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The Characteristics and Contributing Factors of Air Pollution in Nanjing: A Case Study Based on an Unmanned Aerial Vehicle Experiment and Multiple Datasets

机译:南京市大气污染特征及成因:以无人飞行器试验和多数据集为例

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Unmanned aerial vehicle (UAV) experiments, multiple datasets from ground-based stations and satellite remote sensing platforms, and backward trajectory models were combined to investigate the characteristics and influential mechanisms of the air pollution episode that occurred in Nanjing during 3–4 December 2017. Before the experiments, the position of the detector mounted on a UAV that was minimally disturbed by the rotation of the rotors was analyzed based on computational fluid dynamics (CFD) simulations. The combined analysis indicated that the surface meteorological conditions—high relative humidity, low wind speed, and low temperature—were conducive to the accumulation of PM 2.5 . Strongly intense temperature inversion layers and the low thickness of the atmospheric mixed layer could have resulted in elevated PM 2.5 mass concentrations. In the early stage, air pollution was affected by the synoptic circulation of the homogenous pressure field and low wind speeds, and the pollutants mainly originated from emissions from surrounding areas. The aggravated pollution was mainly attributed to the cold front and strong northwesterly winds above 850 hPa, and the pollutants mostly originated from the long-distance transport of emissions with northwesterly winds, mainly from the Beijing?Tianjin?Hebei (BTH) region and its surrounding areas. This long-distance transport predominated during this event. The air pollution level and aerosol optical depth (AOD) were positively correlated with respect to their spatial distributions; they could reflect shifts in areas of serious pollution. Pollution was concentrated in Anhui Province when it was alleviated in Nanjing. Polluted dust, polluted continental and smoke aerosols were primarily observed during this process. In particular, polluted dust aerosols accounted for a major part of the transport stage, and existed between the surface and 4 km. Moreover, the average extinction coefficient at lower altitudes (1 km) was higher for aerosol deposition.
机译:结合无人机实验,地面站和卫星遥感平台的多个数据集以及后向轨迹模型,研究了2017年12月3-4日南京发生的空气污染事件的特征和影响机制。在实验之前,基于计算流体动力学(CFD)模拟分析了安装在无人机上的检测器的位置,该位置受转子旋转的影响最小。组合分析表明,地面气象条件-高相对湿度,低风速和低温-有利于PM 2.5的积累。强烈的温度反转层和大气混合层的低厚度可能会导致PM 2.5质量浓度升高。早期,大气污染受到均匀压力场的天气环流和低风速的影响,污染物主要来自周围地区的排放。加剧的污染主要是由于冷锋和850 hPa以上的强西北风,污染物主要来自西北风的排放物的长距离输送,主要来自北京?天津?河北(BTH)地区及其周围地区。地区。在此事件中,这种长途运输占主导地位。空气污染水平和气溶胶光学深度(AOD)与其空间分布呈正相关。它们可能反映出严重污染地区的变化。南京缓解后,污染集中在安徽省。在此过程中,主要观察到污染的粉尘,污染的大陆气溶胶和烟雾气溶胶。特别是,污染的粉尘气溶胶占运输阶段的主要部分,并存在于地面和4 km之间。此外,在较低海拔(<1 km)下,气溶胶沉积的平均消光系数更高。

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