Introducing random forest methods, relative analysis and GIS in determining flood susceptibility

اسمعلی عوری, اباذر and گلشن, محمد Introducing random forest methods, relative analysis and GIS in determining flood susceptibility. In: 1st International Conference and the 4th National Conference on Conservation of Natural Resources and Environment, August 2019, Ardabil, Iran.

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Abstract

Floods are one of the most important natural disasters that annually cause huge socio-economic losses. Due to the magnitude and severity of the flood, flood control is very difficult and costly. Therefore, it is necessary to management the natural phenomenon using the necessary measures and measures. One of the most important steps in this direction is to identify high-risk areas with high susceptibility to floods. Several studies have been conducted in this field, but these studies have not yet been implemented for many watersheds. Different methods have been proposed in this regard. Considering the scientific sources the data mining method, random forest, relative analysis and geographical information systems are the most widely used methods in this field. These methods use various parameters affecting the production of runoff and flood occurrence and determine the flood conditions for different parts of the catchment area. Therefore, in this research, these methods were introduced in details, so that they can be used in different basins of the country.

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