Deriving ozone and PM pollution vertical profiles using lightweight, cost-effective sensors and deep learning

IF 8.5 1区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES
D. Nissenbaum, R. Sarafian, E. Windwer, E. Tas, C. C. Womack, S. S. Brown, Y. Rudich
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Abstract

We developed and deployed a drone-based air pollution measurement system composed of cost-effective and lightweight sensors. The system generates high-resolution vertical profiles of various pollutants. During campaigns conducted in 2023, we observed a diurnal cycle of ozone and analyzed extreme particulate matter events, including biomass burning and a rapid dust storm. Our analysis reveals consistent ozone depletion near the surface at night, an advection-related “knee” in the ozone vertical profile at ~100 meters, and significant differences in aerosol size distributions between background, biomass burning, and dust events. An ensemble of autoencoder-based deep learning models with prediction heads identified ground data and a novel combined factor as the most predictive variables for the ozone vertical profiles. These findings demonstrate the value of mobile vertical profiling systems for understanding pollutant distributions and tropospheric dynamics, including the distinction between local and regional ozone influences, with potential applications for air quality monitoring.

Abstract Image

利用轻量级、高性价比的传感器和深度学习技术获取臭氧和PM污染垂直剖面
我们开发并部署了一种基于无人机的空气污染测量系统,该系统由成本效益高且重量轻的传感器组成。该系统生成各种污染物的高分辨率垂直剖面。在2023年开展的活动中,我们观察了臭氧的日循环,并分析了极端颗粒物事件,包括生物质燃烧和快速沙尘暴。我们的分析揭示了夜间地表附近持续的臭氧消耗,在约100米的臭氧垂直剖面中存在与平流相关的“膝盖”,以及背景、生物质燃烧和粉尘事件之间气溶胶大小分布的显著差异。基于自动编码器的深度学习模型集成了预测头,确定了地面数据和一个新的组合因子作为臭氧垂直剖面的最具预测性的变量。这些发现证明了移动垂直剖面系统在了解污染物分布和对流层动力学方面的价值,包括局部和区域臭氧影响之间的区别,以及在空气质量监测方面的潜在应用。
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来源期刊
npj Climate and Atmospheric Science
npj Climate and Atmospheric Science Earth and Planetary Sciences-Atmospheric Science
CiteScore
8.80
自引率
3.30%
发文量
87
审稿时长
21 weeks
期刊介绍: npj Climate and Atmospheric Science is an open-access journal encompassing the relevant physical, chemical, and biological aspects of atmospheric and climate science. The journal places particular emphasis on regional studies that unveil new insights into specific localities, including examinations of local atmospheric composition, such as aerosols. The range of topics covered by the journal includes climate dynamics, climate variability, weather and climate prediction, climate change, ocean dynamics, weather extremes, air pollution, atmospheric chemistry (including aerosols), the hydrological cycle, and atmosphere–ocean and atmosphere–land interactions. The journal welcomes studies employing a diverse array of methods, including numerical and statistical modeling, the development and application of in situ observational techniques, remote sensing, and the development or evaluation of new reanalyses.
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