Floods are natural hazards that have shaped the landscape of our environment over thousands of years. Recently, the effect of flooding has been intensified by sustained population growth, land use changes and climate change with more intense precipitation patterns. The impact of these effects depends on the magnitude of the flood and the temporal nature of their occurrence, as well as the vulnerability and associated risks of communities and exposed elements (infrastructure, ecosystems, etc.). Most flood risks result from insufficient drainage systems, breaches or backups of levees or dams, and intense rainfall (Kulkarni, et al., 2014). One of the most devastating effects of flooding is the loss of life and damage. to properties. Other effects include economic loss, disruption of ecological resources, food shortages and famine (Haq et al., 2012). The warning time given to the population exposed to the risk of flooding has been described as a key factor in preventing loss of life (Graham, 1999). Therefore, adequate forecasting capacity is essential to mitigate flood damage and establish flood warning systems. Floods have complex spatial and temporal dynamics that motivate their study. The spatial dimension of flooding ranges from local to regional scale, while the temporal dimension varies from slow floods (days) to flash floods (minutes). The spatial extent, variability and magnitude of flooding have been studied using geographic information systems (GIS) (Crossetto et al., 2000), while temporal dynamics have been addressed using hydrological and hydraulic models (Correia, et al., 1998). The coupling of GIS and flood modeling is a developing area. The...... middle of paper ......032.22. Paiva, R.C., Collischonn, W. and Tucci, C.E. (2011). Large-scale hydrological and hydrodynamic modeling using limited data and a GIS-based approach. Journal of Hydrology, 406(3), 170-181.23. Sanders, B.F. (2007). Evaluation of online DEMs for flood modeling. Water Resources Progress, 30(8), 1831-1843.24. Sarhadi, A., Soltani, S. and Modarres, R. (2012). Probabilistic flood mapping of ungauged rivers: linking GIS techniques and frequency analysis. Journal of Hydrology, 458, 68-86.25. Qi, H., Qi, P. and Altinakar, M.S. (2013). GIS-based Monte Carlo spatial analysis for integrated flood management with two-dimensional flood simulation. Water Resources Management, 27(10), 3631-3645.26. Zerger, André. “Review of the GIS Decision Utility for Natural Hazard Modeling.” Environmental Modeling and Software 17, no. 3 (2002): 287-294.