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Ultra-Light Airborne Measurement System for Investigation of Urban Boundary Layer Dynamics

机译:用于城市边界层动态的超轻型空气测量系统

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摘要

Winter smog episodes are a severe problem in many cities around the world. The following two mechanisms are responsible for influencing the level of pollutant concentrations: emission of pollutants from different sources and associated processes leading to formation of secondary aerosols in the atmosphere and meteorology, including advection, which is stimulated by horizontal wind, and convection, which depends on vertical air mass movements associated with boundary layer stability that are determined by vertical temperature and humidity gradients. The aim of the present study was to evaluate the performance of an unmanned aerial vehicle (UAV)-based measurement system developed for investigation of urban boundary layer dynamics. The evaluation was done by comparing the results of temperature, relative humidity, wind speed and particulate matter fraction with aerodynamic diameter below 10 μm (PM10) concentration vertical profiles obtained using this system with two reference meteorological stations: Jagiellonian University Campus (JUC) and radio transmission tower (RTCN), located in the urban area of Krakow city, Southern Poland. The secondary aim of the study was to optimize data processing algorithms improving the response time of UAV sensor measurements during the ascent and descent parts of the flight mission.
机译:冬季烟雾剧集是世界各地许多城市的严重问题。以下两种机制负责影响污染物浓度水平:从不同来源的污染物的排放和相关过程导致在大气和气象中形成二次气溶胶,包括平流,这是由水平风刺激的,以及取决于依赖的对流在与边界层稳定性相关的垂直空气质量运动上,由垂直温度和湿度梯度确定。本研究的目的是评估为城市边界层动态进行调查开发的无人机车辆(UAV)的测量系统的性能。通过将温度,相对湿度,风速和颗粒物质馏分与空气动力学直径进行比较来完成评价,使用该系统具有两个参考气象站获得的气体动力学直径(PM10)浓度垂直型材:Jagiellonian大学校园(JUC)和收音机传输塔(RTCN),位于波兰南部克拉科夫市市区。该研究的二次目的是优化数据处理算法,提高了在飞行任务的上升和下降部件期间改善了UAV传感器测量的响应时间。

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