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Measurement of Dust Emissions Generated by Military Vehicles Using Optical Remote Sensing Method at Fort Carson, Colorado

机译:使用光学遥感方法在科尔多罗堡使用光学遥感方法测量军用车辆产生的灰尘排放

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Dusts generated by mobile military vehicles may cause adverse health effects to humans and degrade visibility during military trainings and operations. Therefore, it is important to quantify particulate matter (PM) emissions caused by select military vehicles. In this study, an optical remote sensing (ORS) method was used to determine the PM emissions by three tracked vehicles (M88A2, M270, and M113) and one wheeled vehicle (HEMTT) while moving at constant speeds ranged from 5 MPH to their maximum. Field measurements took place in Fort Carson, CO during September 16-19, 2008. In this ORS method, a vertical scanning Micropulse Lidar (MPL) was used to construct 2-D light extinction profiles across the dust plumes generated by the mobile vehicles at four different angles. To determine PM particle size distributions, pathaveraged extinction values using select wavelengths of light were measured by Open Path - Fourier Transform Infrared Spectrometry (OP-FTIR) and Open Path - Laser Transmissometry (OP-LT). Future analysis will convert the time-dependent 2-D extinction profiles into 2-D PM mass concentration profiles, using measurement data from MPL, OP-FTIR, and OP-LT and assuming dust density and refractive index values. The PM mass emissions will then be calculated by integrating the time-dependent 2-D mass concentration profiles with concurrent wind vector data. This paper presents the results and interpretations of the time-dependent 2-D light extinction profiles for each vehicle type and speed.
机译:移动军车产生的灰尘可能对人类产生不利的健康影响,并降低军事培训和运营期间的可见性。因此,重要的是量化由选择军用车辆引起的颗粒物质(PM)排放。在该研究中,使用光学遥感(ORS)方法来确定三个跟踪车辆(M88A2,M270和M113)和一个轮式车辆(HEMTT)的PM发射,同时以恒定速度移动到最大值5英里/小时。在2008年9月16日至19日,CO堡的野外测量。在该方法中,使用垂直扫描微孔激光雷达(MPL)来构造在移动车辆产生的灰尘羽毛上构建2-D光消射型材四个不同的角度。为了确定PM粒度分布,通过开放路径 - 傅里叶变换红外光谱(OP-FTIR)和开放路径激光透射率(OP-LT)测量使用选择波长的光的突出的光消耗值。未来分析将使用来自MPL,OP-FTIR和OP-LT的测量数据并假设灰尘密度和折射率值,将时间依赖于PM质量浓度分布转换为2-D PM质量浓度分布。然后通过将时间依赖性的2-D质量浓度分布与并发风矢量数据集成来计算PM质量排放。本文介绍了对每辆车类型和速度的时间依赖性的2-D光消光轮廓的结果和解释。

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