Banjoko et al. (2025) Methodological survey for the estimation of groundwater artificial recharge

Identification

• Journal: Elsevier eBooks
• Year: 2025
• Date: 2025-11-28
• Authors: Bosun Banjoko, Oluwafisayomi G. Banjoko, Saeid Eslamian
• DOI: 10.1016/b978-0-443-29104-3.00015-x

Research Groups

• Obafemi Awolowo University, Ile-Ife, Nigeria
• University of London, London, United Kingdom
• Department of Water Science and Engineering, College of Agriculture, Isfahan University of Technology, Isfahan, Iran

Short Summary

This paper provides a comprehensive methodological survey for the estimation of artificial groundwater recharge, detailing its objectives, impacts, effective parameters, water sources, influencing factors, planning considerations, and various estimation techniques. It serves as a foundational resource for understanding and implementing artificial recharge schemes.

Objective

• To provide a comprehensive methodological survey and outline the key considerations and techniques for the estimation of artificial groundwater recharge.

Study Configuration

• Spatial Scale: Conceptual, with global applicability for artificial recharge schemes.
• Temporal Scale: Conceptual, applicable to long-term water resource management and planning.

Methodology and Data

• Models used: Discusses various estimation techniques including geospatial methods, remote sensing analysis, and artificial neural networks.
• Data sources: Synthesizes information from existing literature and conceptual frameworks related to groundwater artificial recharge.

Main Results

• The survey comprehensively defines artificial groundwater recharge, outlining its objectives, potential impacts, and effective parameters for site selection.
• It identifies various water sources for artificial recharge and details geological and hydrogeological factors influencing its success.
• The paper presents an overview of the advantages and shortcomings of artificial recharge systems.
• Key considerations for planning an artificial recharge scheme are highlighted, including environmental and social impact assessments, regulatory frameworks, pollution control, and basic requirements.
• Methodologies for estimating groundwater recharge potential are discussed, encompassing geospatial methods, remote sensing analysis, and artificial neural networks.

Contributions

• Provides a structured and comprehensive methodological survey of artificial groundwater recharge, consolidating diverse aspects from objectives and impacts to planning and estimation techniques.
• Serves as a valuable reference for practitioners and researchers by synthesizing current knowledge and outlining critical considerations for effective artificial recharge programs.

Funding

• Not specified in the provided text.

Citation

@article{Banjoko2025Methodological,
  author = {Banjoko, Bosun and Banjoko, Oluwafisayomi G. and Eslamian, Saeid},
  title = {Methodological survey for the estimation of groundwater artificial recharge},
  journal = {Elsevier eBooks},
  year = {2025},
  doi = {10.1016/b978-0-443-29104-3.00015-x},
  url = {https://doi.org/10.1016/b978-0-443-29104-3.00015-x}
}

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