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Vehicle Impact Analysis Using Vehicle Tracking Systems on Military Lands

机译：车辆冲击分析在军用土地上使用车辆跟踪系统

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Although the impacts of military vehicles on the landscape have been studied extensively, research has not looked at full-scale multi-vehicle events to estimate land disturbance. Currently, the military extensively uses live and simulated training toprepare troops for combat, and these systems can provide data for accurate determination of the land disturbance patterns resulting from training activities. This article examines a full-scale multi-vehicle event and determines the total moving-vehicle disturbance (event-based impact). It provides a methodology for using in-field simulation and training systems to generate information on vehicle mobility impacts. This article illustrates how such information can be used to determine changes in the Universal Soil Loss Equation (USLE) C factor for areas of disturbed land. For land managers, the major benefit of this approach is rapid identification of locations that are intensely used and therefore subject to land degradation. Additionally, this approachprovides a means to readily quantify those impacts as related to vegetation removal and erosion potential. To illustrate this approach, 84 military vehicles were monitored at Orchard Training Area, Idaho, in August 2008, and 592,132 data points were collected to measure distance traveled, average velocity, and turning radius at 1 s intervals. The data were then processed and mapped to ascertain the impacts on vegetation and potential changes in the C factor. Results indicated that vehicles spent 15.9%of the time and 5.9% of the distance traveled off-road. The vegetation removal rate ranged from 0% to 48% , and the cumulative area of vegetation removed was 156,424.9 m~2. Future work in this area shouldfocus on developing vehicle impact models for forecasting land disturbance regimes.
机译：虽然军用车辆对景观的影响已经过度研究，但研究没有看出全面的多车辆活动来估算土地干扰。目前，军方广泛使用实时和模拟培训Toprepare部队进行战斗，这些系统可以提供准确确定培训活动导致的土地扰动模式的数据。本文介绍了全规模的多车辆事件，并确定总移动车辆干扰（基于事件的影响）。它提供了一种用于使用现场模拟和训练系统来生成关于车辆移动性影响的信息的方法。本文说明了这些信息如何用于确定受干扰地区的通用土壤丢失方程（USLE）C因子的变化。对于土地管理人员来说，这种方法的主要好处是快速识别，这些地点被密闭地使用，因此受到土地退化。另外，这种方法提供了一种容易量化与植被移除和侵蚀潜力的影响的手段。为了说明这种方法，在果园训练区监测了84名军用车，在2008年8月，收集了592,132个数据点以测量行驶，平均速度，单间隔的距离。然后处理数据并映射以确定对植被的影响和C因子的潜在变化。结果表明，车辆的时间为15.9％，距离越野的5.9％。植被去除率范围为0％至48％，除去植被的累积面积为156,424.9 m〜2。未来在该地区的工作应在开发出预测土地扰动制度的车辆影响模型上。

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