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PRWP

Reproducibility package for Mapping the Risk Posed to Groundwater-Dependent Ecosystems by Uncontrolled Access to Photovoltaic Water Pumping in Sub-Saharan Africa

2024
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Reference ID
RR_SSA_2024_246
DOI
https://doi.org/10.60572/1qx8-ep05
Author(s)
Guillaume Zuffinetti, Simon Meunier
Collections
World Bank Policy Research Working Papers
Metadata
JSON
Created on
Jan 23, 2025
Last modified
Jan 23, 2025
  • Project Description
  • Downloads
  • Overview
  • Reproducibility Package
  • Description
  • Scope and coverage
  • Disclaimer
  • Access and rights
  • Contacts
  • Information on metadata
  • Citation
  • Overview

    Abstract

    Photovoltaic-powered groundwater pumping offers a transformative solution for water services in underserved areas. However, without proper regulation, this technology could overexploit groundwater resources, threatening groundwater-dependent ecosystems (GDEs) which rely on them. Often overlooked in development planning and water allocation, GDEs yet hold significant socio-economic and environmental importance. This study maps the risk to sub-Saharan GDEs from uncontrolled access to photovoltaic groundwater pumping using the Analytic Hierarchy Process (AHP). It evaluates risks using data on irradiance, groundwater, population, and novel data on GDEs. Two scenarios are analysed to improve the robustness of the findings. Results show that 91% of sub-Saharan Africa’s GDEs risk overexploitation if photovoltaic water pumping is implemented without proper controls. GDEs in southern and eastern Africa, particularly South Africa and Namibia, are found to face higher risks, while those in Gabon, Congo, and southern Nigeria tend to be less at risk. Comparing these results with populations relying on unimproved water sources highlights regions like southern Nigeria and South Sudan which could be prioritized for potential photovoltaic water pumping system investments due to their higher groundwater development needs and lower risks to GDEs. Conversely, areas like Namibia and South Africa, with lower groundwater development needs but higher risks to GDEs, should require targeted investments and very close groundwater monitoring. These findings can help policymakers in targeting investments on PVWPS and identifying regions needing careful monitoring to ensure sustainable groundwater use and minimal impact on GDEs.

    Reproducibility Package

    Scripts
    Readme Get Reproducibility Package
    Link: https://reproducibility.worldbank.org/index.php/catalog/229/download/665/README.pdf
    Reproducibility package for Mapping the Risk Posed to Groundwater-Dependent Ecosystems by Uncontrolled Access to Photovoltaic Water Pumping in Sub-Saharan Africa
    Title
    Reproducibility package for Mapping the Risk Posed to Groundwater-Dependent Ecosystems by Uncontrolled Access to Photovoltaic Water Pumping in Sub-Saharan Africa
    Date
    2025-01
    Dependencies
    Matlab portion requires the Mapping Toolbox.
    Notes
    Computational reproducibility verified by the Development Impact (DIME) Analytics team, World Bank.
    Source code repository
    Repository name URI
    Reproducible Research Repository (World Bank) https://reproducibility.worldbank.org
    Software
    Matlab
    Name
    Matlab
    Version
    R2024a
    QGIS Desktop
    Name
    QGIS Desktop
    Version
    3.26.3

    Reproducibility

    Technology environment

    Paper exhibits were reproduced on a computer with the following specifications:
    – OS: Windows 10 Enterprise
    – Processor: Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz 2.90 GHz (2 processors)
    – Memory available: 32 GB
    – Software version: Matlab 2024a, QGIS 3.38 (replicators), QGIS 3.26.3 (authors)

    Technology requirements

    ~ 60 minutes

    Reproduction instructions

    To successfully run this package, follow these steps:

    1. Run getGHI code in MatLab
    2. Run the QGIS Project: Map_construction
      • Open the project Map_construction with QGIS and run the model. Further details are provided in the README file.
      • Note: During replication, some figures were not fully reproducible when this step was run, due to discrepancies in QGIS versions between the authors and the replicators. While the numerical differences were not drastic, they did impact the figures. The authors used version 3.26.3 of QGIS and the replicators verified that the differences were due only to the difference in version. Users should expect to replicate results if using QGIS version 3.26.3, but may find discrepancies if using later versions. This step does not need to be run, as the data generated by this step is already provided in the package. For more details, please refer to the reproducibility report and the README file.
    3. Run Main_AHP in MatLab
    4. Run the QGIS Project: Plot_results Open the project Plot_results with QGIS and follow the point-and-click instructions detailed in the README file.

    Data

    Datasets
    Global Horizontal Irradiance
    Name
    Global Horizontal Irradiance
    Note
    Source: Copernicus Atmosphere Monitoring Service (CAMS) Radiation Service. Access year: 2021. Location: Input_data/GHI/ghi_2020.h5
    Access policy
    Included in the reproducibility package
    License
    CAMS License Agreement and Privacy Statement
    License URL
    https://www.tsv.soda-pro.com/documents/10157/326300/CAMS-data-license.pdf/59241f5b-085d-4e79-bf42-1f19b0731d9f
    Data URL
    https://www.tsv.soda-pro.com/web-services/radiation/cams-radiation-service
    Groundwater productivity map
    Name
    Groundwater productivity map
    Note
    British Geological Survey. Bonsor, H. C., & MacDonald, A. M. (2011). An initial estimate of depth to groundwater across Africa. Access year: 2022. A readme file is also provided with the dataset. The groundwater productivity map is used to obtain the transmissivity map following the rules from Table 2 from Bonsor and MacDonald (2011). Location: Input_data/Raw_data/xyzASCII_gwprod_v1
    Access policy
    Included in the reproducibility package
    License URL
    https://www.bgs.ac.uk/legal-and-policy/terms-of-use/
    Data URL
    https://www2.bgs.ac.uk/groundwater/international/africanGroundwater/mapsDownload.html
    Groundwater storage map
    Name
    Groundwater storage map
    Note
    British Geological Survey. MacDonald, A. M., Bonsor, H. C., Dochartaigh, B. É. Ó., & Taylor, R. G. (2012). Quantitative maps of groundwater resources in Africa. Environmental Research Letters, 7(2), 024009. Access year: 2022. Location: Input_data\Raw_data\xyzASCII_gwprod_v1
    Access policy
    Included in the reproducibility package
    License URL
    https://www.bgs.ac.uk/legal-and-policy/terms-of-use/
    Data URL
    https://www2.bgs.ac.uk/groundwater/international/africanGroundwater/mapsDownload.html
    Africa Water Table Depth
    Name
    Africa Water Table Depth
    Note
    Source: Earth2Observe. Fan, Y., Li, H., & Miguez-Macho, G. (2013). Global patterns of groundwater table depth. Science, 339(6122), 940-943. The URL for this dataset no longer works, it was obtained directly by contacting the first author Y. Fan at yingfan@rci.rutgers.edu. Access year: 2022. Location: Input_data/Raw_data/WTD.tif.
    Access policy
    Included in the reproducibility package
    Data URL
    https://pubmed.ncbi.nlm.nih.gov/23430651/
    Reliance on unimproved water sources
    Name
    Reliance on unimproved water sources
    Note
    Source: Institute for Health Metrics and Evaluation. Access year: 2022. Location: Input_data/Raw_data/IHME_LMIC_WASH_2000_2017_W_UNIMP_NUMBER_UPPER_2017_Y2020M06D02. To obtain the data user can follow the link and select: Reliance on unimproved water sources > Number - 2017
    Access policy
    Included in the reproducibility package
    Data URL
    https://cloud.ihme.washington.edu/s/bkH2X2tFQMejMxy?path=%2F
    Groundwater in Times of Climate Change Data
    Name
    Groundwater in Times of Climate Change Data
    Note
    Source: World Bank. The Hidden Wealth of Nations: Groundwater in Times of Climate Change. Location: 1. Input_data/Raw_data/Aquifer_type. Variable name: Alluvial; Complexe; Karstic; Shallow; 2. Input_data/Raw_data/aqtyp_gwresource_grid05deg.gpkg; 3. Input_data/Raw_data/GDEs; Access year: 2022. Details: The data is associated with the World Bank report, “The Hidden Wealth of Nations: Groundwater in Times of Climate Change”. The report can be downloaded from the following link: https://www.worldbank.org/en/topic/water/publication/the-hidden-wealth-of-nations-groundwater-in-times-of-climate-change. The data will be published in the upcoming weeks. The replicators used the version of the data provided in the reproducibility package. The data is pending publication. URL will be provided once available.
    Access policy
    Included in the reproducibility package
    Data statement

    All data sources are publicly available and included in the reproducibility package.

    Description

    Output
    Mapping the Risk Posed to Groundwater-Dependent Ecosystems by Uncontrolled Access to Photovoltaic Water Pumping in Sub-Saharan Africa
    Type
    World Bank Policy Research Working Papers
    Title
    Mapping the Risk Posed to Groundwater-Dependent Ecosystems by Uncontrolled Access to Photovoltaic Water Pumping in Sub-Saharan Africa
    Authors
    Guillaume Zuffinetti, Simon Meunier
    Description
    Policy Research Working Paper (PRWP) 10935
    URL
    http://documents.worldbank.org/curated/en/099419309302454145/IDU17970fd3c1b6c4148521940c1908ba81aeae1
    DOI
    https://doi.org/10.1596/1813-9450-10935
    Authors
    Author Affiliation Email
    Guillaume Zuffinetti Université Paris-Saclay guillaume.zuffinetti@centralesupelec.fr
    Simon Meunier Sorbonne Université simon.meunier@centralesupelec.fr
    Date of production

    2024-12

    Scope and coverage

    Geographic locations
    Location Code
    Sub-Saharan Africa SSA
    Keywords
    Groundwater-dependent ecosystems, Photovoltaic water pumping systems Analytic Hierarchy Process Sustainable groundwater management Sub-Saharan Africa
    Topics
    ID Topic Parent topic ID Vocabulary Vocabulary URI
    Q25 Renewable Resources and Conservation: Water Q2 JEL Classifications
    Q42 Alternative Energy Sources Q4 JEL Classifications

    Disclaimer

    Disclaimer

    The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/the World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.

    Access and rights

    License
    Name URI
    Modified BSD3 https://opensource.org/license/bsd-3-clause/

    Contacts

    Contacts
    Name Affiliation Email
    Guillaume Zuffinetti Université Paris-Saclay guillaume.zuffinetti@centralesupelec.fr
    Reproducibility WBG World Bank reproducibility@worldbank.org

    Information on metadata

    Producers
    Name Abbreviation Affiliation Role
    Reproducibility WBG DIME World Bank - Development Impact Department Verification and preparation of metadata
    Date of Production

    2024-01-08

    Document version

    1

    Citation

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