Development of Tools for Remote Detection and Prediction of Low-Strength Muds in Energetic Coastal Environments

Abstract

The goals of this research are to understand size-sorting during erosion and deposition and to use this understanding to develop predictive models of where and when low-strength muds will accumulate in energetic coastal environments. Objectives: 1. To use our process-based parameterization of surficial seabed disaggregated inorganic grain size (DIGS) distributions to infer the extent of flocculation during deposition on energetic tidal flats. 2. To use time series of in situ suspended sediment properties, waves, and currents. to improve understanding of how turbulence, sediment concentration, and cohesion affect the size-dependent depositional flux of sediment to the seabed on energetic tidal flats. 3. To improve understanding of how sediment texture, cohesion, and sorting in the seabed affect the size-dependent erosional flux from the seabed on energetic tidal flats.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2008
Accession Number
ADA514819

Entities

People

  • Paul S. Hill
  • Timothy G. Milligan

Organizations

  • Bedford Institute of Oceanography

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Biological Phenomena
  • Canada
  • Cohesion
  • Detection
  • Environment
  • Grain Size
  • Nova Scotia
  • Particle Size
  • Particles
  • Physical Properties
  • Predictive Modeling
  • Remote Sensing
  • Sedimentation
  • Sediments
  • Suspended Sediments
  • Turbulence
  • Water

Fields of Study

  • Environmental science

Readers

  • Aerosol Science/Aerosol Physics
  • Coastal and Marine Engineering/Sediment Transport/Hydraulic Engineering
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers

Technology Areas

  • AI & ML