Landslide susceptibility mapping using Logistic Regression and Fuzzy Set model at the Boeun Area, Korea
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참고문헌
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초록
This study aims to identify the landslide susceptible zones of Boeun area and provide reliable landslide susceptibility maps by applying different modeling methods. Aerial photographs and field survey on the Boeun area identified landslide inventory map that consists of 388 landslide locations. A total of seven landslide causative factors (elevation, slope angle, slope aspect, geology, soil, forest and land-use) were extracted from the database and then converted into raster. Landslide causative factors were provided to investigate about the spatial relationship between each factor and landslide occurrence by using fuzzy set and logistic regression model. Fuzzy membership value and logistic regression coefficient were employed to determine each factor’s rating for landslide susceptibility mapping. Then, the landslide susceptibility maps were compared and validated by cross validation technique. In the cross validation process, 50% of observed landslides were selected randomly by Excel and two success rate curves (SRC) were generated for each landslide susceptibility map. The result demonstrates the 84.34% and 83.29% accuracy ratio for logistic regression model and fuzzy set model respectively. It means that both models were very reliable and reasonable methods for landslide susceptibility analysis.
Abstract
This study aims to identify the landslide susceptible zones of Boeun area and provide reliable landslide susceptibility maps by applying different modeling methods. Aerial photographs and field survey on the Boeun area identified landslide inventory map that consists of 388 landslide locations. A total of seven landslide causative factors (elevation, slope angle, slope aspect, geology, soil, forest and land-use) were extracted from the database and then converted into raster. Landslide causative factors were provided to investigate about the spatial relationship between each factor and landslide occurrence by using fuzzy set and logistic regression model. Fuzzy membership value and logistic regression coefficient were employed to determine each factor’s rating for landslide susceptibility mapping. Then, the landslide susceptibility maps were compared and validated by cross validation technique. In the cross validation process, 50% of observed landslides were selected randomly by Excel and two success rate curves (SRC) were generated for each landslide susceptibility map. The result demonstrates the 84.34% and 83.29% accuracy ratio for logistic regression model and fuzzy set model respectively. It means that both models were very reliable and reasonable methods for landslide susceptibility analysis.
참고문헌 (64)
- Akgun, A., "A comparison of landslide susceptibility maps produced by logistic regression, multi criteria decision, and likelihood ratio methods, a case study at Izmir, Turkey", Landslide, 9, pp.93~106 (2012)
- Ali Yalcin, "GIS-based landslide susceptibility mapping using analytical hierarchy process and bivariate statistics in Ardesen(Turkey):Comparisons of results and confirmations", Catena, 72(1), pp.1~12 (2008)
- Atkinson, P.M., "Generalized linear modeling of susceptibility to landsliding in the central Apennines, Italy", Comput Geosci, 24, pp.373~385 (1998)
- Baeza, C., "Assessment of shallow landslide susceptibility by means of multivariate statistical techniques", Earth Surf Proc Land, 26, pp.1251~1263 (2001)
- Binaghi, E., "Slope instability zonation: a comparison between certainty factor and fuzzy Dempster-Shafer approaches", Nat Hazards, 17(1), pp.77~97 (1998)
- Bonham-Carter, G.F., "Geographic information systems for geoscientists, modeling with GIS" (1994), Pergamon
- Catani, F., "Landslide hazard and risk mapping at catch- ment scale in the Arno River basin", Landslides, 2(4), pp.329~343 (2005)
- Carro, M., "The application of predictive modeling techniques to landslides induced by earthquakes, the case study of the 26 September 1997Umbria-Marche earth- quake(Italy)", Eng Geol, 69, pp.139~159 (2003)
- Champatiray, P. K., "Fuzzy-based method for landslide hazard assessment in active seismic zone of Himalaya", Landslides, 4, pp.101~111 (2007)
- Clerici, A., "A procedure for landslide susceptibility zonation by the conditional analysis method", Geomorphology, 48(4), pp.349~364 (2002)
- Crozier, M. J., "Prediction of rainfall-triggered landslide: a test of the Antecedent Water Status Model", Earth Surf. Process, Landf, 24, pp.825~833 (1999)
- Dahal, R. K., "GISbased weights- of-evidence modelling of rainfall-induced landslides in small catchments for landslide susceptibility mapping", Environ Geol, 54(2), pp.314~324 (2008)
- Dai, F. C., "GIS-based geo-environmental evaluation for urban landuse planning : a case study", Eng Geol, 61, pp.257~271 (2001)
- Dai, F.C., "Landslide Characteristics and Slope Instability Modeling Using GIS, Lantau Island, Hong Kong", Geomorphology, 42, pp.213~228 (2002)
- Davis, Chung, "Using multiple logistic regression and GIS technology to predict landslide hazard in northeast Kansas, USA", Elsvier, 69(3-4), pp.331~343 (2003)
- Ercanoglu, M., "Assessment of landslide susceptibility for a landslide-prone area(north of Yenice, NW Turkey) by fuzzy approach", Environ Geol, 41, pp.720~730 (2002)
- Ermini, L., "Artificial neural networks applied to landslide susceptibility assess- ment", Geomorphology, 66(1-4), pp.327~343 (2005)
- Gokceoglu, C., "Discontinuity controlled probabilistic slope failure risk maps of the Altindag(settlement)region in Turkey", Eng Geol, 55, pp.277~296 (2000)
- Gomez, H.T., "Assessment of shallow landslide susceptibility using artificial neural net- works in Jabonosa River Basin, Venezuela", Eng Geol, 78(1-2), pp.11~27 (2005)
- Guzzetti, F., "Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy", Geomorphol, 31, pp.181~216 (1999)
- Juang, C. H., "Mapping slope failure potential using fuzzy sets", J Geotech Eng, 118(3), pp.475~494 (1992)
- Kanungo, D. P., "A comparative study of conventional, ANN black box, fuzzy and combined neural and fuzzy weighting procedures for landslide susceptibility zonation in Darjeeling Himalayas", Eng Geol, 85(3-4), pp.47~366 (2006)
- Lee, S., "Application of likelihood ratio and logistic regression models to landslide susceptibility mapping using GIS", Environmental management, 34, pp.223~232 (2004)
- Lee, S., "Application of logistic regression model and its validation for landslide susceptibility mapping using GIS and remote sensing data", Int J Remote Sens, 26, pp.1477~1491 (2005)
- Lee, S., "Application and verification of fuzzy algebraic operators to landslide susceptibility mapping", Environ. Geol, 52, pp.615~623 (2007)
- Lee, S., "Comparison of landslide susceptibility maps generated through multiple logistic regression for three test areas in Korea", Earth Surf Proc Land, 32, pp.2133~2148 (2007)
- Lee, S., "Statistical analysis of landslide susceptibility at Yongin, Korea", Environ Geol, 40, pp.1095~1113 (2001)
- 이사로, "Development of GIS-based geological hazard information system and its application for landslide analysis in Korea", Geosciences Journal, 7(3), pp.243~252 (2003), 한국지질과학협의회
- Lee, S., "Landslide Detection and Susceptibility Mapping in the Sagimakri Area, Korea Using KOMPSAT-1 and Weight of Evidence Technique", Environmental Earth Sciences, 70(7), pp.3197~3215 (2013)
- Lee, S., "Landslide susceptibility mapping by correlation between topography and geological structure: the Janghung area, Korea", Geomorphology, 46, pp.49~162 (2002)
- Lee, S., "Probabilistic Landslide Hazard Mapping Using GIS and Remote Sensing Data at Boun, Korea", International Journal of Remote Sensing, 25(11), pp.37~41 (2004)
- Lee, S., "Determination and application of the weights for landslide suscep- tibility mapping using an artificial neural network", Eng Geol, 71, pp.289~302 (2004)
- Lee, S., "Landslide susceptibility analysis using GIS and artificial neural network", Earth Surf Proc Land, 27, pp.1361~1376 (2003)
- Lee, S., "Landslide susceptibility analysis using artificial neural network at Boun, Korea", Environ Geol, 44, pp.820~833 (2003)
- Lee, S., "Probabilistic landslide risk mapping at Penang Island, Malaysia", J Earth Sys Sci, 115(6), pp.661~672 (2006)
- Lee, S., "Earthquake induced landslide susceptibility mapping using an artificial neural network", Nat Hazard Earth Sys, 6, pp.687~695 (2006)
- Lee, S., "Utilization of optical remote sensing data and GIS tools for regional landslide hazard analysis by using an artificial neural network model at Selangor, Malaysia", Earth Sci, 14(6), pp.143~151 (2007)
- Lee, S., "Terrigenous Mass Movements", pp.193~220 (2012), Springer
- Lee, S., "Application of data-driven evidential belief functions to landslide susceptibility mapping in Jinbu, Korea", Catena, 100, pp.15~30 (2013)
- Neaupane, K.M., "Use of backpropagation neural network for landslide monitoring: a case study in the higher Himalaya", Eng Geol, 74(3-4), pp.213~226 (2004)
- Nefeslioglu, H. A., "Assessment of landslide suscepti- bility by decision trees in the metropolitan area of Istanbul, Turkey", Math Probl Eng., pp.1~15 (2010)
- Oh, H. J., "Predictive landslide susceptibility mapping using spatial information in the Pechabun area of Thailand", Environ Geol, 57, pp.641~651 (2009)
- Ohlmacher, G. C., "Plan Curvature and Landslide Probability in Regions Dominated by Earth Flows and Earth Slides", Engineering Geology, 91(2-4), pp.117~134 (2007)
- Ohlmacher, G.C., "Using multiple logistic regression and GIS technology to predict landslide hazard in northeast Kansa, USA", Eng Geol, 69, pp.331~343 (2003)
- Petley, D.N., "Environmental Hazards: Assessing Risk and Reducing Disaster" (2009), Routledge
- Pradhan, B., "Estimation of stress and its use in evaluation of landslide prone regions using remote sensing data", Adv Space Res, 37, pp.698~709 (2006)
- Pradhan, B., "A GIS-based back-propagation neural network model and its cross-application and validation for landslide susceptibility analyses", Comput Environ Urban Sys, 34, pp.216~235 (2010)
- Pradhan, B., "Manifestation of remote sensing data and GIS for landslide hazard analysis using spatial-based statistical models", Arabian J Geosciences, 3(3), pp.319~326 (2009)
- Pradhan, B., "Use of geospatial data for the development of fuzzy algebraic operators to landslide hazard mapping: a case study in Malaysia", Appl Geomat, 1, pp.3~15 (2009)
- Pradhan, B., "Utilization of optical remote sensing data and GIS tools for regional landslide hazard analysis by using an artificial neural network model at Selangor, Malaysia", Earth Sci Front, 14(6), pp.143~152 (2008)
- Pradhan, B., "Utilization of optical remote sensing data and geographic information system tools for regional landslide hazard analysis by using binomial logistic regression model", J Appl Remote Sens, 2, pp.1~11 (2008)
- Pradhan, B., "Manifestation of an advanced fuzzy logic model coupled with Geo-information techniques to landslide susceptibility mapping and their comparism with logistic regression modeling", Environ Ecol Stat, 18, pp.471~493 (2010)
- Remondo, J., "Validation of landslide susceptibility maps: examples and applications from a case study in Northern Spain", Nat Hazards, 30, pp.437~449 (2003)
- Saboya, F. Jr, "Assessment of failure susceptibility of soil slopes using fuzzy logic", Eng Geol, 86, pp.211~224 (2006)
- Shahabi, Himan, "Landslide Susceptibility Mapping at Central Zab Basin, Iran: A Comparison between Analytical Hierarchy Process, Frequency Ratio and Logistic Regression Models", Catena, 115, pp.55~70 (2014)
- Shou, K.J., "Analysis of the Chiufengershan landslide triggered by the 1999Chi-Chi earth- quake in Taiwan", Eng Geol, 68, pp.237~250 (2003)
- Soeters, R., "Landslides: investigation and mitigation" (1996), National Academy Press
- Soyoung, P., "Landslide susceptibility mapping using frequency ratio, analytic hierarchy process, logistic regression and artificial neural network methods at the Inje area, Korea", Environ Earth Sci, 68, pp.1443~1464 (2012)
- Van esten, C. J., "Comparing landslide hazard maps", Nat Hazards, 20(2-3), pp.137~158 (1999)
- Wang, H.B., "Comparative evaluation of landslide susceptibility in Minamata area, Japan", Environ Geol, 47, pp.956~966 (2005)
- Xie, M., "A time-space based approach for mapping rainfall-induced shallow landslide hazard", Environ Geol, 46, pp.840~850 (2004)
- Xu, Chong, "The 2010Yushu Earthquake Triggered Landslide Hazard Mapping Using GIS and Weight of Evidence Modeling", Environmental Earth Sciences, 66(6), pp.1603~1616 (2012)
- Zadeh, L.A., "Fuzzy sets", Inf Control, 8, pp.253~338 (1965)
