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  • 1
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Keywords: Natural disasters. ; Geomorphology. ; Sedimentology.
    Description / Table of Contents: Introduction -- Debris-flow Watersheds and Fans: Morphology, Sedimentology and Dynamics -- Fatalities from Debris Flows: Worldwide Distribution and Trends -- Flume Modeling of Debris Flows.-Numerical Modeling of Debris Flows: A Conceptual Assessment -- Sediment Entrainment and Deposition -- Causes and Triggers -- Debris-flow Dating and Magnitude Reconstruction -- Statistical Techniques for Debris-flow Frequency-Magnitude Analyses -- Climate Change Effects on Debris Flows -- Post-wildfire Debris Flows.-Lahars: Origins, Behavior and Hazards -- Regional Debris-flow Hazard Assessments -- Debris-flow Risk Assessment -- Functional Design of Mitigation Measures: From Design Event Definition to Targeted Process Modifications -- Advances in Design of Barriers for Debris-flow Impact -- Check Dam Failures -- Warning Systems and Instrumentation -- Land Use Planning on Debris-flow Fans.
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource(XIX, 636 p. 272 illus., 223 illus. in color.)
    Edition: 1st ed. 2024.
    ISBN: 9783031486913
    Series Statement: Geoenvironmental Disaster Reduction
    Language: English
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2014-11-13
    Description: ABSTRACT The organization of echinoderm Hox clusters is of interest due to the role that Hox genes play in deuterostome development and body plan organization, and the unique gene order of the Hox complex in the sea urchin Strongylocentrotus purpuratus , which has been linked to the unique development of the axial region. Here, we report that the Hox and ParaHox clusters of Acanthaster planci , a corallivorous starfish found in the Pacific and Indian oceans, generally resemble the chordate and hemichordate clusters. The A. planci Hox cluster shares with sea urchins the loss of one of the medial Hox genes, even-skipped ( Evx) at the anterior of the cluster, as well as organization of the posterior Hox genes. © 2014 Wiley Periodicals, Inc.
    Topics: Biology , Medicine
    Published by Wiley-Blackwell
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  • 3
    Publication Date: 2024-04-20
    Description: The data consists of geomorphic fan mapping completed at 29 debris flow fans in southwestern British Columbia, Canada, and uncrewed aerial vehicle (UAV) lidar at three of these fans. This dataset was used to study the spatial record of debris-flow impacts on fans for hazard and risk assessments. The fan mapping geodatabase contains fan boundaries, fan apexes, watershed boundaries, impact areas (any area below the fan apex that has been overrun by a debris flow since the last observation record), and flow paths (the channel or main flow path associated with an impact area). Fan mapping was completed using orthorectified airphotos, satellite imagery, topographic base maps, lidar data, orthophotos, and field observations. UAV lidar was collected at three of the 29 fans in the fall of 2019 for the purposes of geomorphic mapping and change detection analysis. One of the fans is located near Mt. Currie (Currie D) and two are located near Lillooet (Fountain N, Fountain S). Lidar for Currie D was flown on October 1 and 2, 2019, and has an average point density of 6.7 points per square meter, an average point spacing of 0.38 meters, and covers and area of 0.5 square kilometers. Lidar for Fountain N was flown on October 23, 2019, and has an average point density of 8.1 points per square meter, an average point spacing of 0.35 meters, and covers and area of 0.95 square kilometers. Lidar for Fountain S was flown on September 18-19, 2019, and has an average point density of 8.1 points per square meter, an average point spacing of 0.35 meters, and covers and area of 0.44 square kilometers. The lidar is provided as classified point clouds (LAS files), NAD83 / UTM zone 10N.
    Keywords: Alluvial fan; Binary Object; British_Columbia; debris flow; Field mapping; Geomorphology; Lidar; UAV
    Type: Dataset
    Format: text/tab-separated-values, 4 data points
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