본문 바로가기
KERD
논문KCI 등재

GIS 기반 우도비를 이용한 호남지역 암괴류와 애추지형의 분포 특성 분석

The Distribution Characteristics Analysis of Block Stream and Talus Landform by Using GIS-based Likelihood Ratio in the Honam Region

1

조회

0

다운로드

4

인용

0

참고문헌

키워드

주제분류지리학

초록

The main objective of this paper is to classify properties of the locational environment for each debris type by calculating likelihood ratio based on the correlation between the distributions for each type of debris landform. A total of 8 thematic maps, like as elevation, slope, aspect, curvature, topographic wetness index (TWI), soil drainage, geology, and landcover including with GIS spatial information generally used in this type of debris landform analysis. The results of this study showed that the block stream had a high likelihood ratio compared to talus in areas with relatively high elevation; and concerning slope, the block stream had a high likelihood ratio in a relatively low region than talus. Concerning aspect, a clear correlation could not be analyzed for each debris type, and concerning curvature, the block stream displayed a developed slope on the more concave valley than the talus. Analysis concerning TWI, the block stream displayed a higher likelihood ratio in wider sections than talus, and concerning soil drainage, the talus and block stream both displayed a high likelihood ratio in regions with well-drained soil. The talus displayed a high likelihood ratio in the order of metamorphic rocks, sedimentary rocks, and granite, while the block stream displayed a high likelihood ratio in the order of volcanic rocks, granite, and sedimentary rocks. In addition, concerning landcover, the likelihood ratio had the most concentrated distributed compared to natural bare land only concerning talus. Based on the likelihood ratio result, it can be used as basic data for extracting the possible areas of distribution for each debris type through the GIS spatial integration method.

Abstract

The main objective of this paper is to classify properties of the locational environment for each debris type by calculating likelihood ratio based on the correlation between the distributions for each type of debris landform. A total of 8 thematic maps, like as elevation, slope, aspect, curvature, topographic wetness index (TWI), soil drainage, geology, and landcover including with GIS spatial information generally used in this type of debris landform analysis. The results of this study showed that the block stream had a high likelihood ratio compared to talus in areas with relatively high elevation; and concerning slope, the block stream had a high likelihood ratio in a relatively low region than talus. Concerning aspect, a clear correlation could not be analyzed for each debris type, and concerning curvature, the block stream displayed a developed slope on the more concave valley than the talus. Analysis concerning TWI, the block stream displayed a higher likelihood ratio in wider sections than talus, and concerning soil drainage, the talus and block stream both displayed a high likelihood ratio in regions with well-drained soil. The talus displayed a high likelihood ratio in the order of metamorphic rocks, sedimentary rocks, and granite, while the block stream displayed a high likelihood ratio in the order of volcanic rocks, granite, and sedimentary rocks. In addition, concerning landcover, the likelihood ratio had the most concentrated distributed compared to natural bare land only concerning talus. Based on the likelihood ratio result, it can be used as basic data for extracting the possible areas of distribution for each debris type through the GIS spatial integration method.

참고문헌 (44)

  1. Achmad, A., "Modeling of urban growth in tsunamiprone city using logistic regression: Analysis of Banda Aceh, Indonesia", Applied Geography, 62, pp.237~246 (2015)
  2. 백승균, "Weight of Evidence 기법을 이용한 영남지역의 산지습지 가능지역 추출", 한국지형학회지, 20(1), pp.21~33 (2013), 한국지형학회
  3. Betz, F., "Delineation of the riparian zone in data-scarce regions using fuzzy membership functions: An evaluation based on the case of the Naryn River in Kyrgyzstan", Geomorphology, 306, pp.170~181 (2018)
  4. Beven, K. J., "A physical-based data", Quaternary Research, 6, pp.77~97 (1979)
  5. Bonham-Carter, G. F., "Geographic Information Systems for geoscientists, modeling with GIS" (1994), Pergamon Press
  6. Brenning, A., "Statistical estimation and generalized additive modeling of rock glacier distribution in the San Juan Mountains, Colorado, United States", Journal of Geophysical Research, 112, pp.1~10 (2007)
  7. Brenning, A., "Logistic regression modeling of rock glacier and glacier distribution-Topographic and climatic controls in the semi-arid Andes", Geomorphology, 81, pp.141~154 (2006)
  8. Chung, F. C., "Three Bayesian prediction models for landslide hazard", Proceeding of International Association for Mathematical Geology (IAMG ’98), pp.204~211 (1998)
  9. Curry, A. M., "Lateglacial and Holocene talus slope development and rockwall retreat on Mynydd Du, UK", Geomorphology, 58, pp.85~106 (2004)
  10. Duda, R. O., "Subjective Bayesian methods for rule-based inference systems", Proceedings of the 1976 national Computer Conference, pp.1075~1082 (1976)
  11. Esper Angillieri, M. Y., "Application of frequency ratio and logistic regression to active rock glacier occurrence in the Andes of San Juan, Argentina", Geomorphology, 114(3), pp.396~405 (2010)
  12. Gadek, B., "Reflection of climate changes in the structure and morphodynamics of talus slopes (the Tatra Mountains, Poland)", Geomorphology, 263, pp.39~49 (2016)
  13. Harris, S. A., "Climatic zonality of periglacial landforms in mountain areas", Arctic, 47, pp.184~192 (1994)
  14. 장용구, "E-GIS 기반의 습지분포 및 규모예측", 대한토목학회 논문집D, 26(6D), pp.1011~1017 (2006), 대한토목학회
  15. Jeon, Y. G., "The study on the debris slope landform in the southern Taeback mountains", Journal of the Korean Geographical Society, 28(2), pp.77~99 (1993)
  16. Jeon, Y. G., "A study on the boulder stream of granitoid in Korea", Journal of The Korean Association of Regional Geographers, 6(2), pp.71~82 (2000)
  17. 전영권, "대구 비슬산지 내 지형자원의 활용방안에 관한 연구", 한국지역지리학회지, 10(1), pp.53~66 (2004), 한국지역지리학회
  18. Jomelli, V., "A new hierarchical Bayesian approach to analyse environmental and climatic influences on debris flow occurrence", Geomorphology, 250, pp.407~421 (2015)
  19. KIGAM, "Explanatory Text of the Geological Map of Kwangju Sheet (1:250,000)", MSIP, ~ (1997)
  20. 김승현, "강원도 정선 지역 테일러스 사면의 습윤지수 및 현장 특성", 지질공학, 20(4), pp.391~399 (2010), 대한지질공학회
  21. Kwon, H. J., "Geomorphology" (2006), Bobmunsa
  22. 이광률, "청송군 옹점리 일대 암설 사면의 분포와 지형 변화", 대한지리학회지, 45(3), pp.360~374 (2010), 대한지리학회
  23. Lee, K. S., "The Gradient Analysis of the Korean Peninsula by using DEM", Journal of the Korean Association of Geographic Information Studies, 3(1), pp.35~43 (2000)
  24. Maseleno, A., "Skin diseases expert system using Dempster-Shafer theory", International Journal of Intelligent Systems and Applications, 4(5), pp.38~44 (2012)
  25. Matsuoka, N., "Frost weathering and rockwall erosion in the southeastern Swiss Alps: Longterm (1994~2006) observations", Geomorphology, 99, pp.353~368 (2008)
  26. 문상균, "GIS를 이용한 산지습지 분포 가능지역 추출방안에 관한 연구", 석사, 토목환경시스템공학, pp.2008
  27. 문상균, "AHP를 이용한 산지습지 가능지역 평가", 한국환경복원기술학회지, 17(1), pp.27~43 (2014), 한국환경복원기술학회[DOI]
  28. Na, K. N., "A study on the Genesis of Talus in the Mudeung Mountain", Master, pp.1998
  29. The geography of Korea -JeollaNamdo-, "NGII", National Geographic Information Institute, ~ (2014)
  30. 오현주, "GIS와 Weight of Evidence를 이용한 산사태 취약성 분석 및 검증", 지질학회지, 46(2), pp.157~170 (2010), 대한지질학회
  31. 오종주, "무등산 암설 지형 연구", 박사, 지리학과, pp.2012
  32. O’Neil, G. L., "Evaluating the potential for site-specific modification of LiDAR DEM derivatives to improve environmental planning-scale wetland identification using Random Forest classification", Journal of Hydrology, 559, pp.192~208 (2018)
  33. Otto, J. C., "Comparing geophysical methods for talus slope investigations in the Turtmann valley (Swiss Alps)", Geomorphology, 76(3-4), pp.257~272 (2006)
  34. Paul, R. B., "Key Concepts in Geomorphology" (2016), W. H. Freeman and Company Publishers
  35. Regmi, N. R., "Modeling susceptibility to landslides using the weight of evidence approach: Western Colorado, USA", Geomorphology, 115(1-2), pp.172~187 (2010)
  36. Sanders, D., "Post-last glacial alluvial fan and talus slope associations (Northern Calcareous Alps, Austria): A proxy for Late Pleistocene to Holocene climate change", Geomorphology, 131(3-4), pp.85~97 (2011)
  37. Sass, O., "Determination of thr internal structure of alpine talus deposits using different geophysical methods", Geomorphology, 80, pp.45~58 (2006)
  38. Sass, O., "Debris flow dominated and rockfall-dominated talus slopes: Genetic models derived from GPR measurements", Geomorphology, 86, pp.176~192 (2007)
  39. 성영배, "우주기원 방사성 핵종을 이용한 만어산 암설지형의 침실률 및 노출연대 측정", 대한지리학회지, 38(3), pp.389~399 (2003), 대한지리학회
  40. Thapa, P., "Quantification of controls on regional rockfall activity and talus deposition, Kananaskis, Canadian Rockies", Geomorphology, 239, pp.107~123 (2017)
  41. 위눈솔, "퍼지집합과 베이지안 확률 기법을 이용한 암설사면지형 분포지역 추출에 관한 연구", 한국지형학회지, 24(3), pp.105~118 (2017), 한국지형학회
  42. Yu, J. J., "A Study on Talus Distribution Extraction by Spatial Analysis Statistics Method: Focusing on the Weight of Evidence Model", Master, pp.2015
  43. 유재진, "공간통계기법을 이용한 애추 분포 가능지역 추출- Weight of evidence 기법을 중심으로 -", 한국지형학회지, 21(4), pp.133~147 (2014), 한국지형학회[DOI]
  44. 유영완, "암괴류 구성 암괴의 반발 강도 특성과 풍화각의 화학적 조성에 대한 연구 - 비슬산을 사례로 -", 한국지형학회지, 21(1), pp.63~80 (2014), 한국지형학회[DOI]

관련 논문AI추천

이 간행물의 다른 논문 (4건)