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Parameterization of below-cloud scavenging for polydisperse fine mode aerosols as a function of rain intensity

Journal of Environmental Sciences 2023年第10期132卷 43-55页

作者： Chang Hoon Jung Hyung-Min Lee Dasom Park Young Jun Yoon Yongjoo Choi junshik um Seoung Soo Lee Ji Yi Lee Yong Pyo Kim Department of Health Management Kyungin Women’s UniversityIncheon 21041Korea Department of Environmental Science and Engineering Ewha Woman’s UniversitySeoulKorea Department of Environmental Engineering Konkuk UniversitySeoulKorea Korea Polar Research Institute IncheonKorea Department of Environment Hankuk University of Foreign StudiesYonginKorea Department of Atmospheric Sciences Pusan National UniversityBusanKorea Earth System Science Interdisciplinary Center University of MarylandCollege ParkMDUSA Research Center for Climate Sciences Pusan National UniversityBusanKorea Department of Chemical Engineering and Materials Science Ewha Womans UniversitySeoulKorea

The below-cloud aerosol scavenging process by precipitation is one of the most important mechanisms to remove aerosols from the *** to its complexity and dependence on both aerosol and raindrop sizes,wet scavenging process has been poorly treated,especially during the removal of fine *** makes the numerical simulation of below-cloud scavenging in large-scale aerosolmodels *** consider the slip effects of submicron particles,a simplified expression for the diffusion scavenging was developed by approximating the Cunningham slip correction *** derived analytic solution was parameterized as a simple power function of rain intensity under the assumption of the lognormal size distribution of *** resultant approximated expression was compared to the observed data and the results of previous studies including a 3D atmospheric chemical transport model *** with the default GEOS-Chem coefficient of 0.00106R0.61 and the observation-based coefficient of 0.0144R0.9268,the coefficient of a and b in∧m=aRb spread in the range of 0.0002-0.1959 for a and 0.3261-0.525 for b over a size distribution of GSD of 1.3–2.5 and a geometric mean diameter of 0.01-2.5μ***,this study showed that the scavenging coefficient varies widely by orders of magnitude according to the size distribution of particles and rain *** study also demonstrated that the obtained simplified expression could consider the theoretical approach of aerosol *** proposed analytic approach showed that results can be effectively applied for reduced computational burden in atmospheric modeling.

关键词： Below-cloud scavenging Polydisperse aerosol Parameterization Cunningham correction factor Scavenging coefficient

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