HS8.2.10 | Groundwater residence times and flow paths
Orals |
Mon, 14:00
Mon, 08:30
Groundwater residence times and flow paths
Convener: Andreas Hartmann | Co-conveners: Martin Kralik, Uwe Morgenstern, Daren Gooddy
Orals
| Mon, 28 Apr, 14:00–15:45 (CEST)
 
Room 2.15
Posters on site
| Attendance Mon, 28 Apr, 08:30–10:15 (CEST) | Display Mon, 28 Apr, 08:30–12:30
 
Hall A
Orals |
Mon, 14:00
Mon, 08:30

Orals: Mon, 28 Apr | Room 2.15

14:00–14:05
14:05–14:25
|
EGU25-7729
|
solicited
|
On-site presentation
Florian Ritterbusch, Xin Feng, Wei Jiang, Hao Li, Qiao-Song Lin, Zheng-Tian Lu, Zhao-Feng Wan, Jie Wang, and Guo-Min Yang

85Kr (t1/2=10.7 a), 39Ar (t1/2=268 a) and 81Kr (t1/2=229 ka) are valuable isotopes for radiometric dating of groundwater, especially due to their gaseous properties and chemical inertness. Together with 14C, these radioisotopes cover the age range from present back to 1.5 million years. Due to their extremely low environmental abundances of 10-17…10-11, corresponding to only a few thousand atoms per kilogram of water or ice, the detection of these isotopes is very challenging. In the recent two decades, the laser-based method Atom Trap Trace Analysis (ATTA) has succeeded in measuring these radioisotopes in water and ice samples of <10 kg, enabling applications in groundwater, ocean water and glacier ice.

Here, we present dating of groundwater with 85Kr, 39Ar and 81Kr, using ATTA for the radioisotope measurement. Recent progress on high precision 81Kr analysis has closed the dating gap between 14C and 81Kr, allowing for 81Kr dating of groundwater from the last glacial maximum to the beginning of the Holocene. Crucial advances in the ATTA instruments have moreover enabled a sample size reduction down to 1 kg of water or ice, allowing for dating of groundwater also under special conditions, such as in fractured rock aquifers with very low flow rate. The smaller sample size also facilitates simplified sampling schemes, e.g. sampling water directly instead of degassing it in the field.

How to cite: Ritterbusch, F., Feng, X., Jiang, W., Li, H., Lin, Q.-S., Lu, Z.-T., Wan, Z.-F., Wang, J., and Yang, G.-M.: Dating of groundwater with 85Kr, 39Ar and 81Kr, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-7729, https://doi.org/10.5194/egusphere-egu25-7729, 2025.

14:25–14:35
|
EGU25-534
|
ECS
|
Virtual presentation
Fahad Souid, Darren Hillegonds, Sattam Mutairi, Ekaterina Kazak, Orfan Shoakar-Stash, Anran Cheng, and Chris Ballentine

Saudi Arabia and the Gulf states have been classified as water-scarce countries by the United Nations, which urges the need for groundwater management and protection. Groundwater age is key to the protection and management of non-renewable groundwater resources. Helium diffusion within the fluids of sedimentary basins is a new and little explored groundwater dating tool. The current study constructs a helium diffusion profile from the crystalline basement to the surface for two basins in the Arabian Peninsula: The Jafurah Basin and the Northwestern Basin. These profiles were corrected using 4He concentrations (n=56) from fluids of different formations within the sedimentary succession of the two basins. All measured 4He concentrations were found to be of crustal origin, with (R/Ra) corrected values ranging between 0.005 and 0.078. The measured 4He groundwater concentrations were shown to be within 1σ uncertainty of the diffusion model results, indicating absence of advective groundwater transport and diffusive loss of 4He. It was found that major tectonic events at the Oligocene (33-21Ma) and the Miocene (19-8Ma) flushed 4He basement flux in the shallow groundwater aquifers, leaving room for in-situ production only. 4He produced in-situ was deemed sufficient to be used in groundwater age calculations beyond radiocarbon capabilities. Additionally, analysis of 87Sr/86Sr, δ18O, δ2H, and radiocarbon proposed the presence of recent recharge. However, groundwater inheritance of paleo-seawater 87Sr/86Sr ratios indicated enhanced water-rock interaction (WRI), with little influence from modern-day seawater. This suggests mixing of recent recharge with the old groundwater depicted by 4He. Groundwater samples that had measurable 14C activity were also enriched in 4He, and such enrichment is too high to have accumulated over the residence time calculated by radiocarbon (2,817 – 30,100 yrs BP), especially in the absence of deep structural conduits e.g., faults and mega fractures. This challenges the conventional groundwater dating methods that presume one representative groundwater age. We conclude that groundwater age, especially that calculated from radiocarbon, represents a mean residence time of mixture of young and old endmembers, which proves 4He as a reliable chronometer for groundwater dating.

How to cite: Souid, F., Hillegonds, D., Mutairi, S., Kazak, E., Shoakar-Stash, O., Cheng, A., and Ballentine, C.: Groundwater Age Dating using Basinal Radiogenic Helium Diffusion Profile , EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-534, https://doi.org/10.5194/egusphere-egu25-534, 2025.

14:35–14:45
|
EGU25-1934
|
ECS
|
On-site presentation
Felix Nyarko, Ferdinando Manna, Jan Willem Foppen, and Beth L. Parker

DNA-based tracers have recently been used as groundwater tracers, primarily in granular aquifer media. Given the possibility of simultaneously applying and distinguishing multiple tracers with distinct DNA labels, they offer unique opportunities for tracing distinct pathways between injection and arrival points. They are synthesised by adsorbing DNA molecules on a silica or magnetite nanocore and encapsulated with a silica layer to protect the molecule against extreme temperatures, pH, and microbial attack. These nanotracers can be exponentially amplified, pushing the detection sensitivity down to one molecule, thus helping to mitigate the narrower detection range associated with conventional solutes.  However, when co-injected, both tracers are expected to follow the same preferential flow paths in a connected fracture network but with distinct travel times. While solute tracers are attenuated by diffusion into the matrix enhanced by sorption, the nanotracer mobility is dominated by advective transport enhanced by size exclusion. Considering the uncertainty in the nanotracer mobility, especially in bedrock aquifers, pairing these tracers provides complementary insight into the nature and variability of the fracture pathways and rates.

In this study, we co-injected a novel DNA-based nanotracer with magnetite nanocore (acronym: SiDNAMag) and Uranine in a Silurian dolostone aquifer under controlled natural gradient flow conditions to characterise fracture connectivity, groundwater velocities and diffusion process influences. The experiment was conducted at a toluene-contaminated site in Guelph, Canada, where depth-discrete multilevel systems (MLSs) were installed for 3D monitoring, improving insights on spatial variability in tracer transport. The tracer solution was injected at 0.5 L/min over a 1.6 m vertical interval, isolated with straddle packers in an upgradient well 10.5 m from the modestly pumped (0.11 L/min) extraction well and monitored from 15 MLSs comprising 82 ports. Using temporal moment analysis, we compared the transport of SiDNAMag to Uranine and observed the preferential flow geometries through the fractured dolostone aquifer. SiDNAMag showed an earlier breakthrough (2.25 h) compared to Uranine (6.25 h) at the extraction well with higher average velocity. 2.5% of Uranine mass was recovered, while SiDNAMag recovery was unquantifiable due to intermittent detection in the extraction well. SiDNAMag was predominantly detected at depths below the injection interval compared to Uranine, suggesting an influence of density on particle mobility. Preferential pathways also exist in the zone above the injection interval, evidenced by early detection of Uranine in the shallow ports of MLSs between the injection and extraction wells.

These findings enhance our understanding of fracture connectivity and the delineation of dominant flow pathways in the dolostone aquifer. They also provide insights into the variability of discrete fracture pathways within the 3D field domain, supporting the generation of fracture networks that accurately represent field conditions. Using HydroGeosphere, a discrete fracture matrix (DFM) numerical flow and transport model, these networks can be used to evaluate remediation strategies effectively. Although this study reveals SiDNAMag as a promising tool for groundwater tracing in fractured dolostone aquifers, a critical aspect of understanding its transport behaviour lies in examining the effects of groundwater chemistry and aquifer mineralogy on SiDNAMag. 

How to cite: Nyarko, F., Manna, F., Foppen, J. W., and Parker, B. L.: Testing Silica-Encapsulated DNA Molecules with Iron Nanocore as a Groundwater Tracer in Fractured Silurian Dolostone Bedrock, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-1934, https://doi.org/10.5194/egusphere-egu25-1934, 2025.

14:45–14:55
|
EGU25-3967
|
ECS
|
On-site presentation
Avadhoot Date, Bernhard Mayer, Pauline Humez, Michael Nightingale, Peter Mueller, Michael Bishof, Jeremy Lantis, Christof Vockenhuber, Jose Corcho, Roland Purtschert, Reika Yokochi, Neil Sturchio, Ranjeet Nagare, and Stephen Wheatcraft

The Milk River Aquifer (MRA) is a regional transboundary aquifer covering over 26,000 km2 across northern Montana (USA) and southern Alberta (Canada). Extensive groundwater extraction since 1960s has led to a decline in groundwater levels, thereby emphasizing the need for informed water management strategies. The objective of this study was to improve the understanding of spatial variations in major ion concentrations with respect to groundwater age and flow paths, and to  identify key geochemical processes that influence groundwater quality within the aquifer. A comprehensive digital database was developed using hydrogeological and geochemical data from 1,429 water samples collected from 549 wells. Additionally, 20 new  groundwater samples and associated gases were collected during a 2022 field campaign, and these samples were analyzed for concentrations of major and minor ions, gas composition, stable isotope ratios (2H/1H and 18O/16O of water, 13C/12C of DIC and 34S/32S of sulfate, 13C/12C and 2H/1H of methane), and radioactive isotopes (⁸¹Kr, ³⁶Cl and ¹⁴CDIC).

Utilizing a newly updated groundwater numerical flow model (FEFLOW software) in combination with recent 14C and 81Kr-based groundwater age dates, distinct patterns in chloride (Cl) concentrations dependent on groundwater age and flow path were identified. Groundwater less than 34,000 years old exhibited Cl concentrations < 25 mg/L near the recharge zone, while groundwater exceeding 200,000 years in age had Cl concentrations > 100mg/L at distances of 125 km from the recharge zone. Increasing δ²H and δ¹⁸O values in older groundwater with elevated Cl concentrations indicate possible mixing of fresh recharge water with formation water from northern regions of the aquifer (Taber and Bow Island formations) or associated aquitards (Pakowki and Colorado formations). Ongoing analysis explores variations in other major ions with a specific interest in redox-sensitive species as a function of flow distance and groundwater age. Preliminary results reveal that elevated sulfate concentrations (> 1200 mg/L) in recharging groundwater are due to pyrite oxidation, but at groundwater flow distances between 50 and 75 km bacterial sulphate reduction becomes dominant resulting in sulfate concentrations < 1 mg/L. At flow distances >80 km, redox conditions become favourable for methanogenesis resulting in occurrence of biogenic methane in groundwater. A particle tracking algorithm within the updated numerical flow model was employed to compare residence times with groundwater ages determined from 81Kr measurements. The tracer ages (14C and 81Kr) were confirmed using a numerical particle tracking model based on an existing numerical steady-state groundwater flow model (FEFLOW). The outcomes of this study that utilizes innovative groundwater age dating tools (81Kr) are new insights into how geochemical processes evolve with respect to flow distance and groundwater age thereby modifying spatial variability of key water quality parameters within the Milk River Aquifer.

How to cite: Date, A., Mayer, B., Humez, P., Nightingale, M., Mueller, P., Bishof, M., Lantis, J., Vockenhuber, C., Corcho, J., Purtschert, R., Yokochi, R., Sturchio, N., Nagare, R., and Wheatcraft, S.: The impact of groundwater age and flow patterns on water quality in the Milk River Aquifer, Canada, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-3967, https://doi.org/10.5194/egusphere-egu25-3967, 2025.

14:55–15:05
|
EGU25-7985
|
Highlight
|
On-site presentation
Maria Filippini, Lola Neuert, Ernesto Pugliese, Cristina Giuliani, Giorgia Bolognesi, Erica Tamagnini, Maria Elena Cavallini, Stefano Filippini, Riccardo Mozzi, and Alessandro Gargini

Reconstructing flow directions and velocities in highly heterogeneous contaminated aquifers, such as fractured and karstified systems, poses significant challenges. These arise from both the inherent complexity of the hydrogeological context and the technical and physicochemical interferences that contaminated sites can impose on the logistics and outcomes of tracer tests.

A short-term (14-day) tracer test was conducted under perturbed conditions in a fractured and karstified aquifer in Southern Italy, at a site contaminated by petroleum hydrocarbons and other pollutants. The objective was to gather critical insights into the dynamics of subsurface flow to inform subsequent contamination management and remediation strategies. Multiple tracers were used, including fluorescent dyes and silica-encapsulated DNA-labeled nanoparticles. Silica-encapsulated DNA nanoparticles hold significant potential as hydrogeological tracers due to their non-toxic nature, physicochemical stability, and exceptional detectability at extremely low concentrations via qPCR. However, their performance in real-world applications remains under investigation.

Three synthetic DNA nanotracers were injected into three wells, alongside two conservative dye tracers, Uranine and Tinopal. All three DNA tracers were successfully detected in groundwater samples collected from pumping wells at distances ranging from 30 to 160 meters from the injection point, indicating flow velocities between 7 and 130 m/day. While the fluorescent dyes traveled at comparable velocities, they covered shorter distances and exhibited delayed peak arrivals relative to the DNA tracers. Additionally, the detection of fluorescent dyes was sometimes hindered by the presence of hydrocarbons, a limitation that did not affect the DNA nanotracers. The tracer recovery results ultimately facilitated the identification of primary and secondary groundwater flow directions, some of which deviated from expectations based on the site’s preliminary conceptual groundwater flow model. Overall, the tracer test results underscored notable differences between the two tracer types, suggesting that DNA nanotracers and fluorescent dyes may navigate distinct porosity systems, offering complementary insights into the aquifer's structure and dynamics.

While the results are promising and demonstrate the potential of combining fluorescent dyes and DNA nanotracers for applications in highly heterogeneous contaminated aquifers, further research is needed to evaluate the versatility of DNA tracers in field applications. This includes addressing both field and analytical challenges, as well as better assessing their comparative utility relative to conventional dye tracers.

How to cite: Filippini, M., Neuert, L., Pugliese, E., Giuliani, C., Bolognesi, G., Tamagnini, E., Cavallini, M. E., Filippini, S., Mozzi, R., and Gargini, A.: Tracing groundwater flow paths in a contaminated fractured and karst aquifer using fluorescent dyes and silica-encapsulated DNA nanoparticles: challenges and insights, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-7985, https://doi.org/10.5194/egusphere-egu25-7985, 2025.

15:05–15:15
|
EGU25-9094
|
On-site presentation
Huaisong Ji, Kun Huang, Mingming Luo, Gabriele Chiogna, and Beatrice Richieri

Due to the high heterogeneity of karst aquifers, understanding the transport of contaminants within karst underground river systems remains challenging. Moreover, there is limited knowledge regarding the risks posed by pollutants in karst aquifers and their attenuation potential. To characterize the differential transport and release of various contaminants through different recharge pathways in a karst underground river system. This study integrates intermittent inputs of acid mine drainage (AMD) and conservative dye tracers. High-frequency monitoring of discharge and water quality, along with breakthrough curve (BTC) analysis of the tracers, was conducted to perform both qualitative and quantitative assessments. The research was carried out in a typical karst underground river system (Qingxisi) located in western Hubei, China. The results revealed three distinct, non-intersecting karst conduits that converged at the underground river outlet. Among them, Conduit 1 was unaffected by AMD pollution, while Conduits 2 and 3 exhibited contaminant transport distances exceeding 10 km. Notably, the arrival of AMD pollutants was significantly delayed compared to the arrival of Conduit  1, with Conduit 2 demonstrating a faster transport velocity than Conduit 3. The pollution pattern in the underground river system suggests intermittent leakage of AMD pollutants, leading to periodic water quality responses upon contaminant release. In contrast to the rapid attenuation of the conservative dye tracers, AMD pollutants exhibited slower and more persistent attenuation processes. The rates and extents of contaminant attenuation varied among the conduits, depending on the degree of conduit development. Sulfate (SO₄²⁻), a characteristic pollutant of AMD, showed the fastest attenuation rate, while several heavy metal elements displayed negative attenuation rates, indicating secondary pollution during transport , potentially related to adsorption-desorption processes with sediments. The storage and release of contaminants, driven by hydraulic gradient changes between karst conduits and fracture media, were found to delay the natural attenuation of pollutants, suggesting potential limitations in the long-term natural attenuation capacity of the underground river system. This study enhances the understanding of contamination processes and the mechanisms of water quality change and natural attenuation in vulnerable karst groundwater systems, contributing to the management and prevention of groundwater pollution in karst environments.

How to cite: Ji, H., Huang, K., Luo, M., Chiogna, G., and Richieri, B.: Identification of hydrologic response and contaminant transport processes in karst underground river systems using acid mine drainage and artificial dye tracer , EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-9094, https://doi.org/10.5194/egusphere-egu25-9094, 2025.

15:15–15:25
|
EGU25-12145
|
ECS
|
On-site presentation
Natália Arruda, Didier Gastmans, Hannah Eckert, Bertram Graf von Reventlow, Edith Engelhardt, Werner Aeschbach, José Guilherme Filgueira, Gabriel Ferreira, Nicolas Quintan Bernardo, and Zulene Almada Teixeira

The Potiguar Basin is a passive margin sedimentary basin formed during the breakup of Africa and South America. It encompasses important onshore oil reservoirs which have been exploited since the 1970s. It is located in the Atlantic Septentrional margin in the semi-arid region of Northeastern Brazil. The hydrogeological framework of the Potiguar Basin includes two main reservoirs: the karst Jandaíra Aquifer and the porous Açu Aquifer. The latter is the most significant aquifer in the region, responsible for supplying water to the population and for fruit production irrigation. Nowadays exhaustive drilling and groundwater extraction have led to a decrease in the water table posing problems for water resources sustainability in this semi-arid region. Despite the increasing demand of groundwater in the last decades, the Açu Aquifer has not been properly studied regarding groundwater flow, isotopic, and hydrochemical groundwater evolution. The semi-confined Açu Aquifer is bounded by the Potiguar basin, at the contact with the overlying carbonate platform, the Jandaíra Aquifer, which confines the Açu Aquifer across the entire platform toward the offshore areas. From the outcrop area, groundwater flows preferentially in the SW to NE direction influenced by the geological and structural framework of the basin. Aiming at a better understanding of groundwater flow and paleorecharge temperatures in the Açu Aquifer, environmental isotopes (H, O, and C) and noble gases were measured. Groundwater isotopic signatures values were found to be more depleted than those of precipitation (<-3.5‰ for δ¹⁸O and -10‰ for δ²H in groundwater, and up to -2.0‰ for δ¹⁸O and close to 0 ‰ for δ²H in precipitation). The age tracer C-14 indicates that young groundwater (close to 100 pMC) is present in the outcrop area and that very old groundwater is present at the deepest zones of the basin, where the C-14 concentration was near the detection limit of the method (0.3 pMC). In addition, the noble gas concentrations also suggest colder climate conditions during recharge. Our first results yield temperatures up to 8ºC below the modern mean annual temperature, in agreement with previously paleoclimate temperature studies in the region. The high excess air values ​​from older deep waters indicate a larger fluctuation of the water table level. These preliminary results suggest that the recharge of the Açu Aquifer took place under colder climate conditions, in possible association with the Last Glacial Maximum (LGM). Even though the groundwater residence time was not precisely determined, it is expected to be over 40k years. Our results are consistent with previous studies that point to changes in temperature since the LGM for the Northeastern Brazil climate. Although further sampling and more precise data analysis are needed, these initial findings highlight the complexity of groundwater flow in the Açu Aquifer, and the importance of effective groundwater management to ensure the sustainability of the resource.

How to cite: Arruda, N., Gastmans, D., Eckert, H., von Reventlow, B. G., Engelhardt, E., Aeschbach, W., Filgueira, J. G., Ferreira, G., Bernardo, N. Q., and Teixeira, Z. A.: Assessments of Groundwater Circulation and Recharge Paleotemperature in the Açu Aquifer, Northeastern Brazil, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-12145, https://doi.org/10.5194/egusphere-egu25-12145, 2025.

15:25–15:35
|
EGU25-17720
|
ECS
|
On-site presentation
Stephen Wangari, Astrid Harjung, Daniela Machado, Bradley McGuire, Michael Schubert, Juergen Kopitz, Mang Lin, Lorenzo Copia, and Richard Bibby

Research on groundwater residence times is crucial for assessing groundwater infiltration rates and aquifer vulnerabilities, both playing a vital role in sustainable water resource management. This study aimed at advancing the use of the short-lived cosmogenic radionuclide 35S (“radio-sulfur”, t1/2 = 87.4 d) for determining groundwater residence times of less than one year. The results show that 35S provides a valuable tool for evaluating groundwater residence times, infiltration rates, and aquifer vulnerabilities. The preconcentration of 35SO42- using an anion exchange resin prior to Liquid Scintillation Counting (LSC) is a technique designed to improve the detection of 35S in groundwater and precipitation samples. Our optimized method involves a custom setup where up to 500 mg of SO42- can be extracted from a large-volume water sample in less than an hour by passing the sample through a column pre-packed with an ion exchange resin. The retained sulfate ions are then eluted and the eluate is subsequently concentrated by evaporating excess water, while ensuring the elimination of organic compounds resulting in the formation of a clear, colorless sample. Once all colored compounds are removed, the sample is mixed with a scintillation cocktail and analyzed using LSC. The SO42 preconcentration procedure has been adapted for application directly in the field and eliminates therefore the need to transport large volumes of water sample to the laboratory and addresses logistical challenges associated with shipping and storage. Furthermore, we explored various LSC optimization methods for the detection and quantification of 35S in natural water samples resulting in improvements of both background and efficiency during LSC measurement. This work represents advancements in the utilization of radio-sulfur analysis, thereby expanding the suite of natural radionuclides to constrain water residence time distributions in terrestrial waters.

How to cite: Wangari, S., Harjung, A., Machado, D., McGuire, B., Schubert, M., Kopitz, J., Lin, M., Copia, L., and Bibby, R.: Field sampling, sample preparation and measurement of radio-sulfur in natural water samples, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-17720, https://doi.org/10.5194/egusphere-egu25-17720, 2025.

15:35–15:45
|
EGU25-20793
|
On-site presentation
Maksym Gusyev, Alexandre Cauquoin, Shigekazu Hirao, and Naofumi Akata

Tritium radioisotope (H-3 or T) with a half-life of 12.32 years was released to the atmosphere in the 2011 Fukushima Daiichi Nuclear Power Plant (FDNPP) accident prompting tritium monitoring efforts in Fukushima waters. Tritium in precipitation has been measured monthly from 2012 accumulating a decade-long record in Namie Town [1] and the Fukushima Prefectural Government sampled river, lakes, dam reservoir, and coastal sites twice per year for direct tritium measurements [2]. Since the FDNPP anthropogenic tritium was measured at several coastal sites influencing natural background tritium, which is a cosmogenic radionuclide traced as a water molecule (HTO), a combined time-series of both anthropogenic and natural tritium in precipitation was required for the transit times interpretation using the atmospheric FDNPP release tritium simulation [3]. In October 2023, tritium measurements at several Fukushima city headwater catchments indicated natural background levels and tritium-tracer was useful for estimating water transit times and volume in the subsurface [4]. While tritium is a useful tracer to estimate water transit times in Fukushima, the continuation of tritium monitoring is needed to disentangle natural levels with the ongoing tritium-related FDNPP activities such as the tritiated water discharge from the FDNPP site. 

 

References: 
[1] Yamada R., Hasegawa, H., Akata, N., et al. (2024) Temporal variation of tritium concentration in monthly precipitation collected at a Difficult-to-Return Zone in Namie Town, Fukushima Prefecture, Japan. Environmental Science and Pollution Research (5): 7818–7827. https://doi.org/10.1007/s11356-023-31652-9
[2] Fukushima Revitalization Portal Site (2024). https://www.pref.fukushima.lg.jp/site/portal/
[3] Gusyev, M., Cauquoin, A., Igarashi, Y., et al. (2024) Anthropogenic and natural tritium radioisotope in terrestrial water cycle of Fukushima, Japan, EGU General Assembly 2024, Vienna, Austria, EGU24-17332, https://doi.org/10.5194/egusphere-egu24-17332.
[4] Cauquoin, A., Gusyev, M., et al. (2025) Modeling tritium release to the atmosphere during the Fukushima Daiichi Nuclear Power Plant accident and application to estimating post-accident water system transit times, Japan, Environmental Science and Pollution Research, https://doi.org/10.1007/s11356-025-35919-1

 

How to cite: Gusyev, M., Cauquoin, A., Hirao, S., and Akata, N.: A review of tritium radioisotope in Fukushima waters, Japan, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-20793, https://doi.org/10.5194/egusphere-egu25-20793, 2025.

Posters on site: Mon, 28 Apr, 08:30–10:15 | Hall A

Display time: Mon, 28 Apr, 08:30–12:30
A.58
|
EGU25-9182
Martin Kralik and Michael Heidinger

The Austrian Alpine Foreland Basin (AAFB) is home to a large population and an important industry location. The subsurface of the AAFB is intensively used since decades for drinking, energy (hydrocarbons and geothermal energy) and balneology purposes. Deeper groundwater systems in the Malmian and in the Oligocene Formations are utilised for geothermal energy and balneology. Groundwaters from shallow sedimentary strata are used for domestic and industrial water supply. In addition, hydrocarbon production is conducted since several decades in this area. To appose these individual interests and to secure a sustainable usage of the resources, the understanding of the basin history, the hydrostratigraphic ages and their interactions are crucial.

Major ion chemistry, δ2H-18O, and 87Sr/86-ratios suggest the Malmian thermal waters to be a mixture of meteoric Na-HCO3-waters with depleted δ18O-values <-11.5‰ with NaCl-brines (δ18O-values >-4.5‰) and a small fraction of young  CaMg-HCO3-waters.

81Kr investigations on ten deep groundwater samples (including 1 from Germany) from different hydrostratigraphic units of the Austrian Alpine Foreland Basin (AAFB) imply a differentiated picture of the groundwater residence times.

Exceptional high 81Kr-model-ages of deep Malmian thermal groundwater samples (around 500’000 years) would suggest extremely low velocities (incl. the cross formation flow) which contradict the existing hydrogeological model concepts of a dynamic thermal water flow in the Malmian reservoir.

Very old deep groundwater portions (> 900’000 years) are visible in an Eocene formation sample (Gallspach) whereas samples from younger strata (Oligocene) exhibit the youngest 81Kr- model-ages  (< 25’000-240’000 years) [1,2].

The discrepancy between the derived 81Kr-model-ages of the deep Malmian thermal groundwaters is difficult to reconcile with the most recent numeric thermal-water-model based on a recharge area “Tertiäres Hügelland” (SE of Regensburg) only 100 km northwest of the main users [3]. Possible explanations include diffusion processes in contact areas between the aquifers with the aquicludes or mixing with 81Kr-free Cenozoic formation waters and the presence of hydrocarbons within the aquifer that could influence the 81Kr-model-ages.

The very old age of the dominating thermal Na-HCO3-water-component is supported by 3He/4He-ratios and 4He-contents saturated with a purely crustal helium-ratio and content. The exchange of the Malmian thermal water with its aquifers during his pathway is shown by radiogenic 87Sr/86Sr-ratios (0.7098-0.7108) and elevated F, Li and Rb-concentrations.

 

  • Heidinger, M., F. Eichinger, R. Purtschert, P. Mueller, G. Wirsing, T. Geyer, T. Fritzer, and D. Groß (2019): Altersbestimmung an thermalen Tiefenwässern im Oberjura des Molasse-beckens mittels Krypton-Isotopen. In: Grundwasser, 24, 287-294.
  • Groß, D., Götzl, G., Kriegl, C., Heidinger, M., Kralik, M., Sachsenhofer, R.F., Goldbrunner, J., Hartl, I., Pytlak, L., Gusterhuber, J., Fölserl, V. & Irrgeher, J. (2022): Research Project: Deep Groundwater Systems in Upper Austria. Unpubl. Report, 81 p., Austrian Academy of Science, Vienna.
  • Expertengruppe Thermalwasser (2024): Das Thermalwasservorkommen im niederbayerischen -oberösterreichischen Molassebecken: Hydrogeologisches Modell und numerisches Thermal-wassermodell - Kurzbericht. 67 p., Land Oberösterreich. (https://www.landober-oesterreich.gv.at/files/publikationen/w_thermalwasser_bayern_ooe.pdf)

How to cite: Kralik, M. and Heidinger, M.: Dating (81Kr) and 18O-87Sr-isotopes support mixing of deep thermal groundwater in the Austrian Alpine Foreland Basin, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-9182, https://doi.org/10.5194/egusphere-egu25-9182, 2025.

A.59
|
EGU25-3858
Uwe Morgenstern, Mike Stewart, Peter Gardner, and Peter Davidson

Our current knowledge about the water dynamics through groundwater systems is primarily based on observations of celerity - pressure responses at wells and flow increases at springs. However, it is velocity of the water that characterises hydrologic systems, regarding water quantity and transport of water contaminants.

Tritium data from the Wairau River around Blenheim, New Zealand, indicate 50% of baseflow has a mean transit time (MTT) of 8 years (Taylor et al., 1992; Morgenstern et al., 2019). The other 50% is younger water. The groundwater storage to provide such long transit times was attributed to large deposits of scree and alluvium infilling U-shaped glacial valleys in the headwater areas of the Upper Wairau catchment.

However, after collecting baseflow samples from these scree discharges, we did not find dominance of old water with MTT=8 years. The old water storage must therefore be attributed to the deep groundwater flow system in the entire Wairau River catchment.

In the coastal Wairau Fan, where the river loses water into the aquifer, with extremely high hydraulic conductivity and groundwater MTTs of only a few months, we traced a seasonal 18O spike from the river through the aquifer to the discharge of the aquifer, Spring Creek. This revealed that even after extreme rain events which cause immediately elevated water levels and aquifer discharges, the discharging water remains old. After the extreme Marlborough flood in August 2022, with rivers showing the highest flows on record, the elevated flows at Spring Creek appeared to be nearly unchanged in their natural annual cycle of water transit time. This implies that the elevated flow following the flood and associated with much elevated water levels in the aquifer, was caused by old water flow paths activated due to the increased hydraulic loading and supplementing the normal shallow flow.

It came to a surprise when we found a similar activation of old-water flow paths in drinking water supply wells in the confined aquifers in the Heretaunga Plains, with a change to slightly older water in the wells following the extreme flooding caused by Cyclone Gabrielle. To find such an old-water flow activation as the main cause for the elevated flows also in the unconfined aquifer of the Wairau Fan was another surprise.

References

Taylor CB, Brown LJ, Cunliffe JJ, Davidson PW. 1992. Environmental tritium and 18O applied in a hydrological study of the Wairau Plain and its contributing mountain catchments, Marlborough, New Zealand. Journal of Hydrology. 138(1):269–319.

Morgenstern U, Davidson P, Townsend DB, White PA, van der Raaij RW, Stewart MK, Moreau M, Daughney C. 2019. From rain through river catchment to aquifer: the flow of water through the Wairau hydrologic system. Lower Hutt (NZ): GNS Science. 83 p. (GNS Science report; 2019/63)

How to cite: Morgenstern, U., Stewart, M., Gardner, P., and Davidson, P.: The Wairau River hydrologic system: where are the old-water stores, and do floods push groundwater faster through the coastal aquifer?, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-3858, https://doi.org/10.5194/egusphere-egu25-3858, 2025.

A.60
|
EGU25-3407
|
ECS
|
|
Subhankar Ghosh, Madan Kumar Jha, and Vimlendra Mani Pandey

The present study aims to explore seawater intrusion vulnerability in a coastal alluvial aquifer of West Bengal state, eastern India, using two GIS-based indexing techniques, viz., GALDIT and DRASTIC. The study region, with an area of 6358.70 km2, is underlain by two main aquifer systems (‘leaky confined’ and ‘confined’ aquifers). Daily rainfall data of 2020–2021, Pre-Monsoon (PRM) and Post-Monsoon (POM) seasons’ groundwater-level and groundwater-quality (EC, Clˉ and HCO3ˉ) data of 2021 for leaky confined aquifer, and lithology logs data were used. The GALDIT method incorporates six hydrogeochemical parameters as inputs, viz., groundwater occurrence (G), aquifer hydraulic conductivity (A), groundwater elevation (L), distance from the seashore (D), impact of existing seawater intrusion status (I), and aquifer thickness (T). Conversely, inputs to the DRASTIC method are: depth to groundwater level (D), net recharge (R), aquifer media (A), soil media (S), topography (T), impact of vadose zone (I), and aquifer hydraulic conductivity (C). All these thematic layers and their features were assigned weights and ratings, respectively, following original GALDIT and DRASTIC methodology. Seasonal seawater intrusion vulnerability maps were prepared using weighted overlay analysis in ArcGIS environment. Based on GALDIT Vulnerability Indices (GVI), the study area was delineated into three vulnerability zones, viz., ‘low’ (GVI=2.5–5.0), ‘moderate’ (GVI=5.0–7.5), and ‘high’ (GVI>7.5). Similarly, the whole area was categorized into three vulnerability zones depending on DRASTIC Vulnerability Indices (DVI), viz., ‘low’ (DVI=18–61), ‘moderate’ (DVI=61–104), and ‘high’ (DVI=104–146). Results of the GALDIT method indicated 19–31% of the total area under ‘low’, 66–78% under ‘moderate’ and 3–4% under ‘high’ vulnerability classes in different seasons. Outcomes of the DRASTIC method revealed 21–78% area under ‘moderate’ and 22–79% under ‘high’ vulnerability classes. Finally, results of GALDIT and DRASTIC methods were validated with measured Electrical Conductivity (EC) concentrations. As per drinking and irrigation suitability, seasonal EC maps were categorized into three classes, viz., ‘acceptable/low hazardous’ (EC<750 μS/cm), ‘permissible/moderate hazardous’ (EC=750–3000 μS/cm), and ‘not suitable/high hazardous’ (EC>3000 μS/cm). The GALDIT method predicted 50–64% less area as ‘low’, 47–61% higher area as ‘moderate’, and 3–3.5% more area as ‘high’ vulnerable zones compared to the corresponding EC classes. Conversely, the DRASTIC technique estimated 81–84% less area as ‘low’, 2–61% higher area as ‘moderate’, and 22–79% more area as ‘high’ vulnerable zones. Moreover, moderate correlations were found between GVI and EC in both PRM (r=0.518) and POM (r=0.589) seasons, whereas poor correlations were found among DVI and EC in both PRM (r=0.442) and POM (r=0.118) seasons. Additionally, Receiver Operating Characteristic (ROC) curves revealed high Area Under the Curve (AUC) values for the GALDIT method in both PRM (AUC=0.872) and POM (AUC=0.891) seasons, whereas lower AUC values were obtained for the DRASTIC method in both PRM (AUC=0.810) and POM (AUC=0.573) seasons. Therefore, these results suggest that the GALDIT method delineated seawater intrusion vulnerable zones much better than the DRASTIC method. The outcomes of this research will aid in identifying priority zones (moderate-to-high vulnerable) to implement efficient groundwater-quality management programs.

How to cite: Ghosh, S., Jha, M. K., and Pandey, V. M.: Evaluation of Index-Based Methods for Analyzing Seawater Intrusion Vulnerability in a Coastal Alluvial Aquifer of Eastern India, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-3407, https://doi.org/10.5194/egusphere-egu25-3407, 2025.

A.61
|
EGU25-7579
Ching-Huei kuo, Pei-Yun Tseng, and Yi-Ling Chen

Two multi-well tracer tests were conducted on two sides of a creek to investigate the regional groundwater flow and examine the region heterogeneity of conservative tracers. The sulfonic acids were used due to their reasonably good thermal stability and easily be analyzed by high-performance liquid chromatography (HPLC) using uv-absorbance detection.  Two breakthrough curves with multi-peaks were received and used to understand the existence of a hydraulic connection between injection and production wells but also used to gather crucial information about aquifer properties by using analytical models.  An analytical model, multi-fractures mode, was particularly used in matching tracer return curves.  Results show the existence of a dominated advection through a couple of fast flow paths/fractures between injection and receiving wells for one set while the other pairs have strong dispersion accompanied by the advection flow.

How to cite: kuo, C.-H., Tseng, P.-Y., and Chen, Y.-L.: A tracer test for evaluating the heterogeneity of a shallow groundwater aquifer in a mountainous catchment, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-7579, https://doi.org/10.5194/egusphere-egu25-7579, 2025.

A.62
|
EGU25-7824
Zitong Xu, Fuqiang Tian, Zhen Cui, Yi Nan, and Rui Tong

Understanding water sources, flow paths, and mixing patterns in headwater catchments is essential for effective hydrological research, water resource management, and water-related disaster control. This study investigates the Xitaizi Experimental Watershed (XEW) in North China, a semi-humid monsoonal forested catchment, using stable isotopes (δD, δ¹⁸O) and tritium (³H) alongside End-Member Mixing Models (EMMM) and Lumped Parameter Models (LPM) over three hydrological years with varying hydroclimatic conditions. Results indicate that during storm events, old water constitutes 86.2% to 99.2% of streamflow, primarily influenced by rainfall amount and antecedent wetness. Tritium-based age estimations reveal groundwater ages of 14–20 years, soil water of 6–10 years, and river water of 6–9 years. The estimated active aquifer storage ranged 1.0–2.6 meters of water. The study highlights XEW’s substantial groundwater storage capacity, which consistently contributes to river flow under varying hydrological conditions, though preferential release of soil water occurs during storm event. These findings underscore the critical role of groundwater in sustaining streamflow and the necessity for careful water resource management. Additionally, the research emphasizes the importance of precise parameter selection in tracer-based modeling and calls for future high-resolution, long-term studies to further refine hydrological understanding.

How to cite: Xu, Z., Tian, F., Cui, Z., Nan, Y., and Tong, R.: Groundwater Dominance in Streamflow Generation of a Semi-Humid Headwater in North China: Insights from Isotope Analysis, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-7824, https://doi.org/10.5194/egusphere-egu25-7824, 2025.

A.63
|
EGU25-8147
Ondrej Nol, Martin Zrazavecky, and Vratislav Zabka

In Quaternary hydrogeological zones along large rivers, performing a simple groundwater balance is highly challenging. Quantifying groundwater resources is particularly difficult due to their variability over time, influenced by replenishment possibility and usage intensity. Groundwater flows from slopes in adjacent hydrogeological zones of the base layer, drains from underlying hydrogeological zones, recharges through precipitation, or inflows from rivers. The Quaternary hydrogeological zones contain numerous abstraction areas where withdrawals, along with groundwater inflows from surrounding areas and bedrock, drought, recharge rates, and surface water levels, influence observed groundwater levels. The resulting groundwater level in monitored wells reflects the combined impact of these factors, regardless of their fluctuating contributions.

The only consistently measurable variable is groundwater withdrawal, which has been recorded since 1980. Withdrawals can significantly affect groundwater levels, especially during dry periods such as 1990 – 1994 and 2015–2020. The highest recorded groundwater abstraction in the Quaternary hydrogeological regions occurred in 1989, reaching approximately 5.2 m³/s. Withdrawals began to decline substantially after 1994. During 1990 – 1994, a hydrological drought coincided with high withdrawals. This dry period was comparable in scope and duration to the drought during 2015–2020. Time series of base flow data from the Czech Hydrometeorological Institute indicate that inflows or base flow from underlying hydrogeological zones reached historical minimums during 2015–2020. The second-lowest base flow was recorded for 1990–1994. Low base flows are typically caused by reduced recharge during dry periods, which also lead to a significant drop in groundwater levels. Unsurprisingly, both periods 1990 – 1994 and 2015 – 2020 are characterized by the lowest groundwater levels observed in monitoring network wells over the past 40 years.

The primary distinguishing factor between these two periods is groundwater withdrawals. During 1990 – 1994, withdrawals averaged around 5 m³/s, whereas by 2015 – 2020, abstractions had decreased to half that amount. This reduction often led to groundwater levels in 1990 – 1994 being significantly lower than those in 2015 – 2020. Based on the observed impacts of groundwater withdrawals on levels during dry periods, this study provides an assessment of groundwater balance in individual Quaternary hydrogeological zones.

How to cite: Nol, O., Zrazavecky, M., and Zabka, V.: Evaluation of Groundwater Balance in Quaternary Hydrogeological Zones Using Historical Records of Groundwater Levels and Withdrawals in Czechia, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-8147, https://doi.org/10.5194/egusphere-egu25-8147, 2025.

A.64
|
EGU25-13074
|
ECS
|
|
Shulamit Nussboim, Lea Wittenberg, Elazar Volk, and Felicia Orah Rein

Organic pollutants, including pesticides and pharmaceuticals from irrigation with treated effluents, drift to the environment, risking habitats and organisms. Where nutrient behavior is predictable, organic pollutants include hundreds of molecules, and predicting their environmental fate is not obvious. Some research investigated tenth or hundreds of pesticides; however, the authors' discussion focused on the most frequently detected compounds, neglecting the latent information in the distribution of uncommon and low-concentration compounds.  Other research has focused on specific compound leaching or environmental fate. This research aims to develop fundamental principles for understanding and organizing knowledge related to the fate and transport of a large number of organic compounds in the environment, supported by field observations.

The current study was conducted in two fields on the Kishon Stream banks, a coastal stream in Israel. Field areas are characterized by heavy soils and high groundwater tables. A subsurface tile drainage system was installed to reduce water levels. This system provided easy access to the subsurface. Together with piezometers, it provided easy investigation of surface-subsurface-groundwater continuum interactions. 

Groundwater time series were collected before, during, and after the storm from the shallow piezometers (5 m). The time interval between samples was 2-3 days to closely track the pollutants leaching. Subsurface and surface water were collected during the storm. Visual classification of time series together with clustering methods could distinguish different leaching processes and governing factors involved. A linear fit was applied to obtain correlated processes and concentrations regarding all detected compounds in any two samples.

Groundwater time series displayed four patterns for most compounds. Very mobile or low-mobility compounds exhibited decreasing concentrations at the storm start. Low-intermediate mobility compounds and legacy pollutants exhibited a concentration rise. All compounds were diluted in the storm peak. Post-storm peak concentrations in the groundwater were correlated with the subsurface.

The linear fit of groundwater on the second day to the subsurface water was insignificant. However, the best fit was detected on the fifth day, after the storm peak, demonstrating the subsurface pollutants retardation after the storm peak. Dendrogram distinguished pre-storm samples and post-storm samples, relating post-storm concentrations to storm peak. We propose to attribute the pre-storm water to old soil water leaching resulting in low-intermediate pollutants leaching involved in adsorption-desorption processes in soil water. After the storm peak, we expect the leaching of pollutants washed from the upper soil layer; in a case, their mobility is significant enough. Very immobile compounds did not emerge after the storm, nor very mobile, which are not expected to occupy the soil column. The current study takes the advantage of many compounds to define patterns and rules that can explain the transport processes regarding the governing factors: mobility, environmental concentration, and timing in the storm.

How to cite: Nussboim, S., Wittenberg, L., Volk, E., and Rein, F. O.: Leaching patterns of organic pollutants in agricultural fields, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-13074, https://doi.org/10.5194/egusphere-egu25-13074, 2025.

A.65
|
EGU25-17554
|
ECS
Jaswant Singh, Maurizio Polemio, and Livia Emanuela Zuffianò

The increasing reliance on groundwater resources and the widespread occurrence of seawater intrusion in coastal regions demand an integrated approach to characterize and manage these aquifers. In this study, a multi-tracer methodology combined with hydrochemical modeling was employed to investigate the hydrogeological dynamics of the Metaponto coastal aquifer in southern Italy. Groundwater age dating was achieved using tritium (3H) and radiocarbon (14C) isotopes, complemented by stable isotope signatures (δ¹⁸O and δ²H) to trace recharge processes, flow paths, and mixing dynamics.

Hydrogeochemical analyses, including major ions (Ca²⁺, Mg²⁺, Na⁺, K⁺, Cl⁻, SO₄²⁻, NO₃⁻) and minor constituents (e.g., Al, As, B, Ba, Co, Cr, Cu, Fe, Li, Mn, Mo, Ni, Sr, U, Zn), were conducted to characterize the aquifer's chemical signature and identify processes such as seawater intrusion, cation exchange, and anthropogenic influence. Environmental isotopes of hydrogen (δ²H), oxygen (δ¹⁸O), and carbon (δ¹³C) were also utilized to trace groundwater origin, evaluate recharge mechanisms, and identify geochemical reactions. To simulate groundwater flow and assess the impact of density-driven processes, the MODFLOW/SEAWAT code was utilized. This coupled flow and transport model provided insights into the movement of freshwater and saltwater within the aquifer system, enabling the refinement of the conceptual hydrogeological model.

The results reveal the complex interplay between freshwater recharge and seawater intrusion, emphasizing the role of geochemical interactions and flow dynamics in shaping the aquifer's characteristics. This integrated approach has proven effective in enhancing the understanding of coastal aquifers and highlights the critical need for such methodologies in managing groundwater resources under increasing anthropogenic and climate pressures.

This work was supported by the ENI-CNR joint Research Center “Water - Hypatia of Alexandria” (Metaponto, Italy).

 

Keywords: Coastal aquifer, Seawater intrusion, Multi-tracer approach, Hydrochemical analysis, Environmental isotopes

How to cite: Singh, J., Polemio, M., and Zuffianò, L. E.: Hydrochemical and Isotopic Characterization of Groundwater in the Metaponto Coastal Aquifer, Italy, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-17554, https://doi.org/10.5194/egusphere-egu25-17554, 2025.

A.66
|
EGU25-19345
Stefanie Lutz, Julien Farlin, Alicia Correa, Sascha Mueller, and Michael Stockinger

In recent years, there has been a significant shift in the modelling approaches used for estimating transit times in hydrological systems. While classical lumped parameter models (LPM) have long been the standard, StorAge Selection functions (SAS-functions) have gained considerable popularity. However, a tool facilitating the use and comparison of both approaches is still lacking.

The WITS toolbox, developed as part of the COST Action WATSON, offers a unique opportunity to explore and compare both methodologies. WITS is an R-based software tool catering to both experienced researchers and newcomers to the field of transit-time modelling. It allows estimating storage volumes and dynamics, and transit times in various systems, including lysimeters, groundwater and catchments through the application of input-output modelling with environmental tracers (i.e., tritium, deuterium, and oxygen-18).

WITS includes a comprehensive manual guiding through the software's functionalities and modelling processes and comes with multiple case studies that demonstrate practical applications of the software in different hydrological settings.

WITS allows users to explore and compare transit-time methodologies, advancing research in hydrology and fostering a deeper understanding of water system behaviors.

How to cite: Lutz, S., Farlin, J., Correa, A., Mueller, S., and Stockinger, M.: The WITS software toolbox – Water Isotope modelling for Transit time and Storage, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-19345, https://doi.org/10.5194/egusphere-egu25-19345, 2025.

A.67
|
EGU25-19952
YanXi Chen, Jr Chuan Huang, Jun Yi Lee, and Jui Ping Chen

The passage of water through a watershed implies the residence time of water within the system that closely related to water resource recharge, the rate of chemical weathering, the speed of pollutant degradation, or agricultural practices. Currently, the evaluation of transit time requires a combination of sampling data and model calculations. However, the models cannot be finely adjusted for different influencing factors, and the input data relies on on-site sampling.This study selected 19 sub-watersheds in Pinglin area of Taiwan to collect stable isotope data for transit time modeling. Storage selection model was used to calculate the transit time, and regression methods were then employed to assess the relationship between watershed transit time and various geomorphic indices. In study period 2013 to 2015, result indicated that the mean transit time of discharge 19 outlet range from 240 to 508 days, and young water fraction account for 10% to 23%, close to the value of other headwater chatchment in northen Taiwan. Area, flowpath length, and high above the nearest drainage (HAND) geomorphic indices were calculates, range from 1.09 to 196 km2, 57.5 to 68.3m respectively, and the area proportion of the relief from nearest drainage under 5m range can up to 6.6%.

How to cite: Chen, Y., Huang, J. C., Lee, J. Y., and Chen, J. P.: The relationship between water transit time and geomorpholoy in PinLin, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-19952, https://doi.org/10.5194/egusphere-egu25-19952, 2025.

A.68
|
EGU25-19969
|
ECS
Uğur Boyraz and Hayri Baycan

Groundwater residence times are key to unraveling the complex dynamics of aquifers, providing insights into their hydrological processes and contaminant transport mechanisms. Hyporheic flow, as an integral component of surface water-groundwater interactions, causes the exchange of substances between surface water and groundwater, enabling pollutants to migrate into aquifers, travel within them, and eventually return to surface water. Groundwater residence time in such systems plays a vital role in developing strategies to protect water resources and promote their sustainable use. In the literature, various analytical and numerical models have been applied to estimate residence time. In addition to these approaches, advancements in technology have introduced artificial intelligence and machine learning methods as valuable tools for determining residence time. The performance of different algorithms in calculating residence time may vary depending on the complexity and specific characteristics of the model. Therefore, investigating the performance of machine learning methods in this context is essential. This study aims to predict the travel times of particles to a stream within a stream-aquifer system using the XGBoost machine learning algorithm. The datasets used in the study were prepared based on a previously developed mathematical model for the system. The velocity vectors derived from the mathematical model were employed to calculate the travel times of particles to the stream. To train the machine learning model and estimate residence time, six parameters affecting travel time were analyzed: hydraulic conductivity (K), stream slope (S), aquifer length (Ly), aquifer width (Lx), and the x and y coordinates of the particles. During model development, random scenarios were generated to create training data. Feature engineering was applied to improve model accuracy, incorporating derived parameters such as “Ly×S” and replacing the x and y coordinates with more meaningful features like the “y/x” ratio. The results demonstrated that hydraulic conductivity and the “Ly×S” parameter had the most significant impact on travel times. Higher hydraulic conductivity reduced travel time, while the influence of stream slope was more pronounced at higher slope levels. An increase in Ly shortened travel times, whereas an increase in Lx increased them. Additionally, the initial positions of the particles and their distances to the stream were found to have a significant impact on the model's performance in predicting travel times. The model’s performance was evaluated using error metrics such as the coefficient of determination (R²), mean absolute error (MAE), and mean absolute percentage error (MAPE), achieving high accuracy. The findings indicate that particle travel times to the stream can be effectively predicted using the XGBoost model. This study provides a practical and efficient model that can be utilized for managing stream-aquifer systems and analyzing pollutant transport. The results contribute to the determination of residence time dynamics in stream-aquifer interactions and provide a foundation for future studies.

How to cite: Boyraz, U. and Baycan, H.: Predicting Residence Times in Stream-Aquifer Systems with XGBoost Machine Learning Algorithm, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-19969, https://doi.org/10.5194/egusphere-egu25-19969, 2025.

A.69
|
EGU25-20131
|
ECS
Luca Varisano, Nataline Simon, and Serge Brouyère

In heterogeneous aquifers, accurately characterizing groundwater flux and direction is crucial for predicting contaminant transport. Among emerging methods, Active-Distributed Temperature Sensing (Active-DTS) has proven to be highly effective for estimating groundwater fluxes at high spatial resolution in porous media. Active-DTS measurements involve heating a Fiber Optic (FO) cable and monitoring the associated temperature response. The temperature elevation measured along the heated section directly depends on the groundwater flux in the aquifer, with higher flux resulting in lower temperature elevation and faster temperature stabilization.

While this method is particularly effective in unconsolidated porous media, its application in consolidated aquifers is limited. In such cases, the heated fiber optic cable must be installed outside the piezometer within the gravel filter. As it has been already studied, the presence of any piezometer induces the distortion of the natural groundwater flow field in its vicinity. In this configuration, the temperature increase measured during Active-DTS measurements is highly dependent on the position of the FO cable relative to the flow direction. This means that the FO cable must be aligned with the natural flow streamlines for the measurements to accurately represent the actual groundwater flux. Unfortunately, the effective position of the FO cable is often unknown, introducing significant uncertainties in groundwater flux estimates.


To address these limitations, we propose an innovative approach for estimating groundwater flow direction and flow within consolidated aquifers. This novel setup involves the vertical deployment of multiple heatable FO cables in the gravel filter surrounding the piezometer.


First numerical modelling indicates that this approach is promising for estimating groundwater flow direction. This configuration allows for the sequential heating of individual FO cables while tracking the displacement of the resulting heat plume using the other cables. By repeating this process, the groundwater flow direction can be determined. The presence of multiple heated FO cables facilitates the estimation of flux at various locations within the gravel filter, providing insights into the groundwater flow distortion and flux within the aquifer.

How to cite: Varisano, L., Simon, N., and Brouyère, S.: Characterization of groundwater flux and direction using Active-Distributed Temperature Sensing, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-20131, https://doi.org/10.5194/egusphere-egu25-20131, 2025.