Effects of nocturnal boundary layer subsidence and long-distance transports on PM2.5 vertical profiles in the Yangtze River Delta of China measured by PM sensor on unmanned aerial vehicle and PM Lidar
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引用次数: 0
Abstract
Atmospheric boundary layer structures and long-distance transports significantly affect fine particulate matter (PM2.5) vertical profiles. In this study, the PM2.5 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 PM2.5 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 PM2.5, increasing the ground PM2.5 concentrations. However, when there was an active turbulent motion during the NBL subsidence, the PM2.5 from the surface might be transported upward. The PM2.5 vertical mean concentrations (0-500 m) in the YRD decreased by 58-95% within 3 hours, 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 PM2.5 concentrations were high (>20 μg·m-3) and the weather was clear, the PM Lidar could also observe the diurnal variations of PM2.5 vertical profiles (200-500 m) like the PM sensor on UAV. However, there were differences in the PM2.5 vertical concentrations, and the differences of PM2.5 vertical mean concentrations (200-500 m) measured by the two methods in different seasons were 2.2-13.6 μg·m-3. When the PM2.5 concentrations were lower than 17 μg·m-3, the measurement performance of PM Lidar was significantly lower than those of the PM sensor on UAV.
期刊介绍:
Environmental Pollution is an international peer-reviewed journal that publishes high-quality research papers and review articles covering all aspects of environmental pollution and its impacts on ecosystems and human health.
Subject areas include, but are not limited to:
• Sources and occurrences of pollutants that are clearly defined and measured in environmental compartments, food and food-related items, and human bodies;
• Interlinks between contaminant exposure and biological, ecological, and human health effects, including those of climate change;
• Contaminants of emerging concerns (including but not limited to antibiotic resistant microorganisms or genes, microplastics/nanoplastics, electronic wastes, light, and noise) and/or their biological, ecological, or human health effects;
• Laboratory and field studies on the remediation/mitigation of environmental pollution via new techniques and with clear links to biological, ecological, or human health effects;
• Modeling of pollution processes, patterns, or trends that is of clear environmental and/or human health interest;
• New techniques that measure and examine environmental occurrences, transport, behavior, and effects of pollutants within the environment or the laboratory, provided that they can be clearly used to address problems within regional or global environmental compartments.