###### Abstract  
The occurrence of flash floods is a natural yet unavoidable occurrence over time. In addition to harming people, property, and resources, it also undermines a country's economy. This paper attempts to identify areas of flood vulnerability using a frequency ratio approach. The frequency ratio (FR) model was used to produce flood prediction maps for New Cairo City, Egypt. Using field data and remote sensing data, 143 spatial flooded point sites were mapped to build a flood inventory map. The primary driving criteria for flash floods were determined to be elevation, slope, aspect, Land Use Land Cover (LULC), lithology, stream distance, stream density, topographic wetness index (TWI), surface runoff, and terrain ruggedness index (TRI), in that order of importance. A flood susceptibility map (FSM) has been created using the FR model, which combines geographical flooded sites and environmental variables. Our findings from FSM, roughly a fifth of the city is very highly susceptible to flooding (19.32%), while the remaining 40.09% and 13.14% of the study area rank very low and low risk, respectively. The receiver operating characteristic curve (ROC) technique was also used to validate the FSM, and the resulting results showed an area under the curve (AUC) of 90.11%. In conclusion, decision makers can employ models to extract and generate flood risk maps in order to better understand the effects of flash floods and to create alternative measures to prevent this hazard in similar regions. The results of this study will aid planners and decision makers in developing some likely actions to reduce floods vulnerability in this area. f 22 June 2023 2023 222 June 2023 222 June 2023 222 June 2023 222 June 2023 222 June 2023 222 22  
the most prominent form of that change, which affects all continents of the world [2; 3; 4; 5; 6]. Even the Arab region, the heart of the world, has become the epicenter of climate change. At the global level, 2010 was the hottest year since the beginning of temperature monitoring in the late nineteenth century, as nineteen countries recorded record temperatures, five of which were Arab countries, in addition to the fact that the Middle East region, in general, is considered the poorest water area. Across the world, the per capita share of fresh water is less than half of the global rate of water poverty, 1000 m\({}^{3}\) per year, according to the World Bank 2014 report. Climate change is tangible, and the ability to deal with it differs according to the material and technical capabilities of countries, but the danger lies in the change of rain regimes in the Arab countries, and thus the drowning of some small cities due to floods, and this is so far because we have reached a temperature increase of 1.1 \({}^{\circ}\)C. Ways to confront climate change include building flood protection systems by evaluating the current risks resulting from floods, as in this work, and thus building scenarios to overcome the problems arising from those risks. Urbanized areas are currently more susceptible to flooding if human activity and environmental factors change streamflow systems and precipitation patterns [8]. Additionally, a number of negative effects of flash floods can be observed, including disruptions to peoples' life, harm to urban traffic, housing failure, and the spread of pollutants [9]. As a result, it is crucial to locate places that frequently flood and direct natural drainage systems into metropolitan areas [10; 11]. Concerning the modelling of flash floods, previous studies used various physical or statistical models to provide precise mapping for flood-prone zones. Physical models include the Hydrological Simulation Program-FORTRAN (HSPF) [12], Storm Water Management Model (SWMM) [13], and HEC-RAS [14; 15], while statistical models include logistic regression, generalized linear models, entropy, frequency ratio (FR), Random Forest (RF), k-nearest neighbours (KNN), weighting factors, weights of evidence, and flexible discriminant analysis [16; 17].