Assessing the Accuracy of GIS-Based Analytical Hierarchy Process for Watershed Prioritization; Gorganrood River Basin, Iran

Watershed prioritization based on the natural and anthropogenic factors involves by locating the critical areas of flood hazard, which cause socio-economic and environmental consequences to take up mitigation activities on priority basis. The pair-wise comparisons of natural and anthropogenic factors is a bit problematic, because these two mentioned factors are different from typology view point. In order to assess flood hazard potential by using (1) only natural factors (FHPNF), (2) only anthropogenic factors (FHPAF), and (3) ensemble the obtained sub-watersheds priorities from natural and anthropogenic factors , the coupling of the Analytical Hierarchy Process (AHP) and Geographical Information Systems (GIS) were applied the Gorganrood river basin of Iran. Each effective factor was assigned to appropriate weight based on Saaty’s 9 point scale and the obtained weights were normalized through the Eigenvector method. By using the Weighted Linear Combination (WLC), two flood hazard potential indexes were defined separately for anthropogenic and natural factors. Finally, both indices values were combined to determine sub-watersheds priority. For the validation of the predictions, the Receiver Operating Characteristic (ROC) curve and historical data of flash flood events were used. According to the results of ROC curves, the FHPNF and FHPAF maps showed a reasonable good performance in watershed prioritization with area under ROC curve (AUC) values of 76.1 and 79.5 %, respectively. In addition, these results imply that one and two sub-watersheds fall under very high and high priority, respectively. The results of this study act as guidelines for managers and planners to determine sub-watersheds priority and rational management of watersheds based on both natural and anthropogenic components.

[1]  D. Gray,et al.  Interrelationships of watershed characteristics , 1961 .

[2]  Thomas L. Saaty,et al.  Multicriteria Decision Making: The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation , 1990 .

[3]  Jeffrey G. Arnold,et al.  Simulator for Water Resources in Rural Basins , 1985 .

[4]  P. E. O'connell,et al.  An introduction to the European Hydrological System — Systeme Hydrologique Europeen, “SHE”, 1: History and philosophy of a physically-based, distributed modelling system , 1986 .

[5]  J. L. Kittle,et al.  Hydrological simulation program: Fortran. User's manual for release 10 , 1993 .

[6]  G. Mitchell,et al.  Catchment Characterization as a Tool for Upland Water Quality Management , 1995 .

[7]  Okke Batelaan,et al.  A distributed model for water and energy transfer between soil, plants and atmosphere (WetSpa) , 1996 .

[8]  John R. Williams,et al.  LARGE AREA HYDROLOGIC MODELING AND ASSESSMENT PART I: MODEL DEVELOPMENT 1 , 1998 .

[9]  C S Agarwal,et al.  Study of drainage pattern through aerial data in Naugarh area of Varanasi district, U.P. , 1998 .

[10]  V. R. Desai,et al.  Prioritisation of subwatersheds based on morphometric analysis of drainage basin: a remote sensing and gis approach , 1999 .

[11]  F. De Smedt,et al.  Hydrologic modelling on a catchment scale using GIS and remote sensed land use information , 2000 .

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

[13]  Ru-Yih Wang,et al.  Analyzing Hazard Potential of Typhoon Damage by Applying Grey Analytic Hierarchy Process , 2004 .

[14]  M. J. Booij,et al.  Impact of climate change on river flooding assessed with different spatial model resolutions , 2005 .

[15]  Jacek Malczewski,et al.  GIS‐based multicriteria decision analysis: a survey of the literature , 2006, Int. J. Geogr. Inf. Sci..

[16]  A. Bahremand,et al.  WetSpa Model Application for Assessing Reforestation Impacts on Floods in Margecany–Hornad Watershed, Slovakia , 2007 .

[17]  Rajiv Sinha,et al.  Flood risk analysis in the Kosi river basin, north Bihar using multi-parametric approach of Analytical Hierarchy Process (AHP) , 2008 .

[18]  Babak Omidvar,et al.  Using value engineering to optimize flood forecasting and flood warning systems: Golestan and Golabdare watersheds in Iran as case studies , 2008 .

[19]  B. Saghafian,et al.  Flood Intensification due to Changes in Land Use , 2008 .

[20]  Dagmar Haase,et al.  A multicriteria approach for flood risk mapping exemplified at the Mulde river, Germany , 2009 .

[21]  F. De Smedt,et al.  Hydrological Modeling of Snow Accumulation and Melting on River Basin Scale , 2009 .

[22]  Nicola Walsh,et al.  An example of the effects of anthropogenic changes on natural environment in the Apulian karst (southern Italy) , 2009 .

[23]  Attilio Castellarin,et al.  Probability-weighted hazard maps for comparing different flood risk management strategies: a case study , 2009 .

[24]  Ali Ardalan,et al.  Evaluation of Golestan Province’s Early Warning System for flash floods, Iran, 2006–7 , 2009, International journal of biometeorology.

[25]  D. Fernández,et al.  Urban flood hazard zoning in Tucumán Province, Argentina, using GIS and multicriteria decision analysis , 2010 .

[26]  Ronny Berndtsson,et al.  Multi-criteria Decision Analysis (MCDA) for Integrated Water Resources Management (IWRM) in the Lake Poopo Basin, Bolivia , 2010 .

[27]  M. Jain,et al.  Estimation of Sediment Yield and Areas of Soil Erosion and Deposition for Watershed Prioritization using GIS and Remote Sensing , 2010 .

[28]  F. De Smedt,et al.  Prediction of snowmelt floods with a distributed hydrological model using a physical snow mass and energy balance approach , 2010 .

[29]  A. R. Mahmud,et al.  An artificial neural network model for flood simulation using GIS: Johor River Basin, Malaysia , 2012, Environmental Earth Sciences.

[30]  F. Sharifi,et al.  Causes and consequences of recent floods in the Golestan catchments and Caspian Sea regions of Iran , 2012, Natural Hazards.

[31]  G. Zeng,et al.  A GIS-Based Spatial Multi-Criteria Approach for Flood Risk Assessment in the Dongting Lake Region, Hunan, Central China , 2011 .

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

[33]  Mateeul Haq,et al.  Techniques of Remote Sensing and GIS for flood monitoring and damage assessment: A case study of Sindh province, Pakistan , 2012 .

[34]  Chao Zhou,et al.  Comprehensive flood risk assessment based on set pair analysis-variable fuzzy sets model and fuzzy AHP , 2013, Stochastic Environmental Research and Risk Assessment.

[35]  Imtiaz Ahmed Chandio,et al.  GIS-based analytic hierarchy process as a multicriteria decision analysis instrument: a review , 2013, Arabian Journal of Geosciences.

[36]  John H. Lowry,et al.  Flood hazard modelling and risk assessment in the Nadi River Basin, Fiji, using GIS and MCDA , 2012 .

[37]  Abdul Halim Ghazali,et al.  Identification of homogenous regions in Gorganrood basin (Iran) for the purpose of regionalization , 2012, Natural Hazards.

[38]  Biswajeet Pradhan,et al.  Landslide susceptibility mapping at Hoa Binh province (Vietnam) using an adaptive neuro-fuzzy inference system and GIS , 2012, Comput. Geosci..

[39]  Li-jiao Yan,et al.  The Control of Land-Use Patterns for Stormwater Management at Multiple Spatial Scales , 2013, Environmental Management.

[40]  Huiming Wang,et al.  Impact assessment of urbanization on flood risk in the Yangtze River Delta , 2013, Stochastic Environmental Research and Risk Assessment.

[41]  Ruifeng Zhao,et al.  Responses of Surface Runoff to Climate Change and Human Activities in the Arid Region of Central Asia: A Case Study in the Tarim River Basin, China , 2013, Environmental Management.

[42]  Mustafa Neamah Jebur,et al.  Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS , 2013 .

[43]  Yiping Wu,et al.  Analyzing the Water Budget and Hydrological Characteristics and Responses to Land Use in a Monsoonal Climate River Basin in South China , 2013, Environmental Management.

[44]  Bernhard Schober,et al.  A novel assessment of the role of Danube floodplains in flood hazard reduction (FEM method) , 2015, Natural Hazards.

[45]  S. Stefanidis,et al.  Assessment of flood hazard based on natural and anthropogenic factors using analytic hierarchy process (AHP) , 2013, Natural Hazards.

[46]  Vinay Kumar Dadhwal,et al.  Multi-Criteria Decision Making Approach for Watershed Prioritization Using Analytic Hierarchy Process Technique and GIS , 2013, Water Resources Management.

[47]  Gabriel Minea,et al.  Assessment of the flash flood potential of Bâsca River Catchment (Romania) based on physiographic factors , 2013 .

[48]  Prashant K. Srivastava,et al.  Flood Hazards Mitigation Analysis Using Remote Sensing and GIS: Correspondence with Town Planning Scheme , 2013, Water Resources Management.

[49]  R. K. Jaiswal,et al.  Watershed Prioritization Using Saaty’s AHP Based Decision Support for Soil Conservation Measures , 2013, Water Resources Management.

[50]  Young Do Kim,et al.  A sensitivity analysis approach of multi-attribute decision making technique to rank flood mitigation projects , 2013 .

[51]  Remote Sensing and GIS Approach for Hazard Vulnerability Assessment of Upper Alaknanda Basin, Garhwal Himalaya (Uttarakhand), India , 2014 .

[52]  Ruisong Quan.  Risk assessment of flood disaster in Shanghai based on spatial–temporal characteristics analysis from 251 to 2000 , 2014, Environmental Earth Sciences.

[53]  Mustafa Neamah Jebur,et al.  Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS , 2014 .

[54]  H. Pourghasemi,et al.  Groundwater potential mapping at Kurdistan region of Iran using analytic hierarchy process and GIS , 2015, Arabian Journal of Geosciences.

[55]  H. Pourghasemi,et al.  GIS-based frequency ratio and index of entropy models for landslide susceptibility assessment in the Caspian forest, northern Iran , 2014, International Journal of Environmental Science and Technology.

[56]  J. Lázaro,et al.  Sensitivity analysis of main variables present in flash flood processes. Application in two Spanish catchments: Arás and Aguilón , 2014 .

[57]  L. Vasiliades,et al.  Multi-Criteria Analysis Framework for Potential Flood Prone Areas Mapping , 2014, Water Resources Management.

[58]  Mustafa Neamah Jebur,et al.  Flood susceptibility mapping using integrated bivariate and multivariate statistical models , 2014, Environmental Earth Sciences.

[59]  Min Fan,et al.  Spatial and Temporal Analysis of Hydrological Provision Ecosystem Services for Watershed Conservation Planning of Water Resources , 2014, Water Resources Management.

[60]  Hamid Reza Pourghasemi,et al.  Application of analytical hierarchy process, frequency ratio, and certainty factor models for groundwater potential mapping using GIS , 2015, Earth Science Informatics.

[61]  Seyed Amir Naghibi,et al.  A Comparative Assessment Between Three Machine Learning Models and Their Performance Comparison by Bivariate and Multivariate Statistical Methods in Groundwater Potential Mapping , 2015, Water Resources Management.

[62]  Mustafa Neamah Jebur,et al.  Flood susceptibility analysis and its verification using a novel ensemble support vector machine and frequency ratio method , 2015, Stochastic Environmental Research and Risk Assessment.

[63]  Hamid Reza Pourghasemi,et al.  Assessment of a data-driven evidential belief function model and GIS for groundwater potential mapping in the Koohrang Watershed, Iran , 2015 .

[64]  Mahyat Shafapour Tehrany,et al.  Flood susceptibility assessment using GIS-based support vector machine model with different kernel types , 2015 .

[65]  Omid Rahmati,et al.  Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis , 2016 .

[66]  H. Pourghasemi,et al.  Flood susceptibility mapping using frequency ratio and weights-of-evidence models in the Golastan Province, Iran , 2016 .