Meta-Analysis of the Role of the Internet of Things in the Future of Urban Water Systems in Tehran Metropolis

Document Type : Applied Article

Authors

1 Department of Geography, Payame Noor University, Tehran, Iran.

2 Ph.D. in Geography and Urban Planning, Kharazmi University, Tehran, Iran.

Abstract
The Internet of Things (IoT), through real-time monitoring and data analysis, enhances the sustainability of urban water systems and guides cities towards smart management and sustainable water supply. In this regard, the present research study has been prepared with the aim of meta-analyzing the role of the Internet of Things in the future of urban water systems in Tehran metropolis. The research approach is a systematic and structural meta-analysis, which is applied in terms of objective and descriptive-analytical in terms of methodology, based on bibliometrics and Delphi. In the first part, through systematic analysis, 388 articles retrieved from the Scopus database were identified and analyzed using VOSviewer software. In the second, structural part, 14 key indicators were analyzed using the MICMAC technique, and future scenarios were identified with the Scenario Wizard software. The statistical population comprises experts in the fields of water and urban planning, from whom 60 individuals were selected as the statistical sample using purposive sampling. The results indicate the dominance of research output from India (30.9%), China (8.5%), and the United States (7.2%). The primary research areas investigated include water quality monitoring, leak detection, smart metering, and demand management, while future challenges encompass data security, privacy, and interoperability between systems. The results of the structural analysis showed that smart irrigation has the highest influence and water infrastructure monitoring has the highest susceptibility, highlighting the key role of technology and infrastructure in urban water management. The scenarios indicated that only through the synergy of smart technologies, data analysis, and cybersecurity can high efficiency and equitable access to water be achieved in Tehran metropolis. Therefore, future predictive analyses, increased connectivity, and IoT integration are essential for optimizing water resource management and ensuring its long-term sustainability.

Keywords

Subjects

ایزدی فر، محمدرضا. (1403). کاربرد هوش مصنوعی و اینترنت اشیا در نظارت و مدیریت منابع آب شهری.همایش بین‏المللی مدیریت محیط‏زیست شهری، شیراز. https://civilica.com/doc/2151651.
بشیری، سعید، بیات، بهرام، جمشیدی، شروین، و صالح‌زاده، رضا. (1400). تبیین ابعاد و مولفه‌های تاب‌آوری در مدیریت بحران آب (مورد مطالعه: شهر تهران). مطالعات بین‌رشته‌ای دانش راهبردی، 11(44)، 61-96.https://doi.org/20.1001.1.24234621.1400.11.44.3.2.
کورکی‌نژاد، محمدحسن، شمسی‌پور، علی‌اکبر، و حبیبی، کیومرث. (1402). رویکردی نوین در نگاشت نقشه‌های تحلیلی آب و هوای شهری: مطالعه موردی شهر تهران. فصلنامه علمی-پژوهشی اطلاعات جغرافیایی «سپهر»، 32 (127)، 77-94. https://doi.org/10.22131/sepehr.2023.552685.2865.
میرزایی، عزت‌الله، جلالی، عبدالله، جودکی، حمیدرضا، و اربابی سبزواری، آزاده. (1398). تحلیل میزان تاب‌آوری شهری در برابر بحران آب: مطالعه موردی شهر تهران. نشریه علمی شهر ایمن، 2(5)، 93-104. https://www.ispdrc.ir/article_705486.htm
نورمند، بهرضا. (۱۴۰۱). مروری بر کاربردها و چالش‌های اینترنت اشیا در مهندسی عمران (آب و سازه هیدرولیکی). نشریه آنالیز سازه - زلزله، ۱۹(2)، ۸۹–۹۶. https://doi.org/30495/10/civil.694268/2022
Adedeji, K. B., Ponnle, A. A., Abu-Mahfouz, A. M., & Kurien, A. M. (2022). Towards digitalization of water supply systems for sustainable smart city development—Water 4.0. Applied Sciences, 12(18), 9174. https://doi.org/10.3390/app12189174.
Adeleke, I. A., Nwulu, N. I., & Ogbolumani, O. A. (2023). A hybrid machine learning and embedded IoT-based water quality monitoring system. Internet of Things, 22, 100774. https://doi.org/1016/10/j.iot.100774/2023.
Adu-Manu, K. S., Tapparello, C., Heinzelman, W., Katsriku, F. A., & Abdulai, J.-D. (2017). Water quality monitoring using wireless sensor networks: Current trends and future research directions. ACM Transactions on Sensor Networks (TOSN), 13(1), Article 4, 1–41. https://doi.org/1145/10/3005719.
Alshami, A., Ali, E., Elsayed, M., Eltoukhy, A. E. E., & Zayed, T. (2024). IoT innovations in sustainable water and wastewater management and water quality monitoring: A comprehensive review of advancements, implications, and future directions. IEEE Access, 12, 58427–58453. https://doi.org/1109/10/ACCESS.3392573/2024.
Amador-Castro, F., González-López, M. E., Lopez-Gonzalez, G., Garcia-Gonzalez, A., Díaz-Torres, O., Carbajal-Espinosa, O., & Gradilla-Hernández, M. S. (2024). Internet of Things and citizen science as alternative water quality monitoring approaches and the importance of effective water quality communication. Journal of Environmental Management, 352, 119959. https://doi.org/1016/10/j.jenvman.119959/2023.
Boyle, C., Ryan, G., Bhandari, P., Law, K. M. Y., Gong, J., & Creighton, D. (2022). Digital transformation in water organizations. Journal of Water Resources Planning and Management, 148(7), 03122001. https://doi.org/1061/10/(ASCE)WR.1943-0001555/5452.
Cerasi, C. C., & Akturk, C. (2023). A bibliometric analysis of smart cities and the internet of things. Serbian Journal of Electrical Engineering, 20(1), 49–66. https://doi.org/2298/10/SJEE2301049C.
Chundru, S., Thirunagalingam, A., Maroju, P., Dutta, P. K., Yadav, H., & Whig, P. (2025). Internet of water: Quantifying Internet of Things' impact on urban water management and resource optimization in smart cities. IET Conference Proceedings, 2024(37). https://doi.org/1049/10/icp.0968/2025.
Dai, Z., Zhang, Q., Zhu, X., & Zhao, L. (2021). A comparative study of Chinese and foreign research on the internet of things in education: Bibliometric analysis and visualization. IEEE Access, 9, 130127–130140. https://doi.org/1109/10/ACCESS.3113805/2021.
Das, R. (2024). Smart urban water management: Integrating AI and IoT for optimization and waste reduction. OPT, 1(2). https://doi.org/22105/10/opt.v1i62/2.
Dharmarathne, G., Abekoon, A. M. S. R., Bogahawaththa, M., Alawatugoda, J., & Meddage, D. P. P. (2025). A review of machine learning and internet-of-things on the water quality assessment: Methods, applications and future trends. Results in Engineering, 26, 105182. https://doi.org/1016/10/j.rineng.105182/2025.
Doorn, N. (2021). Artificial intelligence in the water domain: Opportunities for responsible use. Science of the Total Environment, 755, 142561. https://doi.org/1016/10/j.scitotenv.142561/2020.
Hamel, P., Ding, N., Cherqui, F., Zhu, Q., Walcker, N., Bertrand-Krajewski, J.-L., Champrasert, P., Fletcher, T. D., McCarthy, D. T., Navratil, O., & Shi, B. (2024). Low-cost monitoring systems for urban water management: Lessons from the field. Water Research X, 22, 100212. https://doi.org/1016/10/j.wroa.100212/2024.
He, P., Almasifar, N., Mehbodniya, A., Javaheri, D., & Webber, J. L. (2022). Towards green smart cities using Internet of Things and optimization algorithms: A systematic and bibliometric review. Sustainable Computing: Informatics and Systems, 36, 100822. https://doi.org/1016/10/j.suscom.100822/2022.
Infant, S. S., Vickram, S., Saravanan, A., Muthu, C. M. M., & Yuarajan, D. (2025). Explainable artificial intelligence for sustainable urban water systems engineering. Results in Engineering, 25, 104349. https://doi.org/1016/10/j.rineng.104349/2025.
Jan, F., Min-Allah, N., & Düştegör, D. (2021). IoT based smart water quality monitoring: Recent techniques, trends and challenges for domestic applications. Water, 13(13), 1729. https://doi.org/3390/10/w13131729.
Kalyanam, A. K. (2023). Water management and its industrial impact (A comprehensive overview of water management and the role of IoT). Journal of Artificial Intelligence, Machine Learning and Data Science, 1(2), 1984–1989. https://doi.org/51219/10/JAIMLD/ashok-kumarkumaran/436.
Kiyan, A., Gheibi, M., Moezzi, R., & Behzadian, K. (2023). Smart dashboard of water distribution network operation: A case study of Tehran. Environmental Industry Letters, 1(1), 46–63. https://doi.org/15157/10/eil.1/2023.46/1-63.
Kulangara Velayudhan, N., Pradeep, P., Rao, S. N., Devidas, A. R., & Ramesh, M. V. (2022). IoT-Enabled Water Distribution Systems—A Comparative Technological Review. IEEE Access, 10, 101042–101070. https://doi.org/1109/10/ACCESS.3208142/2022.
Li, W., & Yang, Z. (2024). Landscape design of urban culture transmission based on the regional information security of Internet of Things. Heliyon, 10(15), e35042. https://doi.org/1016/10/j.heliyon.2024.e35042.
Mehmood, K., Kautish, P., Rashid, M., Joshi, Y., & Iftikhar, Y. (2025). Digitalization in the circular economy: Synergistic impact of big data analytics, green Internet of Things, and ambidextrous green innovation. Journal of Cleaner Production, 509, 145610. https://doi.org/1016/10/j.jclepro.145610/2025.
Mengash, H. A., Mahgoub, H., Alshuhail, A., Darem, A. A., Majdoubi, J., Yafoz, A., Alsini, R., & Alghushairy, O. (2025). Agricultural consumer Internet of Things devices: Methods for optimizing data aggregation. Alexandria Engineering Journal, 125, 692–699. https://doi.org/1016/10/j.aej.03/2025.134.
Mohammadi, S., Najafzadeh, M., Gheibi, M., Kian, Z., Takhtravan, A., & Aghlmand, R. (2021). Presenting a conceptual model of leakage management system in urban water supply network from two preventive and operational perspectives (Case study of Tokyo and Tehran metropolises). Annals of Environmental Science and Toxicology, 5(1), 051–058. https://doi.org/17352/10/aest.000037agriscigroup.us+2agriscigroup.us+2.
Mondal, P. (2024). AI and IoT in smart water management for urban sustainability. Uncertainty Discourse and Applications, 1(2), 151-157. https://doi.org/10.48313/uda.v1i2.36.
Naith, Q. H., & Mancy, H. (2025). An IoT-Enabled Hybrid DRL-XAI Framework for Transparent Urban Water Management. CMES - Computer Modeling in Engineering and Sciences, 144(1), 387–405. https://doi.org/32604/10/cmes.066917/2025.
Nasrinasrabadi, M., Hejazi, M. A., Chaharmahali, E., & Hussein, M. (2025). A comprehensive review of blockchain integration in smart grid with a special focus on Internet of Things. Energy Conversion and Management: X, 27, 101196. https://doi.org/1016/10/j.ecmx.101196/2025.
Obunga, P. O., Rwanga, S. S., & Dinka, M. O. (2025a). Comparative analysis on deployment of Internet of Things in management of non-revenue water in water distribution networks. Digital Water: Knowledge Application & Hydroinformatics, 3(1), 1–30. https://doi.org/1080/10/2025/28375807.2517573.
Obunga, P. O., Rwanga, S. S., Dinka, M. O., & Otieno, B. O. (2025b). Review of the emerging technologies in the water sector with a focus on the deployment of Internet of Things solutions. npj Clean Water, 8, 53. https://doi.org/1038/10/s41545-025-00487-x.
Okoli, N. J., & Kabaso, B. (2024). Building a smart water city: IoT smart water technologies, applications, and future directions. Water, 16(4), 557. https://doi.org/3390/10/w16040557.
Pagano, A., Garlisi, D., Tinnirello, I., Giuliano, F., Garbo, G., Falco, M., & Cuomo, F. (2025). A survey on massive Internet of Things for water distribution systems: Challenges, simulation tools, and guidelines for large-scale deployment. Ad Hoc Networks, 168, 103714. https://doi.org/1016/10/j.adhoc.103714/2024
Patel, A., Kethavath, A., Kushwaha, N. L., Naorem, A., Jagadale, M., K. R., S., & P. S., R. (2023). Review of artificial intelligence and Internet of Things technologies in land and water management research during 1991–2021: A bibliometric analysis. Engineering Applications of Artificial Intelligence, 123(Part B), 106335. https://doi.org/1016/10/j.engappai.106335/2023.
Patil, K. (2023). Integration of internet of things and blockchain technologies in healthcare: A bibliometric and network analysis. DESIDOC Journal of Library & Information Technology, 43(2), 126–133. https://doi.org/10.14429/djlit.43.2.18710.
Ramadhan, A. J. (2020). Smart water-quality monitoring system based on enabled real-time Internet of Things. Journal of Engineering Science and Technology, 15(6), 3514–3527. https://www.researchgate.net/publication/347443470.
Rao, C. K., Sahoo, S. K., & Yanine, F. F. (2025). A comprehensive review of smart energy management systems for photovoltaic power generation utilizing the Internet of Things. Unconventional Resources, 7, 100197. https://doi.org/1016/10/j.uncres.100197/2025.
Sheeba, R., Alsolai, H., Allafi, R., Nithya, K., Arasi, M. A., Karthikeyan, B., Sudarvizhi, D., & Vivek, S. (2025). A comprehensive IoT and blockchain-integrated framework for autonomous water management in sustainable urban ecosystems. Sustainable Computing: Informatics and Systems, 47, 101171. https://doi.org/1016/10/j.suscom.101171/2025.
Vadruccio, R., Scarpino, C., & Tumino, A. (2025). Unveiling Industrial Internet of Things potential for sustainable manufacturing: A Triple Bottom Line approach. Procedia Computer Science, 253, 1083–1092. https://doi.org/1016/10/j.procs.01/2025.170.
World Health Organization (WHO). (2022). State of the world’s drinking water: An urgent call to action to accelerate progress on ensuring safe drinking water for all. World Health Organization. Geneva, Switzerland.
Yuan, Z., Olsson, G., Cardell-Oliver, R., van Schagen, K., Marchi, A., Deletic, A., Urich, C., Rauch, W., Liu, Y., & Jiang, G. (2019). Sweating the assets – The role of instrumentation, control and automation in urban water systems. Water Research, 155, 381–402. https://doi.org/1016/10/j.watres.02/2019.034.
Zhang, J., Wang, Y., Yang, Y., Ma, Y., & Dai, Z. (2024). Fault diagnosis and intelligent maintenance of Industry 0/4 power system based on Internet of Things technology and thermal energy optimization. Thermal Science and Engineering Progress, 55, 102902. https://doi.org/1016/10/j.tsep.102902/2024.
Zorzenon, R., Lizarelli, F. L., & Braatz, D. (2025). The impact of the Internet of Things on health and safety performance at work: An empirical study of Brazilian companies. Safety Science, 187, 106866. https://doi.org/1016/10/j.ssci.106866/2025.
Zyoud, S. (2025). Exploring the promising role of Internet of Things in urban water systems: A comprehensive global analysis of insights, trends, and research priorities. Discover Internet of Things, 5, 31. https://doi.org/1007/10/s43926-025-00129-1.
Send comment about this article
Enter Name.
Enter a valid email address.
Enter a vaid affiliation.
Enter comments (At leaset 10 words)
CAPTCHA Image
Enter Security Code Correctly.
Volume 12, Issue 4 - Serial Number 38
Innovation and Technology in Water Management
Winter 2026
Pages 159-176

  • Receive Date 23 September 2025
  • Revise Date 05 November 2025
  • Accept Date 27 December 2025