Evaluating the impact of emerging hydro-geophysical technologies on sustainable water resource management

Benard Ifeanyi Odoh 1, Ifeanyi Peter Ezealaji 1, * and Chetanna Jude Chukwuneke 2

1 Department of Geophysics, Faculty of Physical Sciences, Nnamdi Azikiwe University, Awka, Nigeria.
2 Department of Civil Engineering, Chukwuemeka Odumegwu Ojukwu University, Uli, Nigeria.
 
Review
International Journal of Science and Research Archive, 2024, 13(01), 1313–1317.
Article DOI: 10.30574/ijsra.2024.13.1.1756
Publication history: 
Received on 11 August 2024; revised on 22 September 2024; accepted on 24 September 2024
 
Abstract: 
Emerging hydrogeophysical technologies are revolutionizing the management of water resources, providing unprecedented insights and enhancing sustainability practices. This article examines recent advancements in hydrogeophysical methods, focusing on time-lapse electromagnetic techniques, unmanned aerial vehicles (UAVs), and artificial intelligence (AI). Through a comprehensive review of the literature and practical case studies, including notable implementations in Africa, the paper highlights how these innovations improve groundwater monitoring, resource management, and predictive capabilities. Time-lapse electromagnetic methods have achieved up to 1-meter resolutions, significantly enhancing groundwater mapping accuracy (Binley & Kemna, 2005). With their high-resolution remote sensing capabilities, UAVs have facilitated detailed hydrological surveys, while AI-driven analyses optimize groundwater predictions and management strategies (Rennie et al., 2021). The study presents a cost-benefit analysis showing a 20-30% reduction in operational costs and a 40% increase in data accuracy. Challenges such as technical limitations and high initial costs are discussed, alongside potential solutions and prospects. The findings underscore the transformative potential of these technologies for achieving sustainable water resource management, offering actionable insights for policymakers, researchers, and practitioners in the field.
 
Keywords: 
Water resources management; Hydrogeophysics; Time-lapse electromagnetic methods; Machine learning; Artificial intelligence; Remote Sensing; Unmanned Aerial Vehicles; Technological advancement.
 
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0