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Optical Remote Sensing to Quantify Fugitive Particulate Mass Emissions from Stationary Short-Teim and Mobile Continuous Sources: Part II. Held Applications

机译:光学遥感来量化固定短时和移动连续源的逃逸性微粒质量排放:第二部分。举行申请

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摘要

Quantification of emissions of fugitive paniculate matter (PM) into the atmosphere from military training operations is of interest by the United States Department of Defense. A new range-resolved optical remote sensing (ORS) method was developed to quantify fugitive PM emissions from puff sources (i.e., artillery back blasts), ground-level mobile sources (i.e., movement of tracked vehicles), and elevated mobile sources (i.e., airborne helicopters) in desert areas that are prone to generating fugitive dust plumes. Real-time, in situ mass concentration profiles for PM mass with particle diameters <10μm (PM_(10) and <2.5 μm (PM_(2.5)) were obtained across the dust plumes that were generated by these activities with this new method. Back blasts caused during artillery firing were characterized as a stationary short-term puff source whose plumes typically dispersed to <10 m above the ground with durations of 10-30 s. Fugitive PM emissions caused by artillery back blasts were related to the zone charge and ranged from 51 to 463 g PM/firing for PM_(10) and 9 to 176 g PM/firing for PM_(2.5) Movement of tracked vehicles and flying helicopters was characterized as mobile continuous sources whose plumes typically dispersed 30-50 m above the ground with durations of 100-200 s. Fugitive PM emissions caused by moving tracked vehicles ranged from 8.3 to 72.5 kg PM/km for PM_(10) and 1.1 to 17.2 kg PM/km for PM_(2.5) and there was no obvious correlation between PM emission and vehicle speed. The emission factor for the helicopter flying at 3 m above the ground ranged from 14.5 to 114.1 kg PM/km for PM_(10) and 5.0 to 39.5 kg PM/km for PM_(2.5), depending on the velocity of the helicopter and type of soil it flies over. Fugitive PM emissions by an airborne helicopter were correlated with helicopter speed for a particular soil type. The results from this range-resolved ORS method were also compared with the data obtained with another path-integrated ORS method and a Flux Tower method.
机译:美国国防部对量化军事训练活动向大气中散发性扬尘物质(PM)的排放很有兴趣。开发了一种新的距离分辨光学遥感(ORS)方法,以量化来自粉扑源(即炮击回弹),地面移动源(即被跟踪车辆的移动)和高架移动源(即(机载直升机)在容易产生逃逸尘埃羽的沙漠地区。通过这种新方法,通过这些活动产生的烟尘柱获得了粒径分别为<10μm(PM_(10)和<2.5μm(PM_(2.5))的PM质量的实时,现场质量浓度分布图。火炮射击过程中引起的爆炸是固定的短期粉扑源,其羽流通常散布到地面上<10 m,持续时间为10到30 s。火炮回爆炸造成的逸散性PM排放与区域装药有关,并在一定范围内PM_(10)从51到463 g PM /发射,PM_(2.5)从9到176 g PM /发射,履带车辆和飞行直升机的移动被表征为移动连续源,其羽流通常散布在地面上方30-50 m持续时间为100-200 s。行驶中的履带车辆造成的逸散性PM排放量,对于PM_(10)为8.3至72.5 kg PM / km,对于PM_(2.5)为1.1至17.2 kg PM / km,两者之间无明显相关性PM排放量和车速排放因子直升机在离地面3 m处飞行时的r取决于PM_(10)的速度和土壤类型,对于PM_(10)为14.5至114.1 kg PM / km,对于PM_(2.5)为5.0至39.5 kg PM / km它飞过。机载直升机的逸散性PM排放与特定土壤类​​型的直升机速度相关。还将此距离解析ORS方法的结果与另一种路径集成ORS方法和Flux Tower方法获得的数据进行了比较。

著录项

  • 来源
    《Environmental Science & Technology》 |2011年第2期|p.666-672|共7页
  • 作者单位

    Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China;

    rnDepartment of Civil and Environmental Engineering, University of Illinois, 205 N. Mathews Ave, Urbana, Illinois 61820, United States;

    rnDepartment of Civil and Environmental Engineering, University of Illinois, 205 N. Mathews Ave, Urbana, Illinois 61820, United States;

    rnDepartment of Civil and Environmental Engineering, University of Illinois, 205 N. Mathews Ave, Urbana, Illinois 61820, United States;

    rnDepartment of Physics, National Institute of Technology Calicut, Calicut 673601, India;

    rnENVIRON, 88 VilCom Circle, Suite 185, Chapel Hill, North Carolina 27514, United States;

    rnU.S. Army Engineer Research and Development Center, Construction Engineering Research Laboratory, 2902 Newmark Dr., Champaign, Illinois 61826-9005, United States;

    rnU.S. Army Engineer Research and Development Center, Construction Engineering Research Laboratory, 2902 Newmark Dr., Champaign, Illinois 61826-9005, United States;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
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  • 正文语种 eng
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  • 入库时间 2022-08-17 14:03:33

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