Journal of the Korean Association of Geographic Information Studies (한국지리정보학회지)

The Korean Association of Geographic Information Studies (한국지리정보학회)
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Extraction of Heavy Snowfall Vulnerable Area for 3 Representative Facilities Using GIS and Remote Sensing Techniques

GIS/RS를 이용한 3개의 대표 시설물별 폭설 취약지역 추출기법 연구

  • Ahn, So-Ra (Dept. of Civil & Environmental Systems Engineering, Konkuk University) ;
  • Shin, Hyung-Jin (Water Resources Research Center, K-water Institute, Korea Water Resources Corporation) ;
  • Kim, Seong-Joon (Dept. of Civil & Environmental Systems Engineering, Konkuk University)
  • 안소라 (건국대학교 사회환경시스템공학과) ;
  • 신형진 (한국수자원공사 K-water 연구원 수자원연구소) ;
  • 김성준 (건국대학교 사회환경시스템공학과)
  • Received : 2014.10.20
  • Accepted : 2014.12.31
  • Published : 2015.03.31
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Abstract

This study is to analyze the heavy snowfall vulnerable area of snow load design criteria for greenhouse, cattle shed and building using ground measured snow depth data and Terra MODIS snow cover area(SCA). To analyze the heavy snowfall vulnerable area, Terra MODIS satellite images for 12 years(2001-2012) were used to obtain the characteristics of snow depth and snow cover areas respectively. By comparing the snow load design criteria for greenhouse(cm), cattle shed($kg/m^2$), and building structure($kN/m^2$) with the snow depth distribution results by Terra MODIS satellite images, the facilities located in Jeolla-do, Chungcheong-do, and Gangwon-do areas were more vulnerable to exceed the current design criteria.

본 연구에서는 기상관측소의 적설심 자료와 Terra MODIS 위성영상을 이용하여, 3가지 대표시설물(원예특작물시설, 축사, 건축물)에 대한 적설 설계기준 취약지역을 분석하였다. 현재 적용되고 있는 시설물의 적설 설계강도 기준을 평가하고 폭설 취약지역을 분석하기 위해, 과거 12년간(2001~2012년) 수집된 Terra MODIS 위성영상에서 추출된 적설면적과 적설심 자료를 이용하여 전국 적설심 분포도를 작성하였다. 또한 전국지역별 원예특작물시설의 설계기준 적설심(cm), 축사 설계기준 적설하중($kg/m^2$), 건축물 설계기준 적설하중($kN/m^2$) 자료를 수집하여, MODIS 위성영상에 의해 구축된 적설심 분포도와 비교하여 적설 설계강도 기준 취약지역을 분석한 결과 전라도, 충청도 및 강원도 지역이 취약한 것으로 분석되었다.

Keywords

References

  1. Blackmore, S. and M. Moore. 1999. Remedial correction of yield Map Data. Precision Agriculture 1(1):53-66. https://doi.org/10.1023/A:1009969601387
  2. Ha, R., H.J. Shin and S.J. Kim. 2007. Proposal of prediction technique for future vegetation information by climate change using satellite image. Journal of the Korean Association of Geographic Information Studies 10(3):58-69 (하림, 신형진, 김성준. 2007. 위성영상을 이용한 기후변화에 따른 미래 식생정보 예측 기법 제안. 한국지리정보학회지 10(3):58-69).
  3. Kang, S.M., H.J. Shin, H.J. Kwon and S.J. Kim. 2006. Extraction of snowmelt factors using NOAA satellite images and meteorological data. Journal of the Korea Water Resources Association 39(10):845-854 (강수만, 신형진, 권형중, 김성준. 2009. NOAA위성영상 및 기상자료를 이용한 융설 관련 매개변수 추출. 한국수자원학회지 39(10):845-854). https://doi.org/10.3741/JKWRA.2006.39.10.845
  4. Kim, J.S., H.Y. Kim and S.H. Lee. 2014. A review on improvements of climate change vulnerability analysis methods: focusing on sea level rise disasters. Journal of the Korean Association of Geographic Information Studies 17(1): 50-60 (김지숙, 김호용, 이성호. 2014. 도시 기후변화 재해취약성분석 방법의 개선방안 검토: 해수면상승 재해를 중심으로. 한국지리정보학회지 17(1):50-60). https://doi.org/10.11108/kagis.2014.17.1.050
  5. Kim, S.B., H.J. Shin, D.K. Yun, S.W. Hong and S.J. Kim. 2011. Estimation of greenhouse damaged area by heavy snowfall using GIS and remote sensing technique. Korean National Committee on Irrigation and Drainage 18(2):111-121 (김샛별, 신형진, 윤동균, 홍성욱, 김성준. 2011. GIS/RS를 이용한 비닐하우스 폭설 피해지역 추출기법 연구. 한국관개배수논문집 18(2):111-121).
  6. Kim, S.B., H.J. Shin, J.W. Lee, Y.S. Yu and S.J. Kim. 2011. Mapping technique for heavy snowfall distribution using Terra MODIS images and ground measured snowfall data. Journal of the Korean Association of Geographic Information Studies 14(4):33-43 (김샛별, 신형진, 이지완, 유영석, 김성준. 2011. Terra MODIS 영상과 지상 적설심 자료를 이용한 적설분포도 구축기법 연구. 한국지리정보학회지 14(4):33-43). https://doi.org/10.11108/kagis.2011.14.4.033
  7. Ministry for Food, Agriculture, Forestry and Fisheries. 2008. Standard Design of Cattle Shed (Explanations and Specifications).
  8. Ministry for Food, Agriculture, Forestry and Fisheries. 2010. Design and Specifications of Anti-disaster Standards for Greenhouse Structures.
  9. Ministry of Land, Transport and Maritime Affairs. 2009. Standard of Architectural Structures.
  10. National Emergency Management Agency. 2012. Disaster Annual Report.
  11. Salomonson, V.V. and L. Appel. 2004. Estimating fractional snow cover from MODIS using the normalized difference snow index. Remote Sensing of Environment 89:351-360. https://doi.org/10.1016/j.rse.2003.10.016
  12. Shin, H.J., G.A. Park and S.J. Kim. 2007. Tracing March 2004 and December 2005 heavy snowfall of South Korea using NOAA AVHRR images. Journal of The Korean Society of Agricultural Engineers 49(3):33-40. https://doi.org/10.5389/KSAE.2007.49.3.033
  13. Simic, A., R. Fernandes, R. Browon, P. Romanov and W. Park. 2004. Validation of VEGETATION, MODIS, and GOES+ SSM/I snow-cover products over Canada based on surface snow depth observations. Hydrological Process 18:1089-1104. https://doi.org/10.1002/hyp.5509

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