...
首页> 外文期刊>Aerosol Science and Technology: The Journal of the American Association for Aerosol Research >Long-term sensor measurements of lung deposited surface area of particulate matter emitted from local vehicular and residential wood combustion sources
【24h】

Long-term sensor measurements of lung deposited surface area of particulate matter emitted from local vehicular and residential wood combustion sources

机译:肺沉积表面区域的长期传感器测量从本地车辆和住宅木材燃烧源发出的颗粒物质

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

Lung deposited surface area (LDSA) is a relatively new metric that has been argued to be more accurate at predicting health effects from aerosol exposure. For typical atmospheric aerosol, the LDSA concentration depends mainly on the concentration of ultrafine particles (e.g. vehicular exhaust emissions and residential wood combustion) and therefore optical methods cannot be used to measure and quantify it. The objective of this study was to investigate and describe typical characteristics of LDSA under different urban environments and evaluate how a diffusion charging-based Pegasor AQ Urban sensor (Pegasor Ltd., Finland) can be used as an alternative to optical sensors when assessing local combustion emissions and respective LDSA concentrations. Long-term (12?months) sensor measurements of LDSA were carried out at three distinctly different measurement sites (four sensor nodes) in the Helsinki metropolitan area, Finland. The sites were affected mainly by vehicular exhaust emission (street canyon and urban background stations) and by residential wood combustion (two detached housing area stations). The results showed that the accuracy of the AQ Urban was good (R-2 = 0.90) for the measurement of LDSA when compared to differential mobility particle sizer. The mean concentrations of LDSA were more than twice as high at the street canyon (mean 22 ?m(2) cm(?3)) site when compared to the urban background site (mean 9.4 ?m(2) cm(?3)). In the detached housing area, the mean concentrations were 12 ?m(2) cm(?3), and wood combustion typically caused high LDSA peaks in the evenings. High correlations and similar diurnal cycles were observed for the LDSA and black carbon at street canyon and urban background stations. The utilization of a small-scale sensor network (four nodes) showed that the cross-station variability in hourly LDSA concentrations was significant in every site, even within the same detached housing area (distance between the two sites ?670?m).
机译:肺沉积的表面积(LDSA)是一种相对较新的指标,已被认为更准确地预测气溶胶暴露的健康效果。对于典型的大气气溶胶,LDSA浓度主要取决于超细颗粒的浓度(例如车辆废气排放和居住木燃烧),因此不能使用光学方法来测量和量化它。本研究的目的是在不同城市环境下调查和描述LDSA的典型特征,并评估如何在评估局部燃烧时用作光学传感器的扩散充电的Pegasor AQ城市传感器(Pegasor Ltd.)。排放和各自的LDSA浓度。长期(12?几个月)LDSA的传感器测量在芬兰赫尔辛基大都市区的三个明显不同的测量位置(四个传感器节点)下进行。该地点主要受到车辆废气排放(街道峡谷和城市背景站)和住宅木材燃烧(两个独立式壳体区域)的影响。结果表明,与差动迁移率颗粒发生器相比,AQ城市的准确性良好(R-2 = 0.90),用于测量LDSA。与城市背景网站相比,LDSA的平均浓度在街道峡谷(平均22μm(2)cm(2)cm(2)cm(2)cm(2)cm(2)cm)位点(平均值9.4?m(2)cm(?3) )。在分离的壳体区域中,平均浓度为12?m(2)cm(α3),并且木材燃烧通常在夜晚引起高LDSA峰。在街道峡谷和城市背景站的LDSA和黑碳观察到高相关和类似的昼夜循环。小规模传感器网络(四个节点)的利用表明,甚至在相同的分离的壳体区域(两个位点之间的距离为670Ωm)内,每个部位都在每小时LDSA浓度的交叉站变异性。

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