Chen Lang, Xu Haonan, Huang Riyang, Pang Xiaobing, Wang Baozhen, Wu Zhentao, Yu Shaocai
Collaborative Innovation Center for Statistical Data Engineering, Technology and Application, School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou, 310018, China; Zhejiang Province Key Laboratory of Solid Waste Treatment and Recycling, School of Environmental Sciences and Engineering, Zhejiang Gongshang University, Hangzhou, 310018, China.
College of Environment, Zhejiang University of Technology, Hangzhou, 310000, China; Shaoxing Research Institute, Zhejiang University of Technology, Shaoxing, 312077, China.
Environ Pollut. 2025 Apr 15;371:125935. doi: 10.1016/j.envpol.2025.125935. Epub 2025 Feb 26.
Atmospheric boundary layer structures and long-distance transports significantly affect fine particulate matter (PM) vertical profiles. In this study, the PM vertical profiles in the Yangtze River Delta (YRD) of China were measured by PM sensor on unmanned aerial vehicle (UAV) and PM Lidar in 2022 (April, June, October) and 2023 (February). The results showed that the PM vertical profiles appeared obvious stratification on the top of nocturnal boundary layer (NBL). The NBL subsidence stabilized the boundary layer structure and inhibited the vertical diffusion of PM, increasing the ground PM concentrations. However, when there was an active turbulent motion during the NBL subsidence, the PM from the surface might be transported upward. The PM vertical mean concentrations (0-500 m) in the YRD decreased by 58-95% within 3 h, which might be caused by the rapid shift of long-distance transport sources from the North China Plain to the Yellow Sea with higher wind speeds according to backward trajectory. When the ambient PM concentrations were high (>20 μg m) and the weather was clear, the PM Lidar could also observe the diurnal variations of PM vertical profiles (200-500 m) like the PM sensor on UAV. However, there were differences in the PM vertical concentrations, and the differences of PM vertical mean concentrations (200-500 m) measured by the two methods in different seasons were 2.2-13.6 μg m. When the PM concentrations were lower than 17 μg m, the measurement performance of PM Lidar was significantly lower than those of the PM sensor on UAV.
大气边界层结构和长距离传输显著影响细颗粒物(PM)的垂直分布。本研究于2022年(4月、6月、10月)和2023年(2月),利用无人机(UAV)上的PM传感器和PM激光雷达对中国长江三角洲(YRD)地区的PM垂直分布进行了测量。结果表明,在夜间边界层(NBL)顶部,PM垂直分布出现明显分层。NBL下沉使边界层结构稳定,抑制了PM的垂直扩散,增加了地面PM浓度。然而,当NBL下沉过程中存在活跃的湍流运动时,地表的PM可能会向上传输。根据后向轨迹,长江三角洲地区的PM垂直平均浓度(0 - 500米)在3小时内下降了58 - 95%,这可能是由于远距离传输源随着较高风速从华北平原迅速转移到黄海所致。当环境PM浓度较高(>20微克/立方米)且天气晴朗时,PM激光雷达也能像无人机上的PM传感器一样观测到PM垂直分布(200 - 500米)的日变化。然而,PM垂直浓度存在差异,两种方法在不同季节测量的PM垂直平均浓度(200 - 500米)差异为2.2 - 13.6微克/立方米。当PM浓度低于17微克/立方米时,PM激光雷达的测量性能明显低于无人机上的PM传感器。