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Debris-flow susceptibility assessment at regional scale: Validation on an alpine environment

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Abstract

A debris flow is an erosional process that frequently occurs in areas with steep slopes. Although the initiation can be triggered in higher and inhabited altitudes, the propagation and then the deposition can endanger urbanized areas. Frequently, the zones of generation of debris flows are placed in unattainable territories complicating field observations. Moreover, the rapid vegetation’s recovery can hide the scars and tracks created by the occurrence of the flow, unlikely to be recognizable in aerial photos. As a consequence, the assessment of debris-flow susceptibility at regional scale is increasing in interest. Two main techniques can be applied for the regional susceptibility assessment: physical models and statistical models. Here, two physical models are introduced simulating the initiation of debris flow by means of shallow landslides: one based on the lateral groundwater flow and the other on vertical groundwater flow. The presented models’ algorithms are implemented in a toolbox based on GIS environment and declared as open source code. Being applied in a basin of the Spanish Pyrenees where soil properties and dataset of observations have been gathered, the two models have been evaluated. Successively, they have been compared with a statistical model based on a logistic regression. The results have been aggregated in terrain units, built as fluvio-morphological sub-catchments. Each model has been tested based on the gathered observations. It has been observed that the vertical flow-based model enhances by 18 % the performance of the lateral flow-based model in matching debris-flow susceptible areas. Furthermore, the vertical flow-based model performance is found to be similar to that of the logistic regression, having an averaged quality index of about 70 %.

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References

  • Baeza C (1994) Evaluacion de las condiciones de rotura y la movilidad de los deslizamientos superficiales mediante el uso de tecnicas de analisis multivariante. PhD thesis, Universitat Politecnica de Catalunya, Barcelona, Spain (in Spanish)

  • Bathurst JC, Burton A, Clarke BG, Gallart F (2006) Application of the SHETRAN basin-scale, landslide sediment yield model to the Llobregat basin, Spanish Pyrenees. Hydrol Process 20:3119–3138. doi:10.1002/hyp.6151

    Article  Google Scholar 

  • Beven KJ, Kirkby MJ (1979) A physically based variable contributing area model of basin hydrology. Hydrol Sci Bull 24(1):43–69

    Article  Google Scholar 

  • Borga M, Dalla Fontana G, Da Ros D, Marchi L (1998) Shallow landslide hazard assessment using a physically based model and digital elevation data. Environ Geol 35:81–88

    Article  Google Scholar 

  • Borga M, Dalla Fontana G, Gregoretti C, Marchi L (2002) Assessment of shallow landsliding by using a physically based model of hillslope stability. Hydrol Process 16:2833–2851

    Article  Google Scholar 

  • Bregoli F, Bateman A, Medina V, Ciervo F, Hürlimann M, Chevalier G (2011) Development of preliminary assessment tools to evaluate debris flow hazard. In Genevois R. (ed) 5th international conference on debris-flow hazards: mitigation, mechanics, prediction and assessment. Padua, Italy, 14-17 June 2011. Italian Journal of Engineering Geology and Environment - Università La Sapienza, Roma. doi:10.4408/IJEGE.2011-03.B-091

  • Bromhead EN (1992) The stability of slopes. Blackie academic & professional, London

    Google Scholar 

  • Brower C, Heibloem M (1986) Irrigation Water Management: Irrigation water needs. Training Manual 3. Publications Division, Food and Agriculture Organization of the United Nations, Rome. http://www.fao.org/docrep/S2022E/S2022E00.htm. Accessed 1st of November 2011

  • Carrara A, Cardinali M, Detti R, Guzzetti F, Pasqui V, Reichenbach P (1991) GIS techniques and statistical models in evaluating landslide hazard. Earth Surface Processes and Landforms, John Wiley & Sons, Ltd, 16, 427-445

  • Carrara A, Crosta G, Frattini P (2008) Comparing models of debris-flow susceptibility in the alpine environment. Geomorphology 94:353–378

    Article  Google Scholar 

  • Chevalier G, Medina V, Hürlimann M, Bateman A (2013) Debris-flow susceptibility analysis using fluvio-morphological parameters and data mining: application to the Central-Eastern Pyrenees. Natural Hazards. Springer, Netherlands, pp 1–26

    Google Scholar 

  • Chow VT, Maidment DR, Mays LW (1988) Applied hydrology. McGraw-Hill, New York

    Google Scholar 

  • Clotet N, Gallart F (1984) Inventari de degradacions de vessants originades pels aiguats de novembre de 1982, a les altes conques del Llobregat i Cardener. Servei Geologic de la Generalitat de Catalunya, Barcelona, Spain (in Spanish)

  • Corominas J, Moya J (2010) Contribution of dendrochronology to the determination of magnitude frequency relationships for landslides. Geomorphology 124:137–149

  • Coussot P, Meunier M (1996) Recognition, classification and mechanical description of debris flows. Earth-Sci Rev 40:209–227

    Article  Google Scholar 

  • CREAF (2008) Land coverage map of Catalonia. http://www.creaf.uab.cat/mcsc/. Accessed 25 of November 2011

  • Crosta GB, Frattini P (2003) Distributed modelling of shallow landslides triggered by intense rainfall. Nat Hazards Earth Syst Sci 3:81–93. doi:10.5194/nhess-3-81-2003

    Article  Google Scholar 

  • Crosta GB, Frattini P (2008) Rainfall-induced landslides and debris flows. Hydrol Process 22:473–477

    Article  Google Scholar 

  • Dai F, Lee C (2002) Landslide characteristics and slope instability modeling using GIS, Lantau Island, Hong Kong. Geomorphology 42:213–228

    Article  Google Scholar 

  • Dietrich WE, Wilson CJ, Montgomery DR, McKean J, Bauer R (1992) Erosion thresholds and land surface morphology. Geology 20:675–679

  • Fawcett T (2006) An introduction to ROC analysis. Pattern Recogn Lett 27:861–874

    Article  Google Scholar 

  • Fell R, Corominas J, Bonnard C, Cascini L, Leroi E, Savage WZ (2008) Guidelines for landslide susceptibility, hazard and risk zoning for land use planning. Eng Geol 102:85–98

    Article  Google Scholar 

  • Frattini P, Crosta G, Carrara A (2010) Techniques for evaluating the performance of landslide susceptibility models. Eng Geol, Elsevier 111:62–72

  • Gimenez JC, Olaya V (2008) Sextante Java library for geospatial analysis. Junta de Extremadura. European Commission, Spain

    Google Scholar 

  • GITS-UPC (2010) Deliverable 2.1 - Methodologies to identify areas of high potential FF & DF risk. Technical report, IMPRINTS, 2010

  • Green WH, Ampt GA (1911) Studies on soil physics, part I, the flow of air and water through soils. J Agric Sci 4(1):1–24

    Article  Google Scholar 

  • Guzzetti F, Reichenbach P, Cardinali M, Galli M, Ardizzone F (2005) Probabilistic landslide hazard assessment at the basin scale. Geomorphology 72:272–299

    Article  Google Scholar 

  • Guzzetti F, Reichenbach P, Ardizzone F, Cardinali M, Galli M (2006) Estimating the quality of landslide susceptibility models. Geomorphology 81:166–184

    Article  Google Scholar 

  • Hungr O, Evans SG, Bovis MJ, Hutchinson JN (2001) A review of the classification of landslides of the flow type. Environ Eng Geosci 3:221–238

    Article  Google Scholar 

  • Hürlimann M, Abancó C, Moya J (2010) Debris-flow initiation affected by snowmelt. Case study from the Senet monitoring site, Eastern Pyrenees. Proceedings of the "Mountain Risks: Bringing science to society" International Conference. Firenze, Italy, p.81-86

  • Hürlimann M, Chevalier G, Moya J, Abancó C, Llorens M (2012) Elaboration of a magnitude-frequency relationship for debris flows by aerial photographs. Case study from a national park in the Spanish Pyrenees. Proceedings of the “XI Int. Symposium on Landslides and Engineered Slopes”. Banff, Canada, p 717–722

  • Institut Cartogràfic de Catalunya (2011) Ortophotos, topography and geology maps of Catalonia. www.icc.cat. Accessed 12 of August 2011

  • Instituto Geografico Nacional (2008) Digital Elevation Model of Spain. www.ign.es. Accessed 15 of December 2011

  • Iverson RM (2000) Landslide triggering by rain infiltration. Water Resour Res 36(7):1897–1910

  • Iverson RM, Reid ME, LaHusen RG (1997) Debris-flow mobilization from landslides. 1. Annu Rev Earth Planet Sci 25:85–138

    Article  Google Scholar 

  • Jakob M, Hungr O (2005) Debris-flow hazards and related phenomena. Springer, Berlin Heidelberg

    Google Scholar 

  • Jenkinson A (1955) The frequency distribution of the annual maximum (or minimum) values of meteorological elements. Q J R Meteorol Soc 81:58–171

    Article  Google Scholar 

  • Landwehr N, Hall M, Frank E (2005) Logistic model trees. Mach Learn 59:161–205

    Article  Google Scholar 

  • Liu G, Craig JR, Soulis ED (2011) Applicability of the green-ampt infiltration model with shallow, boundary conditions. J Hydrol Eng 16:266. doi:10.1061/(ASCE)HE.1943-5584.0000308

    Article  Google Scholar 

  • Mattia C, Bischetti G, Gentile F (2005) Biotechnical characteristics of root systems of typical Mediterranean species. Plant Soil Springer 278:23–32

    Article  Google Scholar 

  • Mark RK, Ellen SD (1995) Statistical and simulation models for mapping debris-flow hazard. In: Carrara A, Guzzetti F (eds) Geographical information systems in assessing natural hazards. Kluwer Pub, Dordrecht, The Netherlands, pp 93–106

    Chapter  Google Scholar 

  • Medina V, Hürlimann M, Bateman A (2008) Application of FLATModel, a 2D finite volume code, to debris flows in the northeastern part of the Iberian Peninsula. Landslides 5:127–142

    Article  Google Scholar 

  • Montgomery DR, Foufoula-Georgiou E (1993) Channel network source representation using digital elevation models. Water Resour Res 29:3925–3934

    Article  Google Scholar 

  • Montgomery DR, Dietrich WE (1994) A physically-based model for the topographic control on shallow landsliding. Water Resour Res 30(4):1153–1171. doi:10.1029/93WR02979

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Pack R, Tarboton D, Goodwin C (1998) The SINMAP approach to terrain stability mapping. Procedeengs of the 8th congress of the international association of engineering geology, Vancouver, British Columbia, Canada, pp 21–25

  • Papa MN, Trentini G (2010) Valutazione della pericolosità connessa a fenomeni di correnti detritiche. Proceedings of the XXXII Convegno Nazionale di Idraulica e Costruzioni Idrauliche, Palermo, 14-17 settembre 2010 (in Italian)

  • Papa MN, Medina V, Ciervo F, Bateman A (2012) Derivation of critical rainfall thresholds for shallow landslides as a tool for debris flow early warning systems. Hydrol Earth Syst Sci 17:4095–4107

    Article  Google Scholar 

  • Portilla M, Chevalier G, Hürlimann M (2010) Description and analysis of the debris flows occurred during 2008 in the Eastern Pyrenees. Nat Hazards Earth Syst Sci 10:1635–1645. doi:10.5194/nhess-10-1635-2010

  • Rickenmann D (2005) Runout prediction methods. In: Jakob M, Hungr O (eds) Debris-flow hazards and related phenomena. Springer, Berlin Heidelberg, pp 305–324

    Chapter  Google Scholar 

  • Schmidt K, Roering J, Stock J, Dietrich W, Montgomery D, Schaub T (2001) The variability of root cohesion as an influence on shallow landslide susceptibility in the Oregon Coast Range. Can Geotech J 38:995–1024, NRC Research Press

    Article  Google Scholar 

  • Sidle R (1992) A theoretical model of the effects of timber harvesting on slope stability. Water Resour Res, Am Geophys Union 28:1897–1910

    Article  Google Scholar 

  • Skempton AW, DeLory FA (1957) Stability of natural slopes in London clay. Proc Int Conf Soil Mech Found Eng 4(2):378–381

    Google Scholar 

  • Tarolli P, Tarboton DG (2006) A new method for determination of most likely landslide initiation points and the evaluation of digital terrain model scale in terrain stability mapping. Hydrol Earth Syst Sci 10:663–677

    Article  Google Scholar 

  • Témez J (1978) Cálculo hidrometeorológico de caudales máximos en pequeñas cuencas naturales. MOPU, Madrid

    Google Scholar 

  • Vanacker V, Vanderschaeghe M, Govers G, Willems E, Poesen J, Deckers J, Bievre BD (2003) Linking hydrological, infinite slope stability and land-use change models through GIS for assessing the impact of deforestation on slope stability in high Andean watersheds. Geomorphology 52:299–315

    Article  Google Scholar 

  • Wenzel HG (1982) Rainfall for urban stormwater design. In: Kilber DF (ed) Urban storm water hydrology, water resource monograph 7. American Geophysical Union, Washington D.C., p 459

    Google Scholar 

  • Wieczorek G, Glade T (2005) Climatic factors influencing occurrence of debris flows. In: Jakob M, Hungr O (eds) Debris-flow hazards and related phenomena. Springer, Berlin Heidelberg, pp 325–362

    Chapter  Google Scholar 

  • Witten IH, Frank E, Hall MA (2011) Data mining: Practical machine learning tools and techniques, 3rd edn. Morgan Kaufmann, Burlington

    Google Scholar 

  • Wu W, Sidle R (1995) A distributed slope stability model for steep forested basins. Water Resour Res Am Geophys Union 31:2097–2110

    Article  Google Scholar 

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Acknowledgments

The study was financially supported by European Community, through the project IMPRINTS (agreement: FP7-ENV-2008-1-226555) and the projects “DEBRIS FLOW” and “DEBRISTART” (Agreement CGL 2009-13039 and CGL2011-23300) of the Spanish Ministry of Education. The authors want to acknowledge the collaboration of Maria Nicolina Papa and Fabio Ciervo from Universitá degli Studi di Salerno (Italy).

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Authors and Affiliations

  1. Sediment Transport Research Group (GITS), Department of Hydraulic, Marine, and Environmental Engineering, Universitat Politècnica de Catalunya - BarcelonaTech (UPC), Barcelona, Spain

    Francesco Bregoli, Vicente Medina, Guillaume Chevalier & Allen Bateman

  2. Department of Geotechnical Engineering and Geosciences, Universitat Politècnica de Catalunya - BarcelonaTech (UPC), Barcelona, Spain

    Guillaume Chevalier & Marcel Hürlimann

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  1. Francesco Bregoli
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  2. Vicente Medina
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  3. Guillaume Chevalier
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  4. Marcel Hürlimann
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  5. Allen Bateman
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Correspondence to Francesco Bregoli.

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Bregoli, F., Medina, V., Chevalier, G. et al. Debris-flow susceptibility assessment at regional scale: Validation on an alpine environment. Landslides 12, 437–454 (2015). https://doi.org/10.1007/s10346-014-0493-x

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