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United States Department of Agriculture

Agricultural Research Service

Title: Evaluation of Wind Erosion Models for Use on Military Training Lands

Authors
item Skidmore, Edward
item Nelson, Richard - KANSAS STATE UNIVERSITY
item Anderson, Alan - UNITED STATES ARMY

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: February 21, 2000
Publication Date: February 21, 2000
Citation: International Erosion Control Association; 2000. Feb 21-25, 2000; Palm Springs, CA.

Technical Abstract: The ability of lands to accommodate and continually support active military training and testing without serious degradation has been identified as high priority by the Department of Defense. Consequently, the Department of Defense is currently developing the Army Training and Testing Area Carrying Capacity (ATTACC) methodology. However, this methodology has not been applied to those locations at which wind erosion is the predominant erosion mechanism and in certain instances, failure to account for erosion caused by wind under-estimated land deterioration and over predicted carrying capacity. The objective of this study was (1) to evaluate various wind erosion models according to criteria specified by ATTACC and, (2) to identify modifications to the most appropriate model(s) for use on those military training exercise lands for which wind erosion is the dominant erosion mechanism. Wind erosion models being evaluated in this study include the Wind Erosion Prediction System (WEPS), Environmental Policy Integrated Climate (EPIC), Wind Erosion Assessment Model (WEAM), and Texas Erosion Assessment Methodology (TEAM). Each model is being evaluated according to criteria suggested by ATTACC which includes the science behind the model, temporal and spatial domain of the model, erosion processes modeled, model accuracy with respect to "real-world" situations, input data requirements (availability and cost), domain of use, potential for further enhancement and long-term support. A sensitivity analysis comparing the selected models is in progress and will be reported at the Conference and submitted for inclusion in the Conference proceedings.

Last Modified: 12/18/2014
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