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Groundwater flow model of aquifer system, Kwale County, Kenya

Dataset title Groundwater flow model of aquifer system, Kwale County, Kenya
Dataset creators Nuria Ferrer, Universitat Politècnica de Catalunya
Albert folch, Universitat Politècnica de Catalunya
Daniel Fernàndez-Garcia, Universitat Politècnica de Catalunya
Mike Lane, Rural Focus Ltd
Dan Olago, University of Nairobi
Rob Hope, University of Oxford
Dataset theme Geoscientific Information
Dataset abstract

The download .rar file contains a groundwater model of the coastal aquifer in Kwale County, Kenya (ModelMuse Text File) produced by Dr Nuria Ferrer and Dr Albert Folch at the Universitat Politècnica de Catalunya. The model can be used to explore future climate and groundwater abstraction scenarios to provide management recommendations. The download does not include proprietary abstraction data from industry project partners, thus running the model provided here will not reproduce published research findings. The file named”np67IH.bhd” are the initial heads file required to run the model.

Dataset content dates 01/01/2010 – 30/11/2017
Dataset spatial coverage Kwale County, Kenya
Dataset supply format ModelMuse Text File stored in .rar file
Dataset language English-United Kingdom
Dataset discovery metadata record Discovery Link to the dataset's BGS Discovery Metadata record
Dataset publisher British Geological Survey
Dataset publication date 25th April 2020
Dataset digital object identifier(DOI) 10.5285/7bc176d9-88bc-4a46-93ff-5f283227bc23
Dataset citation text Ferrer, N., Folch, A., Fernàndez-Garcia, D., Lane, M., Olago, D., Hope, R. (2020). Groundwater flow model of aquifer system, Kwale County, Kenya (Dataset). British Geological Survey. https://doi.org/10.5285/7bc176d9-88bc-4a46-93ff-5f283227bc23
Constraints and terms of use This data set is available under Open Government Licence, subject to the following acknowledgement accompanying any reproduced materials: "Contains data supplied by permission of the Natural Environment Research Council [YEAR]".
Access the dataset https://www.bgs.ac.uk/services/ngdc/accessions/index.html#item130626
Further information

https://upgro.org/consortium/gro-for-good/

Also see published paper:
Ferrer, N., Folch, A., Lane, M., Olago, D., Odida, J., and Custodio, E., (2019). Groundwater hydrodynamics of an Eastern Africa coastal aquifer, including La Niña 2016-17 drought. Science of the Total Environment, 661: 575-597 https://doi.org/10.1016/j.scitotenv.2019.01.198