Low-cost, in-situ groundwater monitoring methodology for data-scarce regions

Abba IBRAHIM, Aimrun WAYAYOK, Helmi Zulhaidi Mohd SHAFRI, Noorellimia Mat TORIDI, Wada Idris MUHAMMAD

Abstract. Groundwater is a vital resource for millions of people, especially in arid and semi-arid regions where surface water is scarce. Effective management of this resource requires accurate monitoring of groundwater levels. However, traditional monitoring methods are often costly and technically demanding, posing challenges in data-scarce regions. This study presents a low-cost, in-situ groundwater monitoring methodology tailored to northern Nigeria’s Hadejia-Jama’are River Basin (HJRB). The methodology involves community engagement and the use of simple, affordable tools to collect reliable groundwater-level data. Over one-year, weekly measurements were taken from 42 shallow wells across the basin, capturing seasonal and spatial variations. Statistical analysis of the data reveals a significant degree of variability in groundwater levels, as reflected in standard deviations (SDs) ranging from 5.27 to 5.69 across the months of 2023. This variability is influenced by seasonal shifts, geographical differences in recharge rates, and the groundwater abstraction activities. Areas of higher SD highlight regions with more dynamic water table conditions, which could complicate water resource management and necessitate localized management strategies. This in-situ data are intended for future validation of remote sensing-based groundwater models, aiming to enhance the accuracy of large-scale groundwater monitoring. The study demonstrated the significance of integrating low-cost monitoring techniques with advanced technologies to improve water resource management in data-scarce regions. Understanding the variability in groundwater levels, as indicated by the SDs, will allow for more accurate calibration of remote sensing models and better resource allocation. Recommendations for future research include refining the methodology, expanding its application to other regions, and sustaining community engagement to ensure long-term success.

Keywords
Groundwater Measurements, Open Shallow Wells, Geospatial Analysis, Spatial Interpolation, Groundwater Depth, Groundwater Level, Community Engagement, Hadejia-Jama’are River Basin

Published online 2/25/2025, 12 pages
Copyright © 2025 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA

Citation: Abba IBRAHIM, Aimrun WAYAYOK, Helmi Zulhaidi Mohd SHAFRI, Noorellimia Mat TORIDI, Wada Idris MUHAMMAD, Low-cost, in-situ groundwater monitoring methodology for data-scarce regions, Materials Research Proceedings, Vol. 48, pp 717-728, 2025

DOI: https://doi.org/10.21741/9781644903414-78

The article was published as article 78 of the book Civil and Environmental Engineering for Resilient, Smart and Sustainable Solutions

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

References
[1] G. Bennett, “Analysis of methods used to validate remote sensing and GIS-based groundwater potential maps in the last two decades: A review,” Geosystems and Geoenvironment, vol. 3, no. 1, 2024. https://doi.org/10.1016/j.geogeo.2023.100245
[2] A. Ibrahim, A. Wayayok, H. Z. M. Shafri, and N. M. Toridi, “Remote Sensing Technologies for Unlocking New Groundwater Insights: A Comprehensive Review,” J. Hydrol. X, vol. 23, no. August 2023, p. 100175, 2024. https://doi.org/10.1016/j.hydroa.2024.100175
[3] A. MacDonald, J. Davies, and B. É. Ó Dochartaigh, “Simple methods for assessing groundwater resources in low permeability areas of Africa,commissioned report,” Br. Geol. Surv., vol. CR/01/168N, no. July, p. 71, 2002. https://doi.org/10.13140/RG.2.2.26910.02880
[4] S. R. Rusli, A. H. Weerts, S. M. T. Mustafa, D. E. Irawan, A. Taufiq, and V. F. Bense, “Quantifying aquifer interaction using numerical groundwater flow model evaluated by environmental water tracer data: Application to the data-scarce area of the Bandung groundwater basin, West Java, Indonesia,” J. Hydrol. Reg. Stud., vol. 50, p. 101585, 2023. https://doi.org/https://doi.org/10.1016/j.ejrh.2023.101585
[5] K. G. Villholth, A. S. P. Manamperi, and N. Buergi, “Chemical characteristics of tsunami-affected groundwater and lagoon on the East Coast of Sri Lanka,” Sustain. Dev. Water Resour. Water Supply Environ. Sanit. Proc. 32nd WEDC Int. Conf., pp. 334–340, 2007.
[6] S. L. Speir et al., “Solutions to Current Challenges in Widespread Monitoring of Groundwater Quality via Crowdsensing,” Groundwater, vol. 60, 2021, [Online]. Available: https://api.semanticscholar.org/CorpusID:244490755
[7] A. S. Richey et al., “Quantifying renewable groundwater stress with GRACE,” Water Resour. Res., vol. 51, no. 7, pp. 5217–5238, 2015. https://doi.org/https://doi.org/10.1002/2015WR017349
[8] R. Prajapati et al., “Measuring the unseen: mobilizing citizen scientists to monitor groundwater in Nepal,” Environ. Monit. Assess., vol. 193, 2021, [Online]. Available: https://api.semanticscholar.org/CorpusID:236930926
[9] A. Calderwood, R. A. Pauloo, A. M. Yoder, and G. E. Fogg, “Low-Cost, Open Source Wireless Sensor Network for Real-Time, Scalable Groundwater Monitoring,” Water, 2020, [Online]. Available: https://api.semanticscholar.org/CorpusID:216520172
[10] D. P. Singh and A. K. Gosain, “Development of a Low-Cost Groundwater-Level Measuring Device,” in Rural Technology Development and Delivery, 2019, pp. 225–235.
[11] O. H. Kombo, S. Kumaran, and A. Bovim, “Design and Application of a Low-Cost, Low-Power, LoRa-GSM, IoT Enabled System for Monitoring of Groundwater Resources With Energy Harvesting Integration,” IEEE Access, vol. 9, pp. 128417–128433, 2021. https://doi.org/10.1109/ACCESS.2021.3112519
[12] M. Espinoza Ortiz, J. P. Apún Molina, S. I. Belmonte Jiménez, J. Herrera Barrientos, H. J. Peinado Guevara, and A. Santamaria Miranda, “Development of Low-Cost IoT System for Monitoring Piezometric Level and Temperature of Groundwater,” Sensors, vol. 23, no. 23, pp. 1–16, 2023. https://doi.org/10.3390/s23239364
[13] K. E. Little, M. Hayashi, and S. Liang, “Community‐Based Groundwater Monitoring Network Using a Citizen‐Science Approach,” Groundwater, vol. 54, 2016, [Online]. Available: https://api.semanticscholar.org/CorpusID:1741607
[14] J. Drage and G. W. Kennedy, “Building a Low‐Cost, Internet‐of‐Things, Real‐Time Groundwater Level Monitoring Network,” Groundw. Monit. Remediat., vol. 40, 2020, [Online]. Available: https://api.semanticscholar.org/CorpusID:225486113
[15] J. Chen, J. S. Famigliett, B. R. Scanlon, and M. Rodell, “Groundwater Storage Changes: Present Status from GRACE Observations,” Surv. Geophys., vol. 37, no. 2, pp. 397–417, 2016. https://doi.org/10.1007/s10712-015-9332-4.
[16] T. Babalola, P. G. Oguntunde, A. E. Ajayi, and F. O. Akinluyi, “Future Climate Change Impacts on River Discharge Seasonality for Selected West African River Basins,” 2021. https://doi.org/10.5772/intechopen.99426
[17] E. B. Barbier, “Upstream Dams and Downstream Water Allocation: The Case of the Hadejia-Jama’are Floodplain, Northern Nigeria,” Water Resour. Res., 2003. https://doi.org/10.1029/2003wr002249
[18] E. I. Olalekan, L.-H. M. Abimbola, S. Matemilola, and O. A. Damilola, “Wetland Resources of Nigeria: Case Study of the Hadejia-Nguru Wetlands,” Poult. Fish. Wildl. Sci., 2014. https://doi.org/10.4172/2375-446x.1000123
[19] Adamu Mustapha et al., “Overview Of The Physical And Human Setting Of Kano Region, Nigeria,” Res. J. Geogr. Vol. 1, No. 5, vol. 1, no. 5, pp. 4–6, 2014.
[20] A. I. Tukur, A. B. Nabegu, D. A. Umar, E. A. Olofin, and W. N. Azmin Sulaiman, “Groundwater condition and management in Kano region, Northwestern Nigeria,” Hydrology, vol. 5, no. 1, pp. 1–21, 2018. https://doi.org/10.3390/hydrology5010016