By Omar Munyaneza
Presenting the hydrological examine conducted within the Migina catchment (260 km2), Southern Rwanda with the target to discover the hydrological developments and weather linkages for catchments in Rwanda (26,338 km2), and to give a contribution to the certainty of dominant hydrological approach interactions. assorted Hydro-meteorological instrumentations were put in for a number of months within the Migina catchment and measurements were performed. the rage research relies on Mann-Kendall (MK) try and Pettitt attempt on instances sequence info various from 30 to fifty six years ahead of 2000. The hydrometric info and glossy tracer tools is used for hydrograph separation and express that subsurface runoff is dominating the full discharge even in the course of wet seasons at Cyihene-Kansi and Migina sub-catchments, respectively. extra, a semi-distributed conceptual hydrological version HEC-HMS is utilized for assessing the spatio-temporal edition of water assets within the Migina catchment. The version effects are in comparison with tracer established hydrograph separation leads to phrases of the runoff elements. The version played kind of good in simulating the full circulate quantity, top move and timing in addition to the component to direct runoff and baseflow.
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Extra info for Space-time Variation of Hydrological Processes and Water Resources in Rwanda: Focus on the Migina Catchment
It is in this regards, data collected from MINIRENA which have such problems were not used in the research. 1. 1 Hydro-climatic regimes in Rwanda. The rainfall and temperature data was used from Kigali Airport station (1961-2008), the discharge data presented originates from Rusumo-Kagera station (1961-2000). 1 shows the hydro-climatic regimes in Rwanda. The maximum monthly total rainfall is observed in April (160 mm month-1) for data collected at Kigali Airport station (1961-2008). 5 m3 s-1 equal to 24 mm month-1) for data collected at Rusumo-Kagera station (1961-2000).
The temporal resolution of data available is daily. Station St1, St2, St4, and St7 cannot be used for the analysis because of unreliable discharge data. The reasons are mainly due to: i) gauge datum shifts and gradual shifts in time of zero stage control levels, ii) poor river bed stability, iii) instable controls; and iv) insufficient number of discharge 31 measurements. The general conclusion which can be drawn after the analysis is that there is no continuous time series of daily water levels and/or discharge data available in Rwanda for the selected time period.
Stations Pt2 and Pt5). The observed warming was supported by Collins (2011) who demonstrated that significant increasing temperature trends were found on average all over the African continent.