Evaluation Of Flows From The Rainfall For A Forecast Of Floods In The Bafing River Watershed At Mamou In The Republic Of Guinea

Yacouba Camara, Mamadou Lamarana Bah, Mamadouba Conté, Cellou Kanté


The purpose of this research is to transform the series of rainfall observations from the Mamou meteorological station in the Republic of Guinea into flows for flood forecasting in the watershed of the Bafing River. We used the rational method for this transformation of rains into flows. After this transformation, we made a graphical representation of the cumulative annual flows over the 42 years of observations (1971-2012), in order to know the year in which there was the maximum flow that we consider to be the year of flooding of the watershed. Then, determine the period at which this flood flow can be repeated on the bed of the stream. According to our calculations, we have used two years for the analysis of flood phenomena on the Bafing River. This choice fell on the years 1976 and 2009 when the maximum flows are respectively 33,594.8 m3/s and 32,599.4 m3/s. The analyzes around these two years show that the flood was observed in 2020 for the year 1976 and it will take place in 2031 for the forecast from 2009. The graph representing the two flood periods has been presented, the flow was maximum in September in 1976 and maximum in August in 2009, with the respective values of 6628.6 m3/s and 11394.6 m3/s.


Assessment, flows, rainfall, forecast, floods, Bafing, Guinea

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Nino Krvavica and Josip Rubini’c, Evaluation of Design Storms and Critical Rainfall Durations for Flood Prediction in Partially Urbanized Catchments, Journal MDPI Water, July 2020

Tsakiris G, Flood risk assessment: Concepts, modeling, applications, Natonal Hazards Earth Systèmes Sciences, 14, 1361, 2014

David A, Schmalz B, Flood hazard analysis in small catchments: Comparison of hydrological and hydrodynamic approaches by the use of direct rainfall. J. Flood Risk Manag. 2020

Annis A, Nardi F, Petroselli A, Apollonio C, Arcangeletti E, Tauro F, Belli C, Bianconi R, Grimaldi S, UAV-DEMs for Small-Scale Flood Hazard Mapping, Water 2020

Cea L, Bladé E, A simple and efficient unstructured finite volume scheme for solving the shallow equations in overland flow applications, Water Ressources, 52, pp.5464-5486, 2015

Fernández-Pato J, Gracia J, García-Navarro P, A fractional-order infiltration model to improve the simulation of rainfall/runoff in combination with a 2D shallow water model, Journal Hydroinf, 20, pp.898-916, 2018

Cea L, Fraga I, Incorporating antecedent moisture conditions and intraevent variability of rainfall on flood frequency analysis in poorly gauged basins, Water Ressources, 54, pp.8774-8791, 2018

Rangari V.A, Umamahesh N, Bhatt C, Assessment of inundation risk in urban floods using HEC RAS 2D Model, Earth Systems Environ, 5, pp.1839-1851, 2019

Cristiano E, Ten Veldhuis M.C, van de Giesen N, Spatial and temporal variability of rainfall and their effects on hydrological response in urban areas-A review Hydrlogy Earth Systems Sciences, 2017

Petroselli A, Vojtek M, Vojteková J, Flood mapping in small ungauged basins: A comparison of different approaches for two case studies in Slovakia, Hydrology Ressources, 50, pp.379-392, 2019

Vojtek M, Petroselli A, Vojteková J, Asgharinia S, Flood inundation mapping in small and ungauged basins: Sensitivity analysis using the EBA4SUB and HEC-RAS modeling approach, Hydrology Ressources, 50, pp.1002-1019, 2019

Apollonio C, Bruno M.F, Iemmolo G, Molfetta M.G, Pellicani R, Flood Risk Evaluation in Coastal Areas: The Case Study of Ippocampo (Southern Italy), Water, 12, 1466, 2020

Grimaldi S, Petroselli A, Serinaldi F, Design hydrograph estimation in small and ungauged watersheds: continuous simulation method versus event based approach. Hydrol. Process. 26, pp.3124-3134, 2012

Alfieri L, Laio F, Claps P, A simulation experiment for optimal design hyetograph selection. Hydrol. Process International Journal, 22, pp.813-820, 2008

Grimaldi S, Petroselli A, Arcangeletti E, Nardi F, Flood mapping in ungauged basins using fully continuous hydrologic-hydraulic modeling, Journal Hydrology, 487, pp.39-47, 2013

Watt E, Marsalek J, Critical review of the evolution of the design storm event concept. Can. J. Civ. Eng. 40, pp.105-113, 2013

Bezak N, Šraj M, Rusjan S, Mikoš M, Impact of the rainfall duration and temporal rainfall distribution defined using the Huff curves on the hydraulic flood modeling results, Geosciences 2018

Saad BENNIS, Hydraulique et Hydrologie 3e édition, Presses de l’Université du Québec, 2014

S BENNIS, Techniques de prévision des crues par l’analyse des séries temporelles, Thèse de doctorat, Génie civil, Université Sherbrooke, Sherbrooke, 1987

D. E. BRAY, Snozmelt-Stream Forecasting for the Tobique River N.B., Master’s Thesis, Dept. of Civil Engineering, University of Nez Brunswick, Fredericton, 1965

H GRISOLLET, Etude des averses orageuses de la région parisienne, La méthodologie, vol. 4, n° 11, p. 175-195, 1948

C Mitci, Nouvelles courbes de pluie et orage type pour la région de Montréal, Eau du Québec, vol. 7, n° 1, p. 37-44, 1974

B. A. Safer, E. B. Jones et D. M. Frick, Snoumelt-Runoff Simulation Using the Maritinec-Rango Model on the South Fork Rio, Grande ano Conejos River in Colorado, Agristars Rep CP. G10, N. 72, Goddard Space Flight Center, Greenbelt, 48 p, 1981

W Viessman et G Lewis, Introduction to Hydrology, Harper Collins, New York, 1996

J. R. Benjamin et C. A. Cornell, Probability Statistics and Decision for Civil Engineers, McGraw-Hill Book Company, New York, 1970

V. T. Chow, A General Formula for Hydrologie Frequency Analysis, Trans. Am. Geophys. Union, vol. 32, p. 231-237, 1951

J. R. Stedinger, R. M. Vogel et E Foufoula-Georgio, Frequency Analysis of Extreme Events, Handbook of Hydrology, McGraw-Hill inc, New York, p. 18-23, 1993

DOI: http://dx.doi.org/10.52155/ijpsat.v25.2.2848


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