Rainfall-Runoff Nexus in Mid-block of Yala Catchment

International Journal of Civil Engineering

© 2018 by SSRG - IJCE Journal

Volume 5 Issue 10

Year of Publication : 2018

Authors : James Odiero, Basil T.I Ong’or, and Masibayi N. Edward

10.14445/23488352/IJCE-V5I10P102

How to Cite?

James Odiero, Basil T.I Ong’or, and Masibayi N. Edward, "Rainfall-Runoff Nexus in Mid-block of Yala Catchment," SSRG International Journal of Civil Engineering, vol. 5,  no. 10, pp. 6-16, 2018. Crossref, https://doi.org/10.14445/23488352/IJCE-V5I10P102

Abstract:

Understanding rainfall- runoff relationship in any watershed is key to proper management of the watershed and mitigating challenges including infrastructural damages, high cost of water treatment and loss of life. This paper establishes the rainfall–runoff relationship by considering discharges in the feeder streams of Zaaba, Edzava, and Garagoli rivers. ArcGiS was used to delineate the watersheds and ANN model used for results analysis. The research derived relationship of rainfall and runoff in the three watersheds with correlation coefficient R, of between 1 and 0.8 for the water sheds showing that the model is suitable and reliable.

Keywords:

 ANN; ArcGIS; DEM; Rainfall; Runoff; River Yala watershed.

References:

[1] Chen , L., Liu., and Changming., Changes of runoff component in the source region of the Yellow River during the second half of the twentieth century. Water International, 2009. 34(4): p. 497-507. 
[2] Bloschl, G., Rainfall–runoff modeling of ungauged catchments, in Encyclopedia of Hydrological Sciences, J.W.a.S. M. Anderson, Editor. 2005. 
[3] Ong’or, B., T.,I., L.-C. Shu, and C. Jinning, Groundwater overdraft and impact of artificial recharge on groundwater quality in cone of depression. Water International, 2009. 34(4): p. 468-483. 
[4] Ministry, S.P., National Policy on Disaster Management. 2007, Republic of Kenya: Nairobi. 
[5] ICPAC, Climate Change and Human Development in Africa: Assessing the Risks and Vulnerability of Climate Change in Kenya, Malawi and Ethiopia. 2007, UNDP: Nairobi. 
[6] Institute, W.R., Nature’s Benefits in Kenya, An Atlas of Ecosystems and Human Well-Being. 2007, World Resources Institute: Washington, DC and Nairobi:. 
[7] Kiluva, V.M., et al., Rainfall runoff modeling in Yala River basin of Western Kenya Journal of Meteorology and Related Sciences, 2010. 
[8] United Nations Environment Programme (UNEP), Regional Centre for Mapping of Resources for Development (RCMRD). 2009, United States Geological Survey (USGS): Government of Kenya (GoK). 
[9] Wanyonyi E. S., Wakhungu J. W., and V.M. Kiluva, Determination of The Extent of Yala River Flood Flows in The Yala Basin , Kenya Nile Water Science & Engineering Journal, 2015. 8(1). 
[10] Githui, F., et al., Climate change impact on SWAT simulated streamflow in western Kenya. International Journal of Climatology, 2009. 29(12): p. 1823-1834. 
[11] Boye, A., L. Verchot, and R. Zomer, Baseline Report; Yala and Nzoia River Basins. 2008, International Centre for Research in Agorforestry: Nairobi, Kenya. 
[12] Bertolo, E., Catchment characterization and modeling EuroLandscape project, J.R.C.I. Space application Institute, Editor. April 2000: Va, Italy. 
[13] Suhaila, J., M.D. Sayang, and A.A. Jemain, Revised Spatial Weighting Method for Estimation of Missing Rainfall Data. Asia Pacific Journal of Atmospheric Sciences, 2008. 44(2): p. 93-104. 
[14] Thompson, D.B., The Rational Method. 2006: Civil Engineering Deptartment, Texas Tech University. 
[15] New Jersey State., Stormwater Best Management Practices Manual; Computing stormwater runoff rates and volumes, D.o. Environment, Editor. February, 2004, : New Jersey. p. 5-26.