Abstract
Flood is a natural but inevitable phenomenon occurring over the period of time. It not only damages the life, property and resources, but also hampers the economy of a nation. In this paper, an attempt has been made to delineate flood vulnerability areas for Kulik river basin through frequency ratio model. Parameters like slope, elevation, rainfall, drainage density, land use–land cover, TWI, population density, road density and household density were endorsed for understanding flood mechanism. In general, 70 (70%) flood locations from flood inventory map were randomly selected for constructing flood vulnerability map parameters and the rest 30 (30%) flood locations were used for justifying the outcomes. Flood vulnerability zone map was classified into five zones such as very low (2.02 km2), low (2.45 km2), moderately low (2.44 km2), high vulnerable (2.26 km2) and very high vulnerable (1.21 km2) area. As the AUC value for success rate is 0.901, the constructed flood vulnerable map with FR model is very much accurate for this river basin. The outcome of this paper will help the planners and decision-makers to take some probable measure to minimize flood vulnerability in this region.
Highlights
Across the globe in every year, different kinds of natural as well as man-induced hazards and disasters like floods, earthquakes and landslides are causing a large amount of life loss and property damage (Youssef et al 2011; Du et al 2013; WHO 2003; Tehrany et al 2017)
Flood occurrence parameters like slope, elevation, drainage density, rainfall, land use–land cover (LULC) and topographical wetness index (TWI) have been calculated based on the Frequency ratio (FR) model (Table 2), and road density, population density and household frequency layers are constructed in reference to five-point rating scale (Table 3)
To substantiate the prediction of any model, area under curve (AUC) is taken into consideration as if the AUC value is 0.5 or less than that the model is inappropriate for flood vulnerability mapping and if the value is perfectly 1 this model is the most suitable for estimating flood trends and if the AOC value is > 0.75 flood predictability is
Summary
Across the globe in every year, different kinds of natural as well as man-induced hazards and disasters like floods, earthquakes and landslides are causing a large amount of life loss and property damage (Youssef et al 2011; Du et al 2013; WHO 2003; Tehrany et al 2017). Analysing satellite imageries on RS and GIS platform assigned satisfactory results for flood susceptibility and vulnerability mappings as it is providing flawless information about a region (Ali et al 2019). It creates an amazingly pleasant environment where a wide variety of models can run and manipulate information to evaluate flood vulnerability, and the results become more logical and acceptable. RS- and GIS-like sophisticated software provides an easy way for preparing flood susceptibility mapping by FR model. The main objective of the present research is to prepare flood vulnerability map of Kulik river basin by using FR model. The objective of this work is to critically analyse flood risk potential zone of Kulik river basin
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
