PHD-Department of Water and Environmental Engineering
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Item Forecasting seasonal stream flow in Athi River basin using global climate predictors(2012-04-20) Obiero, Clifford ClementExtreme weather events are associated with floods and drought which affect infrastructure, food security, water availability, sanitation and hydro power generation. The Athi river basin is prone to such extreme weather events. This study examines the spatial and temporal hydrological characteristics of the Athi river basin, their teleconnections with EI Nifio/Southern Oscillation (ENSO) and the Indian Ocean Dipole (lOD) and assesses the potential use of derived teleconnections for stream flow forecasting. The Principal Component analysis (PCA) method was used to design the minimum rainfall and stream flow networks for the basin. Spatial and temporal PCA modes were used to study the spatial characteristics of seasonal rainfall and stream flow. Trends were studied using graphical and Spearman rank correlation methods while periodicity was investigated using wavelet analysis. PCA and composite analysis were used to map linkages among extreme seasonal rainfall/stream flow patterns and ENSO and IOD evolution phases for the 'long' and 'short' rainy seasons. Simple linear correlation and Canonical Correlation Analysis (CCA) were used to delineate interlinkages among rainfall, stream flow, ENSO and IOD. The potential of deriving seasonal rainfall and stream flow forecasts was investigated using the step-wise regression and the non-parametric seasonal forecasting (NSFM) models. PCA delineated the Athi river basin into six rainfall and three streamflow homogenous zones. The spatial characteristics of seasonal rainfall and streamflow showed a strong influence of the Inter Tropical Convergence Zone OTCZ), land sea mesoscale circulation system, orography and land use systems. The PCA based areal rainfall and streamflow indices and communality analysis were.used to determine the best representative stations for the homogenous zones. PCA (T-mode) delineated most of the wet /high flow and dry/low flow years observed from historical records including 1997/1984 which are some of the wettest/driest years on record in the basin. Although, the results showed significant rainfall and stream flow trends at some locations, it was difficult to associate the observed trends to climate change, due to limited data length. Wavelet analyses showed significant peaks centered at 2-3, 5-7 and 10-12 years which may be associated with Quasi-Biennial Oscillation, ENSO, solar cycles and decadal variability modes. Linkages between various modes of ENSO were also delineated including "El Nino Modokt which is a manifestation of El Nifio associated with dry instead of the normal wet conditions in the basin. Strong linkages of seasonal rainfall and stream flow with ENSO and IOD phases with time lags of 7-9 months and lag correlations of 0.8 - 0.9 were obtained. The composite results indicated that the wetlhigh flow and dry/low flow conditions in the basin could be associated with the evolution of ENSO and IOD phases. CCA method delineated the major Indian Ocean Sea Surface Temperature (SST) modes, which are associated with extreme March-May and September-November seasonal rainfall and streamflow. Regression and NSFM models showed good predictions skills for low and high flows using ENSO and IOD predictors. The results of this study provide tools for prediction, early warning of the extremes episodes, management, planning and operation of water resources systems.