DOI QR코드

DOI QR Code

대설특성을 통한 잠재적 위험도 분석 - 충청북도 11개 시·군을 중심으로 -

An Analysis of Potential Danger Factors by the Characteristics of Heavy Snow - Focused 11 Cities and Guns in Chungcheongbuk-do -

  • Yoon, Sanghoon (U-City Convergence Research Institute, University of Kangnam) ;
  • Park, Keunoh (Institute for Disaster Prevention management, Korean Society of Hazard Mitigation) ;
  • Kim, Geunyoung (Department of Urban Engineering, University of Kangnam)
  • 투고 : 2015.01.09
  • 심사 : 2015.01.28
  • 발행 : 2015.03.31

초록

본 연구에서는 충청북도 내 각 지자체를 대상으로 지역별 대설특성을 통한 잠재적 위험요인을 분석하였다. 분석결과, 35년 평균적설량으로 인한 잠재적 위험도는 제천시와 보은군이 가장 높았으며 35년 최대적설량을 통한 잠재적 위험요인에서는 다른 결과가 도출되는 것을 알 수 있었다. 잠재적 위험요인에 대한 지역의 빈도수를 살펴보면 가장 높은 지역은 보은군, 제천시, 괴산군, 영동군, 청주시 순으로 도출되었다. 본 연구는 일반적인 대설특성 뿐만 아니라 잠재적인 위험요인들을 도출하고 그에 대한 위험도를 제시하였다는 점에서 그 의의를 가진다. 본 연구의 결과는 향후 충청북도 각 지자체들의 제설대응체계 및 방안 마련에 기초자료로 활용할 수 있을 것이다.

This Study analyzed heavy snow properties according to the area that was based by winter weather properties and the damage data by the heavy snow among each local government of Chungcheongbuk-do. The result of analysis, Jecheon-si and Boeun-gun are represented the highest dangerous regions by potential degree of risk by average amount of snowfall for 35 years. But, the potential degree of risk by maximum amount of snowfall for 35 years is different with it. Cheongju-si and Youngdong-gun, Goesan-gun, Boeun-gun are represented the highest dangerous regions. Examining the frequency of regions with potential danger factors according to the characteristics of heavy snowfall, Boeun-gun and Jecheon-si, Goesan-gun, Youngdong-gun, Cheongju-si is derived the highest dangerous regions in Chungcheongbuk-do.

키워드

참고문헌

  1. Gu, Yusung. (2013). "Selecting and Assessing Vulnerable Zones of Snow Damage in Urban Areas-the case of City of Busan". Korean Society of Civil Engineers Journal, Vol.33, No.3, pp.1077-1086 https://doi.org/10.12652/Ksce.2013.33.3.1077
  2. Kim, Saet Byul.Shin, Hyung Jin.Ha, Rim.Kim, Seong Joon. (2012). "Spatio-temporal Analysis of Snowfall for 5 Heavy Snowfall Areas in South Korea". Korean Society of Civil Engineers Journal, Vol.32, No.2B, pp.103-111
  3. Kim, Taeho.Yoon, Sanghoon.Ko, Junho. (2007). "Evaluation of Urban Roadway Service Quality Using Modified-IPA Technique", Korean Society of Transpotation Scholarship Conference Journal p.574-583
  4. Lee, Kyoungmi.Lee Seungho. (2006). "The Spatial Distribution of Snowfall ans its Development Mechanism over the Honam Area". The Korean Geographical Society Journal, Vol.41, No.4, pp.457-469
  5. Lee, Sukmin.Bae, Yoon-Shin.Park, Jihye. (2014). "Suggestion of Heavy Snow Risk Analysis in Seoul". Korean Society of Road Engineers Journal, Vol.16, No.3, pp.59-66
  6. Choi, Gwangyong.Kim, Jinsu. (2010). "Surface Synoptic Climatic Patterns for Heavy Snowfall Events in the Republic of Korea". The Korean Geographical Society Journal, Vol.45, No.3, pp.319-341
  7. Weather data of the Meteorological Administration(www.kma.go.kr)
  8. National Emergency Management Agency. (2011). "The Development of Heavy Snowfall Casualty Minimization Policies and Optimal Road Snow Removal Systems considering Climate Change"
  9. National Emergency Management Agency.central disaster and safety countermeasures headquarters. (1979-2013). chronological list of Disaster

피인용 문헌

  1. 지역별 제설 시나리오 응원체계 구축연구 vol.13, pp.2, 2017, https://doi.org/10.15683/kosdi.2017.06.30.163
  2. 도로 제설 시나리오별 소요 제설장비 및 차량 추정에 관한 연구 vol.13, pp.2, 2017, https://doi.org/10.15683/kosdi.2017.06.30.199
  3. 대설 대응의 제도적 개선을 위한 중요도 분석 vol.13, pp.3, 2015, https://doi.org/10.15683/kosdi.2017.09.30.340
  4. Analysis of the Disaster Risk Assessment for Urban Declining Areas by Applying Weights of Risk Indicators : Focused on Heavy Rainfall and Snow vol.21, pp.6, 2015, https://doi.org/10.12813/kieae.2021.21.6.023