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International Institute for Aerospace Survey and Earth Sciences, Netherlands (2005)

Study to assess accurate spatial rainfall data in Lake Naivasha basin Kenya

Bhandari Anil, Kumar

Titre : Study to assess accurate spatial rainfall data in Lake Naivasha basin Kenya

Auteur : Bhandari Anil, Kumar

Etablissement de soutenance : International Institute for Aerospace Survey and Earth Sciences, Netherlands

Grade : Master of Science (MSc) 2005

Résumé
Geostatistic is a useful tool to capitalize spatial correlation between neighboring observations to predict attribute values at unsampled locations. It was applied to the Lake Naivasha basin to obtain spatio-temporal distribution of rainfall data. The aim of this study was to assess the accurate rainfall data in the Lake Naivasha basin by integrating geostatistic (cokriging) with weather generator model (WXGEN), estimating the long term daily synthetic rainfall data based on the statistical information from the existing daily rainfall data. Elevations information of the rainfall stations were obtained from Digital elevation model (DEM) using ENVI and ILWIS software. Weather generator input parameters (mean, standard deviation, skewness, wet-wet Markov chain probability, wet-dry Markov chain probability and average number of rainy days) were obtained using EXCEL and SPSS software. Cokriging interpolation with elevation was applied to the weather generator input parameters to obtain spatially distributed map. Fourier series approximation was used to determine temporal variability of the weather generator input parameters. Spatio-temporal map was obtained by combining spatially distributed map with temporal distribution information. Weather generator model (WXGEN) was applied to generate synthetic rainfall data for specific Julian day(s). Finally, combination of geostatistical prediction technique (cokriging) with weather generator model (WXGEN) can provide better estimation of long term daily synthetic rainfall data useful for hydrological modelling then other conventional methods

Sujets : Lake Naivasha, Kenya ; Watershed ; Rain ;

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Page publiée le 29 décembre 2016, mise à jour le 21 février 2018