Modeling of potential gully erosion hazard using geo-spatial technology at Garbheta block, West Bengal in India

AbstractThe gully erosion is the most serious environmental problem in West Bengal in India. Present study focused on delineation the gully affected areas and characterization of geo-environmental factor in the gully affected region to prevent future problems. Ground investigation and geo-spatial data along with bivariate statistical approach were employed to identity the most crucial factors among lithology, dynamic and slope inclination, landuse, aspect, plan curvature, stream power index, topographical wetness index and length-slope factor and also understand the most dominant class of each factor associated the gully erosion in the area under study. All the information were integrated into geographical information system platform and categorized in zones of very high, high, moderate, and low gully erosion susceptibility. Weight index overlay method is used to validate the gully proneness map. Results showed land use factor (barren land and waste land), slope (>20°), topographical wetness index values (>1.2), length-slope index (>4.00), fragments of pebbles, boulder and gravels, older alluvium and lateritic soil play important roles in gully processes. Model validation indicated that the resulting map of areas prone to gully erosion has a prediction accuracy of 88.25 %. The methodology adopted for gully erosion proneness mapping can be exercised in other gully vulnerability areas that could be an excellent approach to defend the natural resources and progress in the land use conservation.

[1]  Pierre Marchand,et al.  Dynamic modelling for linear erosion initiation and development under climate and land-use changes in northern Laos , 2005 .

[2]  A. E. Baroudy,et al.  Combined use of remote sensing and GIS for degradation risk assessment in some soils of the Northern Nile Delta, Egypt , 2014 .

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

[4]  John P. Wilson,et al.  Terrain analysis : principles and applications , 2000 .

[5]  Geert Sterk,et al.  Erosion risk mapping : a methodological case study in the Colombian Eastern Plains , 2002 .

[6]  Netra R. Regmi,et al.  Modeling susceptibility to landslides using the weight of evidence approach: Western Colorado, USA , 2010 .

[7]  H. A. Nefeslioglu,et al.  Landslide susceptibility mapping for a part of tectonic Kelkit Valley (Eastern Black Sea region of Turkey) , 2008 .

[8]  Kate Rowntree,et al.  Topographic thresholds in gully development on the hillslopes of communal areas in Ngqushwa Local Municipality, Eastern Cape, South Africa , 2009 .

[9]  D. Roberts,et al.  A comparison of methods for monitoring multitemporal vegetation change using Thematic Mapper imagery , 2002 .

[10]  I. Moore,et al.  Physical basis of the length-slope factor in the universal soil loss equation , 1986 .

[11]  J. L. Le Roux,et al.  Factors controlling gully development: Comparing continuous and discontinuous gullies , 2012 .

[12]  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 .

[13]  A. Yalçın GIS-based landslide susceptibility mapping using analytical hierarchy process and bivariate statistics in Ardesen (Turkey): Comparisons of results and confirmations , 2008 .

[14]  S. Schnabel,et al.  Gully erosion, land use and topographical thresholds during the last 60 years in a small rangeland catchment in SW Spain , 2009 .

[15]  S. Ghosh,et al.  Some regional indicators of the Tertiary–Quaternary geodynamics in the paleocoastal part of the Bengal basin (India) , 2009 .

[16]  Über Den Böschungswinkel Von Schutthalden , 1975 .

[17]  Ángel M. Felicísimo,et al.  Modelling the occurrence of gullies in rangelands of southwest Spain , 2009 .

[18]  Mark A. Nearing,et al.  Slope Shape Effects on Erosion , 2005 .

[19]  Recep Gundogan,et al.  Application of GeoWEPP for Determining Sediment Yield and Runoff in the Orcan Creek Watershed in Kahramanmaras, Turkey † , 2008, Sensors.

[20]  Debasree Sinha,et al.  Application of Universal Soil Loss Equation (USLE) to recently reclaimed badlands along the Adula and Mahalungi Rivers, Pravara Basin, Maharashtra , 2012, Journal of the Geological Society of India.

[21]  K. Yin,et al.  Statistical prediction model for slope instability of metamorphosed rocks , 1988 .

[22]  G. Barbieri,et al.  The weight of evidence statistical method in landslide susceptibility mapping of the Rio Pardu Valley (Sardinia, Italy) , 2009 .

[23]  Alberto González,et al.  Validation of Landslide Susceptibility Maps; Examples and Applications from a Case Study in Northern Spain , 2003 .

[24]  P. Shit,et al.  Morphology and Development of selected Badlands in South Bengal (India) , 2014 .

[25]  C. J. van Westen,et al.  Application of geographic information systems to landslide hazard zonation , 1993 .

[26]  J. Boardman,et al.  Development of badlands and gullies in the Sneeuberg, Great Karoo, South Africa , 2003 .

[27]  R. Morgan Soil Erosion and Conservation , 1988 .

[28]  J. Poesen,et al.  Gully erosion: Impacts, factors and control , 2005 .

[29]  Amon Murwira,et al.  Simulation of streamflow using topmodel in the upper save river catchment of zimbabwe , 2011 .

[30]  P. Shit,et al.  Rill Hydraulics - An Experimental Study on Gully Basin in Lateritic Upland of Paschim Medinipur, West Bengal, India , 2012 .

[31]  E. Rotigliano,et al.  Gully erosion susceptibility assessment by means of GIS-based logistic regression: A case of Sicily (Italy) , 2014 .

[32]  Andrea G. Fabbri,et al.  Validation of Spatial Prediction Models for Landslide Hazard Mapping , 2003 .

[33]  I. Moore,et al.  Digital terrain modelling: A review of hydrological, geomorphological, and biological applications , 1991 .

[34]  P. Shit,et al.  Assessment of Factors Affecting Ephemeral Gully Development in Badland Topography: A Case Study at Garbheta Badland (Pashchim Medinipur, , 2013 .

[35]  J. Poesen,et al.  Gully erosion and environmental change: importance and research needs , 2003 .

[36]  V. Prasannakumar,et al.  Estimation of soil erosion risk within a small mountainous sub-watershed in Kerala, India, using Revised Universal Soil Loss Equation (RUSLE) and geo-information technology , 2012 .

[37]  Irene Marzolff,et al.  Short‐term versus medium‐term monitoring for detecting gully‐erosion variability in a Mediterranean environment , 2011 .

[38]  J. Boardman,et al.  Badland and gully erosion in the Karoo, South Africa , 2008, Journal of Soil and Water Conservation.

[39]  C. F. Lee,et al.  Assessment of landslide susceptibility on the natural terrain of Lantau Island, Hong Kong , 2001 .

[40]  John P. Wilson,et al.  Use of terrain variables for mapping gully erosion susceptibility in Lebanon , 2007 .

[41]  Paul L. G. Vlek,et al.  Analysis of factors determining sediment yield variability in the highlands of northern Ethiopia , 2006 .

[42]  Jaroslav Hofierka,et al.  Modelling Topographic Potential for Erosion and Deposition Using GIS , 1996, Int. J. Geogr. Inf. Sci..

[43]  J. Poesen,et al.  Importance of slope gradient and contributing area for optimal prediction of the initiation and trajectory of ephemeral gullies , 1999 .

[44]  Pk Shit,et al.  Mechanism of Gully-Head Retreat - A Study at Ganganir Danga, Paschim Medinipur, West Bengal , 2012 .

[45]  J. Poesen Gully typology and gully control measures in the European loess belt , 1993 .

[46]  R. Nagarajan,et al.  Landslide hazard susceptibility mapping based on terrain and climatic factors for tropical monsoon regions , 2000 .

[47]  T. Topal,et al.  GIS-based landslide susceptibility mapping for a problematic segment of the natural gas pipeline, Hendek (Turkey) , 2003 .

[48]  J. Poesen,et al.  Characteristics, controlling factors and importance of deep gullies under cropland on loess-derived soils , 2005 .

[49]  Jan Nyssen,et al.  Transferring Google Earth observations to GIS-software: example from gully erosion study , 2013, Int. J. Digit. Earth.

[50]  Christian Conoscenti,et al.  Soil erosion susceptibility assessment and validation using a geostatistical multivariate approach: a test in Southern Sicily , 2008 .

[51]  M. Laker Advances in soil erosion, soil conservation, land suitability evaluation and land use planning research in South Africa, 1978–2003 , 2004 .

[52]  P. Shit,et al.  Morphometric Analysis of Kangshabati-Darkeswar Interfluves Area in West Bengal, India using ASTER DEM and GIS Techniques , 2013 .

[53]  A. Collison The cycle of instability: stress release and fissure flow as controls on gully head retreat , 2001 .

[54]  A. Murwira,et al.  Potential of weight of evidence modelling for gully erosion hazard assessment in Mbire District – Zimbabwe , 2014 .

[55]  J. Poesen,et al.  Gully erosion in dryland environments , 2002 .