Search Results (149)

Groundwater and water supply systems are increasingly vulnerable to contamination, yet most assessments consider either hydrogeological or infrastructure risks. This study introduces the Total Integrated Network (TIN) approach, a framework designed to evaluate vulnerability comprehensively from source to tap. Field investigations were conducted in Varaždin County, Croatia, focusing on the Belski Dol spring, Briška reservoir, and PS Filipići. Hydrochemical analyses, stable isotope of water (δ¹⁸O, δ²H), tritium, noble gases, and radon concentrations were monitored and combined with system-level assessments. Results show that the Belski Dol spring exhibits high stability and low vulnerability, with a TIN index of approximately 25%, supported by long groundwater residence times and consistent water quality. PS Filipići displayed moderate vulnerability (35%), while the Briška reservoir showed the highest index (53%), linked to elevated radon and nitrate concentrations and infrastructure-related risks. These findings indicate that natural hydrogeological protection alone cannot ensure safe drinking water. The TIN approach highlights the importance of integrating aquifer conditions with distribution system performance to identify critical control points and prioritize interventions. This integrated methodology offers a more realistic basis for water safety management, supporting proactive measures to safeguard supply resilience and public health. Full article

Ensuring the resilience of water distribution networks (WDNs) remains a critical challenge for utilities, as aging infrastructure and inadequate planning can compromise drinking water quality (DWQ) and increase customer dissatisfaction. This study aims to strengthen existing DWQ monitoring schemes utilized by utilities by introducing a GIS-based framework that integrates structured customer feedback into the selection of sampling locations. Using a district metering area in Jūrmala, Latvia, as a case study, consumer-reported complaints were collected through an online survey and geoprocessed to identify problem hotspots. Based on these insights, the sampling program was refined and linked with asset data to improve previously established maintenance routines. Targeted sampling confirmed elevated iron and turbidity levels in several locations, validating the reliability of customer feedback. Embedding spatial context throughout the data pipeline enables systematic evaluation and optimization of sampling locations, enhancing operational awareness and supporting informed decision-making during incidents. The proposed approach can be widely adopted by utilities to develop priority-based monitoring campaigns, particularly in regions with significant seasonal demand fluctuations, such as tourism hubs and vacation destinations. Full article

Despite advances in water treatment technologies and monitoring systems, contamination events in drinking water supply systems (DWSSs) still pose a threat to public health. Since timing is crucial in effectively mitigating impacts, the implementation of an early warning system (EWS) represents an optimal solution for securing the entire network. In this paper, we present a novel multi-objective approach based on the NSGA-II Genetic Algorithm (GA) for solving the sensor placement optimization (SPO) problem, aiming at defining the optimal water quality sensor system (WQSS) design. We start from the original formulation of the objective functions most commonly used in the literature, which aim, on the one hand, to reduce the impact and, on the other, to maximize the network coverage; such objective functions are rewritten in order to enable a comprehensive perspective of all potential contamination scenarios, including those that remain undetected by the WQSS. Furthermore, we address the issue of computational complexity, increasing with the size of the water distribution system (WDS), and we show that the proposed methodology is computationally cost-effective. Finally, we apply the methodology to two well-known benchmarking water distribution networks (WDNs), showcasing the capabilities and potential advantages it offers. Full article

Access to safe drinking water is a critical public health priority, particularly in arid regions such as Saudi Arabia where water scarcity and reliance on desalination present unique challenges. This study was conducted to evaluate the quality of drinking water in Madinah City and to examine the potential influence of the distribution system on water quality before it reaches consumers. Water samples were systematically collected from both primary and secondary reservoirs as well as from points within the distribution network. The samples were analyzed for key physical parameters, inorganic constituents, heavy metals, volatile organic compounds, and microbiological indicators using standard laboratory procedures. The results demonstrate that Madinah’s drinking water meets national and WHO drinking water quality standards, with most parameters well below the maximum contaminant levels (MCLs). Slight variations were observed between the primary and secondary reservoirs, likely due to the blending of desalinated seawater with groundwater. Importantly, six heavy metals—iron (115 µg/L), aluminum (48.5 µg/L), copper (58 µg/L), lead (0.22 µg/L), magnesium (7.15 µg/L), and strontium—were detected at higher concentrations in the distribution system compared to the reservoir sources (15, 15, 8.5, <0.05, and 0.71 µg/L, respectively). Although these values remained within acceptable limits, their presence suggests potential leaching from distribution pipes and underscores the need for continuous monitoring. This study provides an evidence-based assessment of water quality in Madinah, offering valuable insights for water authorities to strengthen monitoring programs and ensure long-term protection of public health. Full article

This study examined the spatial and seasonal variations of trihalomethanes (THMs) and estimated the health risks associated with THM exposure in drinking water through various pathways. Water samples were collected from 14 distribution districts connected to the Ulutan Distribution System (UDS) and the Süleyman Bey Distribution System (SDS), which supply drinking water to Zonguldak Province, Türkiye. THMs were measured using the USEPA 551 method. The median total trihalomethanes (TTHMs) ranged from 41 μg/L to 71 μg/L, which is below the Turkish drinking water standard of 100 μg/L. Chloroform (TCM) was the most common trihalomethane in all distribution networks in UDS and SDS. On the other hand, pre-ozonation oxidation after chlorination in SDS disinfection caused the contribution of brominated THMs (62%) to THM formation to be higher than that of TCM (38%). The study on cancer risk reveals that ingestion (96%) poses the greatest risk of the investigated pathways, followed by dermal contact (3.95%), while inhalation has been found to have a negligible effect. The highest and lowest median TTHMs occurred during winter and summer. The findings of the study show that the distribution areas of Kozlu, Ömerli, Topçalı, and Uzunçayır, for both genders, exhibit an unacceptable cancer risk level according to the criteria established by the USEPA (>10⁻⁴). Bromodichloromethane (BDCM) and chlorodibromomethane (DBCM) are the main contributors to cancer risk for males and females in UDS and SDS. The hazard index (HI) data indicated that the HI value remained below one for both UDS and SDS. Sensitivity analysis of THMs demonstrated that exposure frequency (EF) was the primary parameter contributing to the maximum potential impact on the total cancer risk exposure frequency (EF), followed by body weight (BW) and exposure duration (ED). Further, the results provide valuable information for health departments and water management authorities, enabling the formulation of more specific and efficient policies to minimise THM levels in drinking water distribution networks. Full article

When desalinated water enters the existing drinking water distribution systems (DWDSs), the balance between water and scale will be destroyed, resulting in the release of iron and water quality problems, causing “yellow water”. This study investigated the inhibitory effects of pH, alkalinity, and phosphate on iron release and the optimal control condition using pipe section reactors with a response surface. For steel pipe, the optimal condition for iron release control was pH = 8.5, alkalinity = 250 mg/L CaCO₃, and phosphate = 0.1 mg/L. For cast iron pipe, the optimal condition was pH = 8.0, alkalinity = 250 mg/L CaCO₃, and phosphate = 0.1 mg/L. This study can provide theoretical support for subsequent water supply safety and lay a foundation for the water supply safety of the municipal pipe network. Full article

This study delivers a pioneering, high-resolution hydrogeochemical assessment of surface waters in the Upper Velhas and Upper Paraopeba river basins within Brazil’s Iron Quadrangle—an area of critical socioeconomic importance marked by intensive mining and urbanization. Through a dense sampling network of 315 surface water points (one every 23 km²), the research generates an unprecedented spatial dataset, enabling the identification of contamination hotspots and the differentiation between lithogenic and anthropogenic sources of potentially toxic elements (PTEs). Statistical methods, including exploratory data analysis and cluster analysis, were applied to determine background and anomalous concentrations of potentially toxic elements (PTEs). Geospatial distribution maps were generated using GIS. The results revealed widespread contamination by As, Cd, Cr, Ni, Pb, and Zn, with many samples exceeding Brazilian, European, and global drinking water standards. Arsenic and cadmium anomalies in rural and peri-urban communities raise concerns due to the direct consumption of contaminated water. The innovative application of dense spatial sampling and integrated geostatistical methods offers new insights into the pathways and sources of PTE pollution, identifying specific lithological units (e.g., gold schists, mafic intrusions) and land uses (e.g., urban effluents, mining sites) associated with elevated contaminant levels. By establishing robust regional geochemical baselines and source attributions, this study sets a new standard for environmental monitoring in mining-impacted watersheds and provides a replicable framework for water governance, environmental licensing, and risk management in similar regions worldwide. Full article

Nitrifying bacteria, including ammonia-oxidizing bacteria (AOB) and nitrite-oxidizing bacteria (NOB), are players in the nitrogen cycle but pose serious health risks when colonizing drinking water distribution networks (DWDNs). While the global impact of these bacteria is increasingly recognized, a significant research gap remains concerning their effects in tropical regions, particularly in developing countries. This study aims to bridge that gap by systematically reviewing the existing literature on nitrifying bacteria in DWDNs, their behavior in biofilms, and associated public health risks, particularly in systems reliant on surface water sources in tropical climates. Using the PRISMA guidelines for systematic reviews, 51 relevant studies were selected based on content validity and relevance to the research objective. The findings highlight the critical role of nitrifying bacteria in the formation of nitrogenous disinfection by-products (N-DBPs) and highlight specific challenges faced by developing countries, including insufficient monitoring and low public awareness regarding safe water storage practices. Additionally, this review identifies key surrogate indicators, such as ammonia, nitrite, and nitrate concentrations, that influence the formation of DBPs. Although health risks from nitrifying bacteria are reported in comparable studies, there is a lack of epidemiological data from tropical regions. This underscores the urgent need for localized research, systematic monitoring, and targeted interventions to mitigate the risks associated with nitrifying bacteria in DWDNs. Addressing these challenges is essential for enhancing water safety and supporting sustainable water management in tropical developing countries. Full article

This study extends previous machine learning work on ion constituent simulation in California’s Sacramento–San Joaquin Delta (Delta) to include three critical water intake locations. The developed Artificial Neural Network models demonstrate exceptional accuracy (R² > 0.96) in predicting chloride, bromide, and sulfate concentrations at these strategically important facilities. Water intake location models show substantial improvements in prediction accuracy, with MAE reductions of 60.7–74.0% for chloride, 63.3–72.5% for bromide, and 70.4–87.9% for sulfate, compared to existing methods for the Interior Delta. Performance evaluation through comprehensive cross-validation confirms robust model stability across varied conditions, with remarkably consistent metrics (standard deviation in R² ≤ 0.006). Four complementary interactive dashboards were developed, enabling users, regardless of programming expertise, to simulate ion constituents throughout the Delta system. A Model Interpretability Dashboard specifically addresses the complexity of machine learning models by visualizing parameter sensitivity and prediction behavior, thereby enhancing transparency and building stakeholder trust in the modeling approach. For the first time, spatial coverage limitations are addressed through hybrid modeling that combines DSM2 hydrodynamic simulation with machine learning to enable continuous prediction of ion distributions across several points in the Interior Delta. These advancements provide water managers with accessible, accurate tools for informed decision-making regarding agricultural operations, drinking water treatment, and ecosystem management in this vital water resource. Full article

Ensuring microbial safety in drinking water distribution networks is a critical challenge, particularly in healthcare facilities where waterborne infections pose significant risks. This study presents the implementation of the eBooster^TM electrochemical disinfection system, developed by Ecas4 Australia, as a maintenance-free solution for microbial control in hospital water supplies. Unlike previous electrochemical disinfection technologies, which suffered from scale buildup and required frequent maintenance, the eBooster^TM system utilizes periodic polarity reversal to prevent electrode fouling, enabling continuous operation without external intervention. The technology has been adopted by several regional hospitals in Queensland, Australia, and this paper focuses on Dalby Hospital, where two eBooster^TM systems were installed at water meters to provide residual disinfection in an in-line configuration. Performance data collected over nearly 2 years demonstrated consistent chlorine generation for microbial control with minimal energy consumption (less than 2 kWh/day). The system’s ability to adapt to fluctuating flow rates while maintaining consistent disinfectant levels highlights its reliability in real-world applications. This work emphasizes the potential of electrochemical disinfection as a sustainable alternative to chemical dosing in drinking water systems, offering a maintenance-free, cost-effective, and environmentally friendly solution for long-term microbial safety in healthcare and other critical settings. Full article

Mineral scaling and corrosion pose significant challenges in groundwater distribution, increasing hydraulic resistance, reducing flow rates, and raising operational costs. Magnetic water treatment (MWT) has gained attention as a non-chemical method to mitigate scale formation by promoting the transformation of calcite, a hard and adherent CaCO₃ polymorph, into aragonite, a softer and less adherent form. In Chihuahua, Mexico, mineral scaling has disrupted the drinking water distribution system, reducing flow and impairing service. This study evaluates MWT’s potential to mitigate scaling by analyzing magnetized water treated under various MWT configurations. Comparative analyses were conducted via XRD and SEM to assess changes in calcium carbonate polymorphs. Finite element method (FEM) simulations in COMSOL Multiphysics 6.0 were used to evaluate the magnetic field distribution. The results show no systematic trend in CaCO₃ polymorph transformation following MWT exposure, and FEM simulations indicate negligible magnetic field gradients in certain configurations. These findings highlight the critical role of optimizing magnetic field alignment and gradient strength. Future research should refine MWT configurations and incorporate real-time monitoring to enhance its effectiveness in scale prevention. Full article

The prevention of human infectious diseases associated with waterborne pathogens is reliant on the effective disinfection of water supplies by drinking water treatment plants and adequately maintained distribution networks. For decades, the chlorination of water has safeguarded public health, where chlorine is broadly applied in both water disinfection and food production facilities, including the dairy industry, from farm to fork. The identification of chlorine disinfection byproducts in water supplies and dairy food produce is of great concern, however, due to their cytotoxic, genotoxic, mutagenic, teratogenic, and potential endocrine-disrupting activity. The association between the trihalomethanes (THMs) and haloacetic acids (HAAs) and tumour formation is documented and has led to the implementation of maximum contaminant levels enforced by the European Union. Furthermore, chlorine resistance in bacterial species is associated with multidrug resistance in clinically relevant pathogens, where antibiotic- and biocidal-resistant genes are also environmental pollutants. Increasing the concentration of chlorine to surmount this resistance will ultimately lead to increasing concentrations of byproducts in both water and food products, exceeding the EU requirements. This article provides insight into chlorine DBPs as a toxicological public health risk and the relationship between chlorine resistance and antibiotic resistance in microbes relevant to dairy food production. Full article

Electrochemical disinfection systems are gaining attention as potential solutions for reducing microbial contamination in drinking water distribution networks. While numerous recent studies suggest that these systems are easy to implement, real-world application reveals significant challenges. Many published works suffer from fundamental flaws, including inappropriate material selection, unrealistic operating conditions, and non-compliance with regulatory standards. This review critically examines studies published over the past 24 months, highlighting key issues that limit practical applicability. It discusses common pitfalls, such as the use of unstable or toxic electrode materials and the failure to provide residual disinfectant effects. Additionally, the review outlines essential characteristics for effective electrochemical disinfection systems, emphasizing compliance with health regulations, scalability to real-world conditions, and long-term operational stability. By identifying these gaps, this review article aims to guide future research toward more viable, safe, and sustainable electrochemical disinfection solutions for drinking water treatment. Full article

This study investigated the presence of antibiotic-resistance genes in drinking water consumed by the university community in the Peruvian Amazon. Water samples were collected from three primary sources: inflow from the distribution network, a storage cistern, and an underground intake. Conventional PCR was employed to detect genes associated with resistance to erythromycin (ermC), ampicillin (amp), ciprofloxacin (QEP), multidrug resistance (marA), and specific multidrug resistance in E. coli (qEmarA). Physicochemical analysis revealed compliance with most regulatory standards; however, groundwater samples showed lead concentrations exceeding legal limits (0.72 mg/L) and lacked residual chlorine. All sampling points tested positive for the evaluated resistance genes, demonstrating the widespread dissemination of resistance factors in drinking water. Contrary to initial expectations, resistance genes were also prevalent in treated sources. These findings reveal a critical public health risk for the university community, emphasising the need for effective disinfection systems and robust monitoring protocols to ensure water safety. The presence of these resistance genes in water is a critical public health concern as it can facilitate the spread of resistant bacteria, reducing the effectiveness of medical treatments and increasing the risk of infections that are difficult to control. Full article

Coastal communities face unique challenges in maintaining continuous service from critical infrastructure. This research advances capabilities for evaluating the impact of using wave energy to desalinate water on the resilience of coastal communities. The study focuses on the feasibility of using wave energy conversion to provide drinking water to communities in need and applying resilience metrics to quantify its impact on the community. To assess the feasibility of wave-powered desalination, this research couples the open-source software Wave Energy Converter SIMulator (WEC-Sim) and Water Network Tool for Resilience (WNTR). This research explores variations in both the wave resource (location, seasonality, and duration) and the ability to maintain drinking water service during a disruption scenario by applying the simulation framework to three case studies, which are based on communities in Puerto Rico. The simulation framework provides a contextualized assessment of the ability of wave-powered desalination to improve the resilience of coastal communities, which can serve as a methodology for future studies seeking the integration of wave-powered desalination with water distribution systems. Full article