Identifying Military Impacts on Archaeological Deposits Based on Differences in Soil Organic Carbon and Chemical Elements at Soil Horizon Interfaces

Abstract

Military training is often assumed to negatively impact archaeological resources, but methodologies to estimate or infer damage to these resources are expensive and time consuming. Cultural resources managers require a technique allowing them to estimate past and current impacts of training on archaeological site condition and determine if the site is capable of supporting future training activities. The technical objectives of this research were (1) to demonstrate that naturally occurring and culturally induced stratigraphic differences in a suite of soil parameters, such as soil organic carbon and chemical elements, at the interface of near-surface soil horizons can be disrupted to varying degrees by military training and other (e.g., agricultural) human actions and (2) to use this predictable stratification as the basis for an innovative, low-cost, widely applicable, reliable method to identify the onset and quantify the extent of adverse impacts to archaeological deposits that are associated with military training.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2012
Accession Number
ADA559158

Entities

People

  • Dick L. Gebhart
  • H. A. Torbert
  • Michael Hargrave

Organizations

  • Engineer Research and Development Center

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Agriculture
  • Chemical Analysis
  • Chemical Elements
  • Chemistry
  • Climate Change
  • Cultural Resources
  • Environment
  • Environmental Protection
  • Geography
  • Management Personnel
  • Military Training
  • New York
  • Organic Materials
  • Soil Science
  • Soil Tests
  • Training
  • United States

Fields of Study

  • Environmental science

Readers

  • Economics
  • Geotechnical Engineering.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy