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  • 1
    Keywords: Forschungsbericht
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (95 Seiten, 6,74 MB) , Illustrationen, Diagramme, Karten
    Language: German
    Note: Gesehen am 11.07.2017 , Verbund-Nummer 01102565 , Paralleltitel dem englischen Berichtsblatt entnommen , Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden , Mit deutscher und englischer Zusammenfassung
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  • 2
    Keywords: Forschungsbericht ; Oberrheingraben ; Tiefe geothermische Energie
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (95 Seiten, 6,74 MB) , Illustrationen, Diagramme, Karten
    Language: German
    Note: Förderkennzeichen BMWi 0325390B. - Verbund-Nummer 01102565 , Paralleltitel dem englischen Berichtsblatt entnommen , Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden , Mit deutscher und englischer Zusammenfassung
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  • 3
    Publication Date: 2021-04-21
    Description: Ocean ventilation is the integrated effect of various processes that exchange surface properties with the ocean interior and is essential for oxygen supply, storage of anthropogenic carbon and the heat budget of the ocean, for instance. Current observational methods utilise transient tracers, e.g. tritium, SF6, CFCs and 14C. However, their dating ranges are not ideal to resolve the centennial-dynamics of the deep ocean, a gap filled by the noble gas isotope 39Ar with a half-life of 269 years. Its broad application has been hindered by its very low abundance, requiring 1000 L of water for dating. Here we show successful 39Ar dating with 5 L of water based on the atom-optical technique Atom Trap Trace Analysis. Our data reveal previously not quantifiable ventilation patterns in the Tropical Atlantic, where we find that advection is more important for the ventilation of the intermediate depth range than previously assumed. Now, the demonstrated analytical capabilities allow for a global collection of 39Ar data, which will have significant impact on our ability to quantify ocean ventilation.
    Type: Article , PeerReviewed
    Format: text
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  • 4
    Publication Date: 2024-02-07
    Description: In the scope of assessing aquifer systems in areas where freshwater is scarce, estimation of transit times is a vital step to quantify the effect of groundwater abstraction. Transit time distributions of different shapes, mean residence times, and contributions are used to represent the hydrogeological conditions in aquifer systems and are typically inferred from measured tracer concentrations by inverse modeling. In this study, a multi-tracer sampling campaign was conducted in the Salalah Plain in Southern Oman including CFCs, SF6, 39Ar, 14C, and 4He. Based on the data of three tracers, a two-component Dispersion Model (DMmix) and a nonparametric model with six age bins were assumed and evaluated using Bayesian statistics. In a Markov Chain Monte Carlo approach, the maximum likelihood parameter estimates and their uncertainties were determined. Model performance was assessed using Bayes factor and leave-one-out cross-validation. Both models suggest that the groundwater in the Salalah Plain is composed of a very young component below 30 yr and a very old component beyond 1,000 yr, with the nonparametric model performing slightly better than the DMmix model. All wells except one exhibit reasonable goodness of fit. Our results support the relevance of Bayesian modeling in hydrology and the potential of nonparametric models for an adequate representation of aquifer dynamics. Key Points: - Groundwater in a semi-arid area was dated with multiple tracers including the first full-scale application of 39Ar with Argon Trap Trace Analysis - Bayesian inference was applied for modeling the transit time distributions using a Markov-Chain Monte Carlo simulation - A Dispersion Model with two components and a nonparametric model with six age bins were applied, both suggesting a mixed groundwater of very old and very young origin
    Type: Article , PeerReviewed
    Format: text
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  • 5
    Publication Date: 2024-04-03
    Description: Highlights • Present day infiltration conditions in an monsoonal environment are studied. • Noble gas concentrations in groundwater are fixed near the soil surface. • Noble gas temperatures represent seasonal infiltration conditions in the monsoon. • Holocene and modern infiltration conditions are quite similar in southern Oman. Abstract Comparing directly measured soil temperatures with noble gas recharge temperatures (NGTs) inferred from noble gas concentrations indicates that the infiltrating soil water equilibrates with soil air near the soil surface during the rainy season. Therefore, NGTs of groundwater recently recharged by the Indian Summer Monsoon (ISM) in the Dhofar Mountains in southern Oman reflect the soil temperatures of the 3-month period and do not represent an annual mean. This finding highlights the need to account for seasonality when interpreting NGT data in regions with pronounced dry and wet seasons. We extend the observations from the southern flank of the Dhofar Mountains to three wells situated on the northern flank of the Dhofar Mountains. Two of these wells yield water of Holocene age that was recharged by the monsoon, their NGT signals are therefore classified as seasonal. The NGT calculated from a third well for recharge conditions during the Last Glacial Maximum (LGM), when the ISM was absent, is approximately 3 °C lower than that of the two Holocene wells. The lower LGM noble gas temperature corresponds well with the lower annual Sea Surface Temperature (SST) in the nearby Arabian Sea. NGTs from published studies from northern Oman are 1–3 °C higher when compared with our data of the same period in the southern Oman. We explain this regional difference of reconstructed temperatures for the LGM and Holocene groundwater with a more continental climatic influence on the infiltration conditions further to the north. The published NGTs from northern Oman show a large temperature difference between the late Holocene and the LGM. In view of our finding of seasonal NGT signals under monsoonal climate, part of this difference may reflect a change in the precipitation regime rather than in air temperature.
    Type: Article , PeerReviewed
    Format: text
    Format: text
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  • 6
    Publication Date: 2024-04-20
    Description: This data set includes noble gas measurements and modeled recharge temperatures from 32 separate groundwater studies, each analyzed using the same consistent framework and set of noble gas temperature models (CE, PR, and OD models). Along with noble gas data and modeled temperatures are site information (coordinates, recharge elevation), groundwater age data, modern recharge temperatures, other model outputs (excess air, fractionation), and uncertainties for all variables of interest. These data were used to estimate LGM-Late Holocene temperature differences from each site and, together, for the large-scale low-latitude, low-elevation land surface.
    Keywords: Arizona_LGM; Brazil_LGM; Bunter-Sandstone-Aquifer_LGM; Dakota_LGM; France_LGM; Georgia_LGM; Great-Hungarian-Plain_LGM; Kalahari_LGM; Minqin-Basin_LGM; Mojave-Desert_LGM; MULT; Multiple investigations; New-Zealand_LGM; North-China-Plain_LGM; Pannonian-Basin_LGM; Sahel_LGM; San-Diego_LGM; San-Juan-Basin_LGM; Switzerland_LGM
    Type: Dataset
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 766.1 kBytes
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  • 7
    Publication Date: 2024-05-11
    Description: This dataset contains a compilation of noble gas, hydrochemistry, stable water isotopes and radiocarbon from dissolved organic carbon data sampled from geothermal power plants and research wells screened in the deep Upper Jurassic Aquifer in the South German Molasse Basin in Bavaria. This dataset was used to calculate noble gas infiltration temperatures and reconstruct the paleoclimate in Southern Germany during the Late Pleistocene. More details on the methods used to calculate noble gas infiltration temperatures and radiocarbon dating can be found in the associated publication.
    Keywords: Accelerator mass spectrometry (AMS), HVE 3MV Tandetron 4130 at the Christian-Albrechts University of Kiel; Argon; Argon, analytical error; Argon-40/Argon-36; Argon-40/Argon-36, analytical error; Bavaria, Germany; Bicarbonate ion; Calcium; Calculated; Carbon-14, modern, dissolved organic carbon; Carbon-14, modern, dissolved organic carbon, analytical error; Chloride; DATE/TIME; Event label; geothermal energy; groundwater; Helium; Helium, analytical error; Ion Chromatograph, Thermo Fisher Scientific, Dionex ICS-1100; Isotopic Water Analyzer, Los Gatos Research, IWA-45EP; Krypton; Krypton, analytical error; Magnesium; Mass Spectrometer (MS), Thermo Fisher Scientific, MM5400; MULT; Multiple investigations; Neon; Neon, analytical error; Neon-20/Neon-22; Neon-20/Neon-22, analytical error; noble gas; Paleoclimate; Potassium; Project; radiocarbon; Sampling Well; Sodium; SouthGermanMolasseBasin_LGM; Titration; Water description; WELL; Well, identifier; Xenon; Xenon, analytical error; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 491 data points
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