Development of frequency models for predicting design storms in Lake Baringo drainage basin in Kenya

Onyando, JO; Chemelil, M. C.; Awer, M; Kisoyan, P.

doi:10.4314/bjt.v13i1.15377

Cited by 1 publication

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“…For instance, extreme drought events require management practices which will retain adequate water in the catchment during the rainy season and thereafter (Onyando et al 2004). Hence, to be able to adapt to future changes of extreme hydrological events, their temporal and spatial variability trends need to be determined.…”

Section: Introductionmentioning

confidence: 99%

Detection of trends in extreme streamflow due to climate variability in the Lake Naivasha basin, Kenya

Kyambia

Mutua

2014

International Journal of River Basin Management

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Variability of streamflow has far-reaching impacts especially in developing countries. This is aggravated by climate change which has adversely affected the water resources and food security. This paper presents the characterization trends in extreme streamflow regimes with a view to providing information for planning local coping mechanisms to climate variability and change using streamflow data recorded from 1959 to 2008 in the Lake Naivasha basin in Kenya. The maxima and percentiles of streamflow distributions were investigated to identify changes in extreme intensity and frequency, respectively, using the Mann -Kendall test. The results indicate significant increases in annual maxima at all gauging stations. The flows in the month of November increased significantly at gauging stations 2GB4 and 2GC4. Flow percentile exceedance revealed that the annual 95th percentile exceedance increased significantly at gauging stations 2GB1 and 2GB5 with a decrease in annual 90th and 97th percentile exceedance at gauging stations 2GB4 and 2GC4. The results presented in this paper are useful for climate change adaptation planning and management especially in water supply, hydropower generation and agriculture.

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Section: Introductionmentioning

confidence: 99%