Article Sidebar
Published:
Feb 17, 2015Keywords:
Article Details
Open access articles published in the Journal of Agriculture, Science and Technology are under the terms of the Creative Commons Attribution (CC BY) License which permits use, distribution and reproduction in any medium, provided the original work is properly cited. The CC BY license permits commercial and non-commercial re-use of an open-access article, as long as the author is properly attributed.
Copyright on any research article published in the Journal of Agriculture, Science and Technology is retained by the author(s). The authors grant the Journal of Agriculture, Science and Technology with a license to publish the article and identify itself as the original publisher. Authors also grant any third party the right to use the article freely as long as its original authors, citation details and publisher are identified.
Use of the article in whole or in part in any medium requires proper citation as follows:
Title of Article, Names of the Author, Year of Publication, Journal Title, Volume (Issue) and page. Links to the final article on the JSRE website are encouraged.
The Creative Commons Attribution License does not affect any other rights held by authors or third parties in the article, including without limitation the rights of privacy and publicity. Use of the article must not assert or imply, whether implicitly or explicitly, any connection with, endorsement or sponsorship of such use by the author, publisher or any other party associated with the article.
For any reuse or distribution, users must include the copyright notice and make clear to others that the article is made available under a Creative Commons Attribution license, linking to the relevant Creative Commons web page. Users may impose no restrictions on the use of the article other than those imposed by the Creative Commons Attribution license.
To the fullest extent permitted by applicable law, the article is made available as is and without representation or warranties of any kind whether express, implied, statutory or otherwise and including, without limitation, warranties of title, merchantability, fitness for a particular purpose, non-infringement, absence of defects, accuracy, or the presence or absence of errors.
Main Article Content
Application of the geological streamflow and Muskingum Cunge models in the Yala River Basin, Kenya
Abstract
The nature of surface runoff and its effects in the watershed can be represented by the application of hydrologic and hydraulic models. In this study, the Geological Streamflow Model (GeoSFM) and the Muskingum Cunge (M-C) model were used to model the hydrologic processes of the Yala river network. The objective was to develop a flood early warning system to mitigate potential flood hazard risk exposed to the downstream inhabitants. Historical hydro]metric datasets of 1975] 2005 were used for calibration, verification and streamflow routing based on a split record analysis. For the runoff generation, rainfall and evaporation datasets were provided by the Kenya Meteorological Department while for model calibration and verification, streamflow was obtained from Water Resources
Management Authority. To determine the hydrologic connectivity, the 30 meters by 30 meters Digital Elevation Model was obtained from the International Centre for Research in Agro]forestry. The Digital Soil Map of the World developed by Food and Agricultural Organisation and the Global Land Cover data of the United States Geological Survey were used for model parameterisation. The soil moisture accounting and routing method transferred water through the subsurface, overland and river phases. The percentage of the correlation coefficient (R2% value) was used to determine model performance. The GeoSFM modeled streamflow at the Bondo streamflow gauging station, coded 1FG02 where during the calibration and verification phases, streamflow was modeled at R2 value of
80.6% and 87.3% respectively. The M-C model routed streamflow from 1FG02 to the Kadenge streamflow gauging station, coded 1FG03 at R2 value of 90.8%, Muskingum K value of 2.76 hours and Muskingum X value of 0.4609. The extreme value analysis done on the modeled streamflow portrayed a unique behaviour of the system when compared to the ideal system model that should mimic the real world. It was concluded that the GeoSFM and M-C models were hence useful tools for flood mitigation by issuing flood early warning messages defined by peak streamflow and flood wave travel time.
Key words: Flood, Yala River, geological streamflow model, muskingum cunge model.
