1. James B, Rouhban B, Papa H, Tovmasyan K. Disaster preparedness and Mitigation. Paris, France: United Nations Educational, Scientific and Cultural Organization. 2007.
2. Henonin J, Russo B, Roqueta D S, Sanchez-Diezma R, Domingo Sto N, Thomsen F, et al. Urban flood real-time forecasting and modelling: A state-of-the-art review. MIKE by DHI conference, Copenhagen, Denmark, 2010, P028.
3. WMO & GWP. Flood Forecasting and Early Warning. World Meteorological Organization & Global Water Partnership, p. 19, 2013.
4. Pappenberger F, Cloke H L, Parker D J, Wetterhall F, Richardson D S, Thielen J. The monetary benefit of early flood warnings in Europe. Environ Sci Policy 2015; 51: 278–91.
5. Banihabib M E, Arabi A. The impact of catchment management on emergency management of flash-flood. Inter J Emerg Manag 2016; 12(2): 185-95.
6. Goodarzi L, Banihabib M E, Roozbahani A, Dietrich J. Bayesian network model for flood forecasting based on atmospheric ensemble forecasts. Nat Hazards Earth Syst Sci 2019; 19(11): 2513–24.
7. Khosroshahi M. An overview to identification and prioritization of flood prone areas using SSSE method in sub-watersheds (Case study: Shamsabad basin). Iran-Watershed Manag Sci Engin 2016; 10(33): 59-73. [In Persian]
8. Chitsaz N, Banihabib M E. Comparison of different multi criteria decision-making models in prioritizing flood management alternatives. Water Resour Manag 2015; 29(8): 2503-25.
9. Melesse A M, Graham W D, Jordan J D. Spatially distributed watershed mapping and modeling: GIS-Bassed strom runoff response and hydrograph analysis: Part 2. J Spatial Hydrol 2003; 3: 2-28.
11. Slagle S E. Hydrology of area 49, Northern Great plains and Rocky Mountain coal province, Montana and Wyoming. U.S geological survey, Water-Resources investigations. Open file report. 1983, 82-682.
12. Tate E, Maidment D. Floodplain Mapping Using HEC-RAS and Arcview GIS. Center for Research in Water Resources (CRWR), 1999 Report No. 99-1, 223 pp.
13. Quinn P, Beven K, Chevallier P, Planchon O. The predection of hillslope flow paths for distributed hydrological modelling using digital terrain models. Hydol Process 1991; 5(1): 59-79.
14. Sahoo G B, Ray C, De Carlo E H. Use of neural network to predict flash flood and attendant water qualities of a mountainous stream on Oahu, Hawaii. J Hydrol 2006; 327(3-4):525-38.
15. Kerh T, Lee C S. Neural networks forecasting of flood discharge at an unmeasured station using river upstream information. Adv Eng Softw 2006; 37(8):533-43.
16. Dawson C W, Abrahart R J, Shamseldin A Y, Wilby R L. Flood estimation at ungauged sites using artificial neural networks. J Hydrol 2006; 319(1-4): 391-409.
17. Jalilvahabi J. Zoning flood risk using remote sensing and geographical information systems in Taleghan watershed, Master thesis, Tarbiyat Modarres University. 1997.
18. Mosavi A. Flood zoning Chehelgazi watershed in Kordestan province using GIS model HEC_HMS, Master thesis, Islamic Azad University, Tehran. 2002.
19. Motiei H, Behnia A, Barbod M. Flood zoning in watersheds by combining GIS and mathematical models, Sixth Seminar on River Engineering, Shahid Chamran University, Ahvaz, 2002; 1367-74.
20. Ghanavati E. Geomorphologic characteristics of Gamasiab basin alluvial fans. Geogr Res 2004; 18(4): 174-82. [In Persian]
21. Yamani M, Enayati M. The relationship between geomorphological characteristics of basins and flood capability (Analysis of flood data through geomorphological comparison of Fashand and Behjatabad basins). Geogr Res 2005; 37(54): 47-57. [In Persian]
22. Sokolova D, Kuzmin V, Batyrov A, Pivovarova I, Tran N A, Dang D, et al. Use of MLCM3 software for flash flood modeling and forecasting. J Ecol Eng 2018; 19(1): 177–85.
23. Le P V V , Kumar P, Valocchi A J, Dang H V. GPU-based high- performance computing for integrated surface-subsurface flow modeling. Environ Modell Softw 2015; 73: 1–13.
24. Gourley J J, Flamig Z L, Hong Y, Howard K W. Evaluation of past, present and future tools for radar-based flash-flood prediction in the USA. Hydrolog Sci J 2014; 59(7): 1377–89.
25. Gourley J J, Flamig Z L, Vergara H, Kirstetter P E, Clark R A, Argyle E, et al. The Flash project: Improving the tools for flash flood monitoring and prediction across the United States. Bull Amer Meteor Soc 2017; 98(2): 361–72.
26. Maryanaji Z, Marofi S. Investigation of runoff flow created by maximum 24 hours rainfall in Ghara-Chay basin using SCS method and GIS application. Agri Res 2005; 5(3); 71-83. [In Persian]
27. Ghaemi H, Morid S, Shams A G. Flood models in Karkheh sub-watershed. Neyvar 1996; 30: 10-27. [In Persian]
28. Heidarpour B, Saghafiyan B, Goliyan S. The effect of involving exceptional outlier data on design flood magnitude. Curr World Environ 2015; 10(2): 698-706.
29. Heidarpour B, Panjalizadeh Marseh B, Ekramirad A, Hosseinnezhad A, Ghasemian Langroudi A. Detection of outlier in flood observations: A case study of Tamer Watershed. Res J Recent Sci 2015; 4(3): 150-3.
30. Adeyemo J, Olofintoye O. Optimized fourier approximation models for estimating monthly streamflow in the Vanderkloof Dam, South Africa. In: Tantar AA. et al. (eds) EVOLVE - A bridge between probability, set oriented numerics, and evolutionary computation V. Advances in Intelligent Systems and Computing, 2014. 288. Springer, Cham.
31. Dastourani J, Yazdani A, Gholipour H, Hasheminasab S N. Investigation of snow and ice coefficient of Isfak watershed. Fifth National Conference on Environment, Energy and Biosafety. Mehr Arvand Institute of Higher Education and Center for Sustainable Development Solutions. 2016. [In Persian]
32. Alizadeh A. Principles of Applied Hydrology, Press Razavi, Sixteenth Edition, 2003. 816p.