
ISSN No. 2454-6194 | DOI: 10.51584/IJRIAS |Volume X Issue IX September 2025
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are divided into more than two agencies and little coordination takes place (Edwards, 2024; O’Donnell et al.,
2024).
The challenges are tough, but new opportunities are quickly coming up that are able to transform integrated
water management. Machine learning and artificial intelligence present specific opportunities to increase
predictive precision in hydrology, optimize the work of treatment plants, and identify anomalies in real time
(Islam et al., 2025; Nelson et al., 2023). The implementation of the Internet of Things (IoT), with its smart
sensors, networked monitoring platforms, etc., is facilitating continuous water quality measurement on a
previously unimaginable scale in both space and time (Nguyen et al., 2024; Snow et al., 2023).
Analytics with AI and IoT-enabled sensing when combined present the possibility of proactive and adaptive
management that minimizes risks prior to intensification. In addition to technology, further interdisciplinary
cooperation becomes the future. Combining the knowledge of hydrology, environmental engineering,
governance studies, and community-based research can produce comprehensive solutions that would facilitate
technical viability and social legitimacy (Mostafavi et al., 2023; McKay, 2024).
This review points out that combined strategies are needed to promote water quality and resiliency in the context
of global issues. Modelling and innovation of hydrology, big data, and new treatment methods- e.g.
nanotechnology, advanced oxidation, and constructed wetlands- present promising resources to tackle traditional
and new contaminants. Meanwhile, flood protection, coastal adaptation, and the water-energy-food nexus as
resilience frameworks show that multidisciplinary and cross-sector solutions are required.
Water security of the future cannot be realised with disjointed endeavours, but hydrology, treatment, and
resilience should operate as symbiotic structures. Although small changes add value, transformational solutions
such as the idea of a circular economy, nature-based solutions, and AI-led management offer higher long-term
potential. Going forward, the centralization of interdisciplinary integration, adaptive governance, global data
infrastructure and community participation is essential in shifting to sustainable and fair water futures.
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