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  • 2020-2023  (2,314)
  • 2000-2004  (16)
  • 2020  (2,330)
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  • 1
    Publication Date: 2022-12-22
    Description: Das Obere Mittelrheintal ist in den vergangenen Jahren mehrfach von Murgängen in Folge von Starkregenereignissen betroffen gewesen. Dadurch ereigneten sich immer wieder Zugunfälle mit weitreichenden Schäden. Es besteht daher ein Bedarf einer vorsorgenden Gefahrenanalyse, um weitere Sach- und ggf. auch Personenschäden nach Möglichkeit zu verhindern. Der hier vorgestellte Forschungsansatz hatte die Ausweisung unterschiedlicher Gefahrenzonen für Murenabgänge am Mittelrheintal zur Priorisierung ortsbezogener Vorsorgemaßnahmen zum Ziel. Weiter wurde die Wirksamkeit verschiedener Vorsorgemaßnahmen geprüft. Zur Erreichung der genannten Ziele wurden numerische Simulationen des Abflussgeschehens und Sedimenttransports durchgeführt. Dabei konnte gezeigt werden, dass mittels der Module r.sim.water und r.sim.sediment unter der Open Source-Software GRASS GIS die Abflussbedingungen am Beispiel eines konkreten Starkregenereignisses und dadurch ausgelöster Muren in den Simulationen plausibel nachgestellt werden konnten. Dafür war die Implementation von realen Landnutzungs- und Bodendaten in das Modell entscheidend. Die Anwendbarkeit der Programme konnte weiterhin durch verschiedene Vorwärtssimulationen gezeigt werden, bei denen wichtige Parameter der Abflussbildung, wie etwa die Landnutzung und die Topographie, markant verändert wurden. Durch eine Verschneidung der aus den Simulationen errechneten Werte mit einem nach TRSTUVVU (1999) entwickelten Ansatz zur Ermittlung minimalkritischer Abflusswerte für die Entstehung eines Murgangs wurden gefährdete Bereiche für die Auslösung von Muren bei Starkregenereignissen im betrachteten Projektgebiet bestimmt. Diese decken sich mit den tatsächlichen Murgängen und können daher als plausibel eingeschätzt und für eine Gefährdungszonierung verwendet werden.
    Description: Abstract: In recent years, the Upper Middle Rhine Valley has been affected by several debris flow events as a result of heavy rainfall. As a result, several train accidents with far reaching damage occurred. Therefore there is a need for a precautionary hazard analysis in order to prevent further property damage and possibly personal injury. The here presented research approach is aimed to identify different danger zones for debris flows at the Middle Rhine Valley in order to prioritize location-based precautionary measures. The effectiveness of various preventive measures was also examined. Numerical simulations of the runoff and sediment transport were carried out on an open source basis to achieve the stated goals. Using the modules r.sim.water and r.sim.sediment under GRASS GIS it was possible to plausibly simulate the runoff conditions that triggered of a real double mudflow event following a heavy rainfall. A crucial adaptation was the implementation of real land use and soil data into the model. The applicability of the programs could also be demonstrated by various forward simulations in which important parameters of runoff formation, such as topography, were significantly altered. By overlapping the values that were calculated using simulations with an approach developed according to TRSTUVVU (1999) to determine minimally critical discharge values for the formation of a debris flow, endangered areas for the triggering of mudslides during heavy rain events in the project area could be determined. These coincide with the position of the actual debris flows and can therefore be assessed as plausible and also shows to possibility to be used for hazard zoning.
    Description: research
    Keywords: ddc:551.304 ; ddc:551.307 ; Mittelrheintal ; Muren ; Starkregen ; Sediment
    Language: German
    Type: doc-type:article , publishedVersion
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  • 2
    Publication Date: 2022-12-22
    Description: In the Koyna–Warna region, western India, an enormous number of microearthquakes was detected automatically on borehole records. Most of these events could not be identified on the surface network by a routine approach based on visual inspection primarily due to signal attenuation and the presence of noise. In this work, we implemented an automatic detection workflow to analyze the time series of an earthquake sequence that has clear foreshock and aftershock activity associated with an Mw 4.0 earthquake that occurred on 3 June 2017. Further, we applied a nested grid‐search algorithm to constrain the absolute earthquake locations. For about one month of data, a total of ∼1500 earthquakes were detected based on the automatic detection process, out of which ∼1000 earthquakes were locatable. All event detections, P‐wave and S‐wave phase readings were manually inspected and refined to ensure their quality. Previously, only about 435 events were well located based on the visual inspection approach for the same time period. Also, we analyzed repeated earthquakes based on waveform similarity leading to an improvement in the relocations of earthquakes of the aforementioned earthquake sequence. The relocated seismicity aligns parallel to a deep‐reaching lineament derived from recent investigations using airborne light detection and ranging measurements.
    Type: info:eu-repo/semantics/article
    Format: application/pdf
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  • 3
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-12-21
    Description: Dataset: NLT time series: 2014-2016 temperature and depth
    Description: This dataset includes temperature and water depth time series data from intertidal, 1, 2, 5, 6, and 8-meter sites located nearshore Calumet Park, La Jolla, Southern California, April 2014 through November 2016. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/709181
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1357290, NSF Division of Ocean Sciences (NSF OCE) OCE-1357327
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 4
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-12-21
    Description: Dataset: Habitat characteristics 2014-2016
    Description: Reported in this dataset are monthly surveys of the barnacle Chthamalus fissus settlement rates and their habitats measured as percent cover by live and dead barnacles, algae, sand, other, and free space. The study took place at Bird Rock, La Jolla, CA in the southern California nearshore from December 2014 through November 2016. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/743915
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1357290, NSF Division of Ocean Sciences (NSF OCE) OCE-1357327
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 5
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-12-21
    Description: Dataset: Barnacle larval supply and settlement 2014-2015
    Description: Barnacle larvae settlement rates of Chthamalus fissus were measured in the rocky intertidal on settlement plates and compared with rates in larval traps at the same location. Settlement plates were deployed at Bird Rock, La Jolla, CA in the southern California nearshore from June 2014 to August 2015. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/743845
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1357290, NSF Division of Ocean Sciences (NSF OCE) OCE-1357327
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 6
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-12-21
    Description: Dataset: Weekly barnacle settlement 2014-2017
    Description: Barnacle larvae daily settlement rates, weekly average and predicted weekly average of daily settlement. From settlement plates deployed at Bird Rock, La Jolla, CA in the southern California nearshore from April 2014 to June 2016. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/743826
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1357290, NSF Division of Ocean Sciences (NSF OCE) OCE-1357327, NSF Division of Ocean Sciences (NSF OCE) OCE-1630474, NSF Division of Ocean Sciences (NSF OCE) OCE-1630459
    Repository Name: Woods Hole Open Access Server
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  • 7
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-12-21
    Description: Dataset: Larval abundance 2014-2016
    Description: Abundances of barnacle and bryozoan larvae collected in the water column on multiple cruises at stations along the Southern California nearshore at depths 0-~14 m water depth and from offshore Calumet Park, La Jolla, Southern California, from 2014-05-09 to 2016-10-04. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/743779
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1357290, NSF Division of Ocean Sciences (NSF OCE) OCE-1357327, NSF Division of Ocean Sciences (NSF OCE) OCE-1630474, NSF Division of Ocean Sciences (NSF OCE) OCE-1630459
    Repository Name: Woods Hole Open Access Server
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  • 8
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-12-21
    Description: Dataset: Current profiles: 2014-2016
    Description: Current meter data from the 5, 6, and 8 meter sites, offshore Calumet Park, La Jolla, Southern California, April 2014 through November 2016. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/707078
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1357290, NSF Division of Ocean Sciences (NSF OCE) OCE-1357327, NSF Division of Ocean Sciences (NSF OCE) OCE-1630474, NSF Division of Ocean Sciences (NSF OCE) OCE-1630459
    Repository Name: Woods Hole Open Access Server
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  • 9
    Publication Date: 2022-12-19
    Type: info:eu-repo/semantics/article
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  • 10
    Publication Date: 2022-12-09
    Type: info:eu-repo/semantics/article
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