Statistical Database Generation and Geotechnical Mine Burial Prediction Maps for Coastal Shallow-Water Fine-Grained Sediments

Abstract

One research goal is the correlation of shallow-water coastal sediment properties and environments of deposition with the engineering/geotechnical properties. Sedimentary coastal environments must be statistically characterized in terms of a suite of key sediment properties. Another long-term goal is to develop reliable empirical equations/techniques to predicting mine burial using the sediment properties such as natural water contents and sediment (soil) state defined by the Atterberg limits (Bennett et al., 1999a, 2000a and b, and 2004). In addition, SEAPROBE is providing essential input data required for the Mine Burial Expert System Model (MBESM) presently being developed by the Johns Hopkins University, Applied Physics Laboratory (Brandt et al., 2004). The overall long-term goal is to establish a comprehensive geotechnical and sedimentological data base of coastal muds that will provide statistically significant data for predicting mine burial for a variety of depositional environments and sediment types. The geotechnical, soil physics, and sediment properties statistical approach is essential to quantitatively evaluate and ultimately map mine burial and predicted depths of burial in shallow-water coastal environments. This basic and applied research provides a strong basis for developing statistically significant sedimentary analogues for predicting mine burial in remote areas of the world.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2004
Accession Number
ADA612983

Entities

People

  • Conrad W. Curry
  • Richard H. Bennett
  • Richard W. Faas

Tags

DTIC Thesaurus Topics

  • Chesapeake Bay
  • Data Analysis
  • Databases
  • Expert Systems
  • Fluids
  • Grain Size
  • Information Science
  • Liquids
  • Mechanical Properties
  • Physical Properties
  • Seabed
  • Sediments
  • Shallow Water
  • Shear Strength
  • Spreadsheet Software
  • Statistical Analysis
  • Water

Fields of Study

  • Environmental science

Readers

  • Coastal Oceanography
  • Computational Modeling and Simulation