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Forecasting flood-prone areas using Shannon’s entropy model
Authors:Ali Haghizadeh  Safoura Siahkamari  Amir Hamzeh Haghiabi  Omid Rahmati
Institution:1.Department of Watershed Management Engineering, Faculty of Agriculture,Lorestan University,Lorestan,Iran;2.Department of Water Engineering, Faculty of Agriculture,Lorestan University,Lorestan,Iran
Abstract:With regard to the lack of quality information and data in watersheds, it is of high importance to present a new method for evaluating flood potential. Shannon’s entropy model is a new model in evaluating dangers and it has not yet been used to evaluate flood potential. Therefore, being a new model in determining flood potential, it requires evaluation and investigation in different regions and this study is going to deal with this issue. For to this purpose, 70 flooding areas were recognized and their distribution map was provided by ArcGIS10.2 software in the study area. Information layers of altitude, slope angle, slope aspect, plan curvature, drainage density, distance from the river, topographic wetness index (TWI), lithology, soil type, and land use were recognized as factors affecting flooding and the mentioned maps were provided and digitized by GIS environment. Then, flood susceptibility forecasting map was provided and model accuracy evaluation was conducted using ROC curve and 30% flooding areas express good precision of the model (73.5%) for the study area.
Keywords:
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