Water Management and Conservation Inspired by Prophetic Traditions: An Engineering Model for Sustainable Water Use
Abstract
Water management and conservation are critical challenges in the modern world, especially in regions facing water scarcity. Prophetic traditions provide valuable insights into sustainable water use, emphasizing conservation, moderation, and respect for natural resources. These traditions have long guided practices that promote efficient water management, which is increasingly relevant in the context of contemporary environmental challenges. This research aims to explore how the principles derived from prophetic traditions can inform engineering models for sustainable water use. The study utilizes a multidisciplinary approach, combining historical insights from Islamic teachings with modern engineering techniques to develop a model for efficient water management and conservation. Through case studies, qualitative analysis, and design simulations, this research evaluates the application of prophetic water conservation methods in modern water systems. The results demonstrate that integrating these practices, such as limiting water wastage, using water-efficient technologies, and promoting communal responsibility, can significantly enhance water conservation efforts in both urban and rural settings. The study concludes that a sustainable water management model inspired by prophetic traditions can effectively address current water scarcity issues while preserving ecological balance and fostering community awareness.
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References
Algburi, S., Mohammed, A., Fakhruldeen, H. F., Abdullah, I., Alhani, I., Khudhair, A., Hassan, Q., Ssebunya, M., & Jabbar, F. I. (2025). Optimization of multi-energy storage in urban building clusters. Results in Engineering, 26, 105427. https://doi.org/https://doi.org/10.1016/j.rineng.2025.105427
Algburi, S., Rendal, E., Jaber, Z. K., Fakhruldeen, H. F., Amjad, A., Sapaev, I. B., Farhan, T. T., & Barakat, M. (2024). Evaluating the Viability and Potential of Hybrid Solar-Wind Renewable Energy Systems in Relation to Geographical and Environmental Factors. Results in Engineering, 103473. https://doi.org/https://doi.org/10.1016/j.rineng.2024.103473
Alrehili, M. (2025). Stagnation flow of a nanofluid with rough surface and energy dissipation: A tangent hyperbolic model with practical engineering uses. Results in Engineering, 26, 104825. https://doi.org/https://doi.org/10.1016/j.rineng.2025.104825
Bin, X., & Thakur, J. (2025). Circular economy metrics for batteries: Enhancing sustainability in energy storage systems. Sustainable Production and Consumption, 55, 470–485. https://doi.org/https://doi.org/10.1016/j.spc.2025.02.014
CHERKAOUI, M., MOUHAT, O., & ROUGUI, M. (2025). Energy performance of Mediterranean tunnel greenhouses: Synergy between orientation, adjustable openings, and strategic shading. Results in Engineering, 28, 107257. https://doi.org/https://doi.org/10.1016/j.rineng.2025.107257
Das, A., & Bocken, N. (2024). Regenerative business strategies: A database and typology to inspire business experimentation towards sustainability. Sustainable Production and Consumption, 49, 529–544. https://doi.org/https://doi.org/10.1016/j.spc.2024.06.024
Diallo, I. D., Tilioua, A., Darraz, C., Alali, A., & Sidibe, D. (2023). Study and analysis of seasonal soil degradation in Lower Guinea and Forest Guinea. Results in Engineering, 19, 101381. https://doi.org/https://doi.org/10.1016/j.rineng.2023.101381
EL hannaoui, A., & Boutarfa, R. (2025). Prediction of heat transfer in a rotor-stator cavity cooled by multiple jets: Integration of CFD models and machine learning for performance optimization. Results in Engineering, 27, 106517. https://doi.org/https://doi.org/10.1016/j.rineng.2025.106517
Fernández-León, J., Keramati, K., Miguel, C., González, C., & Baumela, L. (2023). A deep encoder-decoder for surrogate modelling of liquid moulding of composites. Engineering Applications of Artificial Intelligence, 120, 105945. https://doi.org/https://doi.org/10.1016/j.engappai.2023.105945
Firoozi, A. A., Firoozi, A. A., Alashker, Y., & Ahmad, S. (2024). Advancing civil engineering: The transformative impact of neuromorphic computing on infrastructure resilience and sustainability. Results in Engineering, 24, 103487. https://doi.org/https://doi.org/10.1016/j.rineng.2024.103487
Guidani, B., Ronzoni, M., & Accorsi, R. (2024). Virtual agri-food supply chains: A holistic digital twin for sustainable food ecosystem design, control and transparency. Sustainable Production and Consumption, 46, 161–179. https://doi.org/https://doi.org/10.1016/j.spc.2024.01.016
Hasan, S., Islam Meem, A., Saiful Islam, M., Sabrina Proma, S., & Kumar Mitra, S. (2024). Comparative techno-economic analyses and optimization of standalone and grid-tied renewable energy systems for South Asia and Sub-Saharan Africa. Results in Engineering, 21, 101964. https://doi.org/https://doi.org/10.1016/j.rineng.2024.101964
Hegazy, B., Khodeir, L., & Fathy, F. (2025). Achieving socio-economic resilience in neighborhood through nature-based solutions: A systematic review. Results in Engineering, 25, 104266. https://doi.org/https://doi.org/10.1016/j.rineng.2025.104266
Hu, Z., Jagtap, A. D., Karniadakis, G. E., & Kawaguchi, K. (2023). Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition methodology. Engineering Applications of Artificial Intelligence, 126, 107183. https://doi.org/https://doi.org/10.1016/j.engappai.2023.107183
Javed, S., & Saha, S. (2023). Estimation of comprehensive thermal performance for conjugate natural convection inside a dome-shaped porous chamber holding a solid cylinder. Results in Engineering, 17, 100896. https://doi.org/https://doi.org/10.1016/j.rineng.2023.100896
K, A., Parveen K, H., V K, S., P, B., Muhammed, J., & Augustine, A. (2024). Mangroves in environmental engineering: Harnessing the multifunctional potential of nature’s coastal architects for sustainable ecosystem management. Results in Engineering, 21, 101765. https://doi.org/https://doi.org/10.1016/j.rineng.2024.101765
Kamyab, H., Khademi, T., Chelliapan, S., SaberiKamarposhti, M., Rezania, S., Yusuf, M., Farajnezhad, M., Abbas, M., Hun Jeon, B., & Ahn, Y. (2023). The latest innovative avenues for the utilization of artificial Intelligence and big data analytics in water resource management. Results in Engineering, 20, 101566. https://doi.org/https://doi.org/10.1016/j.rineng.2023.101566
Kandasamy, L., Mahendran, A., Sangaraju, S. H. V., Mathur, P., Faldu, S. V., & Mazzara, M. (2025). Enhanced remote sensing and deep learning aided water quality detection in the Ganges River, India supporting monitoring of aquatic environments. Results in Engineering, 25, 103604. https://doi.org/https://doi.org/10.1016/j.rineng.2024.103604
Karimi, M., & Simsek, H. (2025). Reducing carbon footprint in hydrothermal liquefaction through AI-optimized thermal recovery. Results in Engineering, 28, 107467. https://doi.org/https://doi.org/10.1016/j.rineng.2025.107467
Khudhair, Z. S., Zubaidi, S. L., Dulaimi, A., Al-Bugharbee, H., Muhsen, Y. R., Putra Jaya, R., Ridha, H. M., Raza, S. F., & Ethaib, S. (2024). Metaheuristic algorithms applied in ANN salinity modelling. Results in Engineering, 23, 102541. https://doi.org/https://doi.org/10.1016/j.rineng.2024.102541
Kolukula, S. S., & PLN, M. (2025). Enhancing observations data: A machine-learning approach to fill gaps in the moored buoy data. Results in Engineering, 26, 104708. https://doi.org/https://doi.org/10.1016/j.rineng.2025.104708
Konietzko, J., Das, A., & Bocken, N. (2023). Towards regenerative business models: A necessary shift? Sustainable Production and Consumption, 38, 372–388. https://doi.org/https://doi.org/10.1016/j.spc.2023.04.014
Korkua, S. K., Rittiphet, C., Sakphrom, S., Dash, S. K., Tesanu, C., & Thinsurat, K. (2025). Optimizing air velocity for energy-efficient and sustainable rubberwood drying kilns. Results in Engineering, 27, 105840. https://doi.org/https://doi.org/10.1016/j.rineng.2025.105840
Koyalil, A., & Rajalingam, S. (2025). Enhanced multi-level K-means clustering and cluster head selection using a modernized pufferfish optimization algorithm for lifetime maximization in wireless sensor networks. Results in Engineering, 27, 105836. https://doi.org/https://doi.org/10.1016/j.rineng.2025.105836
Li, N., Zhang, J., & Chen, J. (2025). Application of dunhuang decorative tile elements in children’s furniture based on symbolic duality and D4S Theory. Results in Engineering, 26, 105422. https://doi.org/https://doi.org/10.1016/j.rineng.2025.105422
Mahboobtosi, M., Gholami, A., & Ganji, D. D. (2025). Enhanced PCM Solidification in triplex-tube thermal energy storage with optimized configuration of branched-angled fins and Hybrid Nanofluid Integration. Results in Engineering, 27, 106214. https://doi.org/https://doi.org/10.1016/j.rineng.2025.106214
Mirmoshtaghi, S. P., Faghihabdollahi, S., & Mahmoudimehr, J. (2025). Performance superiority of a novel polymer electrolyte membrane fuel cell with inclined membrane electrode assembly. Results in Engineering, 27, 106199. https://doi.org/https://doi.org/10.1016/j.rineng.2025.106199
Mohammadi, F., Vakili-Nezhaad, G. R., Al-Rawahi, N., & Gholipour, S. (2023). Microbial electrochemical systems for bioelectricity generation: Current state and future directions. Results in Engineering, 20, 101619. https://doi.org/https://doi.org/10.1016/j.rineng.2023.101619
Mokhtari Karchegani, A., & Savari, M. (2025). Integrating the protection motivation model with place attachment theory to examine rural residents’ intentions toward low-carbon behaviors: Empirical evidence from Iran. Results in Engineering, 28, 107180. https://doi.org/https://doi.org/10.1016/j.rineng.2025.107180
Olayode, I. O., Severino, A., Alex, F. J., & Jamei, E. (2025). Traffic flow modelling of vehicles on a six lane freeway: Comparative analysis of improved group method of data handling and artificial neural network model. Results in Engineering, 25, 104094. https://doi.org/https://doi.org/10.1016/j.rineng.2025.104094
Pitakaso, R., Srichok, T., Khonjun, S., Golinska-Dawson, P., Sethanan, K., Nanthasamroeng, N., Gonwirat, S., Luesak, P., & Boonmee, C. (2024). Optimization-driven artificial intelligence-enhanced municipal waste classification system for disaster waste management. Engineering Applications of Artificial Intelligence, 133, 108614. https://doi.org/https://doi.org/10.1016/j.engappai.2024.108614
R, S., M, H., & Thangavelu, S. (2025). A cluster based routing for maximizing the lifetime of underwater wireless sensor network using gravitational search algorithm. Results in Engineering, 25, 104470. https://doi.org/https://doi.org/10.1016/j.rineng.2025.104470
Rehman, S., Menesy, A. S., Zayed, M. E., Zaery, M., Al-Shaikhi, A., Mohandes, M. A., Irshad, K., Kassas, M., & Abido, M. A. (2025). Synergistic sizing and energy management strategy of combined offshore wind with solar floating PV system for green hydrogen and electricity co-production using multi-objective dung beetle optimization. Results in Engineering, 25, 104399. https://doi.org/https://doi.org/10.1016/j.rineng.2025.104399
Samal, P., Nayak, N., Satapathy, A., & Bhuyan, S. K. (2025). Load frequency control in renewable based micro grid with Deep Neural Network based controller. Results in Engineering, 25, 103554. https://doi.org/https://doi.org/10.1016/j.rineng.2024.103554
Samini, M. A., Hashemi, A., & Asgari, A. (2024). The impact of thermal mass on envelope heat loss in the caldarium of Yazd’s traditional baths. Results in Engineering, 22, 102266. https://doi.org/https://doi.org/10.1016/j.rineng.2024.102266
Shaier, A. A., Elymany, M. M., Enany, M. A., Elsonbaty, N. A., Tharwat, M. M., & Ahmed, M. M. (2024). An efficient and resilient energy management strategy for hybrid microgrids inspired by the honey badger’s behavior. Results in Engineering, 24, 103161. https://doi.org/https://doi.org/10.1016/j.rineng.2024.103161
Sotorrío Ortega, G., Otero Seseña, S., Cobo Escamilla, A., & Tenorio Ríos, J. A. (2024). Assessment of industrialised construction through sustainability tools. Results in Engineering, 24, 103663. https://doi.org/https://doi.org/10.1016/j.rineng.2024.103663
Supriyanto, E., Rohman, A. T., Malakani, A. I., Ikhsanudin, I. Y., Wibowo, A., Suryantoro, M. T., Musthofa, A., Soewono, R. T., Helios, M. P., Nugraha, A. D., Deendarlianto, & Marta, A. S. D. (2025). Experimental study of flow characteristics in hydrodynamic and aerodynamic L-shaped and U-shaped oscillating water column chambers. Results in Engineering, 25, 103762. https://doi.org/https://doi.org/10.1016/j.rineng.2024.103762
Tang, X., Wang, Z., & Zhang, W. (2025). Mine roof water inflow prediction model for the initial mining disturbance stage based on simulation-driven feature selection and ensemble learning. Results in Engineering, 28, 106977. https://doi.org/https://doi.org/10.1016/j.rineng.2025.106977
Veeraperumal Senthil Nathan, J. P., Arumugam, M., Rajendran, M., Sourirajan, L., Vinayagam, G., Pisharam, A. A., Baskar, S., Stanislaus Arputharaj, B., Singh, S., Vafaeva, K. M., & Raja, V. (2025). Development of VTOL-configured unmanned aquatic vehicle for underwater welding applications: An innovative design and multi-perspective computational investigations. Results in Engineering, 25, 103740. https://doi.org/https://doi.org/10.1016/j.rineng.2024.103740
Wang, W., Tian, W., Zang, H., & Zhang, X. (2025). Comprehensive performance assessment of state-of-the-art metaheuristic algorithms for multi-scenario reservoir flood control optimization. Results in Engineering, 28, 107132. https://doi.org/https://doi.org/10.1016/j.rineng.2025.107132
Wang, Y., Bi, A., Yao, Y., Chen, W., Chen, K., Yu, S., Yu, J., Wang, C., Li, W., & Wang, S. (2025). Thermal analysis and multi-objective optimization of equal-area microfluidic cooling systems. Results in Engineering, 27, 105869. https://doi.org/https://doi.org/10.1016/j.rineng.2025.105869
Yi, H., Pang, A., Yang, W., Jiang, C., & Zhao, Q. (2025). Uncertainty prediction of EV load at multi-time scale based on a deep learning optimization model. Results in Engineering, 27, 106190. https://doi.org/https://doi.org/10.1016/j.rineng.2025.106190
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Copyright (c) 2025 Meny Sriwati, Nasser Qudah, Sebastian Koch

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