Dam Sites Identification using Multi-Criteria Analysis and Spatial Weighted Overlay. The Case of Kapseret Sub-County, Kenya

  • Gladys Chelagat Biwott Moi University
  • Andrew Kiplagat, PhD University of Eldoret
  • Job K. Ngetich, PhD University of Eldoret
  • Emmanuel C. Kipkorir, PhD Moi University
  • Charles Kigen, PhD Moi University
Keywords: Spatial, Dam, Multi-Criteria Analysis, Weighted Overlay, Stormwater Harvesting
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Abstract

Water shortage is a common phenomenon in many parts of Kenya in the dry season, including the Kapseret Sub-County. However, water harvesting has seldom been practised, despite its high potential to alleviate water shortages in the dry season. This is largely influenced by a lack of access to dams and pans. The objective of this study was to identify potential dam sites for water harvesting in Kapseret Sub County, Uasin Gishu County, Kenya. Multiple criteria analysis and weighted overlay were performed on ArcGIS to map suitable sites for the location of dams. The multiple criteria considered in site suitability analysis were land use and land cover (LULC), slope, and proximity to streams, institutions, roads, and airports. Digital Elevation Model (DEM) of 30 m resolution was downloaded from the USGS website and used to process stream network, slope, and contours. Landsat 8 satellite imagery taken on January 2022 were downloaded from the USGS website and used to generate LULC data. It was established that the Kapseret basin has moderate to highly suitable zones for dam siting, covering 74.66% of the area with only 25.34% of the land being unsuitable. Further analysis using contours identified four potential dam sites with a combined capacity of 3,436,500 m3. The study concluded that the potential for water harvesting is high in the area as significant portions of the land are generally suitable for dam siting. It was recommended that action be taken by the county and other stakeholders to develop dams in suitable zones so as to increase access to water, particularly in the dry season when there are shortages

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References

Akram, F., Rasul, M., Khan, M., & Amir, M. (2014). A Review on Stormwater Harvesting and Reuse. International Journal of Environmental, Earth Science and Engineering, 8(3),178– 187.

Anwar, F. (2019). Managing Stormwater: Practices and Challenges for Reuse and Recycling.

Baba, A., Tsatsanifos, C., El Gohary, F., Palerm, J., Khan, S., Mahmoudian, S. A., & Angelakis, A. N. (2018). Developments in water dams and water harvesting systems throughout history in different civilisations. International Journal of Hydrology, 2(2), 150–166.

Buraihi, F. H., & Shariff, A. R. M. (2015). Selection of rainwater harvesting sites by using remote sensing and GIS techniques: a case study of Kirkuk, Iraq. Jurnal Teknologi, 76(15).

Cousins, J. J. (2018). Remaking stormwater as a resource: Technology, law, and citizenship. Wiley Interdisciplinary Reviews: Water, 5(5), e1300.

Critchley W & Siegert K (1991) A Manual for the Design and Construction of Water Harvesting Schemes for Plant Production. Food and Agriculture Organization of the United Nations, Italy.

Dandy, G. C., Marchi, A., Maier, H. R., Kandulu, J., MacDonald, D. H., & Ganji, A. (2019). An integrated framework for selecting and evaluating the performance of stormwater harvesting options to supplement existing water supply systems. Environmental Modelling & Software, 122, 104554.

Gallo, E., Bell, C., Mika, K., Gold, M., & Hogue, T. S. (2020). Stormwater Management Options and Decision-Making in Urbanized Watersheds of Los Angeles, California. Journal of Sustainable Water in the Built Environment, 6(2), 04020003. https://doi.org/10.1061/jswbay.0000905.

Kimani, M., Gitau A.N., & Ndunge, D (2015) Rainwater Harvesting Technologies in Makueni County, Kenya. International Journal of Engineering and Science, 5(2), 39-49. Issn (e): 2278-4721, Issn (p):2319-6483.

KNBS (2019) 2019 Kenya Population and Housing Census, Volume II: Distribution of Population by Administrative Units. KNBS, Nairobi.

Luthy, R. G., Sharvelle, S., & Dillon, P. (2019). Urban Stormwater to Enhance Water Supply. Environmental Science & Technology, 53(10), 5534-5542.

Mbilinyi, B. P., Tumbo, S. D., Mahoo, H., & Mkiramwinyi, F. O. (2007). GIS-based decision support system for identifying potential sites for rainwater harvesting. Physics and Chemistry of the Earth, Parts A/B/C, 32(15-18), 1074-1081.

Ministry of Agriculture, Livestock and Fisheries, MoALF (2017). Climate Risk Profile for Uasin Gishu County. Kenya County Climate Risk Profile Series. Nairobi, Kenya

National Academies of Sciences, Engineering, and Medicine, NASEM (2016). Using Graywater and Stormwater to Enhance Local Water Supplies: An Assessment of Risks, Costs, and Benefits. Washington, DC: The National Academies Press.

O’Connor, G. A., Elliott, H. A., & Bastian, R. K. (2007). Degraded Water Reuse: an Overview. Journal of Environmental Quality, 37(5) https://www.ncbi.nlm.nih.gov/pubmed/18765762.

Okedi J., Armitage N.P. (2019) Benefits of Real Time Control for Catchment Scale Stormwater Harvesting in Cape Town, South Africa. In: Mannina G. (eds) New Trends in Urban Drainage Modelling. UDM 2018. Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-99867-1_101.

Pathak, S., Garg, R. D., Jato-Espino, D., Lakshmi, V., & Ojha, C. S. P. (2019). Evaluating hotspots for stormwater harvesting through participatory sensing. Journal of Environmental Management, 242, 351–361.

Salehi, M. (2022). Global water shortage and potable water safety; Today’s concern and tomorrow’s crisis. Environment International, 158, 106936.

Sayl, K. N., Mohammed, A. S., & Ahmed, A. D. (2020). GIS-based approach for rainwater harvesting site selection. In IOP Conference Series: Materials science and engineering (Vol. 737, No. 1, p. 012246). IOP Publishing.

Setiawan, O., & Nandini, R. (2022) Identification of suitable sites for rainwater harvesting using GIS-based multi-criteria approach in Nusa Penida Island, Bali Province, Indonesia. In IOP Conference Series: Earth and Environmental Science (Vol. 1039, No. 1, p. 012010). IOP Publishing.

Uasin Gishu County (2018). County Integrated Development Plan (CIDP) 2018-2022.

UNESCO/UN-Water (2020). The United Nations world water development report 2020: water and climate change. Paris, UNESCO.

Wondimu, G. H., & Jote, D. S. (2020). Selection of rainwater harvesting sites by using remote sensing and GIS techniques: a case study of Dawa Sub Basin Southern Ethiopia. Am J Modern Energy, 6(4), 84-94.

Zamarrón-Mieza, I., Yepes, V., & Moreno-Jiménez, J. M. (2017). A systematic review of application of multi-criteria decision analysis for aging-dam management. Journal of Cleaner Production, 147, 217-230.

Published
15 June, 2023
How to Cite
Biwott, G., Kiplagat, A., Ngetich, J., Kipkorir, E., & Kigen, C. (2023). Dam Sites Identification using Multi-Criteria Analysis and Spatial Weighted Overlay. The Case of Kapseret Sub-County, Kenya. East African Journal of Environment and Natural Resources, 6(1), 166-177. https://doi.org/10.37284/eajenr.6.1.1250