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dc.contributor.authorWambua, Raphael M.-
dc.contributor.authorMutua, Benedict M.-
dc.contributor.authorRaude, James M.-
dc.date.accessioned2022-10-25T07:27:39Z-
dc.date.available2022-10-25T07:27:39Z-
dc.date.issued2017-02-16-
dc.identifier.citationMOJ Civil Engineering, Volume 2, Issue 2 2017en_US
dc.identifier.issn2572-8520-
dc.identifier.urihttp://medcraveonline.com/MOJCE/MOJCE-02-00026.pdf-
dc.identifier.urihttp://repository.seku.ac.ke/handle/123456789/6895-
dc.descriptionDOI: 10.15406/mojce.2017.02.00026en_US
dc.description.abstractIn the present study, temporal and spatial drought-risk events are characterized using a Modified Surface Water Supply Index (SWSI) for upper Tana River basin, located in tropics, Kenya. Forty years (1970-2010) hydro-meteorological data for low, lower middle, middle and high elevations at eight hydro-metric stations was used to characterize spatial and temporal distribution of drought. The spatial drought distribution is obtained via interpolation of hydro-metric stations data using Kriging interpolation technique embedded ArcGIS 10.1 was used. The drought trends were analyzed using a non-parametric Mann-Kendall trend test. The results show that south-eastern parts of the basin are the most drought-prone areas at different drought severities and frequencies. Drought severity classes ranged from 1.69-2.22 to 3.39-4.17 and 2.68-3.21 to 4.37-4.96 in 1970 and 2010 respectively across the river basin. The south-western parts of the basin exhibited highest drought frequency ranging from 10.61 to 13.16 while the north-western areas gave frequency values ranging from 3.74 to 6.29. The findings of the study are applicable in Early Drought Warning Systems, prioritized water resources planning and management.en_US
dc.language.isoenen_US
dc.subjectupper tana river basinen_US
dc.subjectSWSIen_US
dc.subjectdrought severityen_US
dc.subjectdrought-risk eventsen_US
dc.subjectmann-kendall trend testen_US
dc.subjectdrought frequencyen_US
dc.titleCharacterization of temporal and spatial drought risk events using surface water supply index (SWSI) in a tropical river basinen_US
dc.typeArticleen_US
Appears in Collections:School of Engineering and Technology (JA)

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