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An Analysis of the Korean Peninsula Damages Vulnerabilities for a Natural Disaster Mitigation : Focus on Public Facilities Damages
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 Title & Authors
An Analysis of the Korean Peninsula Damages Vulnerabilities for a Natural Disaster Mitigation : Focus on Public Facilities Damages
Park, Jong-Kil; Jung, Woo-Sik; Choi, Hyo-Jin;
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 Abstract
This study aims to find out a state of the damages and vulnerable areas from natural disasters in the Korean peninsula using the prevention meteorological database information made by Park(2007b). Through the correlation analysis between damage elements and total property losses, we investigate the damages of public facilities, which have high correlation coefficient, and the cause of disasters and want to propose the basic information to set up the disaster prevention measures in advance. As a result, because most of the total property losses is the damages of public facilities, we can reduce the damages of natural disasters if we can predict the damages of public facilities or carry out the prevention activities in advance. The most vulnerable area for the natural disasters are Cangwon-do and Gyeongsangnam-do provinces. The vulnerable areas for the damages of public facilities by typhoon are Daegu metropolitan city, Cangwon-do, and Gyeongsangbuk-do provinces. These vulnerable areas will take place more frequently due to the climate change including Gyeongsangnam-do province so that we need to set up the disaster prevention measures and natural disaster mitigation plan. Also, we think that it has effect on reducing the damages of natural disasters to predict the damage scale and strongly perform the prevention activities in advance according to typhoon track and intensity.
 Keywords
Disaster Prevention;Vulnerable Area;Natural Disaster Mitigation Plan;Public Facilities;
 Language
Korean
 Cited by
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3.
우리나라 곡물류 생산량에 기상요소의 영향에 관한 연구,장영재;이중우;박종길;박흥재;

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기후변화 영향을 고려한 도로시설 유지관리 비용변동성 예측 이항분석모델,김두연;김병일;

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 References
1.
Park J. K., Jang E. S., Choi H. J., 2005a, An Analysis of Meteorological Disasters occurred in the Korean Peninsula, J. of the Environmental Sciences, 14(6), 613-619 crossref(new window)

2.
송재우, 2005, 21세기 수자원과 재해 대책, 춘천 물 포럼 논문집, 45-63

3.
Park J. K., Jung W. S., Choi H. J., 2007a, Pilot Study on the Typhoon for the Meteorological Information Application and Disaster Prevention, J. of the Korean Society of Hazard Mitigation, 7(1), 21-28

4.
Park J. K., Jang E. S., Choi H. J., 2005b, Investigation of Characteristics and States of Natural Disasters for Water Resources Disasters Control in Gyeongsangna m-do, J. of the Environmental Sciences, 14(6), 621-627 crossref(new window)

5.
장태현, 2004, 한국 재난통합관리체제에 관한 연구, 석사학위논문, 행정대학원, 인하대학교

6.
행정자치부, 1980-2004, 통계연보

7.
건설부, 1985-1990, 재해연보

8.
내무부, 1991-1996, 재해연보

9.
행정자치부, 1997-2003, 재해연보

10.
소방방재청, 2004-2005, 재해연보

11.
중앙재난안전대책본부, 1993-2002, 최근 10년간 자연재해 피해

12.
기상청, 1987-2004, 기상연보

13.
Park J. K., Jung W. S., Choi H. J., 2007b, Prevention Meteorological Database Information for the Assessment of Natural Disaster, J. of the Korean Society of Hazard Mitigation, 7(3), 41-49

14.
McClain County Emergency Management, 2003, Natural Hazard Mitigation Plan

15.
Douglas County Emergency Management and The Douglas County Planning Department, 2003, Natural Hazard Mitigation Plan

16.
최효진, 2007, 자연재해 저감을 위한 방재기상정보 활용과 재해평가 모형 검토, 석사학위논문, 대기환경정보공학과, 인제대학교

17.
행정자치부, 자연재해대책법(법률 제4993호)

18.
Park J. K., Kim B. S., Jung W. S., Kim E. B., Lee D. G., 2006, Change in Statistical Characteristics of Typhoon Affecting the Korean Peninsula, Atmosphere, 16(1), 1-17

19.
The Regional Specialized Meteorological Center Tokyo-Typhoon Center, 2004, Best Track data

20.
Simpson R. H., Riehl H., 1981, The Hurricane and Its Impact, Louisiana State University Press, Baton Rouge, LA, 398pp