Mapping Land Use Land Cover within Flood Risks and Safe Zones in Budalangi Sub-County, Kenya
Abstract
Riverine flooding is associated with not only displacement of people but also loss of property and lives in the lower course of rivers. However, there is a dearth of literature on land use and land cover within flood risk zones and safe zones within the Western Region in Kenya. Using Landsat Satellite Images and household survey, this study aimed at mapping land use land cover within flood risk and safe zones in Budalangi sub-county, Kenya. A sample size of 162 household heads was selected using stratified random sampling. Flood stage scenarios were hypothesized and overlay analysis was done to determine the locations for evacuation and land use at risk. Descriptive data analysis was adopted to analyze data from respondents. Analyzed Landsat Satellite Images reveal that 39.1 % (76.2 Km2) of the study area were flood risk zones while 60.9 % (118.8 Km2) were safe zones. Ninety percent (90 %, 68.6 Km2) of the flood risk zones were located within altitudes less than 1144 m above sea level (a.s.l) while safe zones were located in areas with more than 1144 m a.s.l. Within the flood risk zones, 57.0 % (39.1 Km2) was covered with papyrus vegetation, 19.2 % (13.2 km2) with riverine vegetation, 18.4 % (12.6 km2) with farmlands and 5.4 % (3.7 km2) with buildings or bare lands. Ninety percent (90 %) of the safe regions were found within learning institutions, market centres and administrative centres. The majority of the respondents (n = 157, 96.9 %) had experienced flooding on their farmlands and some of them (n = 125, 79.6 %) indicated that floods had destroyed their crops. The flooding that occurred frequently within the study area during the high rain season was mainly mitigated through terracing and the use of canals. The current study concludes that flood risk zones were covered by natural vegetation while safe zones were occupied by human settlements. This study suggests that residents in flood-prone areas should avoid residing within flood-risk zones during rainy seasons.
Downloads
References
Abdelmoneim, H., Eldardiry, H., Saber, M., Kantoush, S. A., Moghazy, H. M., & Sumi, T. (2023). Integrating multi-sensor observations and rainfall-runoff inundation modeling for mapping flood extents over the Nile River Basin: Example from the 2020 flooding in Sudan. Geocarto International, 38(1), 2197504. https://doi.org/10.1080/10106049.2023.2197504
Akali, N. M., Oteng’i, S. B. B., Masibayi, E. N., Mokua, F. A., & Maloba, J. (2015). GIS-based modeling of land use dynamics in river Nzoia basin, Kenya. Global Journal of Engineering Science and Research Management, 2(9), 88-104. http://www.gjesrm.com/Issues%20PDF/Archive-2015/September-2015/11.pdf
Aldardasawi, A. M., & Eren, B. (2021). Floods and their impact on the environment. Academic Perspective Procedia, 4(2), 42-49. https://doi.org/10.33793/acperpro.04.02.24
Andang’o, H.A (2023). Investigating the Teleconnection between ENSO and Basin Scale Flooding: Case study of Nzoia River Basin Western, Kenya. Masters of Science Thesis. University of Nairobi. https://erepository.uonbi.ac.ke/handle/11295/2/browse?authority=d3a19c84-799d-4b61-8060-e91fa41fa739&type=author
Balgah, R. A., Ngwa, K. A., Buchenrieder, G. R., & Kimengsi, J. N. (2023). Impacts of floods on Agriculture-Dependent livelihoods in Sub-Saharan Africa: An Assessment from multiple Geo-Ecological zones. Land, 12 (2), 334. https://doi.org/10.3390/land12020334.
Basri, H., Syakur, S., Azmeri, A., & Fatimah, E. (2022). Floods and their problems: Land uses and soil types perspectives. In IOP Conference Series: Earth and Environmental Science, 951(1), 1- 9. IOP Publishing. https://doi.org/10.1088/1755-1315/951/1/012111
Chan, F. K. S., Lu, X., Li, J., Lai, Y., Luo, M., Chen, Y. D., ... & Chan, H. K. (2024). Compound flood effects, challenges and solutions: Lessons toward climate-resilient Chinese coastal cities. Ocean & Coastal Management, 249, 107015. https://doi.org/10.1016/j.ocecoaman.2023.107015
Das, R., & Samanta, G. (2023). Impact of floods and river-bank erosion on the riverine people in Manikchak Block of Malda District, West Bengal. Environment, development and sustainability, 25(11), 13595-13617. https://doi.org/10.1007/s10668-022-02648-1
Dulo, S. O., Odira, P. M. A., Nyadwa, M. O., & Okelloh, B. N. (2010). Integrated flood and drought management for sustainable development in the Nzoia River Basin. Nile Basin Water Science & Engineering Journal, 3(2), 39- 51. https://www.nilebasin- journal.com/images/files/uploads/6832_28093916.pdf
Fleischmann, A. S., Papa, F., Fassoni-Andrade, A., Melack, J. M., Wongchuig, S., Paiva, R. C. D., ... & Collischonn, W. (2022). How much inundation occurs in the Amazon River basin? Remote Sensing of Environment, 278, 113099. https://doi.org/10.1016/j.rse.2022.113099
Fu, Y., Bellerby, R. G., Ji, H., Chen, S., Fan, Y., & Li, P. (2023). Impacts of riverine floods on morphodynamics in the Yellow River Delta. Water, 15 (8), 1568. https://www.mdpi.com/2073-4441/15/8/1568
Gaya, C. O. (2020). Application of GIS and Remote Sensing in Flood Management in the Lake Victoria Basin. Doctoral dissertation, Jomo Kenyatta University of Agriculture and Technology, College of Engineering and Technology. http://ir.jkuat.ac.ke/handle/123456789/5264
Gibson, S., & Shelley, J. (2020). Flood disturbance, recovery, and inter-flood incision on a large sand-bed river. Geomorphology, 351, 106973. https://www.sciencedirect.com/science/article/pii/S0169555X19304647
Government of Kenya (2019). Kenya Population and Housing Census Reports. Volume II distribution of population by Administrative units. Kenya National Bureau of Statistics. https://www.knbs.or.ke/2019-kenya-population-and-housing-census-reports/
Hooke, J. (2023). Flood impacts on vegetation and hydraulics in ephemeral channels and dynamics of recovery. Journal of Ecohydraulics, 8 (2), 89- 104. https://doi.org/10.1080/24705357.2023.2189168
Jain, S. K., Singh, R. D., Jain, M. K., & Lohani, A. K. (2005). Delineation of flood-prone areas using remote sensing techniques. Water Resources Management, 19(4), 333-347. https://doi.org/10.1007/s11269-005-3281-5
Jia, H., Chen, F., Pan, D., Du, E., Wang, L., Wang, N., & Yang, A. (2022). Flood risk management in the Yangtze River basin—Comparison of 1998 and 2020 events. International Journal of Disaster Risk Reduction, 68, 102724. https://www.sciencedirect.com/science/article/pii/S2212420921006853
Krasiewicz, D. W., & Wierzbicki, G. (2023). Flood Perception from Local Perspective of Rural Community vs. Geomorphological Control of Fluvial Processes in Large Alluvial Valley (the Middle Vistula River, Poland). Hydrology, 10 (10), 191. https://doi.org/10.3390/hydrology10100191
Lawanson, O. I., Proverbs, D., & Ibrahim, R. L. (2023). The impact of flooding on poor communities in Lagos State, Nigeria: The case of the Makoko urban settlement. Journal of Flood Risk Management, 16(1), e12838. https://doi.org/10.1111/jfr3.12838
Maciel, J. S. C., Alves, L. G. S., Oliveira, B. F., Senna, R. C., & Albuquerque, V. D. S. (2022). What happened in 2021? Analyzing the biggest Negro River flood in Manaus, Brazil. WIT Transactions on The Built Environment, 208, 3-14. https://www.witpress.com/elibrary/wit-transactions-on-the-built-environment/208/38310
Marino, A., Fenoglio, S., & Bo, T. (2024). The Impact of Catastrophic Floods on Macroinvertebrate Communities in Low-Order Streams: A Study from the Apennines (Northwest Italy). Water, 16 (18), 2646. https://doi.org/10.3390/w16182646
Mutiso, F. M. (2011). Integration of remote sensing (RS) and geographic information system (GIS) in monitoring and management of floods; case study Budalangi area. Doctoral dissertation, University of Nairobi. https://erepository.uonbi.ac.ke/bitstream/handle/11295/9899/%20Mutiso_Integration%20of%20remote%20sensing%20(rs)%20and%20geographic%20information%20system%20(gis)%20in%20monitoring%20and%20management%20of%20floods?sequence=4
Mwangi, M. P. (2016). The role of land use and land cover changes and GIS in flood risk mapping in Kilifi County, Kenya. Master Thesis, School of Environmental Studies: Kenyatta University. https://upgro.org/wp- content/uploads/2017/01/the-role-of-land-use-and-land-cover-changes-coastal-catalyst.pdf
Naeem, B., Azmat, M., Tao, H., Ahmad, S., Khattak, M. U., Haider, S., Ahmad, S., Khero, Z. & Goodell, C. R. (2021). Flood hazard assessment for the Tori levee breach of the Indus River basin, Pakistan. Water, 13 (5), 604. https://doi.org/10.3390/w13050604
Odero, N. A., Mahiri, I & Obiero, K. (2022). Participatory Geographic Information System (PGIS) Mapping; an Integrated Flood Management Tool in the Flood Prone Areas of Lower Kano Plains, Kisumu County, Kenya. Journal of Geography, Environment and Earth Science International, 26(2): 25-38. https://journaljgeesi.com/index.php/JGEESI/article/view/580
Onywere, S. M., Getenga, Z. M., Mwakilala, S. S., Twesigye, C. K. and Nakiranda, J. K. (2011) Assessing the challenge of settlement in Budalangi and Yala swamp area in Western Kenya: Using Landsat satellite imagery, The Open Environmental Engineering Journal, 4(1). https://ir- library.ku.ac.ke/items/9135177c-6b35-47ce-96f7-d4d938a06859
Osere, E. (2020). 40,000 displaced by floods in Budalangi. Star Newspaper, 04 May 2020. https://www.the- star.co.ke/counties/western/2020-05-04-40000-displaced-by-floods-in-Budalangi
Rayburg, S., Neave, M., & Thompson-Laing, J. (2023). The impact of flood frequency on the heterogeneity of floodplain surface soil properties. Soil Systems, 7(3), 63. https://doi.org/10.3390/soilsystems7030063
Riedel, L., Röösli, T., Vogt, T., & Bresch, D. N. (2024). Fluvial flood inundation and socio-economic impact model based on open data. Geoscientific Model Development, 17(13), 5291-5308. https://doi.org/10.5194/gmd-17-5291-2024
Sanyal, J., & Liu, X. X. (2004). Application of remote sensing in flood management with special reference to monsoon Asia: a review. Natural Hazards, 33(2), 283-301. https://link.springer.com/article/10.1023/B:NHAZ.0000037035.65105.95
Schilling, K. E., Anderson, E. S., Mount, J., Suttles, K., Gassman, P. W., Cerkasova, N., White., M.J. & Arnold, J. G. (2024). Evaluation of flood metrics across the Mississippi-Atchafalaya River Basin and their relation to flood damages. PloS one, 19(10), e0307486. https://doi.org/10.1371/journal.pone.0307486
Shen, P., Wei, S., Shi, H., Gao, L., & Zhou, W. H. (2023). Coastal flood risk and smart resilience evaluation under a changing climate. Ocean-Land-Atmosphere Research, 2, 0029. https://doi.org/10.34133/olar.0029
Singh, H., Nielsen, M., & Greatrex, H. (2023). Causes, impacts, and mitigation strategies of urban pluvial floods in India: A systematic review. International Journal of Disaster Risk Reduction, 93, 103751. https://doi.org/10.1016/j.ijdrr.2023.103751
Stutenbecker, L., Scheuvens, D., Hinderer, M., Hornung, J., Petschick, R., Raila, N., & Schwind, E. (2023). Temporal variability of fluvial sand composition: An annual time series from four rivers in SW Germany. Journal of Geophysical Research: Earth Surface, 128(6), e2023JF007138. https://doi.org/10.1029/2023JF007138
Svetlana, D., Radovan, D., & Ján, D. (2015). The economic impact of floods and their importance in different regions of the world with emphasis on Europe. Procedia Economics and Finance, 34, 649- 655. https://www.researchgate.net/publication/312613626
Talbot, C. J., Bennett, E. M., Cassell, K., Hanes, D. M., Minor, E. C., Paerl, H., ... & Xenopoulos, M. A. (2018). The impact of flooding on aquatic ecosystem services. Biogeochemistry, 141, 439-461. https://doi.org/10.1007/s10533-018-0449-7.
Weber, A., & Lehmkuhl, F. (2024). Mixed response of trace element concentrations in fluvial sediments to a flash flood in a former mining area. Environmental Sciences Europe, 36(1), 109. https://doi.org/10.1186/s12302-024-00926-5.
Yamane, T. (1967). Sampling Statistics. New Jersey (Englewood Cliffs): Prentice-Hall.
Copyright (c) 2025 Immaculate Abisacki Likuyi, Edwin Anakadi Buitya Juma, PhD

This work is licensed under a Creative Commons Attribution 4.0 International License.