IAHR, founded in 1935, is a worldwide independent member-based organisation of engineers and water specialists working in fields related to the hydro-environmental sciences and their practical application. Activities range from river and maritime hydraulics to water resources development and eco-hydraulics, through to ice engineering, hydroinformatics, and hydraulic machinery.
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You are here : eLibrary : IAHR World Congress Proceedings : 34th Congress - Brisbane (2011) : THEME 1: Extremes and Variability : Hydrological modelling in data-scarce catchments - the example of ruvubu river basin in burundi
Hydrological modelling in data-scarce catchments - the example of ruvubu river basin in burundi
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The paper presents the scientific challenges of hydrological modelling of data-scarce catchment with particular reference to Ruvubu River Basin in Burundi. Due to limited availability of relevant data most of the information was gathered from the public domains. A digital elevation model was created and the catchment was delineated using ASTER data. A lumped rainfall-runoff (RR) model was built using the public-domain tool HEC-HMS, which made use of the freely available information about land-use and soil. Time series record of daily precipitation at a number of catchment locations was available and was used to build the rainfall-runoff model. The RR model is the first of its kind for the basin and provides a basis for catchment-scale hydrological studies, which was used to generate daily runoff data to be used in flood-frequency curves. A flood forecasting model is also built. The daily rainfall data was disintegrated using the 3-hourly rainfall data from Tropical Rainfall Measurement Mission (TRMM) by adopting an adjustment procedure.
File Size : 1,813,245 bytes
File Type : Adobe Acrobat Document
Chapter : IAHR World Congress Proceedings
Category : 34th Congress - Brisbane (2011)
Article : THEME 1: Extremes and Variability
Date Published : 07/08/2012
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