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  • PANGAEA  (1,461)
  • Frontiers  (2)
  • Berlin : Institut für Zukunftsstudien und Technologiebewertung  (1)
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  • 1
    Publication Date: 2024-02-07
    Description: Nitrate, an essential nutrient for primary production in natural waters, is optically detectable in the ultraviolet spectral region of 217–240 nm, with no chemical reagents required. Optical nitrate sensors allow monitoring at high temporal and spatial resolutions that are difficult to achieve with traditional approaches involving collection of discrete water samples followed by wet-chemical laboratory analysis. The optical nitrate measurements are however subject to matrix interferences in seawater, including bromide, at the spectral range of interest. Significant progress has been made over the last 10 years in improving data quality for seawater nitrate analysis using the ISUS and SUNA (Seabird Scientific, United States) optical sensors. Standardization of sensor calibration and data processing procedures are important for ensuring comparability of marine nitrate data reported in different studies. Here, we improved the calibration and data processing of the OPUS sensor (TriOS GmbH, Germany), and tested five OPUS sensors simultaneously deployed under identical conditions in the laboratory in terms of inter-sensor similarities and differences. We also improved the sampling interval of the OPUS to 3 s in a continuous mode by a custom-built controller, which facilitates the integration of the sensor into autonomous profiling systems. Real-time, high-resolution, in situ measurements were conducted through (1) underway surface measurements in the southeastern North Sea and (2) depth profiles on a conductivity–temperature–depth frame in the tropical Atlantic Ocean. The nitrate data computed from the optical measurements of the sensor agreed with data from discrete water samples analyzed via conventional wet-chemical methods. This work demonstrates that the OPUS sensor, with improved calibration and data processing procedures, allows in situ quantification of nitrate concentrations in dynamic coastal waters and the open ocean, with an accuracy better than ∼2 μM and short-term precision of 0.4 μM NO 3 – . The OPUS has a unique depth rating of 6,000 m and is a good and cost-effective nitrate sensor for the research community.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
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  • 2
    Publication Date: 2024-02-14
    Description: Subterranean estuaries are connective zones between inland aquifers and the open sea where terrestrial freshwater and circulating seawater mix and undergo major biogeochemical changes. They are biogeochemical reactors that modify groundwater chemistry prior to discharge into the sea. We propose that subterranean estuaries of high-energy beaches are particularly dynamic environments, where the effect of the dynamic boundary conditions propagates tens of meters into the subsurface, leading to strong spatio-temporal variability of geochemical conditions. We hypothesize that they form a unique habitat with an adapted microbial community unlike other typically more stable subsurface environments. So far, however, studies concerning subterranean estuaries of high-energy beaches have been rare and therefore their functioning, and their importance for coastal ecosystems, as well as for carbon, nutrient and trace element cycling, is little understood. We are addressing this knowledge gap within the interdisciplinary research project DynaDeep by studying the combined effect of surface (hydro- and morphodynamics) on subsurface processes (groundwater flow and transport, biogeochemical reactions, microbiology). A unique subterranean estuary observatory was established on the northern beach of the island of Spiekeroog facing the North Sea, serving as an exemplary high-energy research site and model system. It consists of fixed and permanent infrastructure such as a pole with measuring devices, multi-level groundwater wells and an electrode chain. This forms the base for autonomous measurements, regular repeated sampling, interdisciplinary field campaigns and experimental work, all of which are integrated via mathematical modelling to understand and quantify the functioning of the biogeochemical reactor. First results show that the DynaDeep observatory is collecting the intended spatially and temporally resolved morphological, sedimentological and biogeochemical data. Samples and data are further processed ex-situ and combined with experiments and modelling. Ultimately, DynaDeep aims at elucidating the global relevance of these common but overlooked environments.
    Type: Article , PeerReviewed
    Format: text
    Format: video
    Format: image
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  • 3
    Publication Date: 2024-04-16
    Description: Das Zusammenspiel von aufstrebenden Technologiefeldern eröffnet neue Potenziale für die Nachhaltigkeitstransformation. Gleichzeitig erzeugt es komplexe Umweltbelastungen, die bisher kaum sichtbar und noch weniger gestaltbar sind. Für eine nachhaltige Digitalisierung brauchen wir jetzt ein Verständnis für die ökologischen Wechselwirkungen des zukünftigen Digitalsystems. Am Beispiel der Machine Economy und der ihr zugrunde liegenden Technologien Internet of Things, Künstliche Intelligenz und Distributed Ledger Technologie bzw. Blockchain machen wir in diesem Forschungsbericht Umweltwirkungen transparent und Ansatzpunkte greifbar - damit Digitalisierung ganzheitlich ökologisch gestaltbar wird.
    Keywords: ddc:600
    Repository Name: Wuppertal Institut für Klima, Umwelt, Energie
    Language: German
    Type: report , doc-type:report
    Format: application/pdf
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  • 4
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    PANGAEA
    In:  Supplement to: Hieronymi, Martin; Macke, Andreas; Zielinski, Oliver (2012): Modeling of wave-induced irradiance variability in the upper ocean mixed layer. Ocean Science, 8(2), 103-120, https://doi.org/10.5194/os-8-103-2012
    Publication Date: 2023-06-12
    Description: A Monte Carlo based radiative transfer model has been developed for calculating the availability of solar radiation within the top 100 m of the ocean. The model is optimized for simulations of spatial high resolution downwelling irradiance Ed fluctuations that arise from the lensing effect of waves at the water surface. In a first step the accuracy of simulation results has been verified by measurements of the oceanic underwater light field and through intercomparison with an established radiative transfer model. Secondly the potential depth-impact of nonlinear shaped single waves, from capillary to swell waves, is assessed by considering the most favorable conditions for light focusing, i.e. monochromatic light at 490 nm, very clear oceanic water with a low chlorophyll a content of 0.1 mg/m**3 and high sun elevation. Finally light fields below irregular wave profiles accounting for realistic sea states were simulated. Our simulation results suggest that under open ocean conditions light flashes with 50% irradiance enhancements can appear down to 35 m depth, and light variability in the range of ±10% compared to the mean Ed is still possible in 100 m depth.
    Type: Dataset
    Format: application/zip, 19 datasets
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  • 5
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    PANGAEA
    In:  Supplement to: Holinde, Lars; Badewien, Thomas H; Freund, Jan A; Stanev, Emil V; Zielinski, Oliver (2015): Processing of water level derived from water pressure data at the Time Series Station Spiekeroog. Earth System Science Data, 7(2), 289-297, https://doi.org/10.5194/essd-7-289-2015
    Publication Date: 2023-06-12
    Description: The quality of water level time series data strongly varies with periods of high and low quality sensor data. In this paper we are presenting the processing steps which were used to generate high quality water level data from water pressure measured at the Time Series Station (TSS) Spiekeroog. The TSS is positioned in a tidal inlet between the islands of Spiekeroog and Langeoog in the East Frisian Wadden Sea (southern North Sea). The processing steps will cover sensor drift, outlier identification, interpolation of data gaps and quality control. A central step is the removal of outliers. For this process an absolute threshold of 0.25m/10min was selected which still keeps the water level increase and decrease during extreme events as shown during the quality control process. A second important feature of data processing is the interpolation of gappy data which is accomplished with a high certainty of generating trustworthy data. Applying these methods a 10 years dataset (December 2002-December 2012) of water level information at the TSS was processed resulting in a seven year time series (2005-2011).
    Type: Dataset
    Format: application/zip, 7 datasets
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  • 6
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    PANGAEA
    In:  Hochschule Bremerhaven - University of Applied Sciences
    Publication Date: 2023-06-12
    Keywords: Blue-green algae; Chlorophyll a; CTD, SEA-BIRD SBE 19plus, SN 5082; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; HAB-DK; HAB-DK01; HAB-DK02; HAB-DK03; HAB-DK04; HAB-DK05; HAB-DK06; HAB-DK07; HAB-DK08; HAB-DK09; HAB-DK10; HAB-DK11; HAB-DK12; HAB-DK13; HAB-DK14; HAB-DK15; HAB-DK16; HAB-DK17; HAB-DK18; HAB-DK19; HAB-DK20; HAB-DK21; HAB-DK22; HAB-DK23; HAB-DK24; HAB-DK25; Latitude of event; Longitude of event; microFlu blue, Trios, SN 105D; microFlu chl-a, Trios, SN 106A; North Sea; Oxygen; Oxygen optode, Aanderaa type 4175, SN 435; Salinity; Skagerrak; Temperature, water; Turbidity (Formazin Turbidity Unit); Turbidity meter, Seapoint, Seapoint turbidity meter; Uthörn
    Type: Dataset
    Format: text/tab-separated-values, 3132 data points
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  • 7
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    PANGAEA
    In:  Hochschule Bremerhaven - University of Applied Sciences
    Publication Date: 2023-06-12
    Keywords: ALTITUDE; Anemometer; Calculated from wind direction description; Cloud cover; CTD/Rosette; CTD-RO; Date/Time of event; Event label; HAB-DK; HAB-DK01; HAB-DK02; HAB-DK03; HAB-DK04; HAB-DK05; HAB-DK06; HAB-DK07; HAB-DK08; HAB-DK09; HAB-DK10; HAB-DK11; HAB-DK12; HAB-DK13; HAB-DK14; HAB-DK15; HAB-DK16; HAB-DK17; HAB-DK18; HAB-DK19; HAB-DK20; HAB-DK21; HAB-DK22; HAB-DK23; HAB-DK24; HAB-DK25; Latitude of event; Longitude of event; North Sea; Skagerrak; Uthörn; Visual observation; Wind direction; Wind direction description; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 91 data points
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  • 8
    Publication Date: 2023-06-12
    Keywords: BEFmate; BEFmate_I3upp_pole; Biodiversity – Ecosystem Functioning across marine and terrestrial ecosystems; DATE/TIME; DEFI-T Miniature Light Intensity Recorder (SN 097H012); ICBM; Institut für Chemie und Biologie des Meeres; Light intensity; MULT; Multiple investigations; off Spiekeroog, German Bight, North Sea
    Type: Dataset
    Format: text/tab-separated-values, 4464 data points
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  • 9
    Publication Date: 2023-06-12
    Keywords: BEFmate; BEFmate_I3upp_pole; Biodiversity – Ecosystem Functioning across marine and terrestrial ecosystems; DATE/TIME; DEFI-T Miniature Light Intensity Recorder (SN 097H012); ICBM; Institut für Chemie und Biologie des Meeres; Light intensity; MULT; Multiple investigations; off Spiekeroog, German Bight, North Sea
    Type: Dataset
    Format: text/tab-separated-values, 4464 data points
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  • 10
    Publication Date: 2023-06-12
    Keywords: BEFmate; BEFmate_I3upp_pole; Biodiversity – Ecosystem Functioning across marine and terrestrial ecosystems; DATE/TIME; DEFI-T Miniature Light Intensity Recorder (SN 097H012); ICBM; Institut für Chemie und Biologie des Meeres; Light intensity; MULT; Multiple investigations; off Spiekeroog, German Bight, North Sea
    Type: Dataset
    Format: text/tab-separated-values, 4032 data points
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