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Modelling the Influence of Groundwater Abstractions on the Water Level of Lake Naivasha, Kenya Under Data-Scarce Conditions

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  • Rick Hogeboom
  • Pieter Oel
  • Maarten Krol
  • Martijn Booij

Abstract

This study presents the state-of-the-art understanding of the data-scarce and hydrogeologically complex groundwater system of Lake Naivasha, Kenya, with the particular aim of exploring the influence groundwater abstractions have on Lake Naivasha’s water level. We developed multiple alternative but plausible parameterizations for a MODFLOW groundwater model, based on literature, existing models and available data, while trying not to over-complicate the model. In doing so, we illustrate a possible strategy of going about data-scarce regions in modelling in general. Processes encountered in the calibrated parameterizations show groundwater flows laterally from the escarpments to the valley floor and axially from the lake along the Rift, with a larger portion flowing out southward than northward. Extraction of groundwater interrupts the flow from the northwestern highlands to the lake, leading to a lake stage reduction of 0.7–7.5 cm due to abstractions at our target farm (Flower Business Park) or an implied 7–75 cm due to total groundwater abstractions in the area. Although this study demonstrates our understanding of Naivasha’s groundwater system remains fragile and the current model cannot be embedded in operational water management yet, it (i) reflects the contemporary understanding of the local groundwater system, (ii) illustrates how to go about modelling in data-scarce environments and (iii) provides a means to assess focal areas for future data collection and model improvements. Copyright The Author(s) 2015

Suggested Citation

  • Rick Hogeboom & Pieter Oel & Maarten Krol & Martijn Booij, 2015. "Modelling the Influence of Groundwater Abstractions on the Water Level of Lake Naivasha, Kenya Under Data-Scarce Conditions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(12), pages 4447-4463, September.
    • Handle: RePEc:spr:waterr:v:29:y:2015:i:12:p:4447-4463
    DOI: 10.1007/s11269-015-1069-9
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    1. Michel Le Page & B. Berjamy & Y. Fakir & F. Bourgin & L. Jarlan & A. Abourida & M. Benrhanem & G. Jacob & M. Huber & F. Sghrer & V. Simonneaux & G. Chehbouni, 2012. "An Integrated DSS for Groundwater Management Based on Remote Sensing. The Case of a Semi-arid Aquifer in Morocco," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(11), pages 3209-3230, September.
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    1. Mundetia, Nitika & Sharma, Devesh & Sharma, Aditya, 2024. "Groundwater sustainability assessment under climate change scenarios using integrated modelling approach and multi-criteria decision method," Ecological Modelling, Elsevier, vol. 487(C).

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