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  • 3H-CH4 incubation; DATE/TIME; Depth, bathymetric; DEPTH, water; EC-619; EC-629; EC-639; EC-659; EC-679; EC-699; EC-719; EC-724; Elbe Estuary; Event label; Latitude of event; Longitude of event; Methane; Methane oxidation rate; Methane oxidation rate, standard deviation; Monitoring station; MONS; Salinity; Suspended particulate matter; Temperature, water; Turnover time  (2)
  • 2021_Heligoland_CH4; Alfred-Wegener-Institute; DATE/TIME; dissolved methane; in situ data; MaGeCH; Methane, dissolved; Methane sensor, -4H- JENA engineering GmbH, CONTROS HydroC® CH₄; Modular Observation Solutions for Earth Systems; MOSES  (1)
  • PANGAEA  (3)
  • ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
Collection
Keywords
Publisher
  • PANGAEA  (3)
  • ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
Years
  • 1
    Publication Date: 2023-02-12
    Keywords: 3H-CH4 incubation; DATE/TIME; Depth, bathymetric; DEPTH, water; EC-619; EC-629; EC-639; EC-659; EC-679; EC-699; EC-719; EC-724; Elbe Estuary; Event label; Latitude of event; Longitude of event; Methane; Methane oxidation rate; Methane oxidation rate, standard deviation; Monitoring station; MONS; Salinity; Suspended particulate matter; Temperature, water; Turnover time
    Type: Dataset
    Format: text/tab-separated-values, 644 data points
    Location Call Number Expected Availability
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  • 2
    Publication Date: 2023-10-19
    Description: The dataset is about temporal variability of dissolved methane along the freshwater-sea continuum in northern Germany. Sensors were installed at fixed stations at in total three sites at different water depths. This dataset is from the station in Heligoland (54.1833 N, 7.8667 E) at about 9-12m depth (depending on the tide). The data was obtained between 27 April and 28 October in high frequency measurements (1 min) with a methane sensor from Kongsberg (4H Jena model CONTROS HydroC CH4,). Methane concentrations were calculated according to manufacturer's instructions, based on temperature and salinity values from UW-node Heligoland (Fischer, Philipp; Happel, Lea; Brand, Markus; Eickelmann, Laura; Lienkämper, Miriam; Bussmann, Ingeborg; Anselm, Norbert; Brix, Holger (2022): Hydrographical time series data of Helgoland, Southern North Sea, 2021. PANGAEA, https://doi.org/10.1594/PANGAEA.950173). A gap in the salinity data was replaced with the median value of the observed time span (31.66). For the quality control of the data a local range of 0.1 – 1000 nmol/L was set, a technical range for the pump power 2 – 8. Watt, a spike and gradient value of 1. For a more detailed description see the article cited in References.
    Keywords: 2021_Heligoland_CH4; Alfred-Wegener-Institute; DATE/TIME; dissolved methane; in situ data; MaGeCH; Methane, dissolved; Methane sensor, -4H- JENA engineering GmbH, CONTROS HydroC® CH₄; Modular Observation Solutions for Earth Systems; MOSES
    Type: Dataset
    Format: text/tab-separated-values, 200282 data points
    Location Call Number Expected Availability
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  • 3
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    Unknown
    PANGAEA
    In:  Supplement to: Matousu, Anna; Osudar, Roman; Simek, Karel; Bussmann, Ingeborg (2016): Methane distribution and methane oxidation in the water column of the Elbe estuary, Germany. Aquatic Sciences, 1-16, https://doi.org/10.1007/s00027-016-0509-9
    Publication Date: 2024-02-16
    Description: Rivers represent a transition zone between terrestric and aquatic environments, and between methane rich and methane poor environments. The Elbe River is one of the important rivers draining into the North Sea and with the Elbe potentially high amounts of methane could be imported into the water column of the North Sea. Twelve cruises from October 2010 until June 2013 were conducted from Hamburg towards the Elbe mouth at Cuxhaven. The dynamic of methane concentration in the water column and its consumption via methane oxidation was measured. In addition, physico-chemical parameters were used to estimate their influence on the methanotrophic activity. We observed high methane concentrations at the stations in the area of Hamburg harbor ("inner estuary") and about 10 times lower concentrations in the outer estuary (median of 416 versus 40 nmol/L). The methane oxidation (MOX) rate mirrowed the methane distribution with high values in the inner estuary and low values in the outer estuary (median of 161 versus 10 nmol/L/d respectively) Methane concentrations were significantly influenced by the river hydrology (falling water level) and the trophic state of the water (biological oxygen demand). In contrast to other studies no clear relation to the amount of suspendended particulate matter (SPM) was found. Methane oxidation rates were significantly influenced by methane concentration and to a weaker extent by temperature. Methane oxidation accounted for 41 ± 12% of the total loss of methane in summer/fall, but only for 5 ± 3% of the total loss in winter/spring. We applied a modified box model taking into account the residence times of a water parcel depending on discharge and tidal impact. We observed almost stable methane concentrations in the outer estuary, despite a strong loss of methane through diffusion and oxidation. Thus we postulate that in the outer Elbe estuary a strong additional input of methane is required, which could be provided by the extensive salt marshes near the river mouth.
    Keywords: 3H-CH4 incubation; DATE/TIME; Depth, bathymetric; DEPTH, water; EC-619; EC-629; EC-639; EC-659; EC-679; EC-699; EC-719; EC-724; Elbe Estuary; Event label; Latitude of event; Longitude of event; Methane; Methane oxidation rate; Methane oxidation rate, standard deviation; Monitoring station; MONS; Salinity; Suspended particulate matter; Temperature, water; Turnover time
    Type: Dataset
    Format: text/tab-separated-values, 475 data points
    Location Call Number Expected Availability
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