Author(s): N. Pontien; B. Bhattacharya
Linked Author(s):
Keywords: Ruvubu; Burundi; HEC-HMS; TRMM; Rainfall disintegration; Rainfall-runoff modelling; Data-scarce catchment
Abstract: 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.
Year: 2011