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49 results for “Debris flow”
Characteristics of the impact pressure of debris flows
<p>The measured impact pressure signal, dynamic fluid pressure at the flume exit, basal total normal stress and pore pressure at <em>x</em> = 3.2 m</p>
Model codes and data for ``A control volume finite element model for predicting the morphology of cohesive-frictional debris flow deposits"
<p>The code and the dataset can be read/run by using Matlab. The description is as follows:</p> <p>1. Dataset (field_data) includes transect data of three field debris flow deposits from Coussot et al. (1996). The data can be read and calibrated with the analytical solution by the code field_calibration.m.</p> <p>2. Dataset (data_T01-T04, T11-T15_DT) includes experimental fan topography data, calibrated parameters, and simulation outputs. </p> <p>3. Two calibration codes are used for the model parameter calibrations of the two sets of experiments.</p> <p>4. Function aggradation_DT.m is the CVFEM model for simulating fan morphology. Use CVFEM_exp_simulation.m code to run simulations for the experiments.</p>
Post-fire Debris Flows: Leveraging Science for Environmental Management and Community Resiliency
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Dataset for the paper 'Debris-flow return times and pre-event terrains: a novel framework using copula functions and quantile-based approaches'
<p>here attached you can find the dataset we used for our paper. While in the first two columns, you have X, and Y coordinates of the domain's pixels, the other five columns are DEMs' elevations (2006, 2010, 2011, 2015, and 2021). See in the paper's 'Methodology' Section how to employ these data. For any questions, please reach us at massimiliano.schiavo@unipd.it. Thanks!</p>
Debris flow hazard prediction and result explanation based on deep learning
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Dataset for "Characterization of stream, hyperconcentrated and debris flows from seismic signal: Insights into sediment transport mechanisms and flow dynamics"
<p>Yang et al. (2023) Dataset for "Characterization of stream, hyperconcentrated and debris flows from seismic signal: Insights into sediment transport mechanisms and flow dynamics", Journal of Geophysical Research-Earth Surface</p>
Data for the manuscript "Classification of Stream, Hyperconcentrated, and Debris Flow Using Dimensional Analysis and Machine Learning"
<p>The excel file contains hydrological and sediment data. Also included are dimensional analysis data in our dataset.<br> The rar file contains the codes and data for SVM classification work.</p>
Dataset for "Classification of Stream, Hyperconcentrated, and Debris Flow Using Dimensional Analysis and Machine Learning"
<p>Du J. et al., (2022). Dataset for "Classification of Stream, Hyperconcentrated, and Debris Flow Using Dimensional Analysis and Machine Learning", Water Resources Research</p> <p>Table S1: Hydrologic Paramteres and Dimensionless Numbers of Debris Flows</p> <p>Table S2: Hydrologic Paramteres and Dimensionless Numbers of Hyperconcentrated Flows</p> <p>Table S3: Hydrologic Paramteres and Dimensionless Numbers of Stream Flows</p> <p>Table S4: Hydrologic Paramteres and Dimensionless Numbers of Lahars</p>
A Hydrodynamic-Based Physical Unified Modelling Framework for Simulating Shallow Landslide Local Failures, Mass Release and Debris Flow Run-out Extent Behaviour
<p>Simulation results for manuscript "A Hydrodynamic-Based Physical Unified Modelling Framework for Simulating Shallow Landslide Local Failures, Mass Release and Debris Flow Run-out Extent Behaviour", submitted to Water Resources Research.</p>
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