Abstract. Within the TURBAN project, a "Legerova campaign" focusing on air quality and meteorology in the traffic-loaded part of the Prague city (Czech Republic) was carried out from 30 May 2022 to 28 March 2023. The network comprised of 20 combined low-cost sensor (LCS) stations for NO₂, O₃, PM₁₀ and PM_2.5 concentrations, along with a mobile meteorological mast, a single-channel microwave radiometer and Doppler LIDAR for measurement of vertical temperature and wind profiles. Significant individual deviations of LCSs were detected during the 165 day initial field test of all units at the urban background Prague 4-Libuš reference station (coefficient of variation 17–28 %). Implementing the Multivariate Adaptive Regression Splines method for correction reduced the LCS inter-individual variability and improved correlation with reference monitors in all pollutants (R² 0.88–0.97). The LCSs' data drifts and ageing were checked by the double mass curve method for the entire measurement period. During the Legerova campaign, the highest NO₂ concentrations were in traffic-loaded street canyons with continuous building blocks and several traffic lights. Aerosol pollution showed very little variation between the monitored streets. The highest PM₁₀ and PM_2.5 concentrations were recorded during temperature inversions and an episode involving pollution transported from a large forest fire in northern Czech Republic in July 2022. This report provides valuable data to support the validation of various predictive models dealing with complex urban environment, such as microscale LES model PALM tested in the TURBAN project.

中文翻译：

---

测量报告：布拉格街头低成本空气质量传感器和气象剖面测量相结合的 TURBAN 观测活动


摘要。在 TURBAN 项目中，于 2022 年 5 月 30 日至 2023 年 3 月 28 日期间开展了一项“Legerova 活动”，重点关注布拉格市（捷克共和国）交通繁忙地区的空气质量和气象。该网络由 20 个组合的低NO ₂ 、 O ₃ 、 PM ₁₀ 和 PM _2.5 浓度的成本传感器 (LCS) 站，以及移动气象桅杆，单通道微波辐射计和多普勒激光雷达，用于测量垂直温度和风廓线。在城市背景布拉格 4-Libuš 参考站对所有装置进行 165 天的初始现场测试期间，发现了 LCS 的显着个体偏差（变异系数 17-28%）。实施多元自适应回归样条方法进行校正，减少了 LCS 个体间的变异性，并改善了所有污染物与参考监测仪的相关性 (R ² 0.88–0.97)。在整个测量期间，通过双质量曲线法检查LCS的数据漂移和老化。在 Legerova 活动期间，NO ₂ 浓度最高的是交通繁忙的街道峡谷，那里有连续的建筑街区和多个交通灯。所监测街道之间的气溶胶污染变化很小。 PM ₁₀ 和 PM _2.5 浓度最高记录在温度倒转期间以及 2022 年 7 月捷克共和国北部一场大型森林火灾带来的污染事件中。该报告为以下方面提供了宝贵的数据：支持处理复杂城市环境的各种预测模型的验证，例如在TURBAN项目中测试的微尺度LES模型PALM。