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6 results for “alluvial fans”

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zenodo40/100

Data for Roles of Granularity and Timescales in Debris Flow Hazards on Alluvial Fans

<p>This dataset includes the digital elevation models (DEM) for the 9 debris flow fan experiments and the slope map data&nbsp;for the 9 debris flow fan experiments and 2 field cases (the Straight Fan and Piute Fan in White Mountain, CA). These data are stored as GeoTIFF files&nbsp;that include information on mesh coordinates.&nbsp;Please read the Data_Information.pdf for the details of the&nbsp;data file contents, duration, sediment contents, flow/discharge/input rates, and mesh size.&nbsp;</p>

opencc-by-4.0Nov 2021View details →
zenodo40/100

Code and data for "Computational morphology of debris and alluvial fans on irregular terrain using the visibility polygon"

<p>This code is for simulating conical fan morphologies.&nbsp;</p> <p>The code and the dataset can be read/run by using Matlab. The description is as follows:</p> <p>1. Dataset (FieldCase1Input.mat, FieldCase2Input.mat) provides the input data needed to simulate the two field cases. The simulations can be run using the code Case4_FieldCase1.m and Case5_FieldCase2.m. The results can be compared with the provided output data (FieldCase1Output.mat, FieldCase2Output.mat).</p> <p>2. Code for three&nbsp;idealized cases, including the comparison of analytical solutions and model simulations are provided.</p> <p>3. Function VisiPolygon is the algorithm for calculating point visibility polygon. Function FanTopo_slope is the model for simulating fan morphology.&nbsp;</p> <p><br> &nbsp;</p>

opencc-by-4.0Aug 2022View details →
zenodo36/100

Supplementary Videos for ``Influence of Fine Particle Content in Debris Flows on Alluvial Fan Morphology"

<p>This dataset includes 8 videos for the 6 debris flow fan experiments:</p> <p>Video V1. Video record (side view) of the experiment process of a continuous (15 minute) flow with 6\% clay mixture.<br> Video V2. Video record (side view) of the experiment process of three successive (5 minute) flow with 6\% clay mixture.<br> Video V3. Video record (side view) of the experiment process of a continuous (15 minute) flow with 4\% clay mixture.<br> Video V4. Video record (side view) of the experiment process of three successive (5 minute) flow with 4\% clay mixture.<br> Video V5. Video record (side view) of the experiment process of a continuous (15 minute) flow with 8\% clay mixture.<br> Video V6. Video record (side view) of the experiment process of three successive (5 minute) flow with 8\% clay mixture.<br> Video V7. Video record (front view) of the experiment process of three successive (5 minute) flow with 4\% clay mixture.<br> Video V8. Video record (front view) of the experiment process of three successive (5 minute) flow with 8\% clay mixture.</p>

opencc-by-4.0Sep 2022View details →
zenodo32/100

Cosmogenic Ages from Alluvial Fans offset by Central Walker Lane Faults

<p>Here are a series of cosmogenic 10Be and 36Cl ages and metadata for samples related to a faulting study southeast of Reno, NV, USA. Both 10Be and 36Cl concentrations were measured at the PRIME lab at Purdue. All 10Be samples were processed in the Geochronology Laboratories at the University of Cincinnati. The 36Cl samples were processed and analyzed at the PRIME lab. Boulder sampling focused on the largest boulders (~50&ndash;150-cm-diameter) from alluvial fan surfaces. Approximately 500 g samples were taken from the upper 2&ndash;5 cm of each of these boulders. 10Be concentrations and laboratory data are listed in these tables. The 10Be boulder exposure ages were calculated using the Cosmic Ray Exposure Program (CREp). The calculator requires input describing the geographic coordinates and elevation of the samples, local shielding of the sample, density of the sample, and estimation of the boulder erosion rates resulting from processes such as boulder grussification and spalling. The age estimates are also dependent on the assumption of particular scaling models designed to estimate the long-term production rate of cosmogenic 10Be. The 10Be ages use a production rate of 4.05 &plusmn; 0.30 at/g SiO2/yr determined at Twin Lakes, which is located at a higher elevation than the fan surfaces here, but is within 100 km of all study sites, the ERA40 atmosphere model, the Lifton-VDM2016 geomagnetic database, and the LSD scaling scheme.The 36Cl boulder ages are calculated using the CRONUS calculator for 36Cl.</p>

opencc-by-4.0Dec 2020View details →
dryad32/100

Global catalog of alluvial fans and other fan-shaped features on Mars, with morphology characteristics

<p>Alluvial fans on Mars record evidence of depositional environments that represent the final era of potential habitability on the Martian surface. Alluvial fan deposits can often look similar to deltaic or fluvial systems in visible remote sensing images but are firmed in depositional and climatic environments that are distinct from those that lead to other radial depositional features. In order to better constrain the regional and global depositional environments and further inform the analysis of the sedimentary history of Mars, this study expands the global catalog of alluvial fans on Mars by adding newly identified features and characterizing all new and previously identified features based on morphologic parameters. Based on how closely they fit the morphologic definition of alluvial fans, as established by terrestrial sedimentology, each feature is classified as either an alluvial fan or another depositional feature.</p> <p>The .csv files made available here contain the full global database of features investigated in the referenced paper (Mondro et al., 2022). Five different .csv files are included, divided according to feature classification category based on the morphological parameters described in Mondro, et al. 2022.  The five classification categories are: alluvial fan, possible alluvial fan, non-alluvial radial feature (NARF), small feature, and non-fan.</p> <p>For each individual depositional feature, the database contains the lat/long location of the fan apex, a reference to the first publication to identify it, the results of the characterization parameters, and the final morphologic classifications. The characterization parameters are planform shape, radius (meters), average radial slope (degrees), adjusted average radial slope (degrees), and radial profile shape. When a parameter is listed as NA, the morphologic categorization for that class of feature did not include that specific parameter.</p> <p>See referenced paper for more detail on methodology and discussion of results:</p> <p><a href="https://www.sciencedirect.com/science/article/pii/S0019103522003311?via%3Dihub" rel="noopener">Mondro, C.A., J.E. Moersch, C.M. Fedo. An updated global survey of alluvial fans on Mars: Distinguishing alluvia fans from other fan-shaped features through morphologic characterization. <em>Icarus</em>, 398C. doi: 10.1016/j.icarus.2022.115238.</a></p> <p>Please reference the above paper when using this dataset.</p>

opencc-zeroOct 2022View details →
dryad32/100

Global catalog of alluvial fans and other fan-shaped features on Mars, with morphology characteristics

Open the record for dataset details and reuse information.

publicOct 2022View details →

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