全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

Trends in Rainfall and Discharge over Zaaba Sub Catchment, Vihiga County, Kenya

DOI: 10.4236/oalib.1112266, PP. 1-16

Subject Areas: Hydrology

Keywords: Land Cover Changes, Mann Kendall, Rainfall Variability, Sen’s Slope, Streamflow, Zaaba River

Full-Text   Cite this paper   Add to My Lib

Abstract

Temporal variation of rainfall has a direct influence on discharge of a river; however, considerable land cover changes through conversion of natural vegetation to agricultural land, settlement and commercial usage like urbanization have led to encroachment into forested, river riparian and other wetland areas therefore altering runoff generation through variation of rates of vegetal interception, infiltration, evapotranspiration and surface detention. This study determined rainfall trends and discharge from 1991 to 2020 and factors determining response of streamflow to rainfall variability in Zaaba river sub catchment in Vihiga County, Western Kenya. Rainfall data was sourced from Kenya Meteorological Department, discharge data was sourced from Water Resources Authority and land cover data was downloaded from USGS website http://www.earthexplorer.usgs.gov/. Trend analysis was determined by Z-Test, p-value and Sen’s slope estimator. Regression analysis determined the correlation between rainfall and discharge. Data from Key informant interviews, questionnaires and Focus Group Discussions was analysed through SPSS by computing totals and percentages and drawing charts. Rainfall trend analysis at α = 0.05 revealed rainfall was variable at monthly (p-value = 0.037 and Sen’s slope = 0.182), seasonal (Sen’s slope = -0.030 and p-value = 0.043 for MAM and Sen’s slope = 0.136 and p-value = 0.046 for OND) and annual (Sen’s slope = 1.081 and p-value = 0.010) time steps. Discharge trend analysis at α = 0.05 revealed existence of trend on seasonal (Sen’s slope = 0.51 and p-value = 0.009 for MAM and Sen’s slope = 0.521 and p-value = 0.008 for OND) and annual (Sen’s slope = 0.085 and p-value = 0.001). Regression analysis revealed insignificant seasonal correlation (MAM and OND with r = ﹣0.124 and 0.067) and annual correlation (r = 0.051). Statistical analysis revealed that major land cover changes were agricultural area that decreased from 50.05% (2001) to 41.07% (2011) and 32.8% (2020) and increased buildup areas from 5.06% (2001) to 9.29% (2011) to 17.68% (2020) attributed to increased population, expansion of urban areas and encroachment into river riparian that decreased from 5.18% (2001) to 1.18% (2011) and 0.87% (2020). These findings would encourage capacity building on increasing rainfall trends and take measures to control floods.

Cite this paper

Aholi, J. P. , Makokha, M. and Obiero, K. (2024). Trends in Rainfall and Discharge over Zaaba Sub Catchment, Vihiga County, Kenya. Open Access Library Journal, 11, e2266. doi: http://dx.doi.org/10.4236/oalib.1112266.

References

[1]  Chouhan, S., Kumari, S., Kumar, R. and Chaudhary, P.L. (2023) Climate Resilient Water Management for Sustainable Agri-culture. International Journal of Environment and Climate Change, 13, 411-426. https://doi.org/10.9734/ijecc/2023/v13i71894
[2]  Sharma, D. and Mohandatta, S.G. (2017) Classification of Water-shed and Rainfall-Runoff Modelling Using SOM, Linear Regression Analysis and ANN. International Journal of Engineering Research and General Science, 5, 3.
[3]  Tasser, E., Leitinger, G. and Tappeiner, U. (2017) Climate Change versus Land-Use Change—What Affects the Mountain Landscapes More? Land Use Policy, 60, 60-72. https://doi.org/10.1016/j.landusepol.2016.10.019
[4]  Musa, G.A., Muhd, E.T., Muhd, B.G. and Hafizan, J. (2014) Rain-fall Dynamics of Terengganu, Malaysia and Its Recent Trends Analysis Using Mann-Kendall Test. Journal of Advanced Bio-technology, 4, 374-380.
[5]  Nkrumah, F., Klutse, N.A.B., Adukpo, D.C., Owusu, K., Quagraine, K.A., Owusu, A., et al. (2014) Rainfall Variability over Ghana: Model versus Rain Gauge Observation. International Journal of Geosciences, 5, 673-683. https://doi.org/10.4236/ijg.2014.57060
[6]  Onyenechere, E., Azuwike, D. and Enwereuzor, A. (2011) Effect of Rainfall Variability on Water Supply in Ikeduru L.G.A. of Imo State, Nigeria. African Research Review, 5, 22. https://doi.org/10.4314/afrrev.v5i5.18
[7]  Berhane, F. and Zaitchik, B. (2014) Modulation of Daily Precipitation over East Africa by the Madden-Julian Oscillation. Journal of Climate, 27, 6016-6034. https://doi.org/10.1175/jcli-d-13-00693.1
[8]  Sieber, S., et al. (2015) Farmers’ Knowledge and Perception of Climatic Risks and Options for Climate Change Adaptation: A Case Study from Two Tanzanian Villages. Regional Environment Change.
[9]  Viglione, A., Merz, B., Viet Dung, N., Parajka, J., Nester, T. and Blöschl, G. (2016) Attribution of Regional Flood Changes Based on Scaling Fingerprints. Water Resources Research, 52, 5322-5340. https://doi.org/10.1002/2016wr019036
[10]  Faramarzi, M., Abbaspour, K.C., Ashraf Vaghefi, S., Farzaneh, M.R., Zehnder, A.J.B., Srinivasan, R., et al. (2013) Modeling Impacts of Climate Change on Freshwater Availability in Africa. Jour-nal of Hydrology, 480, 85-101. https://doi.org/10.1016/j.jhydrol.2012.12.016
[11]  Kiluva, V.M., Wanyonyi, E.S., et al. (2022) Water Balance Evaluation for Flood Risk Reduction in the Yala River Basin, Western Kenya. Journal of Climate Change and Sustainability, 4, 13-16. https://doi.org/10.20987/jccs.02.06.2022
[12]  LVNWSB (2017) List of Completed Projects in Kakamega and Vihiga Counties: Lake Victoria North Water Services Board. http://www.lvnwsb.go.ke/index.php/projects/completed-projects/126-mbale-water-supply.
[13]  GOK (2015) Impact Report, A Performance Review of Kenya Water Services Sector, 2013-2014. Ministry of Water and Irrigation.
[14]  GOK (2018) Vihiga County Integrated Development Plan. Government Printers.
[15]  Langat, P.K., Kumar, L. and Koech, R. (2018) Understanding Water and Land Use within Tana and Athi River Basins in Kenya: Opportunities for Improvement. Sustainable Water Resources Management, 5, 977-987. https://doi.org/10.1007/s40899-018-0274-0
[16]  Bluman, A.G. (2009) Elementary Statistics: A Step-by-Step Approach. 8th Edition, McGraw Hill, 534-700.
[17]  Huho, J.M. and Mugalavai, E.M. (2010) The Effects of Droughts on Food Security in Kenya. The International Journal of Climate Change: Impacts and Responses, 2, 61-72. https://doi.org/10.18848/1835-7156/cgp/v02i02/37312
[18]  Kenya Meteorological Department (2020) Extreme Weather Events in Kenya between 2011 and 2020. http://www.meteo.go.ke/
[19]  Odiero, J., I Ong’or, B.T. and N. Edward, M. (2018) Rainfall-Runoff Nexus in Mid-Block of Yala Catchment. International Journal of Civil Engi-neering, 5, 6-16. https://doi.org/10.14445/23488352/ijce-v5i10p102
[20]  Boye, A., Verchot, L. and Zomer, R. (2008) Baseline Report: Yala and Nzoia River Basins. International Centre for Research in Agroforestry.
[21]  Shikuku, K.M., Winowiecki, L., Twyman, J., Eitzinger, A., Perez, J.G., Mwongera, C., et al. (2017) Smallholder Farmers’ Attitudes and De-terminants of Adaptation to Climate Risks in East Africa. Climate Risk Management, 16, 234-245. https://doi.org/10.1016/j.crm.2017.03.001

Full-Text


Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133