A Review of Developments in Agricultural Science Applicable to Military Soil Moisture Prediction Requirements.

Abstract

A number of investigators have made a concerted effort during the last 20 years in agricultural science in soil moisture modeling and prediction. A parallel effort by soil physicists over the last three decades has improved their capability to estimate input data values for more complex soil moisture prediction models, which is particularly significant in worldwide applications and in applications involving inaccessible areas. Advances are also being made in treating problems caused by spatial variability of soil properties. This report provides a comprehensive literature survey and review of mathematical models for predicting soil moisture that were developed in agricultural science and soil physics and that are potentially adaptable to military modeling of ground vehicle mobility and hydrology. Further, the report presents recommendations (a) for comparing the accuracy of soil moisture predictions made by the current military model and by agricultural science and soil physics models for soil and moisture conditions important to the military, and (b) for developing the soil moisture prediction model(s) most useful for the military based on results of this comparison and on an evaluation of characteristics of all prediction models included in the comparison.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1985
Accession Number
ADA157670

Entities

People

  • L. F. Hall

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Accuracy
  • Civil Engineering
  • Computational Fluid Dynamics
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Differential Equations
  • Engineers
  • Finite Element Analysis
  • Groundwater
  • Literature Surveys
  • Mathematical Models
  • Measurement
  • Military Operations
  • Moisture Content
  • Soil Science
  • Water Resources

Fields of Study

  • Agricultural and Food sciences

Readers

  • Computational Modeling and Simulation
  • Military Science and Technology Research and Modernization.
  • Wetland-Land-Environmental Management.