Water Treatment Processes Research Articles

Iron Oxide Powders Containing Arsenic from Water Treatment Processes Mixed with Cement as Environmental and Structural Solution

This study explores the stabilization and utilization of hazardous waste (HW) derived from iron oxide powders containing arsenic, a byproduct of a water purification process. Cement paste samples were prepared with varying waste content (0.0%, 2.5%, 10% and 20% by weight) through mechanical mixing of all the components. Utilizing this waste offers two key environmental benefits: first, it addresses the issue of large-scale waste production globally by providing a method for its stabilization; second, it reduces cement consumption in concrete by serving as an admixture and filler, thereby lowering the cement industry’s significant CO2 emissions. After 28 days, compressive strength and density tests were conducted, and the microstructure was examined using scanning electron microscopy and X-ray diffraction. The results demonstrated compressive strengths exceeding 20 MPa, with the presence of calcite, portlandite, and ettringite phases in the samples. Additionally, Weibull statistics were conducted over a wide number of samples per composition in order to account for the variability of the compression properties, which can be important for deciding the applications. The results showed that the prepared formulations can be used in structural applications such as walls, infrastructure, sidewalks, and soil stabilization.

Adsorption adaptive response exposed to algal organic matter: correlation to the characteristics of granular activated carbon

ABSTRACT The release of algal organic matter (AOM) during seasonal algal blooms increases the complexity and heterogeneity of natural organic matter (NOM) in water sources, altering its hydrophilic–hydrophobic balance and posing significant challenges to conventional water treatment processes. This study aims to verify whether the (Granular activated carbon) GAC selected for the adsorption of NOM in sand filtration effluent can adapt to water quality fluctuations caused by AOM release, and identify the criteria influencing GAC adsorption performance. Results indicated that external surface area, mesopore volume, pore size and surface functional groups were key indicators of GAC adsorption performance. AOM exposure increased the soluble microbial byproducts (SMP) and humic acid components in sand filter effluent, and induced the presence of high molecular weight biopolymers. The removal characteristics of sand filtration effluent spiked with AOM indicated that GAC preferentially adsorbed unsaturated bonds and aromatic compounds, as well as organic acids like fulvic and humic acids. Its adsorption primarily involved physical and chemical processes such as pore filling, hydrophobic interactions, and reactions between chemical functional groups. AOM exposure led to an increase in hydrophilic macromolecules such as polysaccharides and proteins, causing competitive adsorption and pore blockage. This study provided a theoretical basis for the efficient and rapid selection of GAC during outbreaks of AOM pollution.

Multi-modal learning-based algae phyla identification using image and particle modalities.

Algal blooms in freshwater, which are exacerbated by urbanization and climate change, pose significant challenges in the water treatment process. These blooms affect water quality and treatment efficiency. Effective identification of algal proliferation based on the dominant species is important to ensure safe drinking water and a clean water supply. Traditional algae identification techniques, such as microscopy and molecular techniques, are time-consuming and depend on the expertise of the practitioner. This study introduced an artificial intelligence (AI)-based multi-modal approach, which is a recent advancement in techniques for improving algal identification by integrating algal images and particle properties. We employed multi-modal learning to integrate multiple data modalities, including algal images and particle properties acquired using Flow Cam, to provide robustness and reliability for classifying algal phyla, such as Anabaena, Aphanizomenon, Microcystis, Oscillatoria, and Synedra. This study involved acquiring images and particle modalities, which were conducted to integrate the dataset using early, late, and hybrid fusion methods. In addition, explainable AI approaches, including SHapley Additive exPlanations (SHAP) and gradient-weighted class activation mapping (Grad-CAM), were used to investigate the contributions of the algal image and particle modalities to the proposed multi-modal algorithm. The multi-modal algae identifier with late fusion achieved an average F1 score of 0.91 and 0.88 for training and tests related to identifying algal phyla, respectively. Furthermore, compared with other modalities, the image and particle modalities showed significant potential as complementary and reliable components of deep-learning algorithms for algal identification in the water treatment process. These findings can contribute to a safe and clean water supply by effectively identifying the dominant algal species in the water treatment process.

Chemistry for water treatment under nanoconfinement.

The global freshwater crisis, exacerbated by escalating pollution, poses a significant threat to human health. Addressing this challenge required innovative strategies to develop highly efficient and process-adaptable materials for water decontamination. In this regard, nanomaterials with confinement structures have emerged as a promising solution, outperforming traditional nanomaterials in terms of efficiency, selectivity, stability, and process adaptability, thereby serving as an ideal platform for designing novel functional materials for sustainable water treatment. This Review focuses on recent advancements and employment of nanoconfinement effects in various water treatment processes, emphasizing the fundamental chemistry underlying nanoconfinement effects. Also, the existing knowledge gaps related to nanoconfinement effects and future prospects for expanding their applications in diverse water treatment scenarios are discussed.

Towards stormwater reuse risk management plans: Methodology and catchment scale evaluation of QMRA.

The reuse of stormwater represents a potential option for meeting water demands in water stressed regions as well as preventing and mitigating diffuse pollution of receiving water bodies. Particularly, the elaboration of a risk management plan for stormwater reuse may help to understand associated environmental and public health risks and design fit-for-purpose water treatment processes. In this work, it is presented an innovative methodology to perform quantitative microbial risk assessment (QMRA) for stormwater reuse by using data simulated by SWMM software. Particularly, 210 rain events were simulated by SWMM after qualitative and quantitative calibration of the sewer network model of the city of Cupra Maritima (Italy) to identify sewer overflows. Obtained concentrations of pathogens (i.e., E. coli, Campylobacter) in overflows from each critical spillway were fitted by theoretical distribution curves. Hence, QMRA for Campylobacter was performed by Monte Carlo simulation and by linking observed overflows to the exposure events of stormwater reuse for the scenario of 1) municipal irrigation, 2) garden irrigation and 3) toilet flushing as defined by the Australian Guideline for water recycling. Furthermore, QMRA analysis was repeated after simulation of sewer overflow treatment by nature-based solution (NBS) with and without disinfection (UV and performic acid - PFA). Stormwater treatments were simulated by applying uniform distributions of expected range of bacteria log removals. Results showed that stormwater treatment by nature-based solution and disinfections (PFA dose of 2.5-5mg/L) were able to reduce the risk of Campylobacter infection to acceptable level for most of spillways in the three investigated reuse scenarios. In addition, produced data were elaborated to identify critical overflows discharging in bathing water according to the indications of the EU bathing directive.

Ozone-based advanced oxidation processes in water treatment: recent advances, challenges, and perspective.

Water pollution, driven by a variety of enduring contaminants, poses considerable threats to ecosystems, human health, and biodiversity, highlighting the urgent need for innovative and sustainable treatment approaches. Ozone-based advanced oxidation processes (AOPs) have demonstrated significant efficacy in breaking down stubborn pollutants, such as organic micropollutants and pathogens, that are not easily addressed by traditional treatment techniques. This review offers an in-depth analysis of ozonation mechanisms, covering both the direct oxidation by ozone and the indirect reactions facilitated by hydroxyl radicals, emphasizing their effectiveness and adaptability across various wastewater matrices. Significant progress in the combination of ozonation with additional technologies, including UV irradiation, hydrogen peroxide (H₂O₂), catalytic systems, and biological treatments, is examined, highlighting their effectiveness in enhancing pollutant breakdown, increasing biodegradability, and reducing secondary pollution. Hybrid methods, including catalytic ozonation and ozone-biological treatment, show significant enhancements in process efficiency and cost-effectiveness, while effectively tackling challenges associated with energy use and byproduct generation. Despite the promising possibilities, obstacles remain, such as scalability issues, high operational costs, and the risk of generating potentially harmful transformation products. Cutting-edge approaches, including the creation of sophisticated catalysts, integration of processes, and refinement of reactor designs, are suggested to address these challenges and improve the real-world implementation of ozone-based advanced oxidation processes. This review highlights the significant potential of ozone-based advanced oxidation processes as sustainable approaches for wastewater treatment, providing an essential route to environmental conservation and safeguarding public health.

Quantification of Particle-Associated Viruses in Secondary Treated Wastewater Effluent

Viruses can interact with a broad range of inorganic and organic particles in water and wastewater. These associations can protect viruses from inactivation by quenching chemical disinfectants or blocking ultraviolet light transmission, and a much higher dosage of disinfectants is required to inactivate particle-associated viruses than free viruses. There have been only few studies of the association of viruses with particles in wastewater, particularly in secondary treated effluent. As secondary effluent is the source water to the reclaimed water treatment system, this study quantified indigenous enteric viruses, and viral indicators associated with particles in secondary effluents collected from five full-scale water reclamation facilities in the United States. Particle-associated viruses were enumerated using a sequential filtration followed by microfluidic digital PCR. This study showed that enteric viruses and viral indicators (crAssphage and pepper mild mottle virus, PMMoV) were attached to particles of different sizes in secondary effluent. Significantly higher concentrations of RNA viruses including PMMoV, norovirus, and enterovirus were detected in filtrate of the sequential filtration, which contained particles < 0.45 µm. DNA viruses including adenovirus and crAssphage were found to be more associated with larger particles in secondary effluent. Overall, high correlations were observed between viral indicators and enteric viruses, supporting the use of crAssphage and PMMoV to evaluate virus removal efficiency in water and wastewater treatment processes. The association of viruses with particles in wastewater has significant implications on wastewater treatment and disinfection processes as well as virus enumeration in wastewater.Graphic

Optimizing the processing conditions of ballasted flocculation of actual turbid river water

ABSTRACT Ballasted flocculation is effective for fast turbidity removal in water treatment processes. However, there is a lack of specific information for setting the conditions for ballasted flocculation. To enhance the settling velocity and removal efficiency of ballasted flocculation of actual river water, the process parameters were examined at three turbidity levels. The optimum pH and dosages for ballasted flocculation were investigated based on the relationship between the water turbidity and the floc settling velocity at the three turbidity levels. A nonionic polymer flocculant was the most suitable for floc formation and achieved the lowest turbidity and highest settling velocity. Under the optimum processing conditions at the three turbidity levels, the treated water turbidity was ˂2 turbidity units (TU) and the floc settling velocity was ˃0.7 cm/s, which was 30 times that of conventional coagulation–sedimentation, reducing the floc settling time by 97% of those used in existing water treatment plants.

Utilization of borax production waste in zinc (Zn+2) adsorption from industrial wastewater

Borax production waste materials were determined as a possible adsorbent to eliminate the zinc (Zn+2) concentration in industrial wastewater. To investigate the adsorption mechanism, reaction parameters were optimized such as solution pH, dilution ratio (initial concentration) and contact time. The effect of pH had a vital role on the adsorption efficiency. The optimum solution pH was selected as 9 and contact time was selected as 90 mins. In the isothermal and kinetic modeling, Temkin isotherm (R2: 0.9851) and Lagergren pseudo-second-order kinetic method (R2: 0.9999 − 9.9945) were determined as the best fitted functions. The results indicated the weak interaction between molecules of adsorbent and adsorbate that related to the physical adsorption. Rate constants of k2 were found between −16.5017 and 48.7805 whereas the values of qe were estimated in the range of 49.5050 and 96.1538 for the different dilution ratios. The results also proved that industrial wastes can be an option for water treatment processes.

Metal-organic framework membranes and their advanced oxidation processes in water treatment: From material regulation to stability evaluation

Metal-organic framework membranes and their advanced oxidation processes in water treatment: From material regulation to stability evaluation

Electrochemical water treatment: Review of different approaches.

The continued development in agriculture, the rapid growth of industrialization, and last but not least, the increase in the global population adversely affects the environment. The availability of drinking water decreases every year with the rise in water pollution, which is the consequence of the failure of conventional approaches to the water treatment process. This review will provide a comprehensive and detailed analysis of the electrochemical water treatment processes, as these techniques have several benefits over conventional methods, such as being cost-effective, easily applicable, selective, and broad applicability. This review starts by discussing the traditional methods. It explains their limitations and finishes the introductory part by presenting all the benefits of the electrochemical method over the conventional method for water treatment. Then, the discussion will be carried out on the individual electrochemical method with their detailed analysis of the selected approach, selected material, and optimized parameters for analysis. The elaborative study was targeted, and the different coupled systems, their analysis parameters, and derived removal efficiencies were given in tabular form. In the last section of the article, the conclusive statements present the prospects of the electrochemical method for water treatment.

Evaluating flow cytometric metrics for enhancing microbial monitoring in drinking water treatment processes

Flow cytometry (FCM) offers a rapid method for bacterial detection in drinking water but faces challenges in terms of data analysis, particularly gating subjectivity. This study evaluates three metrics derived from the Intact Cell Count (ICC): High/Low Nucleic Acid (HNA/LNA) ratios, Bray–Curtis Dissimilarity Index (BCDI), and FCM fingerprints—to enhance microbial monitoring approaches across different water treatment and distribution stages. ICC provided a direct assessment of microbial load in high cell count scenarios, while HNA/LNA ratios were valuable during low microbial levels. BCDI effectively tracked microbial population changes throughout treatment processes. A lead–lag analysis revealed that ICC changes often precede or coincide with BCDI changes and lead changes in HNA/LNA ratios. FCM fingerprinting visualized spatial and temporal variations in microbial communities. Combining these FCM metrics improved microbial water quality assessment and supports approaches to optimise water treatment strategies from a microbial perspective.

Occurrence and risk of microplastics and hexabromocyclododecane in urban drinking water systems: From source water to tap water.

The widespread presence of microplastics (MPs) in drinking water systems and their risk of releasing additives have caused widespread concern. However, current research on the migration and risks of MPs and additives in the complete drinking water supply chain remains inadequate. In this study, micro-Raman spectrometer was used to track the entire transport process of MPs from the water source to the tap water, with concentrations ranging from 805 to 4960 items/L, and polyethylene and Polyethylene terephthalate were dominant. The removal efficiency of MPs at the drinking water treatment plant was 85.0±5.2%. However, chlorination increased the proportion of polystyrene by 40.1±5.3%. Chlorination increases the surface roughness and carbonyl index of polystyrene standards, and promotes the release of hexabromocyclododecane (HBCD) (482.0ng/g-2208.7ng/g). The non-carcinogenic risk index of HBCD ingestion through drinking water remains well below 1 for residents. Complete water treatment processes significantly reduce the risks posed by MPs, achieving reductions of 54.3% in the pollution load index and 82.1% in the potential ecological risk index. The estimated daily intake of MPs ingested by residents through tap water ranges from 33.4 to 45.6 items/kg/d. This study investigated the occurrence of MPs in the complete drinking water supply chain and the risk of chlorine disinfection for HBCD release, which could help develop more effective MPs control measures and risk management strategies.

The occurrence and persistence of surface water contaminants across different landscapes

Surface water contaminants, including both conventional contaminants (e.g., nutrients, trace elements) and emerging contaminants (e.g., pesticides, pharmaceuticals) are heavily influenced by urban and rural land use practices. The goal of the study was to characterize the influence of watershed land use practices on surface water quality. Specific objectives were to (1) identify and quantify the type and concentration of nutrients, trace elements, pesticides, pharmaceuticals and personal care products in four watersheds and (2) understand potential sources of contamination based on the watershed's land cover and land use characteristics (i.e., oil and gas, urban, mining, agriculture). Monthly polar organic chemical integrative samples and water grab samples were collected from March–October 2022. The results showed that surface water quality varied by location, season, and flood condition Specifically, aluminum (mean = 758 μg L−1) and iron (mean = 1130 μg L−1) exceeded chronic aquatic life water quality criteria in the agricultural watershed, while imidacloprid exceeded the chronic criteria limit for freshwater invertebrates in both the urban (mean = 5.96 ng L−1) and agricultural (mean = 4.72 ng L−1) watersheds. Sulfate concentrations (mean = 666 mg L−1) also exceeded ambient water quality criteria in the watershed with a high activity of mining. This study provides important steps for developing a comprehensive understanding of land use impacts on contaminant presence and concentration in surface waters, improved understanding of the implications to non-target species, and necessary water treatment processes to ensure a safe water supply.

Enhancing performance in gravity-driven membrane systems through pre-coating with aluminum-based flocs: Mechanism and energy saving analysis.

The gravity-driven membrane (GDM) system is an energy-efficient and environmentally sustainable water purification process; however, after prolonged operation, its membrane flux remains relatively low, making it necessary to adopt effective strategies for improving system performance. In this study, the effects of hydrostatic pressure (60, 100, 200mbar) and pre-coating with aluminum-based flocs (ABF) on GDM flux and organic matter removal were investigated, and the regulatory mechanisms of the bio-cake layer were explored through interactions between morphological structure, composition and microbes. The results showed that the stable flux of the GDM-ABF system at a hydrostatic pressure of 60mbar was almost equal to that at 100mbar, and it outperformed higher hydrostatic pressure in organic matter removal, resulting in a more porous bio-cake layer structure. GDM-ABF system at 60mbar achieved 38.51% energy saving compared to that at 100mbar. Increased hydrostatic pressure led to a denser biofouling layer and higher EPS concentrations, whereas pre-coating reduced the EPS concentration and resulted in a looser biofouling layer. Hydrostatic stress and pre-coating determined membrane fouling by regulating microbial communities and key metabolites. Increasing hydrostatic pressure down-regulated arginine and proline metabolism and aggravated membrane fouling, while pre-coating ABF up-regulated arginine and proline metabolism, down-regulated galactose metabolism, and alleviated the membrane fouling. Hydrostatic stress and pre-coating altered the abundance of keystone species involved in extracellular polymeric substances (EPS) formation within the bio-cake layer. Pre-coating with ABF at low hydrostatic pressure can achieve stable flux and effective water purification in GDM systems, similar to high hydrostatic pressure conditions, with the added benefits of being more environmentally friendly and low-carbon. This study proposes a strategy to balance flux and energy consumption in GDM systems, providing theoretical and technical support for the efficient application of GDM technology in membrane water treatment processes.

Environmental and biomedical applications of 2D transition metal borides (MBenes): recent advancements.

Recently, interest has surged in the environmental and biomedical applications of two-dimensional transition metal borides, commonly referred to as MBenes. These materials have emerged as promising candidates for energy storage devices, such as batteries and supercapacitors. Additionally, MBenes have shown remarkable catalytic activity due to their high surface area and tunable electronic properties. They exhibit significant promise in various catalytic applications, particularly in nitrogen reduction reactions (NRRs), electrocatalytic conversion of nitrogen oxides, and several electrochemical reactions such as the oxygen evolution reaction (OER), oxygen reduction reaction (ORR), and hydrogen evolution reaction (HER). Notably, MBenes have shown great potential in water treatment and pollutant removal applications, such as desalination and water purification. Their high water permeability, ion selectivity, and excellent stability make them suitable for efficient water treatment processes. On the other hand, MBenes are emerging as versatile materials with significant potential in various biomedical applications, particularly in biosensing, cancer therapy, and the treatment of neurodegenerative diseases. However, several challenges hinder their practical implementation in biomedical and environmental fields. One significant issue is the scalability of synthesis methods; producing MBenes in large quantities while maintaining high purity and uniformity is often complex and costly. Moreover, the stability of MBenes and their composites under different environmental and biological conditions raises concerns, as they may undergo degradation or lose their functional properties over time, which could limit their long-term effectiveness. Additionally, there is a need for comprehensive toxicity assessments to ensure the safety of MBenes in biomedical applications, particularly when interacting with human tissues or biological systems. This review aims to systematically investigate the environmental and biomedical applications of MBenes and their composites, emphasizing their unique characteristics and potential roles in addressing pressing global challenges. Furthermore, the review will identify and discuss the existing challenges and limitations in the operational performance of MBenes and their composites, providing a critical assessment of their current state in various applications.

Biomechanics identification and risk management strategy of volatile organic compound pollution sources integrated with machine learning algorithms

Microplastic pollution has emerged as a critical environmental issue, posing significant threats to aquatic ecosystems and human health. As an innovative approach, biological techniques have shown great potential in mitigating microplastic contamination in water systems. This study explores the use of biotechnological methods, such as microbial degradation and biofilm-assisted filtration, in combination with conventional water treatment processes to enhance the removal of microplastics. Focusing on Southwest China, where water pollution is exacerbated by rapid urbanization and industrial activities, the research identifies the ecological and technical challenges unique to this region. Experimental approaches include optimizing bio-coagulation using microbial consortia, assessing enzymatic degradation of common microplastic polymers, and evaluating the biomechanical interactions between biological agents and microplastic particles during water filtration. Results aim to provide insights into the efficacy and scalability of integrating biological solutions into existing water treatment frameworks. This study contributes to developing sustainable and eco-friendly strategies for addressing microplastic pollution and safeguarding water quality through biologically informed interventions.

ANALYSIS OF THE IMPACT OF GLOBAL CLIMATE CHANGE TRENDS ON THE BLOOMING OF THE DNIPRO RIVER IN THE DNIPRO-DONBAS CANAL AREA

The hydrodynamic properties of a reservoir can affect the potential for cyanobacterial blooming. Slow-flowing or stagnant waters are more conducive to blooming stability. Therefore, water with a faster flow, more intensive mixing, or higher rotation speed is less likely to develop cyanobacterial blooming. The Kremenchutske and Kamianske reservoirs have an essential impact on the blooming of the Dnieper River in the Dnieper-Donbas Canal area. Their temperature regime in the warm season favors the development of zooplankton and phytoplankton. Aquatic vegetation is most common in shallow water. Water blooming is observed in summer, and this process covers up to 70% of the area of ​​reservoirs, especially in the southern part and bays, deteriorating water quality. Higher frequency and intensity of precipitation, accompanied by longer periods of drought, can create contribute greater nutrient mobility. Longer periods of high temperatures also contribute to this process, at that there is no mixing of water layers. Cyanobacteria can quickly utilize nutrients that enter water bodies due to rainfall. Strong winds can also affect the cyanobacteria population, pushing cyanobacterial cells and colonies towards the banks, where they accumulate.These reservoirs are located in the temperate continental climate zone and belong to water bodies that warm up well. That is due to their width, which makes wind mixing possible in the middle and lower parts of the reservoirs, as a result of which the temperature is distributed evenly and horizontally. To confirm and supplement the results of field studies, statistical processing of water quality indicators of the Dnipro River in the area of ​​the Dnipro-Donbas Canal was carried out. Trends were determined by regression analysis of time series of water quality indicators. The distribution was checked for normality using the Kolmogorov-Smirnov and Shapiro-Wilk tests. Correlation analysis was performed using the Pearson parametric method and the Spearman nonparametric method. The fluctation period was determined using the spectral Fourier transform method. The comprehensive analysis made it possible to establish the factors that are the main cause of water blooming in the studied area, which makes it possible to control the necessary water treatment processes.

Tipos de Filtros que se Utilizan para el Tratamiento de Aguas Residuales

Filters used in wastewater treatment have the function of capturing solids, microorganisms and chemical compounds, contributing to the improvement of water quality and promoting its sustainability. Among the main filters are sand filters, used because of their low cost and effectiveness in removing suspended solids and reducing turbidity, taking advantage of biological, physical and chemical processes for water treatment. Activated carbon filters, available in granular (GAC) and powdered (PAC) forms, offer high adsorption capacity for specific chemical contaminants and are common in the final stages of water treatment in industrial plants. Membrane filters, which include microfiltration, ultrafiltration, nanofiltration and reverse osmosis, stand out for their efficiency in removing fine particles, microorganisms and salts, but require higher investment and maintenance. Gravel filters, ideal for their accessibility and capacity to remove basic contaminants through physical and biological processes. Sand and gravel filters are viable options for basic treatments, while activated carbon and membranes are reserved for advanced processes where high quality standards are required.

Radiolytic Elimination of Nabumetone from Aqueous Solution: Degradation Efficiency, and Degradants' Toxicity.

Advanced oxidation processes (AOPs), including ionizing radiation treatment, are increasingly recognized as an effective method for the degradation of pharmaceutical pollutants, including non-steroidal anti-inflammatory drugs (NSAIDs). Nabumetone (NAB), a widely used NSAID prodrug, poses an environmental risk due to its persistence in aquatic ecosystems and its potential toxicity to non-target organisms. In this study, the radiolytic degradation of NAB was investigated under different experimental conditions (dose rate, radical scavenging, pH, matrix effect), and the toxicity of its degradation products was evaluated. NAB was rapidly degraded at 300 Gy with prolonged irradiation. Mineralization of about 88% of NAB solutions was observed based on the evaluation of total organic carbon (TOC). The most efficient degradation of NAB occurred under N2O conditions, while it was retarded in the presence of thiourea. The water matrix components had a significant influence on the efficiency of degradation. In addition, the main degradation products were identified by LC-HRMS. Toxicity studies on different bacteria showed no significant impact of the NAB degradation products, while in silico predictive methods revealed their slightly increased toxicity compared to the parent compound, but considerably lower toxicity in comparison to its main active form 6-methoxy-2-naphthylacetic acid (MNA). Additionally, significantly lower toxicities are predicted for degradation products in N2O saturated solution. These results underline the importance of optimizing irradiation parameters for effective degradation and minimizing the formation of harmful by-products. Understanding all aspects of the AOP processes and the toxicological effects of the degradation products ensures effective mitigation of potential environmental and health risks of water treatment processes.