Volume 1, Issue 2, August 2016, Page: 13-19
Performance Assessment of the IHACRES Model in the Upper Catchment of Dawa Sub-basin, Borna Rangeland, Ethiopia
Wondimu Tolcha, Oromia Agricultural Research Institute, Department of Natural Resource Management, Yabello Pastoral and Dry Land Agriculture Research Centre, Yabello, Ethiopia
István Waltner, Institute of Environmental Science, Department of Water and Waste Management, Szent István University, Gödöllő, Hungary
Received: Jun. 6, 2016;       Accepted: Jun. 14, 2016;       Published: Jul. 11, 2016
DOI: 10.11648/j.eas.20160102.11      View  3375      Downloads  69
Abstract
This paper is focused on the applicability of IHACRES model in areas were hydraulic data are the limitation factor. For the existence and development of society, water resources are essential renewable natural resources. Long term stresses such as land use/land cover change and climate change have an effect on hydrologic systems. Widespread land use changes have often been associated with changes in the local hydrology as hydrologic responses of a catchment are influenced by land cover. Proper utilization of these resources requires assessment and management of the quantity and quality of the water resources both spatially and temporally. In order to establish the rainfall-runoff relationships, hydrological models from its simple form of unit hydrograph to rather complex models based on fully dynamic flow equations have been used over the entire world in different circumstance. The purpose of this paper is to evaluate the performance of IHACRES in the upper catchment of the Dawa sub basin in southern Ethiopia.
Keywords
IHACRES, Borana, Hydrological Model
To cite this article
Wondimu Tolcha, István Waltner, Performance Assessment of the IHACRES Model in the Upper Catchment of Dawa Sub-basin, Borna Rangeland, Ethiopia, Engineering and Applied Sciences. Vol. 1, No. 2, 2016, pp. 13-19. doi: 10.11648/j.eas.20160102.11
Copyright
Copyright © 2016 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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