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Groundwater potential assessment as a preliminary step to solving water scarcity challenges in Ekpoma, Edo State, Nigeria

Fidelis Odedishemi Ajibade, Olabanji Olatona Olajire, Temitope Fausat Ajibade, Olaolu George Fadugba, Temitope Ezekiel Idowu, Bashir Adelodun, Omobolaji Taofeek Opafola, Kayode Hassan Lasisi, James Rotimi Adewumi, Quoc Bao Pham

Research output: Contribution to journalArticlepeer-review

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Abstract

Water scarcity is a major challenge around the world, particularly in Ekpoma community, Edo State, Nigeria. The population depends on water vendors and reservoir tanks as a means of water supply. This study aims to make an assessment of groundwater potentials for effective and sustainable water resources management in Ekpoma. Seven criteria were considered to determine groundwater potentiality including slope, rainfall, land use, drainage density, distance to lineament, soil, and geology. According to their impact on groundwater, the parameters were grouped into fuzzy membership categories. The groundwater potentiality map was generated by overlaying the fuzzy members. Of the 101.2 km2 area of Ekpoma, the high, medium, and low potential zones cover 7.9, 6.4, and 85.7% of the total area, respectively. High and medium groundwater zones were identified mostly on the outskirt of the built-up areas. These groundwater potential areas were discovered to be predominant around the lineament areas suggesting that lineament plays a major role in the potential for groundwater in the study area. Reservoirs can be assigned in these high potential areas. Conclusively, the generated groundwater prospective map can be exploited for hydrological policy making and also by water supply engineers to predict the availability of groundwater.

Original languageEnglish
Pages (from-to)1367-1381
Number of pages15
JournalActa Geophysica
Volume69
Issue number4
Early online date2 Jun 2021
DOIs
Publication statusPublished - 31 Aug 2021

Acknowledgements

The authors acknowledge the technical support provided by the Centre for Space Research and Applications, Federal University of Technology, Akure, Nigeria.

Funding

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation
  2. SDG 15 - Life on Land
    SDG 15 Life on Land

Keywords

  • Fuzzy logic
  • GIS
  • Groundwater potential
  • Nigeria
  • Water scarcity

ASJC Scopus subject areas

  • Geophysics

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