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: |