Mann, J.K, Alfasso, R, English, P.B, King, G.C, Lincoln, R.A, et al (2012) Evaluation of a heat vulnerability index on abnormally hot days:An environmental public health tracking study.
Environmental Health Perspectives, Vol. 120, No. 5, pp. 715-720.
33. Savic, S, Markovic, V, Secerov, I, Pavic, D, Arsenovic, D, Milosevic, D, et al (2018) Heat wave risk assessment and mapping in urban areas:Case study for a midsized central european city, Novi Sad (Serbia).
Nat. Hazards, Vol. 91, No. 3, pp. 891-911.
34. The Government of the Republic of Korea (2019) 2018 Abnormal climate report (2018년 이상기후 보고서).
35. Wolf, T, and McGregor, G (2013) The development of a heat wave vulnerability index for London, United Kingdom.
Weather Clim. Extrem, Vol. 1, pp. 59-68.
36. Yamagata, Y, Murakami, D, and Yoshida, T (2019) Spatiotemporal heatwave risk evaluation:Considering hazard, exposure, and vulnerability.
Proceedings of the IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium, IEEE, pp. 5524-5527.
37. Yin, C, Yang, F, Wang, J, and Ye, Y (2020) Spatiotemporal distribution and risk assessment of heat waves based on apparent temperature in the one belt and one road region.
Remote Sensing, Vol. 12, pp. 1174.