Skip to main content
Erschienen in: Environmental Earth Sciences 2/2011

01.09.2011 | Original Article

Cross-application used to validate landslide susceptibility maps using a probabilistic model from Korea

verfasst von: Hyun-Joo Oh, Saro Lee

Erschienen in: Environmental Earth Sciences | Ausgabe 2/2011

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

A study of landslides in Youngin, Janghung and Boeun, Korea, using the geographic information system (GIS) validates a spatial probabilistic model for landslide susceptibility analysis. Locations were identified from aerial photographs, satellite images and field surveys. Topography, soil-type, forest-cover and land-cover maps were constructed from spatial data sets. Landslide occurrence is influenced by 13 factors, evidence for which was extracted from the database with the frequency ratio of each factor computed. Landslide susceptibility maps use frequency ratios derived not only from data for each area but also ratios, one from the probabilistic model, calculated from the other two areas (nine maps in all) as a cross-check of method validity. For validation, analytical results were compared in each study area with actual landslide locations: Boeun based on its frequency ratio showed the best accuracy (82.49%) whereas Janghung based on the Boeun frequency ratio showed the worst (69.53%).

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Anhänge
Nur mit Berechtigung zugänglich
Literatur
Zurück zum Zitat Akgün A, Bulut F (2007) GIS-based landslide susceptibility for Arsin-Yomra (Trabzon, North Turkey) region. Environ Geol 51(8):1377–1387CrossRef Akgün A, Bulut F (2007) GIS-based landslide susceptibility for Arsin-Yomra (Trabzon, North Turkey) region. Environ Geol 51(8):1377–1387CrossRef
Zurück zum Zitat Akgun A, Türk N (2010) Landslide susceptibility mapping for Ayvalik (Western Turkey) and its vicinity by multicriteria decision analysis. Environ Earth Sci 61(3):595–611CrossRef Akgun A, Türk N (2010) Landslide susceptibility mapping for Ayvalik (Western Turkey) and its vicinity by multicriteria decision analysis. Environ Earth Sci 61(3):595–611CrossRef
Zurück zum Zitat Bai S-B, Wang J, Guo-Nian L, Zhou P-G, Hou S-S, Xu S-N (2010a) GIS-based logistic regression for landslide susceptibility mapping of the Zhongxian segment in the three Gorges area, China. Geomorphology 115(1–2):23–31CrossRef Bai S-B, Wang J, Guo-Nian L, Zhou P-G, Hou S-S, Xu S-N (2010a) GIS-based logistic regression for landslide susceptibility mapping of the Zhongxian segment in the three Gorges area, China. Geomorphology 115(1–2):23–31CrossRef
Zurück zum Zitat Bai S, Lü G, Wang J, Zhou P, Ding L (2010b) GIS-based rare events logistic regression for landslide-susceptibility mapping of Lianyungang, China. Environ Earth Sci. doi:10.1007/s12665-010-0509-3 Bai S, Lü G, Wang J, Zhou P, Ding L (2010b) GIS-based rare events logistic regression for landslide-susceptibility mapping of Lianyungang, China. Environ Earth Sci. doi:10.​1007/​s12665-010-0509-3
Zurück zum Zitat Carson MA, Kirkby MJ (2009) Hillslope Form and Process, Cambridge University Press, London Carson MA, Kirkby MJ (2009) Hillslope Form and Process, Cambridge University Press, London
Zurück zum Zitat Choi J, Oh H-J, Won J-S, Lee S (2010) Validation of an artificial neural network model for landslide susceptibility mapping. Environ Earth Sci 60(3):473–483CrossRef Choi J, Oh H-J, Won J-S, Lee S (2010) Validation of an artificial neural network model for landslide susceptibility mapping. Environ Earth Sci 60(3):473–483CrossRef
Zurück zum Zitat Dahal R, Hasegawa S, Nonomura A, Yamanaka M, Masuda T, Nishino K (2008) GIS-based weights-of-evidence modelling of rainfall-induced landslides in small catchments for landslide susceptibility mapping. Environ Geol 54(2):311–324CrossRef Dahal R, Hasegawa S, Nonomura A, Yamanaka M, Masuda T, Nishino K (2008) GIS-based weights-of-evidence modelling of rainfall-induced landslides in small catchments for landslide susceptibility mapping. Environ Geol 54(2):311–324CrossRef
Zurück zum Zitat Das I, Sahoo S, van Westen C, Stein A, Hack R (2010) Landslide susceptibility assessment using logistic regression and its comparison with a rock mass classification system, along a road section in the northern Himalayas (India). Geomorphology 114(4):627–637CrossRef Das I, Sahoo S, van Westen C, Stein A, Hack R (2010) Landslide susceptibility assessment using logistic regression and its comparison with a rock mass classification system, along a road section in the northern Himalayas (India). Geomorphology 114(4):627–637CrossRef
Zurück zum Zitat Gorsevski PV, Gessler PE, Boll J, Elliot WJ, Foltz RB (2006) Spatially and temporally distributed modeling of landslide susceptibility. Geomorphology 80(3–4):178–198CrossRef Gorsevski PV, Gessler PE, Boll J, Elliot WJ, Foltz RB (2006) Spatially and temporally distributed modeling of landslide susceptibility. Geomorphology 80(3–4):178–198CrossRef
Zurück zum Zitat Guzzetti F, Carrara A, Cardinali M, Reichenbach P (1999) Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy. Geomorphology 31(1–4):181–216CrossRef Guzzetti F, Carrara A, Cardinali M, Reichenbach P (1999) Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy. Geomorphology 31(1–4):181–216CrossRef
Zurück zum Zitat Kanungo DP, Arora MK, Gupta RP, Sarkar S (2005) GIS-based landslide hazard zonation using neuro-fuzzy weighting. Proceedings of 2nd Indian International Conference on Artificial Intelligence (IICAI-05), Pune 1222–1237 Kanungo DP, Arora MK, Gupta RP, Sarkar S (2005) GIS-based landslide hazard zonation using neuro-fuzzy weighting. Proceedings of 2nd Indian International Conference on Artificial Intelligence (IICAI-05), Pune 1222–1237
Zurück zum Zitat Kanungo DP, Arora MK, Sarkar S, Gupta RP (2006) 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):347–366CrossRef Kanungo DP, Arora MK, Sarkar S, Gupta RP (2006) 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):347–366CrossRef
Zurück zum Zitat Kanungo D, Arora M, Gupta R, Sarkar S (2008) Landslide risk assessment using concepts of danger pixels and fuzzy set theory in Darjeeling Himalayas. Landslides 5(4):407–416CrossRef Kanungo D, Arora M, Gupta R, Sarkar S (2008) Landslide risk assessment using concepts of danger pixels and fuzzy set theory in Darjeeling Himalayas. Landslides 5(4):407–416CrossRef
Zurück zum Zitat Lee S (2005) Application of logistic regression model and its validation for landslide susceptibility mapping using GIS and remote sensing data. Int J Remote Sens 26(7):1477–1491CrossRef Lee S (2005) Application of logistic regression model and its validation for landslide susceptibility mapping using GIS and remote sensing data. Int J Remote Sens 26(7):1477–1491CrossRef
Zurück zum Zitat Lee S (2007a) Application and verification of fuzzy algebraic operators to landslide susceptibility mapping. Environ Geol 52(4):615–623CrossRef Lee S (2007a) Application and verification of fuzzy algebraic operators to landslide susceptibility mapping. Environ Geol 52(4):615–623CrossRef
Zurück zum Zitat Lee S (2007b) Comparison of landslide susceptibility maps generated through multiple logistic regression for three test areas in Korea. Earth Surf Processes Landforms 32(14):2133–2148CrossRef Lee S (2007b) Comparison of landslide susceptibility maps generated through multiple logistic regression for three test areas in Korea. Earth Surf Processes Landforms 32(14):2133–2148CrossRef
Zurück zum Zitat Lee S, Evangelista DG (2006) Earthquake-induced landslide-susceptibility mapping using an artificial neural network. Nat Hazards Earth Syst Sci 6(5):687–695CrossRef Lee S, Evangelista DG (2006) Earthquake-induced landslide-susceptibility mapping using an artificial neural network. Nat Hazards Earth Syst Sci 6(5):687–695CrossRef
Zurück zum Zitat Lee S, Min K (2001) Statistical analysis of landslide susceptibility at Yongin, Korea. Environ Geol 40(9):1095–1113CrossRef Lee S, Min K (2001) Statistical analysis of landslide susceptibility at Yongin, Korea. Environ Geol 40(9):1095–1113CrossRef
Zurück zum Zitat Lee S, Pradhan B (2006) Probabilistic landslide hazards and risk mapping on Penang Island, Malaysia. J Earth Syst Sci 115(6):661–672CrossRef Lee S, Pradhan B (2006) Probabilistic landslide hazards and risk mapping on Penang Island, Malaysia. J Earth Syst Sci 115(6):661–672CrossRef
Zurück zum Zitat Lee S, Ryu JH, Lee MJ, Won JS (2003) Use of an artificial neural network for analysis of the susceptibility to landslides at Boun, Korea. Environ Geol 44(7):820–833CrossRef Lee S, Ryu JH, Lee MJ, Won JS (2003) Use of an artificial neural network for analysis of the susceptibility to landslides at Boun, Korea. Environ Geol 44(7):820–833CrossRef
Zurück zum Zitat Lee S, Ryu JH, Won JS, Park HJ (2004) Determination and application of the weights for landslide susceptibility mapping using an artificial neural network. Eng Geol 71(3–4):289–302CrossRef Lee S, Ryu JH, Won JS, Park HJ (2004) Determination and application of the weights for landslide susceptibility mapping using an artificial neural network. Eng Geol 71(3–4):289–302CrossRef
Zurück zum Zitat Lee S, Ryu J-H, Lee M-J, Won J-S (2006) The application of artificial neural networks to landslide susceptibility mapping at Janghung, Korea. Math Geol 38(2):199–220CrossRef Lee S, Ryu J-H, Lee M-J, Won J-S (2006) The application of artificial neural networks to landslide susceptibility mapping at Janghung, Korea. Math Geol 38(2):199–220CrossRef
Zurück zum Zitat Legorreta Paulin G, Bursik M (2009) Logisnet: a tool for multimethod, multiple soil layers slope stability analysis. Comput Geosci 35(5):1007–1016CrossRef Legorreta Paulin G, Bursik M (2009) Logisnet: a tool for multimethod, multiple soil layers slope stability analysis. Comput Geosci 35(5):1007–1016CrossRef
Zurück zum Zitat Melchiorre C, Matteucci M, Azzoni A, Zanchi A (2008) Artificial neural networks and cluster analysis in landslide susceptibility zonation. Geomorphology 94(3–4):379–400CrossRef Melchiorre C, Matteucci M, Azzoni A, Zanchi A (2008) Artificial neural networks and cluster analysis in landslide susceptibility zonation. Geomorphology 94(3–4):379–400CrossRef
Zurück zum Zitat Miles SB, Keefer DK (2009) Evaluation of CAMEL—comprehensive areal model of earthquake-induced landslides. Eng Geol 104(1–2):1–15CrossRef Miles SB, Keefer DK (2009) Evaluation of CAMEL—comprehensive areal model of earthquake-induced landslides. Eng Geol 104(1–2):1–15CrossRef
Zurück zum Zitat Muthu K, Petrou M, Tarantino C, Blonda P (2008) Landslide possibility mapping using fuzzy approaches. IEEE Trans Geosci Remote Sens 46(4):1253–1265CrossRef Muthu K, Petrou M, Tarantino C, Blonda P (2008) Landslide possibility mapping using fuzzy approaches. IEEE Trans Geosci Remote Sens 46(4):1253–1265CrossRef
Zurück zum Zitat Nandi A, Shakoor A (2010) A GIS-based landslide susceptibility evaluation using bivariate and multivariate statistical analyses. Eng Geol 110(1–2):11–20CrossRef Nandi A, Shakoor A (2010) A GIS-based landslide susceptibility evaluation using bivariate and multivariate statistical analyses. Eng Geol 110(1–2):11–20CrossRef
Zurück zum Zitat National Forest Research Institute (1991) Forest maps of Chungman 1:25,000 Published by National Forest Research Institute, Seoul, Korea National Forest Research Institute (1991) Forest maps of Chungman 1:25,000 Published by National Forest Research Institute, Seoul, Korea
Zurück zum Zitat National Forest Research Institute (1992) Forest maps of GyeongGi 1:25,000 Published by National Forest Research Institute, Seoul, Korea National Forest Research Institute (1992) Forest maps of GyeongGi 1:25,000 Published by National Forest Research Institute, Seoul, Korea
Zurück zum Zitat National Geographic Institute (1995) Topographic maps of Boeun and Janghun 1:5,000 Published by National Geographic Institute, Suwon, Korea National Geographic Institute (1995) Topographic maps of Boeun and Janghun 1:5,000 Published by National Geographic Institute, Suwon, Korea
Zurück zum Zitat National Geographic Institute (2001) Topographic maps of Youngin 1:5,000 Published by National Geographic Institute, Suwon, Korea National Geographic Institute (2001) Topographic maps of Youngin 1:5,000 Published by National Geographic Institute, Suwon, Korea
Zurück zum Zitat National Institute of Agricultural Science and Technology (1973) Soil maps of 1:25,000 and 150,000 Published by National Institute of Agricultural Science and Technology, Suwon, Korea National Institute of Agricultural Science and Technology (1973) Soil maps of 1:25,000 and 150,000 Published by National Institute of Agricultural Science and Technology, Suwon, Korea
Zurück zum Zitat Oh H-J, Lee S, Chotikasathien W, Kim C, Kwon J (2009) Predictive landslide susceptibility mapping using spatial information in the Pechabun area of Thailand. Environ Geol 57(3):641–651CrossRef Oh H-J, Lee S, Chotikasathien W, Kim C, Kwon J (2009) Predictive landslide susceptibility mapping using spatial information in the Pechabun area of Thailand. Environ Geol 57(3):641–651CrossRef
Zurück zum Zitat Ohlmacher GC (2007) Plan curvature and landslide probability in regions dominated by earth flows and earth slides. Eng Geol 91(2–4):117–134CrossRef Ohlmacher GC (2007) Plan curvature and landslide probability in regions dominated by earth flows and earth slides. Eng Geol 91(2–4):117–134CrossRef
Zurück zum Zitat Ozdemir A (2009) Landslide susceptibility mapping of vicinity of Yaka Landslide (Gelendost, Turkey) using conditional probability approach in GIS. Environ Geol 57(7):1675–1686CrossRef Ozdemir A (2009) Landslide susceptibility mapping of vicinity of Yaka Landslide (Gelendost, Turkey) using conditional probability approach in GIS. Environ Geol 57(7):1675–1686CrossRef
Zurück zum Zitat Poudyal CP, Chang C, Oh HJ, Lee S (2010) Landslide susceptibility maps comparing frequency ratio and artificial neural networks: a case study from the Nepal Himalaya. Environ Earth Sci. doi: 10.1007/s12665-009-0426-5 Poudyal CP, Chang C, Oh HJ, Lee S (2010) Landslide susceptibility maps comparing frequency ratio and artificial neural networks: a case study from the Nepal Himalaya. Environ Earth Sci. doi: 10.​1007/​s12665-009-0426-5
Zurück zum Zitat Pradhan B, Lee S (2009) Landslide risk analysis using artificial neural network model focussing on different training sites. Int J Phys Sci 4(1):01–015 Pradhan B, Lee S (2009) Landslide risk analysis using artificial neural network model focussing on different training sites. Int J Phys Sci 4(1):01–015
Zurück zum Zitat Pradhan B, Lee S (2010a) Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models. Environ Earth Sci 60(5):1037–1054CrossRef Pradhan B, Lee S (2010a) Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models. Environ Earth Sci 60(5):1037–1054CrossRef
Zurück zum Zitat Pradhan B, Lee S (2010b) Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling. Environ Modell Softw 25(6):747–759CrossRef Pradhan B, Lee S (2010b) Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling. Environ Modell Softw 25(6):747–759CrossRef
Zurück zum Zitat Pradhan B, Lee S (2010c) Regional landslide susceptibility analysis using back-propagation neural network model at Cameron Highland, Malaysia. Landslides 7(1):13–30CrossRef Pradhan B, Lee S (2010c) Regional landslide susceptibility analysis using back-propagation neural network model at Cameron Highland, Malaysia. Landslides 7(1):13–30CrossRef
Zurück zum Zitat Pradhan B, Lee S, Buchroithner MF (2010) A GIS-based back-propagation neural network model and its cross-application and validation for landslide susceptibility analyses. Comput, Environ Urban Syst 34(3):216–235CrossRef Pradhan B, Lee S, Buchroithner MF (2010) A GIS-based back-propagation neural network model and its cross-application and validation for landslide susceptibility analyses. Comput, Environ Urban Syst 34(3):216–235CrossRef
Zurück zum Zitat Ray RL, De Smedt F (2009) Slope stability analysis on a regional scale using GIS: a case study from Dhading, Nepal. Environ Geol 57(7):1603–1611CrossRef Ray RL, De Smedt F (2009) Slope stability analysis on a regional scale using GIS: a case study from Dhading, Nepal. Environ Geol 57(7):1603–1611CrossRef
Zurück zum Zitat Regmi NR, Giardino JR, Vitek JD (2010) Modeling susceptibility to landslides using the weight of evidence approach: Western Colorado, USA. Geomorphology 115(1–2):172–187CrossRef Regmi NR, Giardino JR, Vitek JD (2010) Modeling susceptibility to landslides using the weight of evidence approach: Western Colorado, USA. Geomorphology 115(1–2):172–187CrossRef
Zurück zum Zitat Saha AK, Gupta RP, Sarkar I, Arora MK, Csaplovics E (2005) An approach for GIS-based statistical landslide susceptibility zonation-with a case study in the Himalayas. Landslides 2(1):61–69CrossRef Saha AK, Gupta RP, Sarkar I, Arora MK, Csaplovics E (2005) An approach for GIS-based statistical landslide susceptibility zonation-with a case study in the Himalayas. Landslides 2(1):61–69CrossRef
Zurück zum Zitat Shou K, Chen Y, Liu H (2009) Hazard analysis of Li-shan landslide in Taiwan. Geomorphology 103(1):143–153CrossRef Shou K, Chen Y, Liu H (2009) Hazard analysis of Li-shan landslide in Taiwan. Geomorphology 103(1):143–153CrossRef
Zurück zum Zitat Vahidnia MH, Alesheikh AA, Alimohammadi A, Hosseinali F (2010) A GIS-based neuro-fuzzy procedure for integrating knowledge and data in landslide susceptibility mapping. Comput Geosci 36(9):1101–1114 Vahidnia MH, Alesheikh AA, Alimohammadi A, Hosseinali F (2010) A GIS-based neuro-fuzzy procedure for integrating knowledge and data in landslide susceptibility mapping. Comput Geosci 36(9):1101–1114
Zurück zum Zitat Wang Y-M, Elhag TMS (2008) An adaptive neuro-fuzzy inference system for bridge risk assessment. Expert Syst Appl 34(4):3099–3106CrossRef Wang Y-M, Elhag TMS (2008) An adaptive neuro-fuzzy inference system for bridge risk assessment. Expert Syst Appl 34(4):3099–3106CrossRef
Zurück zum Zitat Yilmaz I (2009) Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat-Turkey). Comput Geosci 35(6):1125–1138CrossRef Yilmaz I (2009) Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat-Turkey). Comput Geosci 35(6):1125–1138CrossRef
Zurück zum Zitat Yilmaz I (2010) Comparison of landslide susceptibility mapping methodologies for Koyulhisar, Turkey: conditional probability, logistic regression, artificial neural networks, and support vector machine. Environ Earth Sci 61(4):821–836CrossRef Yilmaz I (2010) Comparison of landslide susceptibility mapping methodologies for Koyulhisar, Turkey: conditional probability, logistic regression, artificial neural networks, and support vector machine. Environ Earth Sci 61(4):821–836CrossRef
Zurück zum Zitat Zhou CH, Lee CF, Li J, Xu ZW (2002) On the spatial relationship between landslides and causative factors on Lantau Island, Hong Kong. Geomorphology 43(3–4):197–207CrossRef Zhou CH, Lee CF, Li J, Xu ZW (2002) On the spatial relationship between landslides and causative factors on Lantau Island, Hong Kong. Geomorphology 43(3–4):197–207CrossRef
Metadaten
Titel
Cross-application used to validate landslide susceptibility maps using a probabilistic model from Korea
verfasst von
Hyun-Joo Oh
Saro Lee
Publikationsdatum
01.09.2011
Verlag
Springer-Verlag
Erschienen in
Environmental Earth Sciences / Ausgabe 2/2011
Print ISSN: 1866-6280
Elektronische ISSN: 1866-6299
DOI
https://doi.org/10.1007/s12665-010-0864-0

Weitere Artikel der Ausgabe 2/2011

Environmental Earth Sciences 2/2011 Zur Ausgabe