Please use this identifier to cite or link to this item: http://41.89.96.81:8080/xmlui/handle/123456789/74
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dc.contributor.authorKigen, C.-
dc.contributor.authorShivoga, W. A.-
dc.contributor.authorMagana, A. M.-
dc.date.issued2013-01-01-
dc.date.accessioned2013-08-29T08:36:33Z-
dc.date.available2013-08-29T08:36:33Z-
dc.identifier.urihttp://hdl.handle.net/123456789/74-
dc.description.abstractBenthic macroinvertebrate samples were collected between two points (Bora Milk and Njoro Bridge) in River Njoro, Kenya and used to evaluate the influence of riparian vegetation on water quality, by using BioMAT water quality index (BWQI). The BWQI was developed from the relationship between the taxa, number of benthic macroinvertebrates and their responses to habitat modification by awarding them sensitivity values. The extent of riparian vegetation within 100m strip of riparian land was analysed using GIS tools. The Bora Milk site had a mean of 33.05 BWQI and was 37.63 in Njoro Bridge which had significantly different (two-tailed paired sample t-test = -4.011, p < 0.05). The extent of riparian vegetation in the studied section was 64.24% at Njoro Bridge and in the upstream of Bora Milk was 30.66% coverage and were significantly different (two-tailed paired sample, t-test = -33.585, p < 0.05). This study indicates that, there is a significant natural cleansing by the riparian vegetation between the two points. With the increasing urbanization, demand for agricultural land and clearing of vegetation, the riparian land will be reduced and or disturbed leading to further water quality deteriorate. Reductions of pollutants load into the river, effective treatment of sewage and maintenance of intact riparian vegetation are needed to control further degradation of water in the river.en_US
dc.publisherEgerton Universityen_US
dc.subjectBenthic macroinvertebratesen_US
dc.subjectLand use/Land coveren_US
dc.subjectBioMATen_US
dc.subjectHuman activitiesen_US
dc.subjectWater quality indexen_US
dc.subjectGISen_US
dc.titleChange in Water Quality Index between Two Points in a Highly Impaired River in Eastern Mau, Kenyaen_US
dc.typeArticleen_US
Appears in Collections:Research Week Proceedings



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