지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학위논문
- 저자정보
- 지도교수
- 정건희
- 발행연도
- 2017
- 저작권
- 호서대학교 논문은 저작권에 의해 보호받습니다.
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이 논문의 연구 히스토리 (3)
2017
- 이 논문의 후속연구가 궁금하신가요?
- 연관 학술논문 또는 학술발표를 통해 보다 발전된 연구결과를 확인하실 수 있습니다.
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초록· 키워드
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Recently, the damage caused by natural disasters has been increased over the world and global warming and climate change is considered as one of the most accelerating factors. 7.6% of the property damage 10 years from 1993 to 2002 in South Korea is caused by heavy snow. For example, there were substantial property damages induced by Heavy snow in Chungcheong region (March 2004) and Yeongdong·Yeongnam region (March 2005). More severe damage is also expected in the future. However, it is difficult to estimate accurate damage due to the lack of data with respect to the snow disaster. Therefore, more reliable damage estimation is required for the more effective disaster response and management. In this study, the snow damage was estimated using multiple linear-regression analysis with the regional and climate data. Historical damage was collected from the Disaster Annual Report(1994~2013) published by Ministry of Public Safety(formerly National Emergency Management). Four most crucial impact factors(Daily maximum snow depth, Relative humidity, Minimum temperature, Population density) for the snow damage were selected as the independent variables. Multiple linear-regression analysis with enter and stepwise methods were applied to estimate snow damages. As the result, adjusted R-square is above 0.8 in some sub-regions and shows the good applicability although the extreme values are not predicted well. The proposed method might be applied for the disaster response and management to prepare the damage and mitigate the property losses.
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