Aerosol Physics, Faculty of Natural Sciences, Tampere University of Technology, Tampere, Finland.
Aerosol Physics, Faculty of Natural Sciences, Tampere University of Technology, Tampere, Finland.
Environ Pollut. 2018 Oct;241:96-105. doi: 10.1016/j.envpol.2018.04.100. Epub 2018 May 23.
The vertical profiles of lung deposited surface area (LDSA) concentration were measured in an urban street canyon in Helsinki, Finland, by using an unmanned aerial system (UAS) as a moving measurement platform. The street canyon can be classified as an avenue canyon with an aspect ratio of 0.45 and the UAS was a multirotor drone especially modified for emission measurements. In the experiments of this study, the drone was equipped with a small diffusion charge sensor capable of measuring the alveolar LDSA concentration of particles. The drone measurements were conducted during two days on the same spatial location at the kerbside of the street canyon by flying vertically from the ground level up to an altitude of 50 m clearly above the rooftop level (19 m) of the nearest buildings. The drone data were supported by simultaneous measurements and by a two-week period of measurements at nearby locations with various instruments. The results showed that the averaged LDSA concentrations decreased approximately from 60 μm/cm measured close to the ground level to 36-40 μm/cm measured close to the rooftop level of the street canyon, and further to 16-26 μm/cm measured at 50 m. The high-resolution measurement data enabled an accurate analysis of the functional form of vertical profiles both in the street canyon and above the rooftop level. In both of these regions, exponential fits were used and the parameters obtained from the fits were thoroughly compared to the values found in literature. The results of this study indicated that the role of turbulent mixing caused by traffic was emphasized compared to the street canyon vortex as a driving force of the dispersion. In addition, the vertical profiles above the rooftop level showed a similar exponential decay compared to the profiles measured inside the street canyon.
在芬兰赫尔辛基的一个城市街道峡谷中,使用无人飞行器系统 (UAS) 作为移动测量平台,测量了肺沉积表面积 (LDSA) 浓度的垂直分布。该街道峡谷可归类为具有 0.45 纵横比的大道峡谷,UAS 是一种专门为排放测量而改装的多旋翼无人机。在本研究的实验中,无人机配备了一个小型扩散电荷传感器,能够测量粒子的肺泡 LDSA 浓度。在这项研究中,无人机在街道峡谷路缘石的同一空间位置上进行了两天的测量,从地面垂直飞行至 50m 的高度,明显高于最近建筑物的屋顶(19m)。无人机数据由同时进行的测量以及在附近位置使用各种仪器进行的为期两周的测量提供支持。结果表明,平均 LDSA 浓度从靠近地面测量的 60μm/cm 左右下降到靠近街道峡谷屋顶水平测量的 36-40μm/cm,再到 50m 测量的 16-26μm/cm。高分辨率测量数据能够准确分析街道峡谷和屋顶水平以上的垂直分布的函数形式。在这两个区域中,都使用了指数拟合,并且从拟合中获得的参数与文献中找到的值进行了彻底的比较。这项研究的结果表明,与作为扩散驱动力的街道峡谷涡旋相比,交通引起的湍流混合的作用被强调了。此外,屋顶水平以上的垂直分布与街道峡谷内测量的分布表现出相似的指数衰减。