IDEAS home Printed from https://ideas.repec.org/a/epw/ejgeo0/v5y2024i2id16421.html

Groundwater Potential Assessment in the Rural Loulouni Municipality (Southern Mali): Decision Tree Approach

Author

Listed:
  • Ta Marc Youan
  • Moussa Sangare
  • Salomon Obahoundje
  • Amandine Carine Njeugeut Mbiafeu
  • Satti Jean-Robert Kamenan
  • Kouadio Armel Kouame
  • Jean Patrice Jourda

Abstract

Groundwater is the main source of drinking water for the rural population in the municipality of Loulouni in southern Mali. The municipality is experiencing water shortages due to population growth and climate variability. The objective of this study is to identify potential groundwater areas to facilitate the construction of boreholes and to help decision-makers improve the rate of access to drinking water in this municipality. The data used consisted of cartographic data, hydroclimatic data, borehole data, and satellite images. The decision tree method was used to map potential groundwater areas with seven decision criteria: slope, effective infiltration, drainage density, fracture density, alteration thickness, geology, and land use. Borehole flows were overlaid on the potentiality maps for validation of the thematic maps. The excellent and good classes dominate with 74%, and the poor and mediocre potentiality classes are poorly represented with 26% of the total area of the municipality. This thematic map, which indicates the potential groundwater-rich area, can be used as an aid for future prospecting and the realization of water wells in the rural municipality of Loulouni.

Suggested Citation

  • Ta Marc Youan & Moussa Sangare & Salomon Obahoundje & Amandine Carine Njeugeut Mbiafeu & Satti Jean-Robert Kamenan & Kouadio Armel Kouame & Jean Patrice Jourda, 2024. "Groundwater Potential Assessment in the Rural Loulouni Municipality (Southern Mali): Decision Tree Approach," European Journal of Environment and Earth Sciences, European Open Science, vol. 5(2), pages 8-15, March.
    • Handle: RePEc:epw:ejgeo0:v:5:y:2024:i:2:id:16421
    DOI: 10.24018/ejgeo.2024.5.2.421
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejgeo/article/view/16421
    File Function: Abstract page
    Download Restriction: no
    File URL: https://eu-opensci.org/index.php/ejgeo/article/download/16421/3968
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.24018/ejgeo.2024.5.2.421?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Saro Lee & Chang-Wook Lee, 2015. "Application of Decision-Tree Model to Groundwater Productivity-Potential Mapping," Sustainability, MDPI, vol. 7(10), pages 1-17, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Karel Doubravský & Alena Kocmanová & Mirko Dohnal, 2018. "Analysis of Sustainability Decision Trees Generated by Qualitative Models Based on Equationless Heuristics," Sustainability, MDPI, vol. 10(7), pages 1-18, July.
    2. Sunmin Lee & Yunjung Hyun & Moung-Jin Lee, 2019. "Groundwater Potential Mapping Using Data Mining Models of Big Data Analysis in Goyang-si, South Korea," Sustainability, MDPI, vol. 11(6), pages 1-21, March.
    3. Seyed Hassan Mirhashemi & Mohammad Reza Karimi, 2026. "A Novel Integration of Decision Tree and K-Means for Enhanced Monthly Rainfall Forecasting and Variable Importance Ranking," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 40(4), pages 1-13, March.
    4. Aliasghar Azma & Esmaeil Narreie & Abouzar Shojaaddini & Nima Kianfar & Ramin Kiyanfar & Seyed Mehdi Seyed Alizadeh & Afshin Davarpanah, 2021. "RETRACTED: Statistical Modeling for Spatial Groundwater Potential Map Based on GIS Technique," Sustainability, MDPI, vol. 13(7), pages 1-18, March.
    5. Md. Mizanur Rahman & Faisal AlThobiani & Shamsuddin Shahid & Salvatore Gonario Pasquale Virdis & Mohammad Kamruzzaman & Hafijur Rahaman & Md. Abdul Momin & Md. Belal Hossain & Emad Ismat Ghandourah, 2022. "GIS and Remote Sensing-Based Multi-Criteria Analysis for Delineation of Groundwater Potential Zones: A Case Study for Industrial Zones in Bangladesh," Sustainability, MDPI, vol. 14(11), pages 1-25, May.
    6. Soyoung Park & Se-Yeong Hamm & Hang-Tak Jeon & Jinsoo Kim, 2017. "Evaluation of Logistic Regression and Multivariate Adaptive Regression Spline Models for Groundwater Potential Mapping Using R and GIS," Sustainability, MDPI, vol. 9(7), pages 1-20, July.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:epw:ejgeo0:v:5:y:2024:i:2:id:16421. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Support Team (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejgeo .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.