首页> 外文期刊>Journal of the air & waste management association >Fugitive participate emission factors for dry fly ash disposal
【24h】

Fugitive participate emission factors for dry fly ash disposal

机译:干粉煤灰处置的逃逸参与排放因子

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

Dry fly ash disposal involves dropping ash from a truck and the movement of a heavy grader or similar vehicle across the ash surface. These operations are known to produce fugitive particulate emissions that are not readily quantifiable using standard emission measurement techniques. However, there are numerous situations-such as applying for a source air permit-that require these emissions be quantified. Engineers traditionally use emission factors (EFs) derived from measurements of related processes to estimate fly ash disposal emissions. This study near a dry fly ash disposal site using state-of-the-art particulate monitoring equipment examines for the first time fugitive emissions specific to fly ash handling at an active disposal site. The study measured hourly airborne mass concentrations for particles smaller than 2.5 μm (PM2.5) and 10 μm (PM_(10)) along with meteorological conditions and atmospheric turbidity at high temporal resolution to characterize and quantify fugitive fly ash emissions. Fugitive fly ash transport and dispersion were computed using the on-site meteorological data and a regulatory air pollutant dispersion model (AERMOD). Model outputs coupled with ambient measurements yielded fugitive fly ash EFs that averaged 96 gMg~(-1) (of ash processed) for the PM_c fraction (=PM_(10) - PM_(2.5)) and 18 g Mg~(-1) for PM2.5. Median EFs were much lower due to the strongly skewed shape of the derived EF distributions. Fugitive EFs from nearby unpaved roads were also characterized. Our primary finding is that EFs for dry fly ash disposal are considerably less than EFs derived using US Environmental Protection Agency AP-42 Emissions Handbook formulations for generic aggregate materials. This appears to be due to a large difference (afactor of 10+) between fugitive vehicular EFs estimated using the AP-42 formulation for vehicles driving on industrial roads (in this case, heavy slow-moving grading equipment) and EFs derived by the current study.
机译:干粉煤灰的处置包括从卡车上洒下灰烬,以及重型平地机或类似车辆在灰烬表面上的移动。已知这些操作会产生使用标准排放测量技术无法轻易量化的逃逸性微粒排放。但是,在许多情况下(例如申请源空气许可证),需要对这些排放进行量化。传统上,工程师使用从相关过程的测量中得出的排放因子(EF)来估算飞灰处置排放。这项在干粉煤灰处置场附近进行的研究使用了最新的颗粒监测设备,首次检查了在活跃处置场处理粉煤灰的逃逸排放。该研究测量了小于2.5μm(PM2.5)和10μm(PM_(10))的颗粒的每小时空气传播质量浓度,以及在高时间分辨率下的气象条件和大气浊度,以表征和量化无用粉煤灰的排放。利用现场气象数据和管制性空气污染物扩散模型(AERMOD)计算了粉煤灰的逸散性。模型输出与环境测量结果相结合,得出了PM_c分数(= PM_(10)-PM_(2.5))和18 g Mg〜(-1)的平均粉煤灰EF,平均为96 gMg〜(-1)(已处理灰分)。对于PM2.5。由于导出的EF分布的形状严重偏斜,因此EF的中位数要低得多。还对附近未铺砌道路的逃逸EF进行了表征。我们的主要发现是,用于干粉煤灰处置的EFs大大少于使用美国环境保护署AP-42排放手册中规定的通用集料的EFs。这似乎是由于使用AP-42公式估算的在工业道路上行驶的车辆(在这种情况下,是重型缓慢移动平整设备)的逃逸车辆EF与当前的EF之间存在较大差异(10倍以上)研究。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号