Creating flood risk map with multi criteria decision making method using remote sensing and geographical information systems: The case of Malatya province

Floods, which are one of the most important effects of climate change, are one of the disasters that have increased in destructiveness and frequency in recent years. Anomalies in the rainfall regime, destruction of forests and rapidly increasing distorted urbanization lead to the formation of sudden floods. Geographical Information Systems (GIS) and Remote Sensing (RS) technologies play an important role in planning studies aimed at predicting and preventing disasters. In this study, it is aimed to create a flood risk map of Malatya province with a Multi-Criteria Decision Making (MCDM) model using GIS and RS technologies. In the study, based on the risk map, the risk classification of the region is divided into five districts which has very high risk, high risk, medium risk, low risk and very low risk. Areas where urbanization is intense are at a very high risk group. The effect of the flood on the population and structures has been explained by determining the regions at risk. The most affected districts are in areas where urbanization is intense, while housing and public buildings are among the most affected structures. Based on these results, recommendations for flood prevention were made to managers and planners in the study.