Influence of the Turbulence Effect on the Rainfall Scavenging Coefficient

IF 1.6 4区 环境科学与生态学 Q4 ENVIRONMENTAL SCIENCES
Xing Gao, Yanqiu Zuo, Hongqiang Wang
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Abstract

Rainfall removal of aerosol particles is an important atmospheric aerosol self-scavenging process. Studying the scavenging mechanism of rainfall on aerosol particles and developing a suitable theoretical model are of great significance for preventing and controlling aerosol pollution and improving the accuracy of air quality forecasting. In this paper, the influence of the turbulence effect on aerosol capture by raindrops is investigated using numerical simulation, and the contribution of the turbulence effect to the capture of aerosol particles by raindrops, Et, is given via the introduction of dimensionless parameters. The scavenging coefficients of the accumulated model particles calculated by simultaneously considering seven mechanisms, namely, Brownian diffusion, interception, inertial impaction, thermophoretic action, diffusiophoretic action, electrostatic action, and the turbulence effect, were found to be 2–10 times higher than those calculated using the currently commonly used Slinn formula (which considers only Brownian diffusion, interception, and inertial impaction). A rainfall scavenging of polydisperse aerosol prediction model was established by taking the actual rainfall events in Guangzhou City, China, as an example and considering seven mechanisms simultaneously, and the characteristics of small particulate matter (PM2.5) changes over time simulated using the model matched well with the actual measurements.

Abstract Image

湍流效应对降雨清除系数的影响
降雨对气溶胶粒子的清除是一个重要的大气气溶胶自清除过程。研究降雨对气溶胶粒子的清除机理,建立合适的理论模型,对防治气溶胶污染、提高空气质量预报精度具有重要意义。本文利用数值模拟研究了湍流效应对雨滴捕获气溶胶的影响,并通过引入无量纲参数给出了湍流效应对雨滴捕获气溶胶粒子的贡献率 Et。结果发现,同时考虑布朗扩散、拦截、惯性撞击、热泳作用、扩散泳作用、静电作用和湍流效应等七种机制计算出的累积模型颗粒的清除系数比目前常用的斯林公式(只考虑布朗扩散、拦截和惯性撞击)计算出的清除系数高 2-10 倍。以中国广州市实际降雨事件为例,同时考虑七种机制,建立了多分散气溶胶降雨清除预测模型,模型模拟的小颗粒物(PM2.5)随时间变化的特征与实际测量结果吻合。
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来源期刊
Aerosol Science and Engineering
Aerosol Science and Engineering Environmental Science-Pollution
CiteScore
3.00
自引率
7.10%
发文量
42
期刊介绍: ASE is an international journal that publishes high-quality papers, communications, and discussion that advance aerosol science and engineering. Acceptable article forms include original research papers, review articles, letters, commentaries, news and views, research highlights, editorials, correspondence, and new-direction columns. ASE emphasizes the application of aerosol technology to both environmental and technical issues, and it provides a platform not only for basic research but also for industrial interests. We encourage scientists and researchers to submit papers that will advance our knowledge of aerosols and highlight new approaches for aerosol studies and new technologies for pollution control. ASE promotes cutting-edge studies of aerosol science and state-of-art instrumentation, but it is not limited to academic topics and instead aims to bridge the gap between basic science and industrial applications.  ASE accepts papers covering a broad range of aerosol-related topics, including aerosol physical and chemical properties, composition, formation, transport and deposition, numerical simulation of air pollution incidents, chemical processes in the atmosphere, aerosol control technologies and industrial applications. In addition, ASE welcomes papers involving new and advanced methods and technologies that focus on aerosol pollution, sampling and analysis, including the invention and development of instrumentation, nanoparticle formation, nano technology, indoor and outdoor air quality monitoring, air pollution control, and air pollution remediation and feasibility assessments.
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