HS1.1.4 | Fate and transport processes of pathogens and emerging contaminants at multiple scales
Orals |
Thu, 08:30
Thu, 10:45
Thu, 14:00
EDI
Fate and transport processes of pathogens and emerging contaminants at multiple scales
Co-organized by NP6
Convener: Julia Derx | Co-conveners: Sondra Klitzke, Margaret Ellen StevensonECSECS, Yakov Pachepsky, Inge van DriezumECSECS
Orals
| Thu, 01 May, 08:30–10:15 (CEST)
 
Room 2.15
Posters on site
| Attendance Thu, 01 May, 10:45–12:30 (CEST) | Display Thu, 01 May, 08:30–12:30
 
Hall A
Posters virtual
| Attendance Thu, 01 May, 14:00–15:45 (CEST) | Display Thu, 01 May, 08:30–18:00
 
vPoster spot A
Orals |
Thu, 08:30
Thu, 10:45
Thu, 14:00

Orals: Thu, 1 May | Room 2.15

Chairpersons: Margaret Ellen Stevenson, Sondra Klitzke, Inge van Driezum
Part 1
08:30–08:35
08:35–09:05
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EGU25-21831
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solicited
Pathogen removal in sandy aquifers: lessons from multiple field and column studies for safe water supply
Gertjan Medema, Bas van der Zaan, Martin van der Schans, and Gijsbert Cirkel
09:05–09:15
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EGU25-10696
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ECS
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On-site presentation
Acar Şenol, Sarp Çelebi, Omar A. I. M. Elkawefi, S. Sevinç Şengör, Gülay Ertaş, and Kahraman Ünlü

Arsenic contamination in drinking water is a pressing global issue, with over 250 million individuals lacking access to water that meets the World Health Organization's recommended limit of 10 µg/L. Arsenic, a confirmed carcinogen, poses significant health risks, necessitating efficient and cost-effective removal strategies. Adsorption remains one of the most prevalent methods for arsenic removal, employing materials such as metal oxides, graphene-based metal oxides, nanocomposites, and carbonaceous materials and organic-metallic frameworks. One of the most researched materials for the removal of arsenic from drinking water is Zero-Valent Iron (ZVI).  However, ZVI, while widely utilized, exhibits limitations including reduced efficacy for As(III), extended reaction times, sensitivity to competing ions, narrow operational pH and DO range, and iron leaching into the water. This study explores the potential of magnetite/reduced graphene oxide (MrGO)-coated sand as an advanced alternative. MrGO's structural synergy, combining highly adsorptive magnetite nanoparticles with the enhanced stability and properties of reduced graphene oxide, addresses many of ZVI’s shortcomings. However, its application in column studies as a fixed nanoparticle remains underexplored, limited to theoretical and batch studies and pelletized or layered column studies. A novel approach to arsenic removal by integrating MrGO-coated sand and ZVI in column systems is presented in this work. The study evaluates their performance independently and in combination, focusing on removal efficiency, operational range, and cost-effectiveness. This includes the development of MrGO-coated sand for enhanced applicability in column systems and the optimization of MrGO-to-ZVI ratios to achieve maximum removal efficiency under conditions representative of real-world groundwaters. Preliminary findings suggest that MrGO-coated sand demonstrates the ability of the material to adequately remove arsenic while maintaining a broader operational conditions compared to ZVI. By investigating optimal ratios and conditions, this study aims to balance performance with economic feasibility, providing a scalable solution for arsenic-contaminated water treatment, contributing to the advancement of arsenic removal technologies and highlighting the potential of reduced-graphene-oxide-based materials in addressing critical water quality challenges.

Acknowledgement: This study is supported by TUBITAK (The Scientific and Technological Research Council of Turkey) 1001 Project with Grant Number 123Y025 and Research Fund of the Middle East Technical University, Research Universities Support Program (ADEP) with Grant Number ADEP-311-2022-11172

How to cite: Şenol, A., Çelebi, S., Elkawefi, O. A. I. M., Şengör, S. S., Ertaş, G., and Ünlü, K.: A Comparative Study of Arsenic Removal from Drinking Water Using Zero-Valent Iron (ZVI) and Magnetite/Reduced Graphene Oxide (MrGO) Coated Sand in Column Systems, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-10696, https://doi.org/10.5194/egusphere-egu25-10696, 2025.

09:15–09:25
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EGU25-19916
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On-site presentation
Joshua Larsen, Vikas Sonkar, Arun Kashyap, Rebeca Pallarés-Vega, Ankit Modi, Cansu Uluseker, Pranab Mohapatra, David Graham, and Jan-Ulrich Kreft

Antimicrobial resistance (AMR) is a silent pandemic, which is transmitted and spread through the environment. Throughout the global south, large urban areas interact with, and often exert considerable control on, both the hydrological and pollution dynamics on the rivers they are built around. Despite this, little is known about the prevalence, sources, and transport of AMR through these common, yet complex environments. Here, we quantified taxonomic and resistance genes (ARGs), sensitive and resistant bacteria (ARBs), and environmental conditions in both river water and sediment along the Musi River in Hyderabad, a city renowned for antimicrobial manufacturing and urban dominance of the river environment. We also developed estimates of urban wastewater inputs and a hydraulic model to understand the rapid changes in river flow and pollution concentrations occurring along the river length through the city. This reveals increasing, though variable, concentrations in ARGs along the river through the dry season, and stronger discrete point source and flow dilution dynamics in the wet season. The riverbed sediment stores far higher concentrations than the water column, especially in the dry season, and has more dynamic interaction with the river during the wet season. This study reveals the importance of both flow and removal dynamics in controlling AMR prevalence in the environment, in a context that is both common and expanding throughout the global south.

How to cite: Larsen, J., Sonkar, V., Kashyap, A., Pallarés-Vega, R., Modi, A., Uluseker, C., Mohapatra, P., Graham, D., and Kreft, J.-U.: AMR pollution dynamics determined by the untreated wastewater domination of both the hydrology and point source loads to the Musi River, Hyderabad, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-19916, https://doi.org/10.5194/egusphere-egu25-19916, 2025.

09:25–09:35
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EGU25-21206
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On-site presentation
Laura Richards, George J. L. Wilson, Ajmal Roshan, Farah T. Ahmed, Mariel Perez-Zabaleta, Santiago Nicolás Otaiza-González, Sara Rodríguez-Mozaz, Zeynep Cetecioglu, and David A. Polya

Aquatic pollution from emerging contaminants, including antibiotics and antimicrobial resistance (AMR) genes, is an important environmental concern particularly pertinent in megacities such as Bangkok, Thailand, impacted by rapid urbanization and massive water demand.  Using a suite of environmental and hydrogeochemical tracers including inorganics and organics, nutrients, metal(loids), select antibiotics and AMR genes [1, 2], we characterize the distribution and spatial patterns of a range of contaminants in a ~ 150 km transect of the Chao Phraya River Basin in Thailand capturing areas both upstream and downstream of Bangkok.  A range of antibiotics and AMR genes were identified in parts of the transect and downstream trends are investigated.  Co-occurrence between selected antibiotics and AMR genes was not statistically significant, although other significant hydrogeochemical relationships (e.g. between pH and selected AMR genes) were observed, suggesting complex controls and selection pressures.  Comparisons are made with the types and concentrations of similar compounds detected in other major river and groundwater systems near other rapidly developing cities in South Asia (e.g. Patna, India) [3-5].  This work highlights the added interpretive value of a comprehensive range of analytes and provides insight on the potential co-occurrence of antibiotics, antimicrobial resistance genes and wastewater indicators that may be observed in surface waters in such settings.

Acknowledgements: We acknowledge support from a UKRI ODA allocation (via UoM to DP et al), a UoM-KTH strategic partnership seedcorn award (to LAR & ZC), a UKRI Future Leaders Fellowship (MR/Y016327/1 to LAR et al), a DKOF (to LAR), Cookson Studentship (to AR), and the Resistomap team.

References: [1] Larsson & Flach, Nature Reviews Microbiology, 2022, https://doi.org/10.1038/s41579-021-00649-x; [2] Hutinel et al., Science of the Total Environment, 2022, https://doi.org/10.1016/j.scitotenv.2021.151433; [3] Wilson et al., Environmental Pollution, 2024, https://doi.org/10.1016/j.envpol.2024.124205; [4] Richards et al., Environmental Pollution, 2023, https://doi.org/10.1016/j.envpol.2023.121626; [5] Richards et al., Environmental Pollution, 2021, https://doi.org/10.1016/j.envpol.2020.115765.

How to cite: Richards, L., Wilson, G. J. L., Roshan, A., Ahmed, F. T., Perez-Zabaleta, M., Otaiza-González, S. N., Rodríguez-Mozaz, S., Cetecioglu, Z., and Polya, D. A.: Co-occurrence of antibiotics, antimicrobial resistance genes and wastewater indicators in surface waters near Bangkok, Thailand: Characterization, Distribution & Controls, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-21206, https://doi.org/10.5194/egusphere-egu25-21206, 2025.

Part 2
09:35–09:45
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EGU25-12827
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On-site presentation
Katarzyna Styszko, Justyna Pamuła, Elżbieta Sochacka-Tatara, Agnieszka Pac, and Barbara Kasprzyk-Hordern

 Waterwater-based epidemiology (WBE) may be able to monitor public health emergencies by analyzing human urinary biomarkers in wastewater. This work proposes a novel approach utilizing WBE for the spatial and temporal evaluation of PAHs exposure using hydroxyl derivatives of PAHs. These are 1-hydroxynaphthalene, 2-hydroxynaphthalene, 2-hydroxyfluorene, 9-hydroxyfluorene, 9-hydroxyphenanthrene, 1-hydroxypyrene and 3-hydroxybenzo(a)pyrene. Most target markers were found at quantifiable concentrations in raw and treated wastewater. The total loads identified in raw sewage ranged from 88.33 g/day  to 154.77 g/day during the summer period and from 137.66 g/day to 283.78 2 g/day during the winter period. The obtained results for the removal efficiencies of OH-PAHs indicate a seasonal dependency in their degradation. Removal efficiencies were higher in January compared to August.

The results of the back calculations allowed to estimate that during the summer, on average, a resident of Krakow could absorb approximately 2.1 µg of the assessed OH-PAHs per day, while in winter, this value increased to 4.1 µg. This is close to the reported in the literature value that the total daily exposure to OH-PAHs is estimated at 3 µg/day.

Moreover, the risk quotation (RQ) values on the base of acute and chronic data base for compounds present in effluents were calculated. The RQ values in January were relatively low, but in August the RQ values were higher, indicating a high concentration of effluent and nitrogen in summer as these compounds were removed in winter and summer.

To the authors’ knowledge, this is the first time wastewater profiling of OH-PAHs in wastewater for the evaluation of exposure to PAHs have been used, also their removal as well emission with effluent were determined. 

How to cite: Styszko, K., Pamuła, J., Sochacka-Tatara, E., Pac, A., and Kasprzyk-Hordern, B.:  Estimate public exposure to PAHs and environmental risks through wastewater-based epidemiology, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-12827, https://doi.org/10.5194/egusphere-egu25-12827, 2025.

09:45–09:55
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EGU25-10607
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ECS
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On-site presentation
Hao Wang, Anouk Blauw, Jos van Gils, Eline Boelee, and Gertjan Medema

The risk of infection by enteric pathogens in bathing waters is generally indicated by monitoring fecal indicator bacteria (FIB) concentrations. Mechanistic models are efficient tools for predicting FIB concentrations and corresponding contributions from various impact factors based on historical records and different climatic scenarios. However, most existing FIB physicobiochemical models are limited by the availability of FIB observations and knowledge of the physicobiochemical processes. Modeling studies that performed advanced sensitivity analyses or model comparisons to disentangle the contributions from different processes and impact factors, are rare.

To enhance the understanding of the relative importance of the various processes that affect FIB concentrations in different aquatic systems, we developed a comprehensive and generic FIB physicobiochemical model, including an improved die-off module and sediment interaction module. The new die-off module includes a cumulative endogenous photo-inactivation. By developing the relationship between dissolved organic carbon (DOC) concentrations and Ultraviolet diffuse attenuation coefficients, the module calculates the Ultraviolet-A (UVA) and Ultraviolet-B (UVB) extinction by waters. The penetrated UVA + UVB light under different wavelengths is used for endogenous photoinactivation rate calculation via the biological weighting function.  Distinct from using a constant partition rate in previous sediment interaction modules, the new sediment interaction module calculates the dynamic partition rate based on not only suspended sediment (SS) concentrations but also its composition via two different classes of SS: sand and clay.

Separate validation of the two sub-modules demonstrated the reliability of our modeling approach. Contrary to previous die-off modules, our new die-off module implied an improvement after adding UV endogenous photo-inactivation. According to sediment interaction module validation, the dynamic partitioning coefficient can reasonably allocate E. coli between water and sediment through sedimentation and resuspension, which is an essential precondition for incorporating sediment into the model as a reservoir for E. coli.

The sensitivity analysis result showed that 1) photo-inactivation is important in low DOC waters, but not in high DOC waters since the UV penetration is limited; 2) The impact of sediment interaction is insignificant under steady E. coli input conditions, but vital during and after a peak event. Interactions with sediments can extend the half-life of E. coli in water columns up to four times after a peak event.

This work demonstrated the significance of sediment interactions and DOC concentrations for predicting the duration of episodes of insufficient bathing water quality. The new generic module enables better simulation of bathing water quality across different types of aquatic environments and conditions. Future applications can choose processes selectively from the new FIB physicobiochemical model and couple it with hydrological or hydrodynamic models to address specific environmental conditions and research purposes.

How to cite: Wang, H., Blauw, A., van Gils, J., Boelee, E., and Medema, G.: Innovative modeling of the physicobiochemical determinants of fecal indicator bacteria, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-10607, https://doi.org/10.5194/egusphere-egu25-10607, 2025.

09:55–10:05
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EGU25-11562
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Highlight
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On-site presentation
Marc-Antoine Mant, Elodie Robert, Manuela Grippa, Laurent Kergoat, Moussa Boubacar moussa, Beatriz Funatsu, Javier Perez Saez, Rochelle Newall Emma, and Marc Robin

In 2021, diarrheal diseases were responsible for around 1.17 million deaths worldwide. Sub-Saharan Africa is one of the most impacted regions, where 440,000 deaths were recorded in 2024. This high mortality rate can be explained by 1) significant bacteriological pollution of surface waters by pathogenic micro-organisms responsible for diarrheal diseases, 2) widespread use of untreated water by the population and3) lack of sanitation and community health infrastructures. In addition, ongoing climate change is likely to have a negative impact on water quality, and potentially increase the presence and transmission of pathogens.

Tele-epidemiology, the combination of satellite observations and epidemiology, is a powerful tool for studying climate-environment-health relationships and for understanding and predicting the spatio-temporal distribution of pathogens and diseases through the use of satellite and in-situ data. We aim at using this method to indirectly monitor water quality and reveal environmental factors conducive to the emergence of critical health situations by modeling the dynamics of E. coli in West Africa. E. coli is considered the best indicator of faecal contamination (IFC) in temperate zones, and is recommended as a proxy for assessment of water contamination. In Burkina Faso, Robert et al (2021) demonstrated a significant correlation between E. coli, intestinal enterococci and cases of diarrhea. E. coli therefore appears to be a good IFC in West Africa, and would be relevant for predicting diarrheal diseases.

The first objective is to study the links between E. coli concentration in water and environmental parameters 1) measured in-situ in West African surface waters (Bagre reservoir in Burkina Faso and Kongou - Bangou Kirey in Niger) from 2018 to 2024 (concentration of suspended particulate matter, particulate organic carbon, etc.), 2) measurable by satellite (surface water reflectances mesured by Sentinel-2) or 3) estimable by satellite algorithm (precipitation, hydrometeorological parameters, NDVI, etc.). We then use key environmental parameters to model the concentration of E. coli in these sites over several years, firstly using all parameters, and then only using satellite data to study their robustness. Various machine learning models (Random Forest, SVM, KNN, etc.) were tested and compared with each other (calculation of R², RMSE, MSE and MAPE). 

For the Bagre site, the best model of E. coli concentration had showed a R² of 0.76 (RMSE 0.49 log10 MPN/100mL) using in-situ and satellite data, and R² of 0.69 with only satellite data (RMSE 0.56 log10 MPN/100mL). For Kongou, the best model had showed a R² of 0.7 using in-situ and satellite data, and R² of 0.65 with only satellite data.

This work will allow to create health hazard indices that can be used by public health players, firstly in West Africa without the need to collect data in the field, and then more generally for other sites facing similar public health problems.

How to cite: Mant, M.-A., Robert, E., Grippa, M., Kergoat, L., Boubacar moussa, M., Funatsu, B., Perez Saez, J., Emma, R. N., and Robin, M.: Temporal modeling of surface water bacteriological quality in West Africa using remote sensing and machine learning methods, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-11562, https://doi.org/10.5194/egusphere-egu25-11562, 2025.

10:05–10:15
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EGU25-19192
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On-site presentation
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Demetrios G. Eliades, Stelios G. Vrachimis, Pavlos Pavlou, and Marios Kyriakou

Disinfection of water in distribution systems is essential for ensuring the microbiological safety of drinking water. However, disinfection byproducts (DBPs) are chemical compounds formed when disinfectants, such as chlorine, react with natural organic matter (NOM) and other constituents in water. The formation of DBPs in drinking water distribution systems can pose health risks, including cancer and reproductive issues, necessitating robust strategies to predict and mitigate their presence.

As part of the EU-funded IntoDBP project, a comprehensive real-world case study was conducted in Limassol, Cyprus, to investigate DBP formation within a water distribution system. The study included monitoring the hydraulic and water quality states of the system, from the Drinking Water Treatment Plant (DWTP) to end-users. This complete system perspective allowed for the evaluation of key factors affecting DBP formation, such as water source characteristics, residence time, and chlorination practices.

This work presents the process of creating a DBP modeling tool, detailing the methods used to address challenges related to the integration of heterogeneous data sources. Data from the DWTP, re-chlorination points, and distribution nodes were harmonized to ensure accurate representation of both hydraulic conditions and chemical reactions. Models capable of predicting DBP formation were developed as part of the study, with a specific focus on trihalomethanes (THMs) and haloacetic acids (HAAs). These models were validated using real-time data from sensors and manual sampling.

Alongside these models, a GIS-based software tool was developed to explore strategies for minimizing DBP levels within distribution networks. This tool visualizes data from multiple sources, including SCADA systems, water quality sensors, and GIS data, enabling dynamic simulations and scenario testing. Advanced simulation techniques using EPANET-MSX facilitated the simulation of multi-species reactions and the incorporation of uncertainties, such as variations in source water composition and operational conditions. The tool provides researchers and practitioners with the capability to evaluate and optimize chlorination practices, water mixing strategies, and operational configurations to mitigate DBP risks effectively.

Results from the case study highlighted the critical role of water residence time and source water composition in DBP formation. Nodes farther from chlorination points and those receiving water with higher NOM levels exhibited elevated DBP concentrations, emphasizing the importance of optimizing hydraulic and chemical parameters throughout the distribution system. The developed software tool demonstrated the potential of integrating GIS and hydraulic data with chemical analyses. It also showed promise in evaluating various mitigation strategies, including dynamic chlorination schedules and adjustments in flow management, within a realistic setup. This tool offers a valuable resource for researchers and water utility operators, providing a benchmark platform for developing and validating innovative DBP management strategies.

How to cite: Eliades, D. G., Vrachimis, S. G., Pavlou, P., and Kyriakou, M.: Development and Validation of a GIS-Based Tool for Disinfection Byproduct Formation Prediction in Water Distribution Systems, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-19192, https://doi.org/10.5194/egusphere-egu25-19192, 2025.

Posters on site: Thu, 1 May, 10:45–12:30 | Hall A

Display time: Thu, 1 May, 08:30–12:30
Chairpersons: Sondra Klitzke, Margaret Ellen Stevenson, Julia Derx
A.1
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EGU25-205
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ECS
Ran Wei, Anh Van Le, Binlong Liu, Mohammad Azari, Wolfgang Nowak, Andreas Kappler, and Sergey Oladyshkin

Elevated ammonium (NH4+) concentrations in groundwater (GW) pose significant challenges to existing GW treatment systems, particularly in simplified systems such as household sand filters (HSFs), which are widely used in developing countries. We previously conducted a series of column experiments (sand filter materials collected in Hanoi, Vietnam) mimicking HSFs. These experiments revealed limited and fluctuating NH4+ removal, highlighting the need for a comprehensive process-based model to elucidate the complex interplay of physical and biochemical processes that influence NH4+ concentration dynamics in these systems. Here, we established a one-dimensional advective-dispersive-reactive model conditioned on data from column experiments under laboratory (artificial GW inflow with sand materials from local HSFs) and field conditions (natural GW inflow with sand materials from local supplier), accounting for temporal variations in reaction kinetics, transport processes, and a previously unconsidered inter-phase transfer process for nitrate (NO3-). The modeled breakthrough curves capture the complex dynamics of NH4+, nitrite (NO2-), and NO3- concentrations under both laboratory and field conditions. The reaction rates of the nitrogen species show strong hysteresis in response to substrate (NH4+ and NO2-) concentrations, suggesting that potential lags in the biochemical reactions caused by inhibitions and low retention time lead to the incomplete NH4+ removal. Our scenario analysis indicates that, without inhibition effects, the current bio-reactive environment could reduce NH4+ concentrations to the legal target level (within up to eight hours retention time under field conditions). This study represents one of the few process-based modeling efforts mimicking HSFs. Future modeling research should parameterize various inhibition effects into the existing reactive transport models in order to gain quantitative insight into enhancement methods for HSFs.

How to cite: Wei, R., Le, A. V., Liu, B., Azari, M., Nowak, W., Kappler, A., and Oladyshkin, S.: Modeling the Ammonium Removal Processes in Household Sand Filters, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-205, https://doi.org/10.5194/egusphere-egu25-205, 2025.

A.2
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EGU25-3798
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ECS
Margaret E. Stevenson, Liping Pang, Andreas H. Farnleitner, Gerhard Lindner, Alexander K.T. Kirschner, Alfred P. Blaschke, and Regina Sommer

Cryptosporidium parvum is a pathogen causing gastrointestinal infections, occasionally leading to death in immunocompromised individuals. It can contaminate surface water and groundwater, and consequently drinking water supplies, through agricultural activities such as cattle and dairy farming or the spreading of manure as fertilizer. The importance of removing C. parvum by filtration is of great interest because of its long-term persistence in water as oocysts and its resistance to chemical disinfection owing to its thick cell wall. This is relevant for both subsurface filtration and engineered filtration processes. Therefore, it is necessary to evaluate its removal efficiency in subsurface media and during the filtration stage of drinking water treatment. This study aimed to select an appropriate surrogate for C. parvum oocysts that exhibits similar attenuation and transport behaviour through porous media, is cost-effective, and poses no harm to humans or the environment, enabling its application in engineered installations and field studies.

Bacillus subtilis is commonly used as a conservative surrogate for C. parvum for subsurface transport studies, and aerobic spores have been included by the U.S. Environmental Protection Agency as an indicator for C. parvum in groundwater under the direct influence (GWUDI) of surface water. While B. subtilis may be a cost-effective option, its smaller size (nearly 6 times smaller in diameter), different shape (rod-shaped vs. spherical), and distinct surface characteristics present limitations. This study evaluated the attenuation and transport of B. subtilis spores, oocyst-sized unmodified (yellow-green and yellow-orange) and glycoprotein-coated microspheres, along with UV inactivated C. parvum in columns packed with silica sand. The objective was to determine the significance of size, surface charge, and macromolecules on the cell wall surface, on the reduction of the oocysts. Glycoprotein-coated microspheres, exhibiting similar physicochemical properties (including macromolecules) to oocysts, were found to be the most effective surrogate. The study results highlight the importance of selecting appropriate surrogates for accurate evaluation of the transport of C. parvum in the subsurface and its removal in water treatment through sand filtration.

How to cite: Stevenson, M. E., Pang, L., Farnleitner, A. H., Lindner, G., Kirschner, A. K. T., Blaschke, A. P., and Sommer, R.: Selecting an Appropriate Surrogate for Assessing Filtration Removal of Cryptosporidium parvum for Water Treatment Applications, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-3798, https://doi.org/10.5194/egusphere-egu25-3798, 2025.

A.3
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EGU25-1106
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ECS
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Virtual presentation
Smitakshi Medhi and Runti Choudhury

Abstract

Arsenic (As) contamination in groundwater is a serious environmental and public health issue, particularly in regions where groundwater is a primary source of drinking water. Many Asian countries, particularly Bangladesh, India and parts of Southeast Asia are adversely affected with As contaminated aquifers. The present study thus aims to explore the source, distribution and release mechanism of As into the groundwater in the parts of southern bank of the Upper Brahmaputra floodplains in Assam, India.  Groundwater samples (n=100) were collected from the shallow aquifers (< 30 m) from two the districts Jorhat and Golaghat, and were analysed for major ions (Ca2+, Na+, K+, Mg2+, Cl-,HCO3-, NO3-,SO42-) and trace elements (As, Fe, Mn, Pb, Co, Cu, Zn). Concentration of As, Fe and Mn in the aquifers has exceeded the permissible limits set by WHO (World Health Organisation) posing serious threat to human health. 54% of groundwater samples have exceeded WHO permissible limit of 10 µg/L for As (range: bdl (below detection limit) to 480 µg/L, mean: 31µg/L). While 94% (range: 0.076 mg/L to 41.37 mg/L, mean: 10.92) and 77% (range: 0.002 mg/L to 9.06 mg/L, mean: 0.6 mg/L) of groundwater samples have exceeded the WHO permissible limit of 0.3 mg/L and 0.05 mg/L for Fe and Mn respectively. Aquifers enriched with As was found adjacent to Naga foothills while low As was found near the Brahmaputra river. Aquifer lithology reveals the presence of thick clay layer near the Naga hills (also indicated by higher Al2O3 in the sediments) and subsequently minerals like illite and kaolinite was found in these clay layers (confirmed by the XRD peaks). The clay minerals might have acted as the active site for adsorption of As, thus acting as the host for As in the studied region. Moreover, the average value (mean: 80) of Chemical Index of alteration (CIA) indicates intense chemical weathering at the source area in warm and humid condition leading to formation of copious amount of clay minerals like kaolinite. No strong co relation was seen between As and the redox sensitive elements viz; Fe and Mn, nor with HCO3, NO3 or SO4 indicating multitudinous processes or reactions viz competitive exchange with anion, reductive dissolution and pH dependent sorption might have control the release of As in the studied region. Higher LREE compared to HREE indicates the source of these clastic sediments could be from felsic or intermediate composition of rocks. Principle Component Analysis (PCA) and cluster analysis indicated the dominance of geogenic factors as the main contribution of these contaminants in the groundwater of the study area. Regular monitoring and intervention of groundwater in the region is crucial for its prolong use. The present study will assist stakeholders and policy maker in taking evidence-based decision and providing As safe drinking water to the affected communities

Key words: Arsenic; Groundwater; Brahmaputra floodplains; Sediment Geochemistry; Hydrochemistry

How to cite: Medhi, S. and Choudhury, R.: Arsenic toxicity in Groundwater of Brahmaputra Floodplains of Assam, India: Concerns for drinking water quality, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-1106, https://doi.org/10.5194/egusphere-egu25-1106, 2025.

A.4
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EGU25-4185
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ECS
Alessandro Ghirotto, Valentina Prigiobbe, Maria Clementina Caputo, Osvalda De Giglio, Giorgio Cassiani, Mert Çetin Ekiz, Antonietta Celeste Turturro, Antonella Francesca Savino, Debora Colella, Gavin Barboza, Mirco Milani, and Marco Verani

The transport of pathogens through rocks is often regarded as negligible unless there are fractures in the medium. However, sedimentary rocks may have a porosity that allows the migration of pathogens even when they are unfractured.
In this work, we investigated the transport behavior of several pathogens (namely Escherichia coli and Enterococci faecalis) through a sedimentary porous rock made of 98.5 wt.% of calcite (CaCO3), hydraulic conductivity 6·10−6 m/s, and porosity 0.43. Core flooding experiments were performed under variable head conditions, ensuring full saturation of the samples. During the experiments, the flow and pathogen concentration were monitored. After an initial stabilization of the core, a suspension containing a known concentration of pathogens was superimposed onto the sample and allowed to drain through. Upon complete suspension drainage, several cycles of sterile saline solution (0.9 vol.%) were performed until the pathogen concentration at the outlet became negligible. A reactive transport model through saturated porous media was developed and implemented to describe the tests. The model couples conservation laws for flow and transport under variable head conditions with constitutive equations of straining and attachment/detachment. The data show significant retention of pathogens within the core during suspension drainage and rapid mobilization during distilled water infiltration. This behavior is well captured by the model and shows that rocks can act as bioreactors for pathogens that favor accumulation and growth during loading and mobilization during flooding with low-salinity water. This may suggest that porous rock deposits may exacerbate contamination of the underlying aquifers under intermittent conditions of accumulation/growth and release rather than protecting underground water resources, as generally assumed.
This topic is the objective of DY.MI.CR.ON. project “Predictive dynamics of microbiological contamination of groundwater in the earth critical zone and impact on human health (DY.MI.CR.ON Project)” funded by the European Union – Next Generation EU, mission 4 component 1, CUP I53D23000500001.

How to cite: Ghirotto, A., Prigiobbe, V., Caputo, M. C., De Giglio, O., Cassiani, G., Ekiz, M. Ç., Turturro, A. C., Savino, A. F., Colella, D., Barboza, G., Milani, M., and Verani, M.: Transport of pathogens in saturated porous rocks under variable flow and salinity, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-4185, https://doi.org/10.5194/egusphere-egu25-4185, 2025.

A.5
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EGU25-7415
Yakov Pachepsky, Matthew Stocker, Jaclyn Smith, James Widmer, Dana Harriger, Donjin Jeon, Billie Morgan, Seokmin Hong, Andrew van Tassel, Insuck Baek, Laurel Dunn, Alisa Coffin, Oliva Pisani, and Moon Kim

 

Streams and ponds used for local irrigation tend to demonstrate high spatiotemporal variability of water quality. Microbial water quality monitoring becomes overly resource-demanding if the water quality metrics are treated as purely random values. Research on several irrigation ponds and streams showed relatively stable spatial patterns of microbial and other water quality metrics. Detection of those patterns was achieved by setting 20 to 30 monitoring locations, visiting each location seven to ten times during the irrigation season, measuring the water quality metrics at each location with in situ sampling in water samples, computing relative differences between the measurements in each sampling location, computing the average value of those measurements across the water source for each visit, and finally computing the mean relative differences (MRD) for each location over all the visits. Positive MRDs indicated the preponderance of elevated values of water quality variables, and negative MRDs indicated the prevalence of low values. The nearshore locations typically had the largest MRD in ponds, and the locations with more populated stream reaches. 

Unmanned aerial vehicles were used for multispectral imaging of some ponds on each visit to several ponds before the water sampling. Both reflectance and remote sensing indices were determined at the same locations where water quality metrics were measured. The stable temporal patterns were detected for reflectance and remote sensing indices. Strong significant Spearman correlations were found between stable patterns of some water quality variables and remote sensing indices. Those correlations indicate the opportunities to use UAV-based remote sensing of irrigation water sources to inform the design of sampling water across ponds. Correlations between stable patterns of water quality variable patterns may help in developing monitoring design schemas when the more readily available water quality variable patterns are known.

Establishing temporally stable spatial patterns via the mean relative differences points to locations where monitoring locations could be placed to represent the average across the pond or stream. Also, locations with low MRDs of the microbial pollution metrics appeared to be more suitable for establishing the irrigation water intake. Overall, stable water quality patterns, when detected, can provide useful guidance for establishing and monitoring water quality for those water sources.

How to cite: Pachepsky, Y., Stocker, M., Smith, J., Widmer, J., Harriger, D., Jeon, D., Morgan, B., Hong, S., van Tassel, A., Baek, I., Dunn, L., Coffin, A., Pisani, O., and Kim, M.: Temporal stability of microbial water quality in small  irrigation water sources, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-7415, https://doi.org/10.5194/egusphere-egu25-7415, 2025.

A.6
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EGU25-8167
Julia Derx, Peter Valent, Sophia Steinbacher, Ahmad Ameen, Anna-Maria König, Katalin Demeter, Rita Linke, Regina Sommer, Gerhard Lindner, Alois W. Schmalwieser, Julia Walochnik, Alexander Kirschner, Robert L. Mach, Sílvia Cervero-Aragó, Matthias Zessner, Steffen Kittlaus, Günter Blöschl, Margaret Stevenson, Alfred Paul Blaschke, and Andreas H. Farnleitner

Transboundary rivers are crucial resources for drinking water, recreation, and irrigation. However, wastewater emissions and global environmental and demographic changes can impair raw water quality and pose risks to public health. This study aims to assess the impact of emissions from wastewater treatment plants, combined sewer overflows (CSOs), and inland waterway transport on microbiological water safety along the upper Danube River Basin (DRB).

To achieve this, we developed a stochastic mathematical model to trace pathogen load emissions throughout the river network. The model predicts concentrations of reference pathogens (Cryptosporidium, Giardia, Campylobacter, norovirus, enterovirus) in the river for current conditions and a future climate scenario represented by a selected CORDEX RCP 8.5 high emission scenario. The study estimates bathing water infection risks and determines the required pathogen logarithmic reduction in raw river water to ensure safe drinking water. The model accounts for exponential pathogen inactivation rates influenced by water temperature, solar ultraviolet radiation, and lake sedimentation (for protozoan cysts/oocysts). High-resolution navigational information based on automated identification system (AIS) data, detailing the number and location of ships, were used to model the impact of inland waterway transport. The data were aggregated into monthly average daily ship volumes across three ship types (cruise, passenger, and freight) along a section of the Danube River. Model validation was conducted using monthly data sets spanning 2–4 years, including cultivation-based standard fecal indicators, human-associated genetic fecal microbial source tracking markers (HF183/BacR287, BacHum), and reference pathogens (Cryptosporidium, Giardia). Additionally, the study investigates whether the crAssphage marker (CPQ_056) serves as a suitable proxy for human viral fecal contamination in water quality modeling, compared to standardized viral indicators such as somatic coliphages. To understand the effects of future changes on water safety, various scenarios and combinations up to the year 2100 are analyzed, including population growth (affecting wastewater emissions), climate change (impacting river discharge and microbial inactivation), advanced wastewater treatment, reduction of CSOs (in line with the recast of the European Urban Wastewater Treatment Directive), and changes in inland navigation and ship wastewater handling.

The findings indicate that tertiary treated municipal wastewater currently has the greatest impact on river water safety. However, if additional disinfection (quaternary treatment) is implemented, other pollution sources, such as ship navigation and CSOs, as well as climate change effects, will play an increasingly significant role in determining microbiological water safety.

How to cite: Derx, J., Valent, P., Steinbacher, S., Ameen, A., König, A.-M., Demeter, K., Linke, R., Sommer, R., Lindner, G., Schmalwieser, A. W., Walochnik, J., Kirschner, A., Mach, R. L., Cervero-Aragó, S., Zessner, M., Kittlaus, S., Blöschl, G., Stevenson, M., Blaschke, A. P., and Farnleitner, A. H.: Resilience to Future Changes: Assessing the Impact of Human Wastewater Emissions on Microbiological Water Safety Along the Danube , EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-8167, https://doi.org/10.5194/egusphere-egu25-8167, 2025.

A.7
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EGU25-8224
Rita Linke, Yanhe Zhou, Gerhard Lindner, Nadine Hochenegger, Tamara Borovec, Georg Reischer, Katarina Priselac, Alba Hykollari, Gabrielle Stalder, Regina Sommer, Julia Derx, and Andreas Farnleitner

To ensure the supply of clean water, we need tools to accurately predict where microorganisms of fecal origin come from, how they move in the environment and where they go to. To date, however, there have been few studies that have looked at bacterial overland transport (BOT). The current state of knowledge is mainly based on data from point sources (sewage treatment plants), whereas little is known about diffuse fecal sources from wildlife and livestock. The aim of this study is therefore to investigate the influence of the type of fecal matter (cow and red deer) as well as storage time and conditions (temperature and moisture) on resuspension and re-mobilization of (genetic) fecal indicators and/or pathogens. For this purpose standardized fecal samples from cow and deer were prepared in the laboratory and stored for different lengths of time (0 to 120 days) under diverse climatic conditions reflecting seasons. Fecal samples were then used in shaking experiments in which the samples were covered with water in Erlenmeyer flasks and placed in a shaking incubator. Different rainfall intensities were simulated by different shaking speeds (60 rpm and 85 rpm) and the effect of the rainfall duration was simulated by the duration of shaking (10 min and 60 min). Cultivation-based methods were used to determine fecal indicator organisms (FIB) such as E. coli, enterococci and Clostridium perfringens spores as well as somatic coliphages in the water. A panel of different qPCR-based DNA and/or RNA markers will then be used to determine host-associated genetic markers (qPCR). This multifactorial experimental approach provides the first quantitative estimates of the persistence and mobility of microbial target organisms in standardized fecal pellets from cattle and deer. The chosen multi-parametric and multi-method approach allows 1) comparison of culture-based with qPCR-based results and 2) comparison of RNA vs. DNA targets. NGS (next generation sequencing) data allows to draw conclusions on intestinal microbial persistence and to evaluate whether they reflect the mobilized load, an important information for the subsequent modelling approach. To summarize, the present study represents the first holistic quantitative approach to determine bacterial overland transport. The state-of-the-art combination of quantitative, microbiological and molecular methods and parameters will provide the scientific basis for accurate prediction of BOT.

How to cite: Linke, R., Zhou, Y., Lindner, G., Hochenegger, N., Borovec, T., Reischer, G., Priselac, K., Hykollari, A., Stalder, G., Sommer, R., Derx, J., and Farnleitner, A.: From the pasture to the water: multiparametric laboratory experiments to determine microbial release from feces, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-8224, https://doi.org/10.5194/egusphere-egu25-8224, 2025.

A.8
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EGU25-12690
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ECS
Yanhe Zhou, Rita Linke, Regina Sommer, Gerhard Lindner, Peter Strauss, David Ramler, Alba Hykollari, Gabrielle Stalder, Raphael Anton Schatz, Katarina Priselac, Mats Leifels, Margaret Stevenson, Katalin Demeter, Alfred Paul Blaschke, Jack Schijven, Andreas Farnleitner, and Julia Derx

Water contamination caused by enteric microbial pathogens from humans and animals poses serious risks to public health. Rainfall events can induce the release of microorganisms from feces, and the health risks posed by these pathogens to water bodies are highly dependent on their transport and survival characteristics. Novel molecular tools and diagnostic capabilities have rapidly advanced in recent years, offering significant potential to revolutionize the study of microbial contamination and transport in water bodies and to enhance the modeling of overland transport of microorganisms through the application of these advanced diagnostic methods. This study employs rainfall-release experiments and pathogen enumeration in runoff and infiltrated water to investigate bacterial release and overland transport mechanisms from fresh cow feces, aiming to address gaps in advanced molecular techniques and to assess the impacts of fecal shape and aging on the precise quantification of bacterial overland transport (BOT).

Artificial rainfall experiments are conducted on fresh cow pat samples which are placed onto bare surfaces to study bacterial release and onto small scale undisturbed soil plots to study bacterial overland transport. The experimental setup includes three rainfall intensities (40 mm/h, 60 mm/h and 80 mm/h) and two slopes (5% and 25%). In addition, the effects of different fecal shapes are investigated (large and small surface area-to-volume ratios). The quantitative analyses are done for different microbial parameters (FIB, bacterial MST markers) using both culture-based and qPCR-based methods and the effects of experimental setups, microbial parameters, and enumeration methods will be compared and evaluated. The release will be modelled using the Bradford-Schijven model formulations, and Kineros2/STWIR will be used for modelling the BOT.

This study will improve the understanding of the release and transport of manure-borne pathogens from fresh cow pats and provide a more precise quantitative approach to measuring BOT using advanced diagnostic methods.

How to cite: Zhou, Y., Linke, R., Sommer, R., Lindner, G., Strauss, P., Ramler, D., Hykollari, A., Stalder, G., Anton Schatz, R., Priselac, K., Leifels, M., Stevenson, M., Demeter, K., Paul Blaschke, A., Schijven, J., Farnleitner, A., and Derx, J.: Multiparametric Modeling of Bacterial Release and Overland Transport from Feces: Insights from Rainfall Experiments and Molecular Diagnostic Tools , EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-12690, https://doi.org/10.5194/egusphere-egu25-12690, 2025.

A.9
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EGU25-13044
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ECS
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Lisa Michael, Eleonora Flores, Silke Pabst, and Sondra Klitzke

Nitrification (NI) and urease inhibitors (UI) are added as organic trace substances to agricultural land during the application of nitrogen and urea fertilizers. They inhibit the nitrification processes and urease activity in soil and thus ensure a reduced emission of gaseous ammonia and nitrous oxide. The application of UI has been mandatory since 2020 following the amendment to the German Fertilizer Ordinance, which means that increased use is to be expected. The substances can enter surface waters through translocation and leaching processes in soils. So far, the stability of NI and UI in the aqueous phase has only been investigated in ultrapure water and tap water. Therefore, the aim of this study was to investigate the stability of five NI, i. e. 1H-1,2,4-triazoles (triazole), dicyandiamides (DCD), 3,4-dimethylpyrazoles (3,4-DMP), 3-methylpyrazoles (3-MP), N-((3(5)-Methyl-1H-pyrazol-1-yl)methyl)acetamid (MPA) and one UI, i. e. N-(2-nitrophenyl)phosphoric acid triamide (2-NPT), in two natural surface waters at 20 °C and at different pH values (i. e. pH 5, 7 and 9) using batch experiments. We distinguished between the processes of hydrolysis, sorption and microbial degradation. Hence, three differently treated triplicate batch samples were set up after the removal of suspended matter (> 0.63 mm). To investigate hydrolysis, the test water was filtered through a 0.22 μm polyamide membrane. For the investigation of sorption on suspended solids, a sodium azide solution was added to the water to inactivate microorganisms (final concentration in batch samples 100 mg/L). To investigate microbial degradation, the test water was used in its natural composition. pH values were adjusted using dilute HNO3 and NaOH, respectively. The six inhibitors were added as a mixture to each batch sample with a target concentration of 5 μg/L each. Batch samples were taken, subsequently filtered (0.45 µm, regenerated cellulose) and measured by HPLC-MS/MS over a period of 8 days for the sorption tests and 83 days for the hydrolysis and microbiological degradation experiments.

None of the investigated inhibitors showed any sorption on suspended solids. With regard to hydrolysis and microbial degradation, the results differed depending on inhibitor and pH. For MPA no decomposition by hydrolysis could be detected at all three pH values. However, MPA was microbially degraded at pH 7 and pH 9 and was no longer detectable after about 55 days. 2-NPT was hydrolytically degraded at pH 5 and 9 over the entire test period, but no hydrolysis was observed at pH 7. At pH 7, no microbial degradation could be detected for 70 days. Thus, 2-NPT is persistent at pH 7. At pH 9, our results did not show any microbial degradation for 2-NPT. The stability of inhibitors in surface waters is driven by hydrolysis and microbial degradation and may vary greatly with pH.

How to cite: Michael, L., Flores, E., Pabst, S., and Klitzke, S.: Stability of selected nitrification and urease inhibitors in surface water, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-13044, https://doi.org/10.5194/egusphere-egu25-13044, 2025.

A.10
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EGU25-13064
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ECS
Antonia Zieger, Eleonora Flores, Silke Pabst, and Sondra Klitzke

Nitrification and urease inhibitors (NI,UI) added to fertilisers can increase the availability of nitrogen to plants. By inhibiting certain processes, they could contribute to a reduction in the emission of N2O and NH3 compounds and a reduction in nitrate leaching. Some of these substances have already been detected in surface water and groundwater and are considered to be harmful to human health. The inhibitors are therefore an area of conflict between climate change mitigation and increased fertiliser efficiency on the one hand, and soil and groundwater protection on the other. However, knowledge of their abiotic and biotic degradation in water and saturated sediment systems is currently very limited.

The aim of this study is to determine the fate of the 6 most commonly used inhibitors 1H-1,2,4-Triazol (Triazole), Dicyandiamide (DCD), 3,4-Dimethylpyrazol (3,4-DMP), N-[(3 or 5-methyl-1H-pyrazol-1-)methyl]acetamid (MPA), 3-Methylpyrazol (3-MP) and N-(2-Nitrophenyl) phosphoric triamide (2-NPT) in surface water and saturated sandy sediments.

Triplicate batch samples containing either saturated water-sediment mixtures (solid-solution-ratio 1:3) or surface water only were spiked with six inhibitors (target concentration 1.5 µg/L each). Both sets were maintained under biotic or abiotic (autoclaved water and sediment) conditions at room temperature. The supernatant was sampled periodically for 90 days and analysed for inhibitors, pH, dissolved organic carbon and electrical conductivity.

None of the inhibitors were sorbed to the sediment except Triazole, which showed only minimal sorption of less than 10%. The urease inhibitor 2-NPT was partly decomposed by hydrolysis alone under the studied pH between 7-8.6. Degradation in general was most pronounced in the biotic water-sediment mixture where DCD and MPA were completely degraded and 3,4-DMP, 2-NPT and 3-MP were partially degraded. The Inhibitor MPA was very susceptible to biodegradation even in surface water, however, its forming metabolite 3-MP is not. Triazol was not degraded under any conditions in this study.

With the exception of Triazole, saturated sediments (for instance in a bank filtration scenario) could probably reduce most of the inhibitors’ concentrations if the microbial community is intact. However, four out of six inhibitors were not completely degraded even under biotic conditions within 90 days, making them susceptible to breakthroughs into groundwater. Therefore, their fate in the environment should be studied further.

How to cite: Zieger, A., Flores, E., Pabst, S., and Klitzke, S.: Fate of urease and nitrification inhibitors in surface water and saturated sediment, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-13064, https://doi.org/10.5194/egusphere-egu25-13064, 2025.

A.11
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EGU25-15223
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ECS
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Nongdren Lourembam and Kumar Raja Vanapalli

Cigarette smoking and its negative health effects are well documented; however, the environmental impacts of cigarettes are poorly understood. Moreover, considering cigarette butts (CBs) as one of the most littered items globally, exploring the relative environmental effects of different end-of-life (EoL) pathways is essential to design effective mitigation strategies. So, the objective of this study is to identify the environmental hotspots across the cigarette lifecycle—both upstream and downstream of consumption—and to compare the environmental impacts of three potential EoL pathways of the CBs using a comprehensive cradle-to-grave life cycle assessment (LCA). The results depicted that cigarette manufacturing accounted for the highest environmental impact (98.36%) among the upstream processes of the cigarette life cycle. Especially human carcinogenic toxicity emerged as the highest potent impact category (0.168 kg 1,4-DCB), followed by freshwater eutrophication (0.0014 kg P eq.) and freshwater ecotoxicity (0.0525 kg 1,4-DCB) for a single cigarette production. Additionally, the cigarette consumption phase also depicted the highest environmental impacts contributing to human carcinogenic toxicity (96.3%), primarily due to the release of hazardous air pollutants during smoking. Further, the relative environmental impacts of three EoL scenarios were analysed for a CB—incineration, littering and landfilling disposal. Among the EoL scenarios analysed, littering of CBs caused the highest environmental impacts, mainly due to the leaching of toxic contaminants into water bodies. Despite evidence that CBs contain over 150 highly toxic chemicals with carcinogenic and mutagenic properties, the lack of detailed, standardized databases for these substances limits the precision of environmental impact analyses. Future research should address this gap by developing comprehensive databases and standardized methodologies to incorporate the specific contaminants in CBs. Such advancements are essential for a more accurate and holistic evaluation of the environmental pollution associated with CB disposal and to guide effective mitigation strategies.

How to cite: Lourembam, N. and Vanapalli, K. R.: Life cycle assessment of Cigarette from cradle to grave: Identifying environmental hotspots and end-of-life scenario analysis, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-15223, https://doi.org/10.5194/egusphere-egu25-15223, 2025.

A.12
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EGU25-16076
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ECS
Integrating Machine Learning and Phydrus to Evaluate E. coli Contamination Risks from Livestock Manure in Chinese Agricultural Soils
(withdrawn)
Fengxian Chen
A.13
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EGU25-16997
Arnaut van Loon, Inge van Driezum, Tessa Pronk, and Sharon Clevers

Pesticides have been found in surface water and groundwater sources for decades. They are not only widely considered as a major threat for these waters, but also for drinking water. Not only pesticides that are still authorized by the European Commission can be found in the sources for drinking water, also banned compounds, such as atrazine (banned in 2007), still cause exceedances of environmental threshold values (as measured in 2020).

A comprehensive study was conducted in Dutch drinking water sources analyzing pesticides and their metabolites in both surface water and groundwater. Observations in surface water sources were divided in intake water and pre-treated water. For groundwater sources, observations were divided in observation wells, individual abstraction wells and all abstraction wells per particular drinking water abstraction station. Dutch drinking water standards were used as a measure of the implications for drinking water production processes.

This study shows that 156 different pesticides or metabolites were found at the nine surface water intake points considered. The standard for this substance group was exceeded on several occasions at all intake points. Pesticide residues have also been found in 40% of groundwater abstractions for drinking water production, particularly in phreatic ones (77%). This also involves a diversity of different substances. Pesticide residues exceeded the standard in 20% of groundwater abstractions. The pressure on surface water quality due to pesticides as indicated by the Removal Requirement Index seems to decrease slightly in recent years, whereas the pressure on groundwater intended for drinking water production seems to increase. Due to the diversity of pesticides found in ground- and surface water, trends are not obvious. Which and how many pesticides were observed differs between observation wells, abstraction wells and the combined abstraction wells, as well as aquifer properties.

How to cite: van Loon, A., van Driezum, I., Pronk, T., and Clevers, S.: Pesticide contamination across drinking water sources in the Netherlands, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-16997, https://doi.org/10.5194/egusphere-egu25-16997, 2025.

A.14
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EGU25-8341
Monitoring the transport of nitrate and ammonium compounds in a sand soil
(withdrawn)
Demetrio Antonio Zema, Alessandro Comegna, Simone Di Prima, Misagh Parhizkar, and Antonio Coppola

Posters virtual: Thu, 1 May, 14:00–15:45 | vPoster spot A

Display time: Thu, 1 May, 08:30–18:00
Chairpersons: Marius Floriancic, Julia Derx

EGU25-6696 | Posters virtual | VPS10

Microcystin concentrations and water quality in three agricultural ponds: A machine learning application 

Jaclyn Smith, Matthew Stocker, Robert Hill, and Yakov Pachepsky
Thu, 01 May, 14:00–15:45 (CEST)   vPoster spot A | vPA.1

Cyanotoxins in agricultural waters pose a human and animal health risk. These chemical compounds can be transported to nearby crops and soil during irrigation practices; they can remain in the soils for extended periods and be adsorbed by root systems. Additionally, in livestock watering ponds cyanotoxins pose a direct ingestion risk. This work evaluated the performance of the randomForest algorithm in estimating microcystin concentrations from eight in situ water quality measurements at one active livestock water pond (Pond 1) and two working irrigation ponds (Pond 2 and 3) in Georgia, USA. Sampling was performed monthly from June of 2022 to October of 2023. Measurements of microcystin along with eight in situ sensed water quality parameters were used to train and test the machine learning model. The model performed better at Pond 1 (R2 = 0.601, RMSE =3.854) and Pond 2 (R2 = 0.710, RMSE = 2.310) compared to Pond 3 (R2 = 0.436, RMSE = 0.336). Important variables for microcystin prediction differed among the three ponds, temperature and chlorophyll, phycocyanin and turbidity, and temperature and phycocyanin in Ponds 1, 2 and 3, respectively. Separating nearshore and interior samples in Ponds 1 and 2 lead to better predictive capacity of the model in nearshore samples compared with the interior samples. Overall, the random forest algorithm explained 50% to 70% of the microcystin concentration variation in three Georgia agricultural ponds with data from in situ sensing. In situ sensing showed a potential to aid in the water sampling design for microcystin to characterize the spatial variation of concentrations in studied ponds using readily available in situ sensing data.

How to cite: Smith, J., Stocker, M., Hill, R., and Pachepsky, Y.: Microcystin concentrations and water quality in three agricultural ponds: A machine learning application, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-6696, https://doi.org/10.5194/egusphere-egu25-6696, 2025.

EGU25-7313 | Posters virtual | VPS10

Assessing the effectiveness of remote sensing indices for predicting E. coli concentrations in an irrigation pond 

Seokmin Hong, Billie Morgan, Matthew Stocker, Jaclyn Smith, Moon Kim, Kyung Hwa Cho, and Yakov Pachepsky
Thu, 01 May, 14:00–15:45 (CEST) | vPA.2

Escherichia coli (E. coli) is a key marker for monitoring microbial water quality, with significant consequences for both public health and agricultural practices. To address the challenges of traditional water quality assessments, remote sensing offers a promising alternative. In this research, we implemented the random forest (RF) algorithm to forecast E. coli levels in irrigation ponds using three distinct data sources: (1) conventional water quality measurements, (2) multispectral reflectance values from drones, and (3) remote sensing indices derived from these reflectance values. To enhance the model’s accuracy, a linear transformation was applied during postprocessing. The RF model achieved strong performance (R² = 0.74) with conventional water quality variables, while moderate results were obtained using multispectral reflectance values alone (R² = 0.56). The best outcomes were observed when remote sensing indices were used as inputs, yielding an R² of 0.76. Shapley additive explanations (SHAP) were employed to evaluate the importance of individual variables. Dissolved oxygen, pH, and Chlorophyll-a emerged as critical predictors among water quality parameters. Meanwhile, the visible atmospherically resistant index (VARI) and normalized difference turbidity index (NDTI) were the most significant remote sensing indices. Furthermore, location-based comparisons highlighted differences in the impact of VARI and NDTI between interior and nearshore sampling sites. These findings suggest that remote sensing indices effectively capture water quality features crucial for E. coli persistence. This study underscores the potential of using drone-derived multispectral data to enhance predictions of E. coli concentrations in irrigation ponds.

How to cite: Hong, S., Morgan, B., Stocker, M., Smith, J., Kim, M., Cho, K. H., and Pachepsky, Y.: Assessing the effectiveness of remote sensing indices for predicting E. coli concentrations in an irrigation pond, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-7313, https://doi.org/10.5194/egusphere-egu25-7313, 2025.

EGU25-7320 | ECS | Posters virtual | VPS10

Fine-scale spatial patterns of antibiotic resistance gene concentrations in irrigation pond water 

Matthew Stocker, Jaclyn Smith, Yakov Pachepsky, Ellen Gabriel, Manan Sharma, and Alan Gutierrez
Thu, 01 May, 14:00–15:45 (CEST) | vPA.3

Antimicrobial resistance (AMR) in irrigation waters is a major worldwide health issue. Crops irrigated with waters containing antibiotic resistant bacteria (ARB) or related genes (ARG) can serve as a vector for AMR throughout food supply systems. The current extent of AMR in irrigation waters is poorly understood and even less so for small lentic waters such as farm ponds. The objectives of this work were to characterize the variability of ARG concentrations in an actively used irrigation pond and to determine if stable spatial patterns in the concentration data exist which can be used to inform monitoring designs. Water sampling was conducted on 9 dates between June and September 2023 at 20 locations within an actively used irrigation pond in Maryland, USA. The ARG tetracycline gene tetA was enumerated using dQPCR in all collected samples. Due to the presence of non-detects, the robust regression on ordered statistics (ROS) method was applied to the dataset to impute non-detectable concentrations on each date. Spatial variation of tetA concentrations was date-dependent with coefficients of variation ranging from 97 % to 377 % with an average of 181 %. Concentrations steadily declined throughout the observation period which significantly correlated with increases in water temperature (rs = - 0.738; p = 0.023). Rainfall events throughout the observation period did not result in higher concentrations of tetA in the pond. On a majority of dates, significant outliers in the data were identified according to the extreme studentized deviate test.  The mean relative difference analysis revealed that samples collected at the pond banks contained higher tetA concentrations than those collected in the pond interior. Elevated concentrations of the ARG at bank sites were attributed to on-land activities as well as hydrological conditions within the waterbody. Sampling sites were identified that best represented the spatiotemporal average of the concentration data which is useful if large sample sets cannot be collected. This work is the first to evaluate fine-scale spatial variation of ARG in lentic waters used for irrigation and the results show that the choice of where to sample for ARG enumeration in ponds or lakes should not be made arbitrarily.

How to cite: Stocker, M., Smith, J., Pachepsky, Y., Gabriel, E., Sharma, M., and Gutierrez, A.: Fine-scale spatial patterns of antibiotic resistance gene concentrations in irrigation pond water, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-7320, https://doi.org/10.5194/egusphere-egu25-7320, 2025.

EGU25-7321 | ECS | Posters virtual | VPS10

Modeling fate and transport of indicator microorganisms in small rural watersheds 

Jiye Lee, Dana Harriger, Seokmin Hong, Jaehak Jeong, Andrey Guber, Robert Hill, and Yakov Pachepsky
Thu, 01 May, 14:00–15:45 (CEST) | vPA.4

Modeling is an efficient approach for predicting microbial water quality and suggesting related management practices. Escherichia coli or enterococci concentrations are commonly used to indicate microbial contamination and characterize microbial water quality. Small watersheds provide drainage into first- or second-order creeks, exhibit significant variation in land use, management, and conservation practices. Modeling microbial water quality in the small watersheds can help account for and mitigate the heterogeneity within larger hydrologic response units. A model for microbial water quality should incorporate key hydrologic components such as runoff, in-stream water fluxes, and meteorological inputs such as precipitation, air temperature, and solar radiation. Additionally, animal waste management, including the quantity and application schedule, are also important for microbial water quality simulations. The Agricultural Policy Environmental eXtender is a useful tool for hydrological, meteorological, and management drivers of microbial water quality, as it has been developed for small watersheds. Major microbial fate and transport processes include animal waste deposition, degradation, erosion, survival on soil, release from waste and transport by rainfall or irrigation, and microbial survival and resuspension in water or sediment. These processes can be simplified, for instance, by modeling proportional release of the indicators and animal waste during erosion. We can also use a two-phase survival model for manure and temperature-dependent rate of microbial survival in surface waters. Animal waste aging should also be considered in the microbial model, as daily bacterial survival and erodibility are influenced by it. The microbial module in APEX was used to the headwater watershed of Conococheague Creek in Pennsylvania, USA. The total watershed area is 34321.6 ha, with 15 subareas and the dominant land use is deciduous forest. Three years of hourly stage observations with rating curves and weekly E. coli concentrations at the outlet were available. The primary source of E. coli was animal waste from white-tailed deer, with an average density of 19 deer per square kilometers. Deer population dynamics reflect seasonal changes including fawn births, predation, pre-hunting, and post-hunting population phases. E. coli concentrations at the watershed outlet varied seasonally, ranging from 5 to 500 CFU (100 mL)-1. The model reasonably captured the temporal fluctuations in E. coli concentrations at the outlet. Ongoing improvements to the model include incorporating deer behavior patterns, animal waste preservation in snow, and runoff during snowmelt.

How to cite: Lee, J., Harriger, D., Hong, S., Jeong, J., Guber, A., Hill, R., and Pachepsky, Y.: Modeling fate and transport of indicator microorganisms in small rural watersheds, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-7321, https://doi.org/10.5194/egusphere-egu25-7321, 2025.