Application of the revised universal soil loss equation model on landslide prevention. An example from N. Euboea (Evia) Island, Greece

This study aims to evaluate the application of the Revised Universal Soil Loss Equation (RUSLE) on predicting of sites susceptible to slope failures caused by the soil erosion. It was carried out at the northern part of Euboea Island presenting one of the highest frequencies of landslide occurrence in Greece. All required datasets for the application of the RUSLE model were engaged to compile a potential soil erosion map of the study area. In addition, historical slope failure data were used to evaluate the produced map. Moreover, the frequency ratio statistical analysis was applied for the verification of the soil erosion map. The results showed a satisfactory agreement between the soil erosion intensity zones and distribution of landslides events. Therefore, the RUSLE model can be applied for the localization of sites susceptible to landslides that were prepared or triggered by the soil erosion. Finally, taking under consideration the contribution of erosion mechanisms over the landslides manifestation, a combination of measures were proposed for preventing and supporting these catastrophic phenomena.

[1]  Filippos Vallianatos,et al.  Landslide hazard zonation in high risk areas of Rethymno Prefecture, Crete Island, Greece , 2010 .

[2]  M. Todorović,et al.  Spatial modelling of soil erosion potential in a mountainous watershed of South-eastern Serbia , 2012, Environmental Earth Sciences.

[3]  Giuseppe Mendicino,et al.  Sensitivity Analysis on GIS Procedures for the Estimate of Soil Erosion Risk , 1999 .

[4]  Bo Du,et al.  Regional soil erosion risk mapping using RUSLE, GIS, and remote sensing: a case study in Miyun Watershed, North China , 2011 .

[5]  S. Jain,et al.  Estimation of Soil Erosion for a Himalayan Watershed Using GIS Technique , 2001 .

[6]  Z. Shia,et al.  Soil conservation planning at the small watershed level using RUSLE with GIS : a case study in the Three Gorge Area of China , 2003 .

[7]  B. Pradhan,et al.  Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models , 2010 .

[8]  Mapas de susceptibilidad de deslizamientos basados en GIS aplicados a la planificación natural y urbanística en Trikala, Grecia Central , 2009 .

[9]  M. Conforti,et al.  Geomorphology and GIS analysis for mapping gully erosion susceptibility in the Turbolo stream catchment (Northern Calabria, Italy) , 2011 .

[10]  Kyriaki Papadopoulou-Vrynioti,et al.  Karst collapse susceptibility mapping considering peak ground acceleration in a rapidly growing urban area , 2013 .

[11]  M. Popescu.  A suggested method for reporting landslide causes , 1994 .

[12]  29. A preliminary landslide hazard zonation of the Undercliff of the Isleof Wight , 1991 .

[13]  Kalliopi Gaki-Papanastassiou,et al.  Potential suitability for urban planning and industry development using natural hazard maps and geological–geomorphological parameters , 2012, Environmental Earth Sciences.

[14]  Wei Dong Wang,et al.  Road landslide information management and forecasting system base on GIS , 2009, Environmental monitoring and assessment.

[15]  Georgios Aim. Skianis,et al.  Assessment of rural community and agricultural development using geomorphological–geological factors and GIS in the Trikala prefecture (Central Greece) , 2013, Stochastic Environmental Research and Risk Assessment.

[16]  G. R. Foster,et al.  Predicting soil erosion by water : a guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE) , 1997 .

[17]  P. Atkinson,et al.  Generalised linear modelling of susceptibility to landsliding in the Central Apennines, Italy , 1998 .

[18]  P. Aleotti,et al.  Landslide hazard assessment: summary review and new perspectives , 1999 .

[19]  S. D. Angima,et al.  Soil erosion prediction using RUSLE for central Kenyan highland conditions , 2003 .

[20]  E. Mark Lee,et al.  Landslide Risk Assessment , 2023 .

[21]  Francesco Sdao,et al.  The role of rainfall in the landslide hazard: the case of the Avigliano urban area (Southern Apennines, Italy) , 1999 .

[22]  H. R. Payne,et al.  22. Development of a methodology for landslip potential mapping in the Rhondda Valley , 1991 .

[23]  B. Pradhan,et al.  Probabilistic landslide hazards and risk mapping on Penang Island, Malaysia , 2006 .

[24]  Georgios N. Silleos,et al.  Quantification and site-specification of the support practice factor when mapping soil erosion risk associated with olive plantations in the Mediterranean island of Crete , 2009, Environmental monitoring and assessment.

[25]  J. Adinarayana,et al.  Soil erosion assessment and its correlation with landslide events using remote sensing data and GIS: a case study at Penang Island, Malaysia , 2011, Environmental Monitoring and Assessment.

[26]  A. Pandey,et al.  Soil erosion modeling of a Himalayan watershed using RS and GIS , 2009 .

[27]  Francesco Sdao,et al.  Mass movements affecting Goddess Mefitis sanctuary in Rossano di Vaglio (Basilicata, southern Italy) , 2007 .

[28]  Chicgoua Noubactep,et al.  A multi-method approach to study the stability of natural slopes and landslide susceptibility mapping , 2006 .

[29]  N. Harmancioglu,et al.  Integration of GIS with USLE in Assessment of Soil Erosion , 2002 .

[30]  International Union of Geological Sciences Working Group on Landslides.  A suggested method for describing the rate of movement of a landslide , 1995 .

[31]  L. H. Cammeraat,et al.  The effect of land use on runoff and soil erosion rates under Mediterranean conditions , 1997 .

[32]  D. Rozos,et al.  Comparison of the implementation of rock engineering system and analytic hierarchy process methods, upon landslide susceptibility mapping, using GIS: a case study from the Eastern Achaia County of Peloponnesus, Greece , 2011 .

[33]  Fausto Guzzetti,et al.  Geographical Information Systems in Assessing Natural Hazards , 2010 .

[34]  W. H. Wischmeier,et al.  Rainfall energy and its relationship to soil loss , 1958 .

[35]  D. Kalivas,et al.  Mapas de susceptibilidad de deslizamientos basados en GIS aplicados a la planificación natural y urbanística en Trikala, Grecia Central , 2009 .

[36]  Saro Lee,et al.  Soil erosion assessment and its verification using the Universal Soil Loss Equation and Geographic Information System: a case study at Boun, Korea , 2004 .

[37]  P. Finlay,et al.  Estimating the Probability of Landsliding , 1996 .

[38]  N. Sabatakakis,et al.  Landslide Hazard Zonation in Greece , 2005 .

[39]  V. Prasannakumar,et al.  Spatial prediction of soil erosion risk by remote sensing, GIS and RUSLE approach: a case study of Siruvani river watershed in Attapady valley, Kerala, India , 2011 .

[40]  H. Skilodimou,et al.  Investigating the flooding events of the urban regions of glyfada and voula, attica, greece: a contribution to urban geomorphology , 2003 .

[41]  Theo van Asch,et al.  Deterministic Modelling in Gis-Based Landslide Hazard Assessment , 1995 .

[42]  S. Incerti,et al.  Geant4 developments and applications , 2006, IEEE Transactions on Nuclear Science.

[43]  J. Poesen,et al.  The European Soil Erosion Model (EUROSEM): A dynamic approach for predicting sediment transport from fields and small catchments. , 1998 .

[44]  C. J. Westen,et al.  Qualitative landslide susceptibility assessment by multicriteria analysis: A case study from San Antonio del Sur, Guantánamo, Cuba , 2008 .

[45]  E. Gartzos.  Carbon and oxygen isotope constraints on the origin of magnesite deposits, north Evia (Greece) , 1990 .

[46]  H. Dregne.  Land Degradation in the Drylands , 2002 .

[47]  L. Ayalew,et al.  The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan , 2005 .

[48]  Chongfa Cai,et al.  Soil conservation planning at the small watershed level using RUSLE with GIS: a case study in the Three Gorge Area of China , 2004 .

[49]  Gerard Govers,et al.  A GIS procedure for automatically calculating the USLE LS factor on topographically complex landscape units , 1996 .

[50]  Pierre Y. Julien,et al.  Erosion and Sedimentation: Physical properties and dimensional analysis , 1995 .

[51]  H. D. Skilodimou,et al.  Mapping Urban Water Demands Using Multi-Criteria Analysis and GIS , 2012, Water Resources Management.

[52]  M. Bossard,et al.  CORINE land cover technical guide - Addendum 2000 , 2000 .

[53]  Theodosios Kritikos,et al.  GIS-based Multi-Criteria Decision Analysis for landslide susceptibility mapping at northern Evia, Greece [GIS-basierte multikriterielle Entscheidungsanalysen zur Kartierung von Massenverlagerungspotenzialen im nördlichen Evia, Griechenland.] , 2011 .

[54]  José A. Martínez-Casasnovas,et al.  A spatial information technology approach for the mapping and quantification of gully erosion , 2003 .

[55]  G. Mathias Kondolf.  A cross section of stream channel restoration , 1996 .

[56]  Mario Aristide Lenzi,et al.  Stream bed stabilization using boulder check dams that mimic step-pool morphology features in Northern Italy , 2002 .

[57]  Loredana Antronico,et al.  Soil erosion risk scenarios in the Mediterranean environment using RUSLE and GIS: An application model for Calabria (southern Italy) , 2009 .

[58]  D. Robinson,et al.  Soil Erosion and Conservation , 1988 .

[59]  Carlos Rogério de Mello,et al.  Soil erosion prediction in the Grande River Basin, Brazil using distributed modeling , 2009 .