Effects of leak detection system on reducing non-revenue water losses in Tanzania: A case of Rombo water supply and sanitation authority
DOI:
https://doi.org/10.51867/scimundi.6.2.10Palavras-chave:
Acoustic Sensors, DeLone and McLean IS Success Model, Non-Revenue Water, Smart Leak Detection, Sustainable Water Management, Water Loss Reduction, Water Utilities, Wireless NetworksResumo
For water utilities, non-revenue water (NRW) presents a serious problem that impacts both operational effectiveness and long-term financial viability. This study examines how NRW losses in ROMBOWSSA can be decreased by using wireless networks in conjunction with smart leak detection and acoustic sensors. The study employs DeLone and McLean IS Success Model to evaluate how technological performance directly mitigates water losses at ROMBOWASA. Population size was 30719 that includes customer/water users and employees (150) from ROMBOWSSA. The study used Random sampling to obtain a sample of 395 participants. The study employs cross sectional research design. Structured questionnaires were used to gather data, and multiple regression analysis and descriptive statistics were used for analysis. The results show that Smart Leak Detection is the most significant predictor of NRW reduction (B = 0.764, Beta = 0.764, p < 0.001), while Acoustic Sensors also contribute positively (Beta = 0.153, p < 0.001). Together, these technologies explain 76.4% of the variation in NRW reduction, highlighting their effectiveness in enhancing leak detection, timely repairs, and operational efficiency. The study concludes that adopting advanced leak detection systems is a practical strategy for minimizing water losses, optimizing resource allocation, and promoting sustainable water management in ROMBOWSSA and similar utilities. The study suggests that ROMBO-WASSA prioritize investment in leak detection systems, implement data analytics tools for predictive and real-time decision-making, and integrate smart metering with billing systems. It also suggests that staff members receive ongoing training and capacity building.
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Aboelnga, H. T., Ribbe, L., Frechen, F. B., & Saghir, J. (2019). Urban water security: Definition and assessment framework. Resources, 8(4), Article 178. https://doi.org/10.3390/resources8040178
Alharbi, K. (2026). Explainable AI for water leakage detection in urban water distribution networks using real and simulated data. Sustainability, 18(14), Article 7337. https://doi.org/10.3390/su18147337
Boyle, C., Ryan, G., Bhandari, P., Law, K. M., Gong, J., & Creighton, D. (2022). Digital transformation in water organizations. Journal of Water Resources Planning and Management, 148(7), Article 03122001. https://doi.org/10.1061/JWRMD5.WRENG-5523
DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9-30. https://doi.org/10.1080/07421222.2003.11045748
Einyu, R., Nakibuka, B., & Smith, R. (2025). Smart metering for non-revenue water reduction in emerging African cities: A pilot study. Water Practice & Technology, 20(11), 2265-2275. https://doi.org/10.2166/wpt.2025.142
Energy and Water Utilities Regulatory Authority. (2024). Annual report for the year ended 30 June 2024. EWURA.
Farah, E., & Shahrour, I. (2024). Water leak detection: A comprehensive review of methods, challenges, and future directions. Water, 16(20), Article 2975. https://doi.org/10.3390/w16202975
Fares, A., Tijani, I. A., Rui, Z., & Zayed, T. (2023). Leak detection in real water distribution networks based on acoustic emission and machine learning. Environmental Technology, 44(25), 3850-3866. https://doi.org/10.1080/09593330.2022.2074320
International Water Association. (2014). Performance indicators for water supply services. IWA Publishing.
Kibria, M. M., Dilshad, T., & Al Asek, A. (2022). Policy implications based on stakeholders' perceptions for integrated management of the Halda River: Bangabandhu Fisheries Heritage of Bangladesh. Water Policy, 24(3), 517-533. https://doi.org/10.2166/wp.2022.214
Lambert, A. (2003). Assessing non-revenue water and its components: A practical approach. Water, 21(2), 50-51.
Liemberger, R., & Marin, P. (2006). The challenge of reducing non-revenue water in developing countries: How the private sector can help-A look at performance-based service contracting. World Bank.
Liemberger, R., & Wyatt, A. (2019). Quantifying the global non-revenue water problem. Water Supply, 19(3), 831-837. https://doi.org/10.2166/ws.2018.129
Nain, N., Din, R., Wan Abdullah, W. A. N., & Mohd Farid, N. F. (2024). Review on leakage detection model of water distribution system for non-revenue water. International Journal of Innovation and Industrial Revolution, 6(16), 85-94. https://doi.org/10.35631/IJIREV.616006
Palermo, S. A., Maiolo, M., Brusco, A. C., Turco, M., Pirouz, B., Greco, E., Spezzano, G., & Piro, P. (2022). Smart technologies for water resource management: An overview. Sensors, 22(16), Article 6225. https://doi.org/10.3390/s22166225
Pan, D., Deng, Y., Yang, S. X., & Gharabaghi, B. (2025). Recent advances in remote sensing and artificial intelligence for river water quality forecasting: A review. Environments, 12(5), Article 158. https://doi.org/10.3390/environments12050158
Santos-Ruiz, I., López-Estrada, F.-R., Puig, V., Valencia-Palomo, G., & Hernández, H.-R. (2022). Pressure sensor placement for leak localization in water distribution networks using information theory. Sensors, 22(2), Article 443. https://doi.org/10.3390/s22020443
Shushu, U. P., Komakech, H. C., Dodoo-Arhin, D., Ferras, D., & Kansal, M. L. (2021). Managing non-revenue water in Mwanza, Tanzania: A fast-growing Sub-Saharan African city. Scientific African, 12, Article e00830. https://doi.org/10.1016/j.sciaf.2021.e00830
World Bank. (2016). Water supply and sanitation in Sub-Saharan Africa: Status, challenges, and the way forward. World Bank Group.
Zhang, L., Jiang, H., Zhang, J., Chen, H., Lu, H., Li, J., Hu, Z., & Xie, K. (2023). Acoustic model for leak detection of water supply pipeline. Journal of Pipeline Systems Engineering and Practice, 14(1), Article 04022049. https://doi.org/10.1061/(ASCE)PS.1949-1204.0000695
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Direitos de Autor (c) 2026 Christopher Venance, Eugen M. Justin

Este trabalho encontra-se publicado com a Creative Commons Atribuição-NãoComercial 4.0.








