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  • Binary Object; Binary Object (File Size); Cryosphere; File content; GNSS; kinematics; Landslides; mass movements; MULT; Multiple investigations; Natural hazards; Permafrost; Rockfall; Swiss_Alps  (2)
  • numerical model
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  • 1
    Publication Date: 2024-04-20
    Description: This dataset collates data of continuously acquired kinematic observations obtained through in-situ Global Navigation Satellite Systems (GNSS) instruments that have been designed and implemented in a large-scale multi field-site monitoring campaign across the whole Swiss Alps. The landforms covered include rock glaciers, high-alpine steep bedrock bedrock as well as landslide sites, most of which are situated in permafrost areas. The dataset was acquired at 54 different stations situated at locations from 2304 to 4003 meter a.s.l and comprises 209'948 daily positions derived through double-differential GNSS post-processing. Apart from these, the dataset contains down-sampled and cleaned time series of weather station and inclinometer data as well as the full set of GNSS observables in RINEX format. Furthermore the dataset is accompanied by tools for processing and data management in order to facilitate reuse, open alternate usage opportunities and support the life-long living data process with updates.
    Keywords: Binary Object; Binary Object (File Size); Cryosphere; File content; GNSS; kinematics; Landslides; mass movements; MULT; Multiple investigations; Natural hazards; Permafrost; Rockfall; Swiss_Alps
    Type: Dataset
    Format: text/tab-separated-values, 20 data points
    Location Call Number Expected Availability
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  • 2
    Publication Date: 2024-04-20
    Description: This dataset collates data of continuously acquired kinematic observations obtained through in-situ Global Navigation Satellite Systems (GNSS) instruments that have been designed and implemented in a large-scale multi field-site monitoring campaign across the whole Swiss Alps. The landforms covered include rock glaciers, high-alpine steep bedrock bedrock as well as landslide sites, most of which are situated in permafrost areas. The dataset was acquired at 54 different stations situated at locations from 2304 to 4003 meter a.s.l and comprises 229'669 daily positions derived through double-differential GNSS post-processing. Apart from these, the dataset contains down-sampled and cleaned time series of weather station and inclinometer data as well as the full set of GNSS observables in RINEX format. Furthermore the dataset is accompanied by tools for processing and data management in order to facilitate reuse, open alternate usage opportunities and support the life-long living data process with updates. All data contained in this data set including updates to newer data can also be retrieved using the toolset available at https://git.uibk.ac.at/informatik/neslab/public/permasense/permasense_datamgr from the online PermaSense data repository at http://data.permasense.ch.
    Keywords: Binary Object; Binary Object (File Size); Cryosphere; File content; GNSS; kinematics; Landslides; mass movements; MULT; Multiple investigations; Natural hazards; Permafrost; Rockfall; Swiss_Alps
    Type: Dataset
    Format: text/tab-separated-values, 22 data points
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  • 3
    Publication Date: 2021-07-21
    Description: Lahars are among the most hazardous mass flow processes on earth and have caused up to 23 000 casualties in single events in the recent past. The Cotopaxi volcano, 60 km southeast of Quito, has a well‐documented history of massively destructive lahars and is a hotspot for future lahars due to (i) its ~10 km2 glacier cap, (ii) its 117–147‐year return period of (Sub)‐Plinian eruptions, and (iii) the densely populated potential inundation zones (300 000 inhabitants). Previous mechanical lahar models often do not (i) capture the steep initial lahar trajectory, (ii) reproduce multiple flow paths including bifurcation and confluence, and (iii) generate appropriate key parameters like flow speed and pressure at the base as a measure of erosion capacity. Here, we back‐calculate the well‐documented 1877 lahar using the RAMMS debris flow model with an implemented entrainment algorithm, covering the entire lahar path from the volcano edifice to an extent of ~70 km from the source. To evaluate the sensitivity and to constrain the model input range, we systematically explore input parameter values, especially the Voellmy–Salm friction coefficients μ and ξ. Objective selection of the most likely parameter combinations enables a realistic and robust lahar hazard representation. Detailed historic records for flow height, flow velocity, peak discharge, travel time and inundation limits match best with a very low Coulomb‐type friction μ (0.0025–0.005) and a high turbulent friction ξ (1000–1400 m/s2). Finally, we apply the calibrated model to future eruption scenarios (Volcanic Explosivity Index = 2–3, 3–4, 〉4) at Cotopaxi and accordingly scaled lahars. For the first time, we anticipate a potential volume growth of 50–400% due to lahar erosivity on steep volcano flanks. Here we develop a generic Voellmy–Salm approach across different scales of high‐magnitude lahars and show how it can be used to anticipate future syneruptive lahars.
    Description: A generic model approach is developed to simulate massive syneruptive lahars at Cotopaxi from initiation on the steep volcano flanks to distal reaches. Evaluation of 14 calibration constraints shows that the Voellmy–Salm model reliably reproduces bulk behaviour of syneruptive lahars. Estimations of lahar erosivity on the volcano flanks anticipate an erosion‐related volume increase for future Cotopaxi lahars between 50 and 400%.
    Description: Bundesministerium für Bildung und Forschung http://dx.doi.org/10.13039/501100002347
    Keywords: 551 ; debris flow erosion ; lahar ; model calibration ; numerical model ; predictive modelling
    Type: article
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