Get Space-time Variation of Hydrological Processes and Water PDF

By Omar Munyaneza

Presenting the hydrological learn 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 method interactions. assorted Hydro-meteorological instrumentations were put in for a number of months within the Migina catchment and measurements were conducted. the craze research is predicated on Mann-Kendall (MK) try and Pettitt try on occasions sequence info various from 30 to fifty six years ahead of 2000. The hydrometric info and sleek tracer equipment is used for hydrograph separation and express that subsurface runoff is dominating the whole discharge even in the course of wet seasons at Cyihene-Kansi and Migina sub-catchments, respectively. additional, 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 ends up in phrases of the runoff parts. The version played kind of good in simulating the full circulation quantity, height stream and timing in addition to the component to direct runoff and baseflow.

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Additional info for Space-time Variation of Hydrological Processes and Water Resources in Rwanda: Focus on the Migina Catchment

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2%). 0% only. 0. 4. 1). , 2012a; adapted). The Migina catchment has a moderate climate with relatively high rainfall and an annual cycle of two rainy seasons, March to May and September to November (FAO, 2005). The mean annual rainfall in the Migina catchment is approximately 1,200 mm a−1 and the mean annual temperature is about 20°C (SHER, 2003). , 2010). , 2010). The rainfall events occurred during the Itumba season (March to May) for the years 2010 and 2011 were investigated in Chapter 4. 3.

The available data included minimum, maximum and mean temperature as well as total rainfall. 5). 2. 2 Time series plots for minimum, maximum and mean temperature from 1971 to 2006 at Kigali (Pt5) station. The symbols show the observed annual mean values and straight lines show the linear trend line. R2 shows the coefficient of determination. 2 shows that the three temperature variables gave similar results in terms of increasing trends. This was observed in this study from almost all selected stations over the study period.

IPCC, 2007). e. g. Uhlenbrook, 2009). Sharif and Burn (2009) demonstrate that operational decisions for water resources infrastructure and management are dependent on both the timing and magnitude of flows and, therefore, climate change impact assessment should consider both types of characteristics. Some recent studies that investigated linkages between climate indices, precipitation and streamflow are Burn and Cunderlik (2004), Chingombe et al. (2005), Sharif and Burn, (2009), Love et al. (2010), Masih et al.

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