Differences in Water Quality In Relation To Human Activities along River Shimiche Ecosystem, Western Kenya

Authors

  • Dorice Sintu Nyongesa  Department of Biological Sciences, Masinde Muliro University of Science and Technology, P.O. Box 190-50100 Kakamega, Kenya
  • Henry B.O. Lung'ayia  Department of Biological Sciences, Masinde Muliro University of Science and Technology, P.O. Box 190-50100 Kakamega, Kenya
  • William A. Shivoga  Department of Biological Sciences, Masinde Muliro University of Science and Technology, P.O. Box 190-50100 Kakamega, Kenya

Keywords:

Escherichia coli, Water Quality, River Ecosystem, Anthropogenic Activities

Abstract

A vast majority of inland water bodies are rapidly undergoing degradation or drying up mainly due to human influences and climate change. These water bodies and especially those that supply domestic water to human populations should be given more attention for management and conservation. The main objective of this study was to determine the differences in water quality in relation to economic land use practices along River Shimiche in Western Kenya. The River's ecosystem drains three land use types; forested environment in the upper course, sugarcane plantations and urban settlement in the middle and small-scale mixed farming activities in the lower course. Sampling was done at nine sampling stations once a month from January 2014 to August 2014. The sampling stations were selected to represent the main land uses along the course of the river determined by direct surveys and observations. Water temperature, pH, electrical conductivity and total dissolved solids were measured in-situ in triplicate, using appropriate meters. Water samples were also collected randomly in triplicate at each station and taken to the laboratory for determination of total suspended solids and enumeration of Escherichia coli, a coliform bacterium. Statistical analyses were done using Statistical Analysis System (SAS) version 9.1. Mean, variance and standard error were used to assess the spread of the data. The means of the parameters and one-way analysis of variance (ANOVA) were calculated to compare the mean values of observations based on land use. Where ANOVA showed significant differences, the means were separated through difference of the least square analysis. Pearson correlation co-efficient explored the relationships between physico-chemical parameters and E. coli concentrations. The means of all the physico-chemical variables at the three land uses were significantly different (p<0.05); indicating that land use variation impacts on physico-chemical conditions in the river's ecosystem. Mixed agriculture and urban settlements areas recorded the highest concentration of the E. coli. Changes in riparian land uses in the watershed therefore impact on the river physico-chemical conditions which consequently affect concentrations of E. coli, a biological indicator of water quality. There is need for the establishment of effective management schemes by different stakeholders for sustainable utilization of land along the course of River Shimiche and other similar small rivers.

References

  1. Andrea G., Veronique V., Lorenzo B., Willy B. and Vanrollegham P. (2009). Model-based assessment of shading effect on river Quality. Engineering Ecological 35: 92-104
  2. (1998). Standard Methods for the Examination of Water and Wastewater. American Public Health Association (eds) 20th ed, Washington DC.
  3. Brookes A. (1992). River channel change, In: P. and Petts G.E., (Eds): The river Chelelat Handbook: Hydrological   and ecological principles.Volume 2- Black-well scientific publications, Oxford.
  4. Danida, (1998). Environmental Profile of Mwanza Municipality, Mwanza Municipal Council CBEM Kamp sax
  5. Daynessius M., and Nilsson C. (1994). Fragmentation and flow regulation of river systems in the northern third of the world. Science 266:753-762.
  6. Enanga M., Shivoga W., Maina-Gichaba C. and Creed F. (2010). Observing Changes in Riparian Buffer Strip Soil Properties Related to Land use Activities in River Njoro Watershed, Kenya. Water, Air and Soil Pollution 218: 587-601.
  7. Lamb, J.C. (1985). Water Quality and its control. John Woley & sons, New Water Quality and its     John Wiley & sons, New York.
  8. Maier H., Bush M. and Bormans M. (2001). Flow management strategies to control blooms of Cyanobacterium, Anabaena circunalis, in the river Murray at Morgan, South Australlia, Regulated River. Research and Management 17: 637-650.
  9. Meertens H.C., Ndege L.J. and Enserink H.J. (1995). Dynamics in farming systems: Changes in time and space in Sukuma land, Tanzania, Royal Tropical Institute/Amsterdam.
  10. Mitchell M.K. and Stapp W.B. Field Manual for Water Quality Monitoring: An Environmental Education Program for Schools (ed. Katz D.E.). Kendall/Hunt Publishing Company. ISBN 0757555462, 9780757555466.
  11. Mosley, L., Sarabjeet S. and Aalbersberg, B. (2004). Water quality monitoring in Pacific Island countries. Handbook for water quality managers & laboratories, Public Health officers, water engineer and suppliers, Environmental Protection Agencies and all those organizations involved in water quality monitoring( 1st Edition). 43p; 30cm, ISSN: 1605-4377: SOPAC, the University of the South Pacific, Suva – Fiji Islands.
  12. Onyando Z.O., Shivoga W.A., Lung’ayia H., Ochieno, D.W., Agevi H. and Kigen C. (2013). The influence of land use on nutrient regime in a tropical stream. Elixir Pollution 64 (2013): 19290-19294. Available online at www.elixirpublishers.com (Elixir International Journal). ISSN: 2229-712x.
  13. Osborne L. and Wiley M. (1998). Empirical relationships between land-use cover and Stream water-quality in an agricultural watershed. Environmental Management 26: 9-27.
  14. Raburu P. and Okeyo-Owuor J. (2010). Impact of agro-industrial activities on the water quality of River Nyando, Lake Victoria Basin, Kenya. Journal of Ecology and Natural Environment Vol. 2: 307/314.
  15. Raburu P., Masese O., Mulanda A. (2010). Macro-invertebrate Index of Biotic Integrity (M-IB) for monitoring rivers in the upper catchment of Lake Victoria Basin, Kenya, Aquatic Ecosystem Health Management, In press.
  16. Salequzzaman, M., Tariqul, I.S. M., Tasnuva, A., Kashem, M.A. and Mahedi Al Masud, M. (2008). Environmental impact of Sugar industry – a case study on Kushtia Sugar Mills in Bangladesh: Khulna: Green World Foundation.
  17. Shehata S and Badr S. (2010). Water Quality Changes in River Nile Cairo, Egypt. Applied Sciences Research Vol. 6: 1457/1465.
  18. Shivoga W. (2005), Influence of hydrology on the structure of invertebrate communities in two streams flowing into Lake Nakuru, Kenya. Hydrobiologia 428: 121-130.
  19. Tabacchi E., Correll L., Hauer R., Pinay G., Planty-Tabacchi A. and Wissmar, R. (1998). Development, maintenance and role of riparian vegetation in the river landscape, Freshwater Biology 40: 497-516
  20. Townsend C., Arbuckle J. and Crowl T. (1997). The relationship between land use and Physico-chemistry, food resources and macro-invertebrates communities in tributaries of Taieri River, New Zealand: A hierarchically scaled approach. Fresh water Biology 37: 177-191.
  21. UNEP/WHO. (1996). Global Environmental Monitoring System: Assessment of freshwater Quality Nairobi, United Nations Environmental Programme, Geneva, and World Health Organization.
  22. (2006). Water Quality Standards Review and Revision. United States Environmental Protection Agency. Washington, DC.

Downloads

Published

2016-08-30

Issue

Section

Research Articles

How to Cite

[1]
Dorice Sintu Nyongesa, Henry B.O. Lung'ayia, William A. Shivoga, " Differences in Water Quality In Relation To Human Activities along River Shimiche Ecosystem, Western Kenya, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 4, pp.786-796, July-August-2016.