GIS-based MCDA for Gully Vulnerability Mapping Using AHP Techniques

This paper explores the potentiality of GIS-based Multi-Criteria Decision Analysis (MCDA) and Analytical Hierarchy Process (AHP) for gully vulnerability mapping. Multilayer information of basin characteristics, such as drainage density, Topographic Wetness Index (TWI), Stream Power Index (SPI), slope aspect and land use land cover (LULC), were used in this study to develop a Gully Vulnerability Index (GVI). A weighted approach was implemented on each criterion relative to their inferred influence on gully vulnerability and validated by determining the Consistency Ratio (CR). Findings show a varying magnitude of gully vulnerability across the study area. The low to medium gully vulnerability class was dominant covering a land area of 6557ha (21.25%), and mostly confined to developed areas. Still, it is noteworthy to observe that the severe gully vulnerability class covers a substantial land area of 5825ha (18.88%), which presents a great risk to infrastructural development and human settlements in the study area. The study has a model predictive capability with accuracy rate of 84.62%. The integration of the MCDA and AHP into GIS workflow is an effective approach critical to minimize the limitations associated with gully occurrence analysis, using a singular basin characteristic. The results obtained in the study will equally be important in determining gully risk zones, circumspect urban development, tracking and proper infrastructure construction plans for long-term gully disaster mitigation. Article history Received: 27 August 2020 Revised: 12 October 2020 Accepted: 13 October 2020

[2]  R. Schulin,et al.  Soil aggregate stability and size-selective sediment transport with surface runoff as affected by organic residue amendment. , 2017, The Science of the total environment.

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

[4]  Paul G. Risser,et al.  The Human Impact on the Natural Environment , 2018 .

[5]  Aleksandar Valjarevi,et al.  GIS analysis of dissipation time of landscape in th e Devil's city (Serbia) , 2015 .

[6]  S. Kapat,et al.  Rill and gully erosion risk of lateritic terrain in south-western Birbhum District, West Bengal, India / Risco a erosão em ravinas e voçorocas nos terrenos lateríticos de South-Western Birbhum District, West Bengal, India , 2009 .

[7]  Qingzhu Gao,et al.  Optimization of land use structure and spatial pattern for the semi-arid loess hilly-gully region in China , 2010 .

[8]  Shuwen Zhang,et al.  Integrated Use of GCM, RS, and GIS for the Assessment of Hillslope and Gully Erosion in the Mushi River Sub-Catchment, Northeast China , 2016 .

[9]  O. Essien,et al.  Rainfall characteristics, runoff rate and traffic flow on gully morphometric parameter growth and soil loss in sand-mined peri-urban, Uyo, Nigeria , 2011 .

[10]  L. Caracciolo.  Sediment generation and sediment routing systems from a quantitative provenance analysis perspective: Review, application and future development , 2020 .

[11]  P. Gholamiderami,et al.  The effect of mulch on properties of erosion sensitive soil using a wind tunnel , 2020 .

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

[13]  W. H. Wischmeier,et al.  Predicting rainfall erosion losses : a guide to conservation planning , 1978 .

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

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

[16]  B. Pradhan,et al.  A comparative assessment of prediction capabilities of Dempster–Shafer and Weights-of-evidence models in landslide susceptibility mapping using GIS , 2013 .

[17]  J. Poesen,et al.  Predicting runoff and sediment connectivity and soil erosion by water for different land use scenarios in the Spanish Pre-Pyrenees , 2013 .

[18]  F. Bulut,et al.  Landslide susceptibility mapping using GIS and digital photogrammetric techniques: a case study from Ardesen (NE-Turkey) , 2007 .

[19]  I. A. Jaiyeoba,et al.  An Assessment of Soil Degradation in Zaria Area, Kaduna State, Nigeria , 2016 .

[20]  Wan Yang-lin.  Spatial Pattern of Soil Water and its Influencing Factors in a Gully Catchment of the Loess Plateau , 2005 .

[21]  Małgorzata Raduła,et al.  Topographic wetness index explains soil moisture better than bioindication with Ellenberg’s indicator values , 2018 .

[22]  Riheb Hadji,et al.  Using GIS and RS for Slope Movement Susceptibility Mapping: Comparing AHP, LI and LR Methods for the Oued Mellah Basin, NE Algeria , 2017 .

[23]  S. Araki.  Morphology and Formation of Gully Features on Mars Using Mars Reconnaissance Orbiter Context Images , 2012 .

[24]  Yongping Yuan,et al.  Measuring ephemeral gully erosion rates and topographical thresholds in an urban watershed using unmanned aerial systems and structure from motion photogrammetric techniques , 2018, Land degradation & development.

[25]  J.-P. Maleta,et al.  Instability conditions of marly hillslopes : towards landsliding or gullying ? The case of the Barcelonnette Basin , South East France , 2003 .

[26]  A. Navas,et al.  Soil erosion and sediment delivery in a mountain catchment under scenarios of land use change using a spatially distributed numerical model , 2012 .

[27]  Seyed Amir Naghibi,et al.  GIS-based Groundwater Spring Potential Mapping Using Data Mining Boosted Regression Tree and Probabilistic Frequency Ratio Models in Iran , 2017 .

[28]  John B. Lindsay,et al.  High resolution quantification of gully erosion in upland peatlands at the landscape scale , 2010 .

[29]  Alias Abdul Rahman,et al.  GIS Based hydrologic modelling for infiltration excess overland flow , 2007 .

[30]  Bahram Choubin,et al.  Spatial prediction of soil erosion susceptibility using a fuzzy analytical network process: Application of the fuzzy decision making trial and evaluation laboratory approach , 2018, Land Degradation & Development.

[31]  M. Omid,et al.  Developing a GIS-based Fuzzy AHP Model for Selecting Solar Energy Sites in Shodirwan Region in Iran , 2014 .

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

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

[34]  Albert S. Chen,et al.  The effect of inclusion of inlets in dual drainage modelling , 2018 .

[35]  Tom Rientjes,et al.  Application of satellite products and hydrological modelling for flood early warning , 2016 .

[36]  M. H. Hamza,et al.  A GIS-based soil erosion prediction using the Revised Universal Soil Loss Equation (RUSLE) (Lebna watershed, Cap Bon, Tunisia) , 2017, Natural Hazards.

[37]  Emily Campbell,et al.  Gully Rehabilitation Trusts: Fighting soil erosion through community participation in western Kenya , 2018 .

[38]  Biswajeet Pradhan,et al.  Gully erosion susceptibility mapping using GIS-based multi-criteria decision analysis techniques , 2019, CATENA.

[39]  S. Warren,et al.  Validation of the Unit Stream Power Erosion and Deposition (USPED) Model at Yakima Training Center, Washington , 2019, Northwest Science.

[40]  V. Vanacker,et al.  Low erosion rates measured for steep, sparsely vegetated catchments in southeast Spain , 2011 .

[41]  G. Mei,et al.  A protective measure for expansive soil slopes based on moisture content control , 2020 .

[42]  K. Ambalam.  Challenges of Compliance with Multilateral Environmental Agreements: the case of the United Nations Convention to Combat Desertification in Africa , 2014 .

[43]  T. Svoray,et al.  Soil loss, water ponding and sediment deposition variations as a consequence of rainfall intensity and land use: a multi‐criteria analysis , 2009 .

[44]  B. Pradhan,et al.  Spatial modelling of gully erosion using evidential belief function, logistic regression, and a new ensemble of evidential belief function–logistic regression algorithm , 2018, Land Degradation & Development.

[45]  H. Pourghasemi,et al.  Gully erosion susceptibility mapping: the role of GIS-based bivariate statistical models and their comparison , 2016, Natural Hazards.

[46]  L. Bracken,et al.  Gully processes and gully dynamics , 2009 .

[47]  Zhenming Shi,et al.  Unsaturated slope stability around the Three Gorges Reservoir under various combinations of rainfall and water level fluctuation , 2019, Engineering Geology.

[48]  T. Kavzoglu,et al.  Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression , 2014, Landslides.

[49]  J. Ritchie.  Soil Erosion and Sediment Redistribution in River Catchments: Measurement, Modelling and Management , 2007 .

[50]  Shailendra Pokharel.  CONSERVATION OF PHEWA LAKE OF POKHARA, NEPAL , 2009 .

[51]  V. Golosov,et al.  Spatio-Temporal Assessment of Gully Erosion in the Zone of Intensive Agriculture in the European Part of Russia , 2018, Geography and Natural Resources.

[52]  K. Abdullah,et al.  Application of Multi-Criteria Decision Analysis to Geoelectric and Geologic Parameters for Spatial Prediction of Groundwater Resources Potential and Aquifer Evaluation , 2013, Pure and Applied Geophysics.

[53]  H. Pourghasemi,et al.  Performance assessment of individual and ensemble data-mining techniques for gully erosion modeling. , 2017, The Science of the total environment.

[54]  Michael Märker,et al.  A GIS-based approach for gully erosion susceptibility modelling: a test in Sicily, Italy , 2013, Environmental Earth Sciences.

[55]  T. Svoray,et al.  Catchment scale analysis of the effect of topography, tillage direction and unpaved roads on ephemeral gully incision , 2009 .

[56]  H. Bork,et al.  Historical soil erosion by water in Germany: Scales and archives, chronology, research perspectives , 2010 .

[57]  R. Patil,et al.  Spatial Techniques for Soil Erosion Estimation: Remote Sensing and GIS Approach , 2018 .

[58]  Veronique Souchere,et al.  Modelling ephemeral gully erosion in small cultivated catchments , 2003 .

[59]  E. Gabet,et al.  A morphometric analysis of gullies scoured by post-fire progressively bulked debris flows in southwest Montana, USA , 2008 .

[60]  Alias Abdul-Rahman,et al.  Influence of georeference for saturated excess overland flow modelling using 3D volumetric soft geo-objects , 2011, Comput. Geosci..

[61]  H. Ramesh,et al.  Assessment of soil erosion by RUSLE model using remote sensing and GIS - A case study of Nethravathi Basin , 2016 .

[62]  Federica Lucà,et al.  Comparison of GIS-based gullying susceptibility mapping using bivariate and multivariate statistics: Northern Calabria, South Italy , 2011 .

[63]  Jeroen Langeveld,et al.  Quantifying the effect of proactive management strategies on the serviceability of gully pots and lateral sewer connections , 2017 .

[64]  J. Poesen,et al.  A review of topographic threshold conditions for gully head development in different environments , 2014 .

[65]  Marie-Paule Cani,et al.  A Review of Digital Terrain Modeling , 2019, Comput. Graph. Forum.

[66]  P. Arp,et al.  Evaluating digital terrain indices for soil wetness mapping – a Swedish case study , 2014 .

[67]  Zhou Shi,et al.  Assimilating satellite imagery and visible-near infrared spectroscopy to model and map soil loss by water erosion in Australia , 2016, Environ. Model. Softw..

[68]  H. Vijith,et al.  Modelling terrain erosion susceptibility of logged and regenerated forested region in northern Borneo through the Analytical Hierarchy Process (AHP) and GIS techniques , 2019, Geoenvironmental Disasters.

[69]  L. Sibille,et al.  Assessing the susceptibility of gap-graded soils to internal erosion: proposition of a new experimental methodology , 2016, Natural Hazards.

[70]  Ronald L. Bingner,et al.  Modeling long-term soil losses on agricultural fields due to ephemeral gully erosion , 2008, Journal of Soil and Water Conservation.

[71]  H. Pourghasemi,et al.  Gully Erosion Modeling Using GIS-Based Data Mining Techniques in Northern Iran: A Comparison Between Boosted Regression Tree and Multivariate Adaptive Regression Spline , 2018, Advances in Natural and Technological Hazards Research.

[72]  Hamid Reza Pourghasemi,et al.  Spatial modelling of gully erosion in Mazandaran Province, northern Iran , 2018 .

[73]  J. Dymond,et al.  A gully-complex model for assessing gully stabilisation strategies , 2011 .

[74]  H. Pourghasemi,et al.  GIS-based gully erosion susceptibility mapping: a comparison among three data-driven models and AHP knowledge-based technique , 2018, Environmental Earth Sciences.

[75]  T. Steenhuis,et al.  The economic cost of upland and gully erosion on subsistence agriculture for a watershed in the Ethiopian highlands , 2015 .

[76]  S. Moretti,et al.  Gully erosion modelling and landscape response in the Mbuluzi River catchment of Swaziland , 2003 .

[77]  N. Mitchell,et al.  Morphologic signatures in submarine canyons and gullies, central USA Atlantic continental margins , 2013 .

[78]  Kyle R. Douglas-Mankin,et al.  Predicting ephemeral gully location and length using topographic index models , 2013 .

[79]  Gouri Sankar Bhunia,et al.  Modeling of potential gully erosion hazard using geo-spatial technology at Garbheta block, West Bengal in India , 2015, Modeling Earth Systems and Environment.

[80]  S. Hassan,et al.  AN ASSESSMENT OF SPATIAL VARIATION OF LAND SURFACE CHARACTERISTICS OF MINNA, NIGER STATE NIGERIA FOR SUSTAINABLE URBANIZATION USING GEOSPATIAL TECHNIQUES , 2018, Geosfera Indonesia.

[81]  R. Giménez,et al.  Gully geometry: what are we measuring? , 2014 .

[82]  L. Salvati,et al.  In-between forest expansion and cropland decline: A revised USLE model for soil erosion risk under land-use change in a Mediterranean region , 2016 .

[83]  Saskia Keesstra,et al.  Modeling Sediment Yield in Semi‐Arid Pasture Micro‐Catchments, NW Iran , 2017 .

[84]  S. Monavari,et al.  Application of GIS , AHP , Fuzzy and WLC in Island Ecotourism Development ( Case study of Qeshm Island , Iran ) , 2013 .

[85]  T. Svoray,et al.  Predicting gully initiation: comparing data mining techniques, analytical hierarchy processes and the topographic threshold , 2012 .

[86]  R. Lal.  Soil Erosion by Wind and Water: Problems and Prospects , 1988 .

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