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침수피해 정보를 이용한 농경지의 지형학적 침수취약지도 작성 -진주시를 사례로-

Mapping of Inundation Vulnerability Using Geomorphic Characteristics of Flood-damaged Farmlands -A Case Study of Jinju City-

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주제분류농학

초록

The objective of this study was to make a map of farmland vulnerability to flood inundation based on morphologic characteristics from the flood-damaged areas. Vulnerability mapping based on the records of flood damages has been conducted in four successive steps; data preparation and preprocessing, identification of morphologic criteria, calculation of inundation vulnerability index using a fuzzy membership function, and evaluation of inundation vulnerability. At the first step, three primary digital data at 30-m resolution were produced as follows: digital elevation model, hill slopes map, and distance from water body map. Secondly zonal statistics were conducted from such three raster data to identify geomorphic features in common. Thirdly inundation vulnerability index was defined as the value of 0 to 1 by applying a fuzzy linear membership function to the accumulation of raster data reclassified as 1 for cells satisfying each geomorphic condition. Lastly inundation vulnerability was suggested to be divided into five stages by 0.25 interval i.e. extremely vulnerable, highly vulnerable, normally vulnerable, less vulnerable, and resilient. For a case study of the Jinju, farmlands of 138.6 ㎢, about 18% of the whole area of Jinju, were classified as vulnerable to inundation, and about 6.6 ㎢ of farmlands with elevation of below 19 m at sea water level, slope of below 3.5 degrees, and within 115 m distance from water body were exposed to extremely vulnerable to inundation. Comparatively Geumsan-myeon and Sabong-myeon were revealed as the most vulnerable to farmland inundation in the Jinju.

Abstract

The objective of this study was to make a map of farmland vulnerability to flood inundation based on morphologic characteristics from the flood-damaged areas. Vulnerability mapping based on the records of flood damages has been conducted in four successive steps; data preparation and preprocessing, identification of morphologic criteria, calculation of inundation vulnerability index using a fuzzy membership function, and evaluation of inundation vulnerability. At the first step, three primary digital data at 30-m resolution were produced as follows: digital elevation model, hill slopes map, and distance from water body map. Secondly zonal statistics were conducted from such three raster data to identify geomorphic features in common. Thirdly inundation vulnerability index was defined as the value of 0 to 1 by applying a fuzzy linear membership function to the accumulation of raster data reclassified as 1 for cells satisfying each geomorphic condition. Lastly inundation vulnerability was suggested to be divided into five stages by 0.25 interval i.e. extremely vulnerable, highly vulnerable, normally vulnerable, less vulnerable, and resilient. For a case study of the Jinju, farmlands of 138.6 ㎢, about 18% of the whole area of Jinju, were classified as vulnerable to inundation, and about 6.6 ㎢ of farmlands with elevation of below 19 m at sea water level, slope of below 3.5 degrees, and within 115 m distance from water body were exposed to extremely vulnerable to inundation. Comparatively Geumsan-myeon and Sabong-myeon were revealed as the most vulnerable to farmland inundation in the Jinju.

참고문헌 (19)

  1. 강정은, "퍼지모형과 GIS를 활용한 기후변화 홍수취약성 평가 - 서울시 사례를 중심으로 -", 한국지리정보학회지, 15(3), pp.119~136 (2012), 한국지리정보학회
  2. 구신회, "정밀지형자료와 과거 침수피해정보를 활용한 침수흔적도 구축 정확도 개선", 한국지형공간정보학회지, 19(4), pp.91~99 (2011), 한국지형공간정보학회
  3. 김성삼, "자연 재해 관리를 위한 침수취약등급도 구축방안", 2012 한국지형공간정보학회 추계학술대회, pp.167~168 (2012)
  4. 김철, "GIS를 이용한 홍수취약지역 예측", 대한토목학회 논문집B, 23(3B), pp.175~181 (2003), 대한토목학회
  5. 농림수산식품부, "농업재해대책 업무편람", ~ (2008)
  6. 박원창, "지적정보를 이용한 침수흔적도의 관리 및 활용방안", 한국지적정보학회지, 12(1), pp.1~12 (2010), 한국지적정보학회
  7. 박종덕, "모바일 GIS를 이용한 홍수 위험 경보 서비스 구현", 대한지리학회지, 46(6), pp.738~750 (2011), 대한지리학회
  8. 홍수피해특성 분석 및 홍수피해지표 개발에 관한 연구, "박태선", 국토 연구원, ~ (2005)
  9. 박현미, "침수취약등급도 제작을 위한 지형저지대 생성기법", 2012 한국지형공간정보학회 추계학술대회, pp.105~106 (2012)
  10. 소방방재청, "2011 재해연보", ~ (2012)
  11. 안상진, "홍수피해로 인한 침수면적 산정에 관한 사례연구", 대한토목학회 논문집B, 23(3B), pp.183~189 (2003), 대한토목학회
  12. 이근상, "GIS와 지적도를 이용한 전주천 홍수위험지역 평가", 한국지적정보학회지, 14(2), pp.1~14 (2012), 한국지적정보학회
  13. 이한세, "상습침수지역의 문제점 및 개선방안", 국토연구, 273, pp.16~23 (2004)
  14. 지홍기, "2006 남강 홍수피해 조사분석", 한국수자원학회지, 39(8), pp.46~60 (2006)
  15. 최예환, "농경지 침수방지 대책", 환경연구, 17, pp.226~250 (2000)
  16. 홍순희, "상습침수지역의 호우침수재해예측서비스", 한국기상학회 2004 년도 가을 학술대회, pp.218~219 (2004)
  17. 황유정, "홍수에 의한 침수 취약지역 예측에 관한 연구", 한국지역지리학회지, 12(1), pp.172~178 (2006)
  18. Hamilton, R. M, "Science and Technology for Natural Disaster Reduction", Natural Hazards Review, 1(1), pp.56~60 (2000)
  19. Wilhelmi, O. V., "Assessing Vulnerability to Agricultural Drought: A Nebraska Case Study", Natural Hazards, 25, pp.37~58 (2002)

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