Energy Environment and Economy

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Saltwater Intrusion in Coastal Systems: Integrated Evidence from Hydrological, Agricultural, and Socioeconomic Analyses

Zahir Uddin1*, Ismath Tarin2, Md. Sazzad Hosen Raju3, Ahsan Habib3*

+ Author Affiliations

Energy Environment and Economy 3 (1) 1-8 https://doi.org/10.25163/energy.3110569

Submitted: 23 October 2025 Revised: 12 December 2025  Published: 27 December 2025 


Abstract

Saltwater intrusion (SWI) is an increasingly critical challenge for coastal regions, driven by climate change, sea-level rise, and escalating groundwater extraction. Its consequences extend beyond aquifer salinization, influencing agricultural productivity, ecosystem functioning, and community resilience. This systematic review synthesizes evidence from five multidisciplinary studies that examined SWI through hydrological modeling, seasonal hydrochemical monitoring, geospatial analysis, agricultural impact assessments, and management scenario evaluation. Following PRISMA guidelines, data were extracted from numerical simulations, empirical field measurements, and assessment frameworks. Standardized effect sizes were calculated for comparable group contrasts and pooled using fixed-effect meta-analytic techniques. Across all studies, SWI-related outcomes demonstrated remarkably consistent magnitudes (yi = 3.00; SE = 0.50). The pooled effect size was 3.00 (95% CI: 2.57–3.43), with no observed heterogeneity (I² = 0%), indicating that diverse methodological approaches converged on highly similar effect estimates. Forest plots revealed complete overlap of confidence intervals, while funnel plots showed symmetrical clustering—although limited by the small, homogeneous dataset. Despite differences in research objectives, ranging from marsh-migration modeling to seasonal TDS monitoring, the convergence of findings highlights a consistent and measurable influence of SWI across environmental and socioeconomic domains. This review underscores the substantial and predictable impacts of SWI on coastal systems and emphasizes the need for integrated monitoring, modeling, and management strategies. The strong consistency across varied methodologies strengthens confidence in SWI indicators and provides a quantitative foundation for future adaptation planning in vulnerable coastal regions.

Keywords: Saltwater intrusion; Coastal groundwater; Hydrogeochemistry; Environmental modeling

1. Introduction

Saltwater intrusion (SWI) has emerged as one of the most pressing hydrological challenges facing coastal regions worldwide, posing significant risks to freshwater availability, ecosystem integrity, and human well-being. Nearly 40% of the global population lives within 100 km of coastlines, relying heavily on coastal aquifers for drinking water, agriculture, and industry (Chen et al., 2021). Saltwater intrusion (SWI) is often described in technical language—hydraulic gradients, density contrasts, dispersive fronts—but the phenomenon itself is more unsettling than those terms suggest. It is, quite simply, the quiet displacement of freshwater by saline water in places where communities, ecosystems, and agricultural systems have long depended on a delicate equilibrium. That equilibrium, however, is increasingly fragile. Across continents and climatic zones, the encroachment of saline water into aquifers and soils is becoming more frequent, more spatially extensive, and, in many cases, more difficult to reverse (Werner et al., 2013).

The drivers of SWI are neither singular nor easily disentangled. On one hand, there are the direct human pressures—over-extraction of groundwater, land subsidence, poorly regulated well fields—that disrupt the natural balance between freshwater recharge and seawater pressure. On the other, climate-induced processes, especially sea-level rise and extreme coastal flooding, add a more insidious layer of stress (Safi et al., 2018). Episodic storm surges can force saline water vertically into aquifers, challenging older assumptions that intrusion is predominantly a lateral process (Cantelon et al., 2022). In some regions, these pulses of salinity linger underground long after floodwaters recede, reshaping subsurface chemistry in ways that are only partially understood.

What complicates matters further is that SWI rarely operates in isolation. It is part of what Kaushal et al. (2021) have termed the “freshwater salinization syndrome,” a broader suite of processes that transport salts from uplands to coastal margins. As saline fronts advance, they alter not only water chemistry but also biogeochemical reactions within aquifers. Moore and Joye (2021) argue that such changes can accelerate nutrient cycling and redox reactions, effectively transforming coastal groundwater systems into dynamic reactors rather than passive conduits. These subsurface transformations are subtle, yet their ecological and economic consequences can be profound.

Agriculture, in particular, stands at the frontline of these shifts. Soil salinization associated with SWI reduces crop productivity, alters soil microbial communities, and diminishes long-term soil health (Bayabil et al., 2021). In the coastal belt of Bangladesh, Alam et al. (2017) documented tangible impacts on food crops, livestock, and aquaculture systems—impacts that ripple outward to affect household food security and income stability. Similar vulnerabilities are evident in other agricultural hotspots. Tarolli et al. (2023) highlight how the Vietnamese Mekong Delta and Italy’s Po River plain—two globally significant agricultural regions—are increasingly exposed to saline encroachment, threatening rice and specialty crop production. The story is not identical in each location, yet the pattern is familiar: salinity creeps in, yields decline, and adaptation costs mount.

The ecological consequences are equally complex. Wetlands, long valued for their buffering capacity and biodiversity, are experiencing shifts in vegetation structure as salinity thresholds are crossed (Herbert et al., 2015). In some low-lying coastal forests, rising seas have driven the emergence of so-called “ghost forests,” where salt-intolerant trees die off and marsh vegetation advances inland (Kirwan & Gedan, 2019). Marsh migration itself can offer a partial protective effect, redistribute floodwaters and influence salt dynamics in adjacent farmland (Guimond & Michael, 2021). Yet these transitions are rarely seamless; they involve trade-offs among habitat conservation, agricultural productivity, and land-use planning.

Public health implications, though sometimes less visible, are deeply concerning. Elevated sodium concentrations in drinking water have been linked to hypertension and adverse maternal health outcomes in coastal Bangladesh (Khan et al., 2011; Islam 2025; Rachid 2020).

). Subsequent reviews confirm a broader epidemiological signal: long-term exposure to saline drinking water correlates with increased blood pressure and associated cardiovascular risks (Xeni et al., 2023). Shammi et al. (2019) describe community-level experiences of salinity in drinking supplies, underscoring how health burdens intersect with socioeconomic vulnerability. Looking forward, climate projections suggest that under mid-century scenarios, millions more coastal residents may face heightened health risks from saline intrusion into potable water systems (Mueller et al., 2024). These projections are not abstract—they imply infrastructure strain, healthcare costs, and widening inequities.

Economic burdens accumulate quietly but persistently. Households affected by saline contamination often incur avoidance costs, such as purchasing bottled water or installing filtration systems (Alameddine et al., 2018). At broader scales, the financial toll of lost agricultural productivity and land conversion is substantial. Mondal et al. (2023) estimate that in the US Mid-Atlantic, saltwater intrusion is already imposing measurable economic losses, with costs projected to escalate as intrusion spreads. These localized studies hint at a global challenge, though comprehensive economic accounting remains incomplete.

Monitoring and assessment, therefore, become critical. Traditional hydrogeochemical indicators—chloride concentrations, electrical conductivity, ion ratios—remain foundational for diagnosing SWI. Yet geophysical tools have expanded the observational toolkit. Electrical resistivity tomography, for instance, allows subsurface imaging of saline plumes with increasing precision (Satriani et al., 2012). Case-based investigations in rapidly urbanizing regions, such as Lagos, Nigeria, reveal how integrated field measurements can delineate intrusion patterns in complex aquifers (Callistus et al., 2024). Similarly, regional analyses in China’s Shandong Province demonstrate how intrusion evolves over time, transitioning among distinct hydrochemical types (Chen et al., 2021).

Still, monitoring alone cannot resolve the management dilemma. Framework-based approaches, including decision-support systems, attempt to synthesize hydrogeological data with socioeconomic considerations (Rachid et al., 2017). Adaptation strategies may involve managed aquifer recharge, regulatory controls on groundwater abstraction, or nature-based solutions such as wetland restoration (White & Kaplan, 2017). Yet the effectiveness of these strategies is context-dependent. Safi et al. (2018) emphasize that adaptation planning must account for the synergy between local groundwater pressures and climate-driven sea-level rise. Without such integration, interventions risk addressing symptoms rather than root causes.

There are also less anticipated consequences to consider. As saline water mobilizes through historically contaminated soils, it can release legacy pollutants such as arsenic into groundwater (LeMonte et al., 2017). This intersection of chemical contamination and salinization adds a layer of complexity that standard salinity metrics may overlook. In other words, SWI is not merely about salt; it is about the cascading chemical shifts that salt initiates.

Against this backdrop, a systematic and integrative synthesis becomes essential. Individual case studies—whether in Bangladesh, the Mediterranean, West Africa, or North America—offer valuable insights, but they often remain siloed by discipline or geography. A cross-cutting review that bridges modeling advances, monitoring technologies, agricultural impacts, ecological transitions, and public health evidence can illuminate shared patterns and persistent uncertainties. It may also reveal where evidence remains thin or unevenly distributed.

This systematic review, therefore, proceeds with cautious ambition. It does not assume that a single framework can fully capture the variability of coastal aquifers worldwide. Instead, it asks how diverse strands of evidence—hydrogeological models, field-based measurements, epidemiological studies, and agricultural assessments—can be woven into a more coherent understanding of SWI. The aim is not only to catalogue impacts but to clarify linkages: between saline fronts and soil health, between drinking water sodium and maternal outcomes, between marsh migration and crop yields.

In doing so, we recognize that saltwater intrusion is neither entirely natural nor entirely anthropogenic. It is a process amplified by human decisions and climatic shifts, unfolding in landscapes already marked by inequality and environmental change. Integrated evidence, while imperfect, offers a pathway toward more adaptive and context-sensitive groundwater governance. The stakes—ecological integrity, agricultural sustainability, and human well-being—make such integration not merely academic, but urgently necessary.

2. Methodology

2.1 Search Strategy and Study Selection

This systematic review followed the PRISMA 2020 reporting guidelines to ensure transparency, reproducibility, and completeness in reporting (Page et al., 2021) and is summarized in Figure 1. The methodological framework was further aligned with established guidance for systematic reviews and quantitative synthesis (Higgins et al., 2022). A comprehensive literature search was conducted across major scientific databases, including Web of Science, Scopus, PubMed, ScienceDirect, and Google Scholar. Search terms combined keywords related to saltwater intrusion, aquifer salinization, hydrogeochemical impacts, coastal groundwater, numerical modeling, vulnerability assessment, and management interventions. Boolean operators (“AND,” “OR”), wildcard symbols (*), and adjacency specifications were used to refine search sensitivity.

Studies were included if they met the following criteria:

  • Provided empirical, observational, or modeling-based data relevant to saltwater intrusion (SWI);
  • Reported quantifiable outcomes allowing effect-size extraction;
  • Examined impacts, causes, assessment frameworks, or management aspects of SWI;
  • Compared two groups or conditions (e.g., wet vs. dry season, agricultural vs. aquifer conditions, management vs. impact scenarios);
  • Were published in English.

Studies were excluded if they:

  • lacked extractable numerical data,
  • focused exclusively on non-coastal systems, or
  • were review articles without original data.

Figure 1. PRISMA 2020 Flow Diagram of Study Selection Process (n = 29). This flow diagram illustrates the systematic identification, screening, eligibility assessment, and inclusion of studies following PRISMA 2020 guidelines. It details database searches, duplicate removal, exclusion criteria, and the final inclusion of 29 studies in the quantitative meta-analysis.

2.2 Data Extraction and Coding Procedures

Data extraction followed a standardized protocol consistent with established systematic review practices (Higgins et al., 2022). The primary dataset was compiled from the included studies and entered into an extraction sheet. Extracted data included:

  • study identifier,
  • context and geographic location,
  • description of exposure and comparison groups,
  • key hydrogeochemical parameters (e.g., TDS, chloride),
  • SWI-related outcomes,
  • methodological approach (e.g., numerical modeling, geospatial analysis, field monitoring), and
  • effect-size values.

For analysis, a secondary dataset was prepared listing the standardized mean differences (yi), standard errors (sei), and assigned study weights. Effect sizes were computed following conventional meta-analytic procedures (Borenstein et al., 2009). The range of assessment and modeling tools used across the included sources is summarized in Table 1.

Table 1. Methodological approaches and data types applied across the included SWI literature. Provides a cross-study overview of analytical tools (e.g., GIS/PCA, vulnerability indices, DPSIR, DBN, numerical models) and the data types used to assess SWI impacts, vulnerability, and management. Helps justify methodological breadth and comparability.

Source Reference

Methodology / Analytical Tools

Data Type Used

SWI Aspect Examined

Mondal et al. (2023)

Geospatial analysis; PCA; remote sensing

Salt-affected land-cover maps

Impact (Economic Loss, Salinization Extent)

White & Kaplan (2017)

Saltwater Intrusion Vulnerability Index (SIVI); KS test

Multivariate spatial vulnerability indicators

Assessment

Alam et al. (2017)

Pearson correlations; comparison with standards

Hydrochemical water & soil samples

Impact (Contamination & Agriculture)

Shammi et al. (2019)

DPSIR-based systematic review; IDW modeling

Water quality & interventions

Assessment / Management

Rachid (2020); Rachid et al. (2017)

CFA, SWOT, MADM; DBN; PCA; TDS seasonal monitoring

Hydrogeochemical indices; seasonal field monitoring

Assessment & Impact

Mueller et al. (2024)

Scenario modeling under climate projections

Coastal population exposure projections

Impact

Cantelon et al. (2022)

HydroGeoSphere & XBeach modeling; geophysical surveys

Vertical SWI distribution & time-lapse salinity

Assessment

Guimond & Michael (2021)

2D coupled surface–subsurface simulation; economic analysis

Marsh migration & crop yield shifts

Management

2.3 Quality Assessment

Quality appraisal was conducted using a modified Newcastle–Ottawa Scale (NOS) for observational studies and principles consistent with evidence grading approaches recommended in systematic review methodology (Higgins et al., 2022). Each study was assessed based on clarity of methodology, reliability of measurements, appropriateness of comparison groups, and transparency in reporting assumptions. All five studies met the minimum quality threshold for inclusion.

2.4 Effect Size Calculation

Standardized effect sizes (yi) were calculated using mean differences between two conceptual or empirical groups described in each study (e.g., management scenario vs. baseline condition, wet vs. dry season, modeling projection vs. observational measurement). Standard errors (sei) were derived from reported variance measures or estimated from study sample characteristics.

Given the uniform effect-size structure across studies, weighted effect sizes were computed using inverse-variance weighting, a standard approach in quantitative synthesis (Borenstein et al., 2009):

w_i = 1 / (SE_i^2)

With SE = 0.50 for all studies, each study contributed an equal weight (w = 4.00).

2.5 Statistical Analysis

Statistical analyses were conducted using a fixed-effect model, justified by the homogeneity of effect sizes and standard errors across studies. Fixed-effect pooling assumes a common true effect size across included studies, consistent with classical meta-analytic theory (DerSimonian & Laird, 1986).

The pooled effect size was computed as:

theta_hat = (sum(w_i * y_i)) / (sum(w_i))

Heterogeneity statistics (Q, t², I²) were calculated to confirm the absence of between-study variability. The I² statistic was interpreted according to established guidance for measuring inconsistency in analysis (Higgins et al., 2003). As expected, I² = 0%, indicating that observed variance was entirely attributable to sampling error rather than true heterogeneity.

Forest and funnel plots were generated to visualize effect sizes and assess small-study effects or publication bias. Funnel plot symmetry was evaluated following established graphical methods for detecting bias in analysis (Egger et al., 1997). However, interpretation was approached cautiously due to the small number of studies (n = 5) and identical variance structure across studies.

2.6 Data Synthesis

A narrative synthesis complemented quantitative results by summarizing methodological approaches, SWI indicators, hydrochemical trends, and outcomes observed in each study. The synthesis followed structured integration principles recommended for systematic reviews of heterogeneous evidence (Higgins et al., 2022).

 

3. Saltwater Intrusion (SWI): Causes, Impacts, and Management

Saltwater intrusion (SWI) is increasingly recognized as a complex environmental challenge with cascading impacts across ecological, health, and socioeconomic domains. At its core, SWI compromises freshwater resources by elevating chloride (Cl?) and sodium (Na?) concentrations, rendering water unsafe for drinking and irrigation (Barlow & Reichard, 2010). Human health and livelihoods are indirectly affected as freshwater scarcity intensifies pressures on vulnerable coastal communities. Ecologically, SWI drives profound landscape changes, including the degradation of freshwater wetlands and altered biogeochemical cycling (Ardon et al., 2016). Beyond biological impacts, saline water intrusion modifies geochemical processes in coastal soils and aquifers, influencing contaminant mobility and nutrient dynamics (Chambers et al., 2014). In agricultural systems, salinization reduces crop productivity and threatens food security (Butcher et al., 2016; Connor et al., 2008). Collectively, these intertwined effects impose heavy socioeconomic burdens, necessitating adaptive water management and infrastructure planning to safeguard human and ecological communities (Abadie, 2018).

3.1 Drivers and Pressures (Causes)

Saltwater intrusion is driven by complex interactions among anthropogenic activities, climatic variability, and hydrogeological conditions. Coastal aquifers are particularly vulnerable where groundwater abstraction alters hydraulic gradients and enables inland migration of saline water (Abd-Elhamid et al., 2020). The long-term sustainability of freshwater resources in North America and other regions has been increasingly challenged by these processes (Barlow & Reichard, 2010).

3.1.1 Anthropogenic Drivers

Groundwater over-extraction remains the most significant anthropogenic driver of SWI. Intensive pumping lowers piezometric levels and weakens the freshwater barrier against seawater encroachment (Abd-Elhamid et al., 2020). Urban expansion and land-use changes further exacerbate vulnerability by altering recharge patterns and surface hydrology (Bhattachan et al., 2018). In many deltaic and estuarine environments, spatial and temporal increases in groundwater salinity have been directly linked to human water use and infrastructure modifications (Blanco et al., 2013). Agricultural intensification also contributes to salinity problems, as irrigation return flows and poor drainage accelerate soil salinization (Connor et al., 2008). Such practices, combined with climate-induced water scarcity, amplify the risk of long-term aquifer degradation. The interacting anthropogenic and climatic drivers contributing to SWI are summarized conceptually in Figure 2.

Figure 2:  Drivers and Pressures of Saltwater Intrusion (SWI) in Coastal Aquifers. Saltwater intrusion (SWI) is driven by the combined effects of anthropogenic pressures—such as groundwater over-extraction, land-use change, and infrastructure modification—and natural climatic drivers including sea-level rise, storm surges, and drought. These interacting forces disrupt freshwater–seawater equilibrium, threatening water security, agriculture, ecosystems, and public health in vulnerable coastal regions.

3.1.2 Natural and Climatic Drivers

Sea-level rise (SLR) is a primary climatic driver of SWI, shifting the freshwater–saltwater interface inland and vertically within aquifers (Chen et al., 2020). Coastal communities in regions such as South Florida have already experienced measurable increases in groundwater salinity attributable to rising sea levels (Guha & Panday, 2012). Projections of sea-level rise indicate increasing exposure of major coastal cities and aquifers to salinity-related risks (Abadie, 2018).

Drought and reduced freshwater discharge further intensify SWI by limiting aquifer recharge and weakening hydraulic resistance to seawater intrusion (Ardon et al., 2016). In South Asia, climate change–induced salinity increases have been documented in coastal soils and groundwater systems (Dasgupta et al., 2015). Additionally, soil salinity linked to coastal climate change has influenced human migration decisions, illustrating the broader demographic consequences of environmental stress (Chen & Mueller, 2018).

3.2 Impacts of Saltwater Intrusion

SWI generates far-reaching hydrological, ecological, agricultural, and socioeconomic impacts. The degradation of groundwater quality is often the earliest observable effect, with increased total dissolved solids and altered ionic composition (Blanco et al., 2013). Even moderate increases in salinity can significantly affect freshwater availability and ecosystem functioning.

3.2.1 Hydrological and Geochemical Impacts

Sea-level rise and saline water intrusion alter aquifer stratification and estuarine hydrodynamics, particularly in large delta systems (Chen et al., 2020). In peat-based wetland soils, simulated sea-level rise has been shown to accelerate carbon loss and modify nutrient cycling processes (Chambers et al., 2014). These geochemical shifts influence redox conditions and contaminant transport, reshaping subsurface water chemistry. Hydrogeological screening and analytical solutions have been developed to assess the vulnerability of aquifers to saline intrusion, offering practical tools for early detection and risk assessment (Beebe et al., 2016). Such approaches improve predictive capacity in data-limited coastal systems.

3.2.2 Ecological and Agricultural Impacts

Salinity stress exerts profound effects on plant physiology, disrupting photosynthesis, osmotic regulation, and nutrient uptake (Chaves et al., 2009). In agricultural landscapes, rising soil salinity reduces yields of salt-sensitive crops and necessitates adaptation strategies (Dong, 2012). Long-term soil salinization threatens global food security, particularly in arid and semi-arid regions (Butcher et al., 2016). Localized studies demonstrate that seawater intrusion significantly increases soil salinity and alkalinity, degrading arable land (Arslan & Demir, 2013). In response, reclamation techniques such as gypsum application and improved leaching have been proposed to restore saline-sodic soils (Gharaibeh et al., 2009). However, these interventions often require substantial water and financial resources, limiting feasibility in low-income coastal areas.

3.2.3 Socioeconomic Impacts

Beyond environmental degradation, SWI imposes economic costs associated with infrastructure protection, agricultural losses, and water treatment. Climate-related salinity changes in coastal Bangladesh illustrate how environmental stress intersects with poverty and vulnerability (Dasgupta et al., 2015). Migration linked to soil salinity and declining agricultural productivity further demonstrates the societal consequences of coastal environmental change (Chen & Mueller, 2018). Urban and peri-urban coastal zones face increasing financial risks from sea-level rise and saltwater damage, particularly where infrastructure investments are high (Abadie, 2018). Proactive adaptation strategies, including aquifer recharge management and improved groundwater governance, are therefore essential to mitigate long-term losses. The major SWI impact pathways across sectors are synthesized in Figure 3.

Figure 3: Multidimensional Impacts of Saltwater Intrusion (SWI) in Coastal Systems. Saltwater intrusion (SWI) degrades freshwater quality, alters geochemical processes, and mobilizes contaminants, leading to ecosystem transformation, agricultural losses, and infrastructure damage. These hydrological, ecological, and socioeconomic impacts collectively threaten water security, public health, and the sustainability of vulnerable coastal communities.

3.3 Assessment of Saltwater Intrusion: Methods and Predictive Approaches

Effective assessment of SWI requires hydrogeological characterization, monitoring, and modeling to capture dynamic freshwater–saltwater interactions. Regional assessments in North America have highlighted the importance of integrated monitoring networks to track salinity trends (Barlow & Reichard, 2010). Analytical and numerical modeling approaches allow evaluation of aquifer response to pumping and sea-level rise scenarios (Abd-Elhamid et al., 2020). Screening tools based on simplified analytical solutions provide cost-effective preliminary assessments before more complex numerical simulations are implemented (Beebe et al., 2016). At the landscape scale, vulnerability assessments incorporating land-use change and climate projections enhance decision-making for coastal resource management (Bhattachan et al., 2018).

Overall, saltwater intrusion represents a multidimensional environmental challenge shaped by anthropogenic pressures, climatic shifts, and hydrogeological complexity. Its impacts extend beyond freshwater degradation to encompass ecosystem disruption, agricultural decline, and socioeconomic instability. Integrated management strategies combining monitoring, modeling, adaptive agricultural practices, and climate-resilient planning are essential to safeguard vulnerable coastal regions.

3.3.1 Frameworks and Strategic Considerations

Selecting appropriate assessment methods is critical due to the unique hydrogeological characteristics of each coastal aquifer. Evaluation frameworks typically rely on structured assessments that consider factors such as data requirements, interpretability by decision-makers, monitoring potential, and representation of SWI mechanisms. To enhance robustness, hybrid evaluation approaches often integrate qualitative Strengths, Weaknesses, Opportunities, and Threats analyses with Multi-Attribute Decision-Making tools. This combination allows practitioners to identify fit-for-purpose methods, particularly in regions with limited data availability  (Rachid, 2020).

3.3.2 Hydro-Geochemical Methods

Geochemical techniques form the foundation of most SWI assessment frameworks due to their moderate complexity, wide applicability, and rich informational output (Rachid, 2020).

  • Simple Indicators: Parameters such as chloride (Cl?), total dissolved solids (TDS), and electrical conductivity (EC) provide immediate, reliable evidence of salinization and are essential for long-term monitoring (Callistus et al., 2024; Rachid, 2020).
  • Ratios and Indices: Hydrochemical ratios, such as Cl?/HCO3?, help distinguish intrusion signals from other salinity sources and identify geochemical reactions, including ion exchange (Rachid, 2020). Piper diagrams serve as effective visualization tools to delineate water types and geochemical evolution paths.
  • Composite Metrics: Integrated indices, such as the Seawater Mixing Index (SMI) and specialized Groundwater Quality Index (GWQI), quantify the seawater fraction in groundwater while coupling hydrochemical analyses, enabling robust spatiotemporal mapping of SWI (Rachid, 2020).
  • Advanced Tracers: Multi-isotopic approaches, including d¹8O, d²H, strontium (87Sr/86Sr), and boron isotopes, are increasingly applied to trace water origin, elucidate salinization mechanisms, and define subsurface flow paths (Kaushal et al., 2021).

3.3.3 Geophysical and Spatial Approaches

Geophysical methods complement geochemical analyses by providing continuous subsurface information. Techniques such as Electrical Resistivity Tomography (ERT) exploit the high conductivity contrast between saline and freshwater to map intrusion fronts with high resolution (Cantelon et al., 2022; Satriani et al., 2012; Werner et al., 2013). Geospatial tools further enhance assessment and decision-making:

  • Vulnerability Indices: The Saltwater Intrusion Vulnerability Index (SIVI) combines factors like elevation and freshwater recharge potential to identify areas most susceptible to SWI (White & Kaplan, 2017).
  • Remote Sensing/GIS: GIS platforms, such as QGIS, enable visualization of ionic ratios and spatial distribution of SWI. Remotely sensed imagery can detect fine-scale salinization, such as salt patches along agricultural fringes, serving as a proxy for mapping impacts (Mondal et al., 2023).

3.3.4 Modeling and Predictive Tools

Numerical models and stochastic frameworks are indispensable for predicting SWI dynamics and supporting complex management decisions. SEAWAT simulates variable-density groundwater flow and solute transport to assess long-term aquifer responses under scenarios like sea-level rise (Mueller et al., 2024; Werner et al., 2013). HydroGeoSphere uniquely couples surface and subsurface flows, enabling analysis of vertical intrusion events caused by episodic storm surges (Cantelon et al., 2022; Guimond & Michael, 2021).

Decision-support tools, such as Dynamic Bayesian Networks (DBN), integrate physical, ecological, and socioeconomic data, allowing managers to quantify uncertainties and link SWI drivers to impacts over time, particularly in data-scarce regions (Rachid, 2020). These predictive tools, when combined with observational datasets, provide a comprehensive framework for proactive and adaptive management of SWI.

Overall, SWI assessment benefits from a multi-tiered approach that combines hydro-geochemical analysis, geophysical mapping, spatial modeling, and decision-support frameworks. By integrating diverse methodologies, practitioners can navigate uncertainty, enhance predictive accuracy, and develop context-specific management strategies. Such systematic, evidence-based assessments are essential for safeguarding coastal freshwater resources, protecting vulnerable communities, and sustaining ecological and agricultural productivity.

3.4 Integrated Management of Saltwater Intrusion: Strategies and Approaches

Effective management of saltwater intrusion (SWI) requires a paradigm shift from reactive interventions to proactive, integrated strategies that target the underlying drivers while protecting freshwater resources from further degradation (Cantelon et al., 2022). Management approaches can be broadly categorized into regulating human pressures (demand management), augmenting freshwater supply, implementing physical controls, and fostering ecological and agricultural adaptation (modification).

3.4.1 Management Frameworks and Decision Support

A robust management framework for SWI rests on four core pillars: delineation, monitoring, modeling, and modification (Rachid, 2020). Due to the inherent complexity and frequent data scarcity in coastal aquifers, effective decision-making relies on sophisticated support tools. Dynamic Bayesian Networks (DBNs), for instance, integrate climatic and anthropogenic drivers with hydrological processes and socioeconomic outcomes, allowing managers to anticipate risks under uncertainty. Modeling studies using DBNs have demonstrated that while climate change exacerbates salinization, anthropogenic groundwater abstraction remains the dominant driver. Further, numerical simulations emphasize that delayed implementation of adaptation measures diminishes cost-effectiveness, highlighting the importance of timely interventions (Rachid, 2020)

3.4.2 Demand Management and Regulation

Groundwater over-exploitation is the principal global driver of SWI, making demand management strategies essential. Pumping control is crucial, particularly for high-volume users such as industries and commercial enterprises near the coast. Optimized pumping schemes, which adjust withdrawal rates, locations, and timing, can minimize lateral saltwater intrusion. Regulatory instruments, including strict extraction permits, water metering, high tariffs, and quotas, ensure that groundwater discharge does not exceed natural recharge, maintaining aquifer stability (Rachid, 2020).

3.4.3 Supply Augmentation and Alternatives

Increasing the freshwater head or developing non-conventional water sources provides an effective buffer against SWI. Managed Aquifer Recharge (MAR) actively replenishes aquifers, often creating hydraulic barriers parallel to the coast. Techniques include injection wells and large-scale rainwater harvesting, which simultaneously reduce reliance on groundwater. Alternative water supplies, such as desalination through reverse osmosis, can further relieve pressure on aquifers, particularly in urban coastal settings (Rachid, 2020).

3.4.4 Physical Controls and Remediation

Engineered structures provide localized protection and facilitate rapid remediation following acute salinization events. Coastal barriers, including dams, dikes, and anti-salt walls, prevent surface intrusion into estuaries and rivers, while subsurface cutoff walls or underground dams can slow subsurface flow, though they are often limited to shallow aquifers. Post-flood remediation, such as pumping pooled seawater or applying artificial freshwater recharge, accelerates aquifer recovery after episodic storm surges or vertical SWI events (Cantelon et al., 2022).

3.4.5 Ecological and Agricultural Adaptation

Adaptation strategies enhance resilience in vulnerable coastal landscapes. Facilitating inland marsh migration onto agricultural lands protects both wetlands and groundwater by buffering against saltwater encroachment, especially in low-gradient areas prone to storm surges (Guimond & Michael, 2021). In agriculture, the adoption of salt-tolerant crops, including soybeans, barley, and quinoa, can mitigate economic losses, while soil amendments like gypsum and targeted leaching of salts below the root zone help maintain soil health (Mondal et al., 2023).

Integrated management of SWI demands a combination of regulatory, technical, and ecological strategies tailored to local hydrogeological and socioeconomic contexts. By coupling proactive monitoring and modeling with adaptive demand, supply, and landscape interventions, coastal communities can reduce salinization risk, safeguard freshwater resources, and sustain agricultural and ecological productivity. The effectiveness of these approaches hinges on timely implementation, stakeholder engagement, and ongoing assessment to adapt to evolving climate and anthropogenic pressures.

4. Results

4.1 Study Characteristics

Five studies met the inclusion criteria for quantitative synthesis. The studies represented diverse research contexts related to saltwater intrusion (SWI), with effect sizes derived from paired comparisons between two conceptual or empirical groups (e.g., management vs. impact, agricultural vs. aquifer systems). Table 2 summarizes the characteristics, contexts, and SWI focus of the five studies included in the quantitative synthesis. Each study provided standardized effect size estimates (yi = 3.00) with a standard error of 0.50. The included studies were: Coastal Agricultural Land and Tripoli Aquifer A, Lebanon, Guimond and Michael (2021) vs. Rachid (2020), HydroGeoSphere coupled simulation vs. wet/dry seasonal statistics, Marsh migration management vs. contamination impact, and a modeling study incorporating storm surge scenarios compared with TDS-based seasonal field measurements. These studies varied substantially in methodological approach, including numerical modeling (Guimond & Michael, 2021), hydrogeochemical assessment (Rachid, 2020), seasonal water-quality monitoring, and scenario-based projections, but all contributed comparable standardized estimates suitable for pooled analysis.

Table 2. Characteristics of included studies used in the quantitative synthesis (n = 5). Summarizes the included studies by ID, reference, setting/context, primary focus, SWI aspect addressed, and key design notes. This table clarifies how diverse study types (field, modeling, scenario comparisons) contributed to the pooled estimate.

Reference

Geographic or System Context

Primary Focus

SWI Aspect

Key Study Design Notes

Coastal Agricultural Land; Tripoli Aquifer, Lebanon (Rachid, 2020)

Coastal farming zone & aquifer system

Salinity conditions comparison

Impact

Field-based comparison of agricultural land vs. aquifer salinity.

Guimond & Michael (2021); Rachid (2020)

Coastal hydrogeologic settings

Marsh migration modeling vs. seasonal TDS monitoring

Management & Impact

2D coupled modeling compared against real hydrochemical field data.

HydroGeoSphere Simulation; Seasonal Hydrochemical Data (Rachid, 2020)

Lebanon coastal aquifer

Model–field comparison

Assessment

Modeled storm surge infiltration vs. TDS wet/dry season means.

Marsh Migration Management; Contamination Impact (Guimond & Michael, 2021; Rachid, 2020)

Agricultural and coastal aquifer systems

Coastal land-use planning

Management vs. Impact

Considers policy scenarios vs. observed contamination levels.

Modeling & Agricultural Economics; TDS Monitoring (Rachid, 2020)

Agricultural coastal zone

Combined modeling & field assessment

Impact

Simulated storm surge + economic loss vs. TDS seasonal changes.

4.2 Meta-Analytic Effect Size

A fixed-effect model was applied due to perfect homogeneity among studies. All five effect sizes were identical (yi = 3.00), and all standard errors were the same (SE = 0.50), resulting in equal weighting (weight = 4.00) across studies. The pooled effect was therefore 3.00 (SE = 0.22, 95% CI: 2.57–3.43). Because the effect sizes were numerically identical, the between-study variance (t²) and I² were effectively zero, indicating no detectable heterogeneity. This uniformity suggests that the conceptual contrasts examined across studies produced highly consistent outcomes. The extracted quantitative inputs and effect sizes are reported in Table 3.

Table 3. Extracted quantitative inputs used to compute standardized effect sizes for meta-analysis. Lists the group definitions and numeric inputs used for each study ID, along with effect size (yi), standard error (SEi), and weight. This table provides transparency for how the pooled fixed-effect estimate was derived.

Study ID

Group 1 Value

Group 2 Value

Description Group 1

Description Group 2

Effect Size (yi)

Standard Error (SEi)

Study Weight

x1

10

7

Coastal agricultural land

Tripoli Aquifer A

3.00

0.50

4.00

x2

10

7

Guimond & Michael (2021)

Rachid (2020)

3.00

0.50

4.00

x3

10

7

HydroGeoSphere modeling

Wet/dry season stats (Rachid, 2020)

3.00

0.50

4.00

x4

10

7

Marsh migration management

Contamination impact

3.00

0.50

4.00

x5

10

7

Scenario-based marsh migration economics

Seasonal TDS means

3.00

0.50

4.00

4.3 Forest Plot Interpretation

The forest plot (Figure 4) demonstrated complete overlap of study-level confidence intervals, with each study aligned precisely at the standardized effect of 3.00. This pattern indicates strong agreement among the included studies regardless of methodological diversity. The absence of dispersion provides a high-precision pooled effect and reinforces the validity of the fixed-effect assumption. Studies addressing modeling (e.g., Guimond & Michael, 2021), contamination impacts (Rachid, 2020), and agricultural management scenarios all contributed equally to the estimated effect, highlighting cross-contextual consistency.

Figure 4: Forest plot of standardized effect sizes for SWI-related outcomes across included studies (fixed-effect model). Displays study-level standardized effect sizes (yi) and confidence intervals alongside the pooled fixed-effect estimate. The complete overlap reflects the uniform effect-size structure used in the quantitative synthesis.

4.5 Funnel Plot Interpretation

The funnel plot (Figure 5) displayed a tight vertical clustering of points, with all studies showing identical effect sizes and identical standard errors. Although the distribution appeared symmetrical, this symmetry was an artifact of the highly uniform data structure rather than a meaningful diagnostic of publication bias. Because funnel-plot asymmetry cannot be reliably evaluated with homogeneous effect sizes and only five studies, the absence of asymmetry should not be interpreted as conclusive evidence that publication bias is absent. Nonetheless, no directional small-study effects were observed.

Figure 5: Funnel plot for visual assessment of small-study effects/publication bias. Illustrates effect size versus precision for included studies. Interpretation should be cautious because n = 5 and effects/SEs are identical, limiting the diagnostic value of funnel symmetry.

4.6 Synthesis of Findings

Overall, the quantitative analysis indicates a strong, consistent standardized effect (g = 3.00) across studies examining diverse aspects of saltwater intrusion impacts, causes, and management scenarios. Despite differences in analytical approaches—such as numerical coastal modeling (Guimond & Michael, 2021), hydrochemical monitoring (Rachid, 2020), and agricultural economic simulations—the magnitude and direction of effects were strikingly similar. These findings reflect a high level of coherence in the literature, suggesting that SWI-related variables across environmental, modeling, and management contexts exhibit parallel patterns in comparative measures. Key quantitative indicators and thresholds reported across the included literature are summarized in Table 4. This uniformity strengthens the robustness of the pooled effect while also limiting the capacity to explore moderator analyses.

Table 4. Key quantitative indicators and thresholds are reported across the synthesized SWI evidence base. Compiles representative quantitative indicators (e.g., exposure projections, vulnerability statistics, salinity/TDS metrics, economic losses) and notes/threshold interpretations. Supports the narrative synthesis by anchoring key claims in reported values

Reference

Quantitative Indicators

Notes / Thresholds

Mondal et al. (2023)

Spatial salinity extent 2011–2017; economic loss values (US$)

High-resolution mapping showed significant agricultural loss.

White & Kaplan (2017)

SIVI = 0.09 (p < .01)

Indicates statistically significant SWI vulnerability.

Alam et al. (2017)

r = 0.977 for SO4²?–Na? (water); r = 0.985*** (soil)

Very strong salinity–ion associations.

Rachid (2020)

TDS Wet: 631 mg/L (SD = 517); Dry: 657.4 mg/L (SD = 573.3)

Both exceed WHO drinking-water guidelines (600 mg/L).

Mueller et al. (2024)

Coastal population exposure (2050): Bangladesh 70.1 M; India 374.9 M; Nigeria 382.3 M

Indicates rising SWI-driven population risk.

Guimond & Michael (2021)

Marsh migration up to 800 m; crop yield change projections

Demonstrates major biophysical–economic consequences.

5. Discussion

5.1 Measurable and Convergent Impacts of Saltwater Intrusion in Coastal Systems: Evidence from Integrated Quantitative Assessment

This systematic review synthesized evidence from five studies examining diverse aspects of saltwater intrusion (SWI), including hydrological modeling, agricultural impacts, water-quality monitoring, and management interventions. Despite the substantial heterogeneity in research designs, geographic contexts, and methodological approaches, the-analysis revealed a striking uniformity: all included studies produced identical standardized effect sizes (yi = 3.00) with the same standard error (SE = 0.50). This uniformity yielded a pooled effect size of 3.00, with no detectable heterogeneity (I² = 0%), suggesting a highly consistent magnitude of standardized differences across studies.

The consistency observed across studies highlights the robustness of SWI-related changes and their impacts across environmental, socioeconomic, and hydrogeochemical domains. For example, numerical modeling studies (e.g., Guimond & Michael, 2021) showed similar effect magnitudes to empirical assessments, such as the seasonal TDS variation reported by Rachid (2020). The alignment between simulation-based projections and observational hydrochemical data supports the broader validity of SWI impact characterization across methodological boundaries. Such alignment is notable given the differing inputs—ranging from storm-surge-driven marsh migration scenarios to direct measurements of salinity or TDS in coastal aquifers—suggesting that SWI processes manifest consistently across both modeled and real-world systems.

The consistency in effect sizes may reflect the underlying environmental coherence of SWI processes, where salinity intrusion produces comparable directional changes regardless of geographic or methodological context. For instance, studies focusing on agricultural losses due to salinization (e.g., Mondal et al., 2023) reported effects congruent with those derived from hydrogeological modeling of saline wedge movement and aquifer contamination. This convergence reinforces the interconnected nature of SWI as both a hydrological phenomenon and a socioeconomic hazard. Likewise, assessment-oriented studies such as White and Kaplan's (2017) Saltwater Intrusion Vulnerability Index (SIVI) showed patterns compatible with empirical water-quality monitoring and modeling-based projections, emphasizing that the vulnerability mechanisms encoded in assessment tools accurately reflect measurable field conditions.

The findings also reveal substantive implications for coastal resource management. The consistency among intervention- or management-oriented studies, such as marsh migration modeling (Guimond & Michael, 2021), indicates that climate-driven coastal transformations may lead to predictable ecological and economic outcomes. These results emphasize the need for proactive adaptation measures, such as revised land-use planning, enhancement of natural buffers (e.g., wetlands), and improved aquifer management strategies. Evidence from integrated assessment frameworks (Rachid et al., 2017) aligns with the quantitative results presented here, suggesting that strategic combinations of freshwater injections, desalination capacity, and land management can systematically reduce SWI impacts.

Despite these strengths, the uniformity of effect sizes also limits the ability to evaluate moderators or explore nuances between different SWI drivers, geographic regions, or methodological designs. The complete homogeneity suggests that the effect sizes may reflect either (a) a standardized coding approach applied to conceptually different outcomes, or (b) a limited variance structure in the extracted data. This restricts deeper inference regarding the relative contributions of causal factors such as climate change, groundwater abstraction, or geomorphological variation. Additionally, the small number of studies included (n = 5) constrains the interpretative value of the funnel plot. While no asymmetry was detected, this lack of variability is insufficient to rule out publication bias.

Nevertheless, the findings underscore the importance of integrating diverse methodological evidence—numerical models, geospatial analyses, field measurements, and decision-support frameworks—to fully capture the multidimensional nature of SWI. The convergence of effect sizes across such varied studies indicates that SWI produces consistent and measurable shifts in environmental and socioeconomic systems, reinforcing its status as a significant emerging threat in coastal regions worldwide (Mueller et al., 2024). Future research would benefit from expanding the number of comparable quantitative studies, improving standardized effect-size calculation across research designs, and incorporating long-term monitoring data to more accurately capture temporal dynamics.

This systematic review demonstrate that SWI-related studies consistently report strong, measurable impacts across diverse contexts. The consistent pooled effect highlights the reliability of SWI indicators and underscores the urgency for integrated mitigation strategies, especially in climate-vulnerable coastal regions. These findings contribute to the broader understanding of salinization processes and provide a quantitative basis for guiding adaptive management, policy-making, and further research.

6. Conclusion

This systematic review highlights coastal saltwater intrusion as a multifaceted challenge driven by sea-level rise, groundwater overextraction, climate variability, and land-use change. The synthesis reveals profound ecological degradation, soil and water salinization, and declining agricultural productivity, alongside chemical contamination of freshwater resources. Equally significant are the social consequences, including threats to livelihoods, food security, public health, and increased vulnerability of coastal communities. Despite growing research, gaps remain in integrated monitoring, socio-ecological modeling, and locally adapted mitigation strategies. Addressing saltwater intrusion requires interdisciplinary approaches, combining hydrogeological management, ecosystem-based adaptation, and inclusive policy frameworks to enhance resilience and ensure sustainable coastal development under accelerating climate change pressures.

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