School of Environmental Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur, India.
School of Environmental Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur, India; Department of Mining Engineering, Indian Institute of Technology Kharagpur, Kharagpur, India.
Sci Total Environ. 2022 Aug 25;836:155600. doi: 10.1016/j.scitotenv.2022.155600. Epub 2022 Apr 30.
Measurement of traffic emissions has gained a lot of interest in recent times due to its contribution to urban pollution. This paper reports the outcome from an unmanned aerial vehicle (UAV) based measurement of PM concentration near an urban roadway at Kolkata, India. A total of 54 flights were carried out for simultaneous measurements of PM, PM and PM mass concentration and meteorological parameters in vertical as well as in horizontal direction. Results for the vertical flight up to 100 m showed that the PM, PM and PM concentrations at higher altitudes are less (mean; 24.6, 39.9 and 103.8 μg m) compared to the respective ground level concentrations (mean; 26.3, 50.4 and 201.9 μg m). For all the three particle sizes, the majority of the cases of higher PM concentration at higher altitudes happened during the evening flight. Low mixing height and low wind speed are suggested to be the reasons for the poor dispersion of pollutants in the evening. While there was a 7-10% fall of fine particles (PM and PM) mass concentrations up to 90 m away from the road, no trend could be seen for PM. The random forest model to predict the UAV/Ground concentration ratio showed high accuracy (R = 0.82-0.95) for all three particle sizes. This is an important finding from this study, which shows how UAV measurement data can be used to generate models that can predict the higher altitude concentrations from the ground based measurements.
由于交通排放对城市污染的贡献,近年来其测量得到了广泛关注。本文报道了在印度加尔各答市一条城市道路附近使用无人机(UAV)进行 PM 浓度测量的结果。总共进行了 54 次飞行,以同时测量垂直和水平方向的 PM、PM 和 PM 质量浓度以及气象参数。高达 100 米的垂直飞行结果表明,较高海拔处的 PM、PM 和 PM 浓度较低(平均值分别为 24.6、39.9 和 103.8μg/m),而相应的地面浓度较高(平均值分别为 26.3、50.4 和 201.9μg/m)。对于所有三种粒径,在较高海拔处出现较高 PM 浓度的大多数情况下发生在傍晚飞行期间。低混合层高度和低风速被认为是污染物在傍晚不易扩散的原因。虽然距离道路 90 米范围内细颗粒物(PM 和 PM)质量浓度下降了 7-10%,但 PM 没有呈现出这种趋势。随机森林模型预测 UAV/地面浓度比对于所有三种粒径均具有较高的准确性(R = 0.82-0.95)。这是本研究的一个重要发现,表明如何使用无人机测量数据生成模型,可以从地面测量预测更高海拔处的浓度。