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Environmental Earth Sciences

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01.06.2012 | Original Article

Landslide susceptibility assessment: what are the effects of mapping unit and mapping method?

verfasst von: A. Erener, H. S. B. Düzgün

Erschienen in: Environmental Earth Sciences | Ausgabe 3/2012

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Abstract

Landslide susceptibility assessment forms the basis of any hazard mapping, which is one of the essential parts of quantitative risk mapping. For the same study area, different susceptibility maps can be achieved depending on the type of susceptibility mapping methods, mapping unit, and scale. Although there are various methods of obtaining susceptibility maps, the efficiency and performance of each method should be evaluated. In this study the effect of mapping unit and susceptibility mapping method on landslide susceptibility assessment is investigated. When analyzing the effect of susceptibility mapping method, logistic regression (LR) which is widely used in landslide susceptibility mapping and, spatial regression (SR), which have not been used for landslide susceptibility mapping, are selected. The susceptibility maps with logistic and spatial regression models are obtained using two different mapping units namely slope unit-based and grid-based mapping units. The procedure for investigation of effect of mapping unit on different susceptibility mapping methods is applied to Kumluca watershed, in Bartin Province of Western Black Sea Region, Turkey. 18 factor maps are prepared for landslide susceptibility assessment in the study region. Geographic information systems and remote sensing techniques are used to create the landslide factor maps, to obtain susceptibility maps and to compare the results. The relative operating characteristics (ROC) curve is used to compare the predictive abilities of each model and mapping unit and also the accuracy is evaluated depending on the observations made during field surveys. By analyzing the area under the ROC curve for grid-based and slope unit-based mapping units, it can be concluded that SR model provide better predictive performance (0.774 in grids and 0.898 in slope units) as compared to the LR model (0.744 in grids and 0.820 in slope units). This result is also supported by the accuracy analysis. For both mapping units, the SR model provides more accurate result (0.55 for grids and 0.57 for slope units) than the LR model (0.50 for grids and 0.48 for slopes). The main reason for this better performance is that the spatial correlations between the mapping units are incorporated into the model in SR while this fact is not considered in LR model.

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Akgün A, Bulut F (2007) GIS-based landslide susceptibility for Arsin-Yomra (Trabzon. North Turkey) region. Environ Geol 51:1377–1387CrossRef

Aleotti P, Chowdhury R (1999) Landslide hazard assessment: summary review and new perspectives. Bull Eng Geol Env 58:21–44CrossRef

Atkinson PM, Jiskoot H, Massari R, Murray T (1998) Generalized linear modeling in geomorphology. Earth Surf Proc Land 23:1185–1195CrossRef

Ayalew L, Yamagishi H (2005) The application of GIS-based logistic regression for susceptibility mapping in the Kakuda-Yahiko Mountains. Central Japan. Geomorphology 65(12):15–31CrossRef

Bathrellos GD, Kalivas DP, Skilodimou HD (2009) Landslide susceptibility mapping models, applied to natural and urban planning, using GIS. Journal Estudios Geológicos 65(1):49–65CrossRef

Begueria S, Lorente A (1999) Landslide hazard mapping by multivariate statistics: comparison of methods and case study in the Spanish Pyrenees Damocles. Debrisfall assessment in mountain catchments for local end-users (1999) Contract No EVG1—CT-1999-00007

Bonham Carter GF (1994) Geographic Information Systems for geoscientists: modeling with GIS (1994). Pergamon, Ottawa

Brabb EE (1984) Innovative approaches to landslide hazard mapping. In: Proceedings of 4th International Symposium on Landslides, Toronto, pp 307–324

Brabb EE, Pampeyan EH, Bonilla MG (1972) Landslide susceptibility in San Mateo County California. Misc Field Studies Map MF360 US Geological Survey Reston

Can T, Nefeslioglu HA, Gökçeoglu C, Sönmez H, Duman TY (2005) Susceptibility assessments of shallow earth flows triggered by heavy rainfall at three subcatchments by logistic regression analyses. Geomorphology 72(1–4):250–271CrossRef

Carrara A (1983) Multivariate methods for landslide hazard evaluation. Math Geol 15:403–426CrossRef

Carrara A (1988) Landslide hazard mapping by statistical methods: a black box model approach. In: Proceedings of the Workshop on Natural Disaster in European Mediterranean Countries, Consiglio Nazionale delle Ricerche, Perugia

Carrara A, Catalano E, Sorriso-Valvo M, Reali C, Ossi I (1978) Digital terrain analysis for land evaluation. Geologia Applicata e Idrogeologia 13:69–127

Carrara A, Cardinali M, Detti R, Guzzetti F, Pasqui V, Reichenbach P (1991) GIS techniques and statistical models in evaluating landslide hazard. Earth Surf Process Landf 16:427–445CrossRef

Carrara A, Cardinalli M, Guzzetti F (1992) Uncertainty in assessing landslide hazard and risk. ITC J 2:172–183

Carrara A, Cardinali M, Guzzetti F, Reichenbach P (1995) GIS technology in mapping landslide hazard. In: Carrara A, Guzzetti F (eds) Geographical Information Systems in assessing natural hazards. Kluwer, Dordrecht, pp 135–175

Carrara A, Guzzetti F, Cardinali M, Andreichenbach P (1999) Use of GIS technology in the prediction and monitoring of landslide hazard. Nat Hazards 20:117–135CrossRef

Castellanos Abella EA, van Westen CJ (2008) Qualitative landslide susceptibility assessment by multicriteria analysis: a case study from San Antonio del Sur, Guantánamo, Cuba. Geomorphol: Int J pure Appl Geomorphol 94(3–4):453–466

Chacon J, Irigaray C, Fernandez T, El Hamdouni R (2006) Engineering geology maps: landslides and geographical information systems. Bull Eng Geol Environ 65:341–411CrossRef

Chinnayakanahalli K, Hill R, Olson J, Kroeber C, Tarboton DG, Hawkins C (2002) The Multi-Watershed Delineation Tool: GIS Software in support of regional watershed analyses. Revisited date 24.11.2009 from http://hydrology.neng.usu.edu/mwdtool/MWDManual.pdf

Choi J, Oh HJ, Won JS, Lee S (2009) Validation of an artificial neural network model for landslide susceptibility mapping. Environ Earth Sci 60:473–483CrossRef

Chung CF, Fabbri AG (1995) Multivariate regression analysis for landslide hazard zonation. In: Carrara A, Guzzetti F (eds) Geographical Information Systems in assessing natural hazards. Kluwer, Dordrecht, pp 107–142

Crozier MJ (1986) Landslides: causes, consequences and environment. Croom Helm, London, p 252

Dahal RK, Hasegawa S, Nonomura S, 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):314–324CrossRef

Dai FC, Lee CF (2001) Terrain-based mapping of landslide susceptibility using a geographical information system: a case study. Can Geotech J 38:911–923CrossRef

Dai FC, Lee CF (2002) Landslide characteristics and slope instability modeling using GIS, Lantau Island, Hong Kong. Geomorphology 42(3–4):213–228CrossRef

Dai FC, Lee CF, Li J, Xu ZW (2001) Assessment of landslide suspectibility on the natural terrain of Lantau Island. Hong Kong. Environ Geol 43(3):381–391

Dai FC, Lee CF, Ngai YY (2002) Landslide risk assessment and management: an overview. Eng Geol 64:65–87CrossRef

Demir B, Ercan S (1999) Yenice ilcesindeki heyelanlar uzerine bazi gozlemler. In: Abstracts Book of 3rd National Symposium on Landslides of Turkey, Cukurova University, Adana, pp 15–27 (in Turkish)

Deveciler E (1986) Alapli–Bartin–Cide (B. Karadeniz) jeoloji raporu. MTA yayinlari, Derleme 7938:58 (in Turkish)

Duman TY, Emre O, Can T, Ates S, Kecer M, Erkal T, Durmaz S, Dogan A, Corekcioglu E, Goktepe A, Cicioglu E, Karakaya F (2001) Turkish landslide inventory mapping project: methodology and results on Zonguldak quadrangle (1/500000), working in progress 25 on the geology of Turkey and its surroundings. In: abstract book of the 4th Int. Turkish Geology Symp., 24–28, p 392

Duman TY, Can T, Gökçeoğlu C, Nefeslioğlu HA, Sönmez H (2006) Application of logistic regression for landslide susceptibility zoning of Cekmece Area. Istanbul. Turkey. Environ Geol 51(2):241–256CrossRef

Düzgün HSB, Kemeç S (2008) Spatial regression and geographically weighted regression for spatial prediction. In: Shekhar S, Xiong H (eds) The encyclopedia of geographical information science. Springer, New York

Einstein HH (1988) Special lecture: landslide risk assessment procedure. In: Proceedings of 5th International Symposium on Landslides. Lausanne, vol 2, pp 1075–1090

Ercanoğlu M (2005) Landslide susceptibility assessment of SE Bartin (West Black Sea region, Turkey) by artificial neural networks. Nat Hazards Earth Syst Sci 5:979–992CrossRef

Ercanoğlu M, Gökçeoğlu C, Van Asch ThWJ (2004) Landslide susceptibility zoning north of Yenice (NW Turkey) by multivariate statistical techniques. Nat Hazards 32:1–23CrossRef

Erener A, Düzgün HSB (2006) Comparison of Statistical Landslide Hazard Assessment Methods at Regional Scale, International Disaster Reduction Conference (IDRC), Davos. Switzerland 3:164

Erener A, Düzgün HSB (2008) Analysis of landslide hazard mapping methods: regression models versus weight rating; XXIst ISPRS Congress 2008; 3–11 July. Beijing, China. Commission VIII papers, Part B8, ISSN 37:1682–1750

Erener A, Düzgün HSB (2010) Improvement of statistical landslide susceptibility mapping by using spatial and global regression methods in the case of More and Romsdal Norway. Landslides 7(1):55–68CrossRef

Erener A, Lacasse S, Kaynia AM (2007) Landslide hazard mapping by using GIS in the Lilla Edet province of Sweden, 28th Asian Conference on Remote Sensing ACRS2007, Kuala Lumpur

GCM (2007) General command of mapping. Elevation map, hydrology and transportation map, Ankara

GDDA (2007) General Directorates of Disaster Affairs. Landslide reports, Bartın

GDMRE (2007) General Directorate of Mineral Research and Exploration. Geologic Map and Landslide Map, Ankara

GDRA (2007) General Directorate of Rural Affairs. Soil Maps and Land Use Maps, Ankara

George D, Mallery P (2000) SPSS for Windows step-by step: a simple guide and reference, 2nd edn. Allyn and Bacon, Boston

Gökçeoğlu C, Ercanoğlu M (2002) Heyelan duyarlılık haritalarının hazırlanmasında kullanılan parametrelere iliksin belirsizlikler. Hacettepe Üniversitesi Yerbilimleri Uygulama ve Arastırma Merkezi Bülteni 23:189–206

Gökçeoğlu C, Sönmez H, Nefeslioglu HA, Duman TY, Can T (2005) The 17 March 2005 Kuzulu landslide (Sivas, Turkey) and landslide-susceptibility map of its near vicinity. Eng Geol 81:65–83CrossRef

Gömez H, Kavzoglu T (2005) Assessment of shallow landslide susceptibility using artificial neural networks in Jabonosa River Basin. Venezuela. Eng Geol 78:11–27CrossRef

Gopalan H, Whiteaker T and Maidment D (2002) Determining Watershed Parameters Using Arc Hydro. http://gis.esri.com/library/userconf/proc03/p0805.pdf

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 31:181–216CrossRef

Guzzetti F, Cardinalli M, Reichenbach P, Carrara A (2000) Comparing landslide maps: a case study in the upper Tiber river basin. Central Italy. Environ Manag 25(3):247–263CrossRef

Guzzetti F, Reichenbach P, Cardinali M, Gali M, Ardizzone F (2005) Landslide hazard assessment in the Staffora basin. Northern Italian Apennines. Geomorphology 72:272–299CrossRef

Guzzetti F, Galli M, Reichenbach P, Ardizzone F, Cardinali M (2006) Landslide hazard assessment in the Collazzone area, Umbria, Central Italy. Nat Hazards Earth Syst Sci 6:115–131CrossRef

Hansen A (1984) Landslide hazard analysis. In: Brundsen D, Prior DB (eds) Slope instability. Wiley, New York, pp 523–602

Hartlen J, Viberg L (1988) Evaluation of landslide hazard. In: Proceedings of 5th International Symposium on Landslides, Balkema, Rotterdam pp 1037–1058

Hearn GJ, Griffiths JS (2001) Landslide hazard mapping and risk assessment. Geol Soc Special Publ 18:43–52

Huabin W, Gangjun Weiya LX, Gonghui W (2005) GIS-based landslide hazard assessment: an overview. Prog Phys Geogr 29(4):548–567CrossRef

Hutchinson JN (1995) Landslide hazard assessment. In: Proceedings of VI Int Symposium on Landslides, vol 1. Christchurch, pp 1805–1842

Komac M (2006) A landslide susceptibility model using the Analytical Hierarchy Process method and multivariate statistics in perialpine Slovenia. Geomorphology 74:17–28CrossRef

Lan HX, Zhou CH, Wang LJ, Zhang HY, Li RH (2004) Landslide hazard spatial analysis and prediction using GIS in the Xiaojiang watershed. Yunnan. China. Eng Geol 76(12):109–128CrossRef

Landslide Reports (1985) The Ministry of Public Works and Settlement, General Directorate of Disaster Affairs, The Geologic Etude and Investigation Directory of Bartın

Lee S (2004) Application of likelihood ratio and logistic regression models to landslide susceptibility mapping using GIS. Environ Manag 34(2):223–232CrossRef

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 (preview article)

Lee S, Min K (2001) Statistical analysis of landslide susceptibility at Yongin, Korea. Environ Geol 40:1095–1113CrossRef

Lee S, Choi J, Min K (2004) Probabilistic landslide hazard mapping using GIS and remote sensing data at Boun. Korea. Int J Remote Sens 25(11):2037–2052CrossRef

Leroi E (1996) Landslide hazard—risk maps at different scales: objectives, tools and developments. In: Proceedings of VII International Symposium on Landslides, vol 1. Trondheim, pp 35–52

LeSage JP (1999) The theory and practice of spatial econometrics department of economics. University of Toledo, Toledo

Maidment RD (2002) ArcHydro GIS for Water resources. ESRI Press. 380 New York Street. Redlands California. ISBN-13:978-1-58948-034-6

Mathew J, Jha VK, Rawat GS (2008) Landslide susceptibility zonation mapping and its validation in part of Garhwal Lesser Himalaya, India, using binary logistic regression analysis and receiver operating characteristic curve method. Landslides 6(1):17–26CrossRef

Meijerink AMJ (1988) Data acquisition and data capture through terrain mapping unit. Int Comput J 1:23–44

Menard S (1995) Applied logistic regression analysis. Sage University Paper Series on Quantitative Applications in Social Sciences. Thousand Oaks 106:98

Mertler CA, Vannatta RA (2002) Advanced and multivariate statistical methods practical applications and interpretations, 2nd edn. Pyrczak Publishing, Los Angeles

Miles SB, Ho C (1999) Rigorous landslide hazard zonation using Newmark’s method and stochastic ground motion simulation. Soil Dyn Earthq Eng 18:305–323CrossRef

Mulder HF (1991) Assessment of landslide hazard Profschrift ter Verkrijging van Graad van Doctor an de Rijkuniversiteit te Utrecht. University of Utrecht, Utrecht, p 150

Ohlmacher GC, Davis CJ (2003) Using multiple logistic regression and GIS technology to predict landslide hazard in northeast Kansas. USA. Eng Geol 69:331–343CrossRef

Pandey A, Dabral PP, Chowdary VM and Yadav NK (2008) Landslide Hazard Zonation using Remote Sensing and GIS: a case study of Dikrong river basin. Arunachal Pradesh. India. Environ Geol 54(7):1517–1529. doi:10.1007/s00254-007-0933-1

Pike RJ (1988) The geometric signature: quantifying landslide terrain types from digital elevation models. Math Geol 20(5):491–511CrossRef

Pradhan B (2010a) Use of GIS-based fuzzy logic relations and its cross application to produce landslide susceptibility maps in three test areas in Malaysia. Environ Earth Sci 63(2):329–349CrossRef

Pradhan B (2010b) Remote sensing and GIS-based landslide hazard analysis and cross-validation using multivariate logistic regression model on three test areas in Malaysia. Adv Space Res 45:1244–1256CrossRef

Pradhan B, Lee S (2010) Delineation of landslide hazard areas using frequency ratio, logistic regression and artificial neural network model at Penang Island, Malaysia. Environ Earth Sci 60:1037–1054CrossRef

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 34:216–235CrossRef

Saha AK, Gupta RP, Arora MK (2002) GIS-based Landslide Hazard Zonation in the Bhagirathi (Ganga) Valley, Himalayas. Int J Remote Sens 23(2):357–369CrossRef

Soeters R, Van Westen CJ (1996) Slope stability: recognition, analysis and zonation. In: Turner AK, Shuster RL (eds) Landslides: investigation and mitigation. Transportation Research Board—National Research Council. Sorriso-Valvo Special Report, pp 129–177

Tunusluoglu MC, Gökçeoğlu C, Nefeslioğlu HA, Sönmez H (2008) Extraction of potential debris source areas by logistic regression technique: A case study from Barla. Besparmak and Kapi Mountains (NW Taurids. Turkey). Environ Geol 54:9–22CrossRef

Van Westen CJ (1993a) Application of Geographic Information System to landslide hazard zonation. ITC-Publication No. 15 ITC, Enschede, p 245

van Westen CJ (1993b) Remote sensing and geographic information systems for geological hazard mitigation. ITC J 4:393–399

van Westen CJ (1994) GIS in landslide hazard zonation: a review with examples from the Colombian Andes. In: Price MF, Heywood DI (eds) Mountain environments and Geographic Information Systems. Taylor and Francis, London, pp 135–165

van Westen CJ (2004) Geo-information tools for landslide risk assessment: an overview of recent developments. In: Lacerda WA, Ehrlich M, Fontoura SAB, Sayao ASF (eds) Landslides: evaluation and stabilizatio, vol 1. Balkema, London, pp 39–56

van Westen CJ, Rengers N, Terlien MTJ, Soeters R (1997) Prediction of the occurrence of slope instability phenomena through GIS-based hazard zonation. Geol Rundsch 86:404–414CrossRef

van Westen CJ, van Asch TWJ, Soeters R (2005) Landslide hazard and risk zonation: why is it still so difficult? Bull Eng Geol Environ: Off J Int Assoc Eng Geol Environ IAEG 65(2):176–184

Varnes DJ (1978) Landslides types and processes. In: Eckel EB (ed) Landslides and engineering practice. Highway Research Board Special Report, 29. pp 20–47

Varnes DJ, with IAEG Commission on landslides and other mass movements (1984) Landslide hazard zonation: a review of principles and practices. UNESCO Press, Paris, p 63

Wang WD, Xie CM, Du XG (2008) Landslides susceptibility mapping based on geographical information system, GuiZhou, south-west China. Environ Geol 58(1):33–43CrossRef

WP/WLI (International Geotechnical Societies = UNESCO Working Party on World Landslide Inventory) (1993) A suggested method for describing the activity of a landslide. Bull Int Assoc Eng Geol 47:53–57

Wu TH, Abdel-Latif MA (2000) Prediction and mapping of landslide hazard. Can Geotech J 37:781–795CrossRef

Xie M, Esaki T, Zhou G (2004) GIS-based probabilistic mapping of landslide hazard using a three-dimensional deterministic model. Nat Hazards 33:265–282CrossRef

Yalcin A, Bulut F (2007) Landslide susceptibility mapping using GIS and digital photogrammetric techniques: a case study from Ardesen (NE-Turkey). Nat Hazards 41:201–226CrossRef

Yesilnacar E, Topal T (2005) Landslide susceptibility mapping: a comparison of logistic regression and neural networks methods in a medium scale study. Hendek region (Turkey). Eng Geol 79:251–266CrossRef

Yilmaz I (2009) Landslide susceptibility 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 (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

Zhu L, Huang J (2006) GIS-based logistic regression method for landslide susceptibility mapping in regional scale. J Zhejiang Univ Sci A 7(12):2007–2017CrossRef

Titel: Landslide susceptibility assessment: what are the effects of mapping unit and mapping method?
verfasst von: A. Erener
H. S. B. Düzgün
Publikationsdatum: 01.06.2012
Verlag: Springer-Verlag
Erschienen in: Environmental Earth Sciences / Ausgabe 3/2012
Print ISSN: 1866-6280
Elektronische ISSN: 1866-6299
DOI: https://doi.org/10.1007/s12665-011-1297-0

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