
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







Water resources are being subjected to unprecedented pressure due to population growth, urbanization,
industries, intensive farming and the increasing effects of global warming. These stressors are compromising the
quality and quantity of freshwater resources, escalating threats to human health, life forms, and to socio-
economic conditions. Traditional methods that consider hydrology, water quality, treatment technologies, and
resilience planning as stand-alone areas are increasingly less sufficient, since the development of one area is
often reliant on the development of the others. The present review synthesizes the recent studies that were
published within 2014-2025 in four interconnected pillars, namely: hydrological modelling and climate effects
study, water quality and transport of contaminants, water and wastewater treatment innovations, and integrated
management through resilience. The usefulness of integrated approaches is demonstrated in case studies
conducted in different areas such as Singapore, the Netherlands, California, and Africa, among others. The
review finds conclusively that combined solutions are the key to sustainable and resilient water future, because
only integrated development in the fields of hydrology, treatment, and resilience will guarantee water security
in the environment of growing uncertainty.
: Water quality, Hydrology, Wastewater treatment, Climate adaptation, Water resilience, Integrated
approaches

Water is fundamental to survival, ecological well-being, and economic growth of human beings (Kumar et al.,
2023). However, in the twenty-first century, water resources all over the world have never been as much
challenged. Over the last few decades, the swift population increase, urbanization, industrialization, and
intensive agriculture have led to the rise of water demand and has also diminished water quality due to pollution
and excessive use (Gude, 2015; Wang et al., 2024). Climate change also magnifies these problems by changing
the precipitation patterns, rising the number of severe weather events, and the severity of droughts and floods
(Brown et al., 2015; Gupta et al., 2024). All these stressors endanger the sustainability of freshwater resources
and cause severe threats to the health of the population, food security, and ecological integrity (Islam et al., 2025;
O’Donnell et al., 2024).
The solution to such complicated issues lies in the fact that the current approach to these issues is fragmented
and approach-specific, and the transition to integrated solutions should be made (Sivapalan et al., 2025).
Conventional approaches that treat hydrology, water quality, treatment technologies and climate adaptation as
independent systems do not fully embrace the interdependence of water systems (Nelson et al., 2023; Chu, 2022).
The purpose of this review is to synthesize across current research and offer a synthesis that spans across
hydrology, water quality, treatment technologies, and climate adaptation. The paper examines progress in these
four pillars to identify the ways in which integration can be used to enhance water resilience in the face of global
challenges (Sharvelle, 2022; Snow et al., 2023). The review relies on the literature published 2014-2025 in order
to define the new trends, recent innovations, unresolved gaps, and the prospects of future interdisciplinary
research (Dai, 2020; McKay, 2024). By doing that, it aims to educate scholars, policymakers, and practitioners
on the avenues of creating sustainable water systems that are adaptive and resilient (Mostafavi et al., 2023;
Edwards, 2024).

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
The conceptual basis of this review consists in the acknowledgment that water systems are all interconnected
and hydrology, water quality, treatment technologies, and resilience strategies are functioning components and
not separate domains. These areas have frequently been tackled in isolation in traditional approaches thereby
limiting effectiveness of interventions and resulting in disjointed results. In comparison, integrated framework
is focused on the feedback loops between the following pillars: hydrological forecasts is used in designing
treatment systems, performance of the treatment in terms of ecological and human health resiliency, and adaptive
governance is used to sustainability over time.

Integrated approaches in water management is the conceptual term used to describe the intention to incorporate
hydrological science, water quality monitoring, treatment technologies, and resilience strategies into one system
(Sivapalan et al., 2025; Kumar et al., 2023). In contrast with other methods that address them individually,
integration highlights the fact that natural processes and artificial systems are interrelated and should be
controlled as one (Gupta et al., 2024; McKay, 2024).

Historically, the discipline of water studies developed in silos. Hydrologists studied the dynamics of
precipitation-runoff and aquifer storage as well as surface water flow, but with minimal or no connection to
treatment or adaptation requirements (Zeng et al., 2023; McIntosh et al., 2023). Treatment engineers did not
consider hydrological variability and resilience in their designs and were working on such systems mostly to
remove contaminants (Gude, 2015; Dai, 2020). The policymakers placed too little attention on hydrological and
technological evidence by focusing on climate adaptation frameworks (Hagen, 2022; Edwards, 2024).
This disjointed method yielded solutions that were not aligned: such as, hydrological flood risk was neglected
in the construction of treatment plants, and hydrological models did not take into consideration the requirements
of treatment and governance (Condon et al., 2021; O’Donnell et al., 2024). A more integrated approach, in turn,
would couple all areas in the sense that hydrological forecasting is used to inform treatment planning, treatment
systems are used to enable resilience to climate stress, and scientifically based adaptation policies are made
based on this knowledge (Konar et al., 2024; Sharvelle, 2022).

The water system is disregarded as an integrated system where hydrological processes, pollutant transport,
treatment technologies, and resilience strategies interact with each other in an integrated perspective (Nelson et
al., 2023; Ma, 2022). The next line of action is hydrology, which defines the availability and quality of water
and treatment systems as engineered interventions, which preserve water resources and reclaim value (Snow et
al., 2023; Bradley et al., 2024). These components are overlapped by the resilience strategies to make sure that
the water system can survive and adjust to the extremes in the climate, floods, droughts, and even the event of
contamination (Mostafavi et al., 2023; Sivapalan et al., 2025).


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The diagram illustrates four interconnected pillars: Hydrology, Water Quality, Treatment, and Resilience. Arrows
between them represent feedback loops, showing how progress in one area reinforces the others. Climate
Adaptation is placed as an overarching layer spanning all four pillars, symbolizing its cross-cutting influence on
water system integration (Sivapalan et al., 2025; Wang et al., 2024; McIntosh et al., 2023).
This framework underscores that resilience is not achieved by advancing one pillar alone, but through
coordinated progress across hydrology, treatment, and policy dimensions (Wang et al., 2024; Chu, 2022).

Over the past few decades, mathematical science has made numerous advances in hydrology, especially in the
use of computational modeling, big data analytics, and satellite data. Physical models like SWAT, VIC, and
MODFLOW continue to be a basis of watershed hydrology and groundwater flow simulation, but are commonly
limited by parameter uncertainty and a lack of data (Brown et al., 2015; McIntosh et al., 2023). Recently, it has
been advanced with the incorporation of machine learning algorithms like long short-term memory (LSTM)
networks, which enhance prediction of rainfall-runoff and streamflow in different climatic conditions (Islam et
al., 2025; Nelson et al., 2023).

The use of hydrological modelling has been at the center of the water availability, runoff formation, and
watershed dynamics. Conventional frameworks, including the Soil and Water Assessment Tool (SWAT), Variable
Infiltration Capacity (VIC), and MODFLOW have been used to offer strong models of simulating surface and
subsurface processes (Brown et al., 2015; McIntosh et al., 2023). Nevertheless, the models tend to be limited by
parameter uncertainties and lack scalability in large basins.
The satellite remote sensing and global reanalysis data have become sources of unprecedented amounts of
hydrology data allowing to track almost real-time on a regional and even continental level (Andreadis & Clark,
2023; Zeng et al., 2023). The innovations have also enhanced water balance simulation, as well as aiding early
flood and drought prediction systems.




SWAT
Watershed hydrology & water
quality
Integrates land use &
management
Sensitive to calibration
uncertainty
VIC
Large-scale hydrology & climate
Captures land–atmosphere
interactions
Requires extensive
data
MODFLOW
Groundwater flow
Robust, widely applied
Weak in climate
extremes
LSTM
(AI) Streamflow prediction
Learns nonlinear dynamics
Needs large datasets
PARFLOW
Integrated surface–subsurface
hydrology
High-resolution 3D
simulations
Computationally
expensive


Climate change has a major impact on the processes of the global hydrological cycle: it increases the severity of
precipitation events and alters the evapotranspiration patterns and snowmelt regimes (O’Donnell et al., 2024;
Hagen, 2022). Increased floods and extended droughts are being recorded in many areas, weakening reliability
in water supply and ecosystem stability (Behrangi et al., 2020; Segura et al., 2020). The future risks are now
shown in detail in coupled climate-hydrology models under CMIP5 and CMIP6 scenarios, showing vulnerability
of semi-arid basins, coastal deltas and snow-fed catchments (Nelson et al., 2023; Gupta et al., 2024).

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
Surface water and groundwater are interdependent parts of the hydrological cycle, historical studies of which
have been segmented. It is becoming problematic due to the fact that these interactions between aquifers, rivers
and wetlands define the quality and availability of water (McIntosh et al., 2023; Edwards, 2024). As an
illustration, river base flow is maintained by the groundwater discharge in times of droughts, but excess
extraction and pollution diminishes this buffer (Chu, 2022; Al-Hashimi et al., 2021).
Now, with the development of modelling tools like ParFlow and MODFLOW, it is possible to simulate the
dynamics of coupled surface-subsurface systems to gain a better insight into the processes of recharge, discharge,
and contaminant transportation (Condon et al., 2021; Tsai, 2023). The tracer-based studies and isotopic tracing
also indicate recharge routes and routing times of different landscapes, which streamline more sustainable water
resource distribution (McKay, 2024; Nelson et al., 2023).

The quality of water is increasingly being posed by various traditional and emerging contaminants that are
making management strategies difficult to control and harmful to human health and the environment. Particularly
worrisome are emerging contaminants like per- and polyfluoroalkyl substances (PFAS), pharmaceuticals, and
microplastics due to their persistence, the ability to bio accumulate, and inability to be treated using traditional
methods (Ma, 2022; Bradley et al., 2024). PFAS are found in drinking water and groundwater systems, wastes
discharged into waterways via effluents, and microplastics are vectors of toxic substances and microbial
communities, which contributes to increasing ecological stress (Nguyen et al., 2024; Schramm et al., 2024).

Over the last few decades, there has been an increase in the emergence of contaminants that are of concern to
the water quality including per- and polyfluoroalkyl substances (PFAS), pharmaceuticals, and microplastics.
They are persistent and bioaccumulative with the possibility of being toxic and frequently found in trace amounts
that go undetected by traditional treatment systems (Wang et al., 2024; Chu, 2022). PFAS, in particular, are
extremely recalcitrant to degradation and have been found in groundwater and drinking water sources all over
the world (Ma, 2022; Bradley et al., 2024).

The nutrient loading of rivers, lakes, and coastal areas has persisted as eutrophication and harmful algal blooms
due to especially high levels of nitrogen and phosphorus (O’Donnell et al., 2024; Konar et al., 2024). The primary
sources include agricultural run-off, urban stormwater and insufficient treatment of wastewater. The water
quality is also compromised by the rapid transport of sediments, which land use change and deforestation tend
to speed up and make water turbid, smother, and carry the attached pollutants (Segura et al., 2020; McKay,
2024).
Riparian buffers and cover cropping are examples of best management practices (BMPs) that have been
extensively used, but their outcomes depend on watershed and climate conditions (Schramm et al., 2024;
Hathaway, 2017). Meta-analyses are now enabled by watershed modeling advances to estimate BMP
performance in regions and inform evidence-based policy-making (Gupta et al., 2024; Brown et al., 2015).

The reason that groundwater systems are particularly susceptible to contamination is because of their low rates
of recharge as well as their long contaminant residence times. Wide contamination issues are caused by industrial
wastes and agricultural pesticides and landfill effluents (McIntosh et al., 2023; Al-Hashimi et al., 2021). Of
special interest are PFAS, nitrate, and heavy metals, which are persistent and dangerous to human health (Chu,
2022; Tsai, 2023).
Pump-and-treat systems, in-situ bioremediation, and adsorption-based techniques are such remediation
strategies, although the latter tend to focus more on physical, chemical, and biological approaches, which are

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most effective together (Saifur and Gardner, 2021; Silva, 2023).

Monitoring of any contaminants is critical and timely in effective water quality management. Conventional
monitoring systems that are laboratory based, though very accurate, tend to be expensive and time-consuming.
The recent years are characterized by increased availability of real-time sensing and molecular diagnostic-based
tools to identify microbial and chemical contamination (Nguyen et al., 2024; Snow et al., 2023).
Remote sensing has become useful in tracking large-scale water quality parameters e.g. turbidity and chlorophyll
concentrations, which could be used as a proxy of nutrient and sediment loads (Andreadis and Clark, 2023; Zeng
et al., 2023). These technologies will enable the rapid interventions because it will be more proactive and
predictive and make monitoring easier.





PFAS
Persistent,
bioaccumulative
Adsorption (activated carbon,
resins), nanomaterials
Pharmaceuticals
(PPCPs)
Endocrine disruption,
ecosystem toxicity
Advanced oxidation,
membrane filtration
Microplastics
Vectors for pollutants,
ecological stress
Membrane separation,
coagulation/flocculation
Nitrate
Groundwater
contamination, health
risks
Bioremediation, denitrification
reactors
Heavy metals
Toxicity,
bioaccumulation
Adsorption, precipitation,
permeable reactive barriers


Innovation in water and wastewater treatment technologies has been very high in the past few years in order to
treat not only traditional pollutants but also new polluting substances. Activated sludge systems and biofilm
reactors have continued to be a key process in wastewater management, particularly when paired with chemical
treatment such as coagulation, chlorination, and advanced oxidation as a method to enhance efficiency and
expand contaminant destruction (Silva, 2023; Dai, 2020).

Wastewater management is still based on biological treatment procedures, especially activated sludge systems,
biofilm reactor, and anaerobic digestion (Butler, 2018; Gude, 2015). Such systems perform well in breaking
down organic matter and nutrients, but do not do well to eliminate emerging contaminants like pharmaceuticals
and PFAS. Integrations of biological treatment and chemical processes are also considered as a growing field to
cope with such limitations (Silva, 2023; Saifur and Gardner, 2021). Coagulation-flocculation, chlorination, and
the advanced oxidation methods have been established to be effective in disinfection and breaking down
contaminants (Chellam, 2025; Dai, 2020).

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
Carbon nanotubes, graphene oxide, and nano-zerovalent iron are nanotechnology-based materials that exhibit
high potential in adsorbing and degrading the emerging contaminants (Ma, 2022; Lanzarini-Lopes et al., 2021).
The materials are highly reactive and have high surface area, which is especially efficient in tackling PFAS,
microplastics, and pharmaceuticals (Bradley et al., 2024; Chu, 2022).
The application of advanced oxidation processes (AOPs) to treat recalcitrant organic contaminants, such as
ozonation, UV/H 2 O2, and photocatalysis, is becoming more popular, as it is able to treat water without harmful
residues (Snow et al., 2023; Moe, 2023).

Constructed wetlands (CWs) and other green infrastructure systems have become in popularity as low cost,
nature-based wastewater treatment and stormwater management (Biswal & Balasubramanian, 2022; Hathaway,
2017). CWs integrate physical, chemical, and biological activities to eliminate nutrients, pathogens, and
sediments, and also have co-beneficial properties, including the increase of biodiversity and carbon sequestration
(Chang, 2016; Schramm et al., 2024).
Green spaces like bio-retention systems, permeable pavements, and green roofs have also presented themselves
as effective tools of reducing stormwater pollution and peak flows (Hathaway, 2017; Konar et al., 2024).

Going to the models of the circular economy, water use becomes linear and therefore focuses on wastewater as
a resource instead of a waste product (Sharvelle, 2022; Gude, 2015). In developed treatment systems, wastewater
is becoming more and more reused to irrigate or in industries, and in some cases to drinkable water (Silva, 2023;
Moe, 2023).




Activated sludge &
biofilm reactors
Nutrient and organic
removal
Proven, widely used
Ineffective against
emerging
contaminants
Chemical oxidation
& coagulation
Disinfection,
pollutant removal
Effective, flexible
Byproduct formation,
cost
Nanotechnology
(CNTs, nZVI)
Emerging
contaminants
High reactivity,
versatile
Cost, environmental
risk of nanoparticles
Advanced oxidation
(UV, ozone,
photocatalysis)
Pharmaceuticals,
PFAS, pathogens
High efficiency, clean
residues
Energy-intensive,
scaling issues
Constructed wetlands
Nutrient &
stormwater treatment
Low-cost, co-benefits
Land requirement,
variable performance
Circular economy
(reuse & recovery)
Water reuse, resource
recovery
Promotes
sustainability
Regulatory & public
acceptance barriers


The need to develop resilience in water systems has risen with the exacerbation of flood, drought and coastal
risks by climate change. The approaches to adaptation are now integrated with engineering solutions, including

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groundwater banking, desalination, and wastewater reuse, along with the ecological ones like wetlands
restoration and afforestation that can increase the hydrological stability and co-benefits of the ecology (Mostafavi
et al., 2023; Edwards, 2024). The hybrid infrastructure combining grey defenses and green is gaining more and
more popularity in managing coastal and floodplain areas with the assistance of better hydrological modeling
and early-warning systems (Hagen, 2022; Zeng et al., 2023).

The water sector needs climate adaptation strategies, which are anticipatory, absorptive, and recuperative of
climate-related shocks of drought, flood, and heatwave (Hagen, 2022; O'Donnell et al., 2024). Some of the
strategies are to diversify the water supply sources (e.g. groundwater banking, desalination, and wastewater
reuse), enhance water efficiency, and adopt dynamic governance models that dynamically respond to new data
(Nelson et al., 2023; Edwards, 2024).
Adaptation techniques like wetland restoration and afforestation have also been shown to have a positive impact
on managing hydrological extremes in addition to providing co-benefits such as carbon sequestration (Schramm
et al., 2024; Chang, 2016).

The raising of the sea level, intensification of storms, and adjustments in the precipitation patterns have made
the areas of coastal and flood plain susceptible (Behrangi et al., 2020; Segura et al., 2020). The structural
defenses, e.g., levees and seawalls, do not lose their significance, yet combined strategies now focus on a hybrid
infrastructure, i.e. grey (engineered) and green (ecosystem-based) strategies (Biswal & Balasubramanian, 2022;
Hathaway, 2017).
Hydrological and climate models have become important in reducing the risk of disasters through the flood
forecasting and early warning systems because they work together with community preparedness (Condon et al.,
2021; Zeng et al., 2023). In the same vein, strategic land-use planning and managed retreat become controversial
yet some of the most needed actions in very vulnerable coastal areas (Edwards, 2024; Nelson et al., 2023).

The framework of the water-energy-food nexus underlines the fact that resiliency in water systems cannot be
established without considering interdependencies with energy and food production (Hoff, 2011; Sharvelle,
2022). As an example, the growth of irrigation enhances food security at the expense of aquifer depletion, and
energy-demanding desalination increases water availability at the cost of carbon emissions (Gude, 2015; Moe,
2023).
The recent works emphasize combined policies which maximize the trade-off between sectors, including
wastewater reuse to irrigate agricultural land, biogas extraction of the natural wastewater sludge, and desalination
with renewable energy sources (Snow et al., 2023; Bradley et al., 2024).

There are a number of real-life case studies which show efficacy of combined water management practices. The
Four National Taps Strategy in Singapore is a mixture of imported water, the local catchment water, the
desalination water, and the reclaimed waste water to form a more resilient water supply system (Tortajada, 2006;
Nguyen et al., 2024). Room for the River projects in the Netherlands combine flood risk management with
ecological restoration and city development, which provides a worldwide example of adaptive river basin
management (Edwards, 2024; Hagen, 2022).
Water-reuse-related projects in California can show how a circular economy model, together with highly
developed treatment methods, can reinforce water supply and climate resilience (Sharvelle, 2022; Silva, 2023).
The same pattern can be found in the use of African case studies to focus on community-based solutions to create

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resilience in semi-arid settings, combining hydrology, agriculture, and green infrastructure (McKay, 2024;
Schramm et al., 2024).

The diagram illustrates the interconnections between climate adaptation strategies, flood and coastal resilience,
and the water–energy–food nexus. Central to the figure is “Integrated Water Management,connected by arrows
to three pillars: (i) Engineering and Ecological Solutions, (ii) Governance and Policy, and (iii) Technological
Innovations. Case studies are represented as applied examples at the outer layer, showing how theory translates
into practice (Mostafavi et al., 2023; Konar et al., 2024; Edwards, 2024; Schramm et al., 2024).

The synthesis of integrated approaches highlights the balance between incremental and transformational
solutions in advancing water security. Incremental actions such as refining hydrological models, enhancing
monitoring systems, and improving treatment operations deliver near-term benefits but often fall short against
the scale of climate and pollution challenges (Brown et al., 2015; Hagen, 2022).

Interventions that can help achieve tangible near-term advantages are incremental actions, which include
enhancing the efficiency of operational processes in current treatment facilities, calibration of hydrological
models, and the development of monitoring networks (Brown et al., 2015). Nevertheless, when faced with
compound trends and accelerating stressors such as climate change, urban sprawl and the development of
intractable new contaminants, incrementalism is often not adequate to change system courses in deep uncertainty
(Hagen, 2022; Konar et al., 2024).
Transformational strategies, in their turn, are aimed at re-architecturing water systems fundamentally, such as
switching to models of circular water economies, mainstreaming nature-based solutions in place of grey
infrastructure only, and embedding advanced forecasting analytics across basin-wide management, actions that
have to be systemic investments, institutional changes, and multi-sector coordination (Sharvelle, 2022; Nelson
et al., 2023).

When hydrology, treatment and resilience are considered not as independent domains but as mutually reliant
aspects of a single adaptive system, since hydrological predictions directly regulate expectations with regards to
contaminant loads and treatment demands, and ecological and public-health outcomes in the downstream are
regulated by the performance of treatment systems (Condon et al., 2021; McIntosh et al., 2023). As an example,

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hydrological predictions of high resolution allow operators to anticipate the pulses of stormborne pollutants and
preemptively modify the configuration of treatment plants to reduce risk and increase cost-effectiveness (Gupta
et al., 2024).
On the other hand, infrastructure that is resilient and resistant to hydrological extremes, like flood-tolerant plant
placement and redundancy in vital systems, cushions the capacity to endure shocks in treatment capacity and
reduces the time to recuperate after an event occurs (Edwards, 2024; O’Donnell et al., 2024). Simply put, linkage
of hydrologic intelligence to adaptive treatment operations and resilience planning bridges feedbacks that would
permit vulnerability in one pillar to circulate through the system (Wang et al., 2024; Mostafavi et al., 2023).

It takes a multi-disciplinary journey to move past a lone success to a water security that is sustainable and that
incorporates scientific integration, technological scaling, governance reform, and meaningful community
involvement into one program of action (Silva, 2023; Snow et al., 2023). Scientifically, integration involves
interoperating modeling frameworks that connect hydrological forecasting, contaminant transport simulations
and resilience measures in such a way that model outputs can be directly operationalized in such a way as to
translate into operational decisions and policy signals (Condon et al., 2021; McIntosh et al., 2023).
Lastly, the social aspect cannot be an auxiliary one; participation in the community and active decision-making
enhance legitimacy, expose local knowledge that is critical to context-sensitive responses, and increase the
likelihood of long-term adoption of integrated action (Schramm et al., 2024; McKay, 2024). When all these
threads are strategically combined, integrated approaches have the most opportunities to go beyond pilot projects
and create systemic, long-lasting water quality and resilience improvements (Mostafavi et al., 2023; Wang et al.,
2024).

Despite rapid progress, several challenges hinder the full realization of integrated water management. Technical
limitations such as data gaps, model uncertainties, and the complexity of simulating coupled surfacesubsurface
interactions restrict predictive accuracy, especially in regions with sparse monitoring networks (McIntosh et al.,
2023; Zeng et al., 2023). Analytical difficulties with emerging contaminants like PFAS and microplastics further
complicate water quality management (Ma, 2022; Bradley et al., 2024).

Substantial technical constraints still exist despite recent improvements in hydrological modelling, treatment
technologies and resilience planning. Numerous hydrological frameworks are limited by parameterization
uncertainties, scale differences, and the lack of those complicated feedbacks between surface and subsurface
systems (Brown et al., 2015; McIntosh et al., 2023). Another essential bottleneck is the data scarcity, especially
in developing regions where the monitoring networks are few, and there are no long-term records of observations
(Gupta et al., 2024; Zeng et al., 2023).
The problem of data differences in quality, resolution, and availability impedes the incorporation of datasets into
predictive systems even in the presence of such datasets (Andreadis and Clark, 2023; Candon et al., 2021).
Besides that, newer contaminants, including PFAS and microplastics, are problematic to analyze due to the need
to use sophisticated equipment and provide inconsistent results across facilities (Ma, 2022; Bradley et al., 2024).
These constraints are going to be overcome through technical optimization and expansion of global monitoring
systems and data-exchange systems.

Technical innovation would not ensure increased water security in case socio-economic and governance issues
are not addressed. Poor long-term underinvestment in water infrastructure is a problem in many low- and middle-
income countries, which restricts their ability to implement modern treatment technologies or even resilience
strategies (Hagen, 2022; Chu, 2022). In a higher-income setting, the lack of an integrated approach is often
facilitated by strict institutional structures and divided governance where hydrology, water quality, and resilience

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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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