A moment model for simulating raindrop scavenging of aerosols |
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| Affiliation: | 1. School of Industrial and Environmental Engineering, Kyungin Women''s College, 548-4 Kyesan-dong, Kyeyang-gu, Inchon 407-740, South Korea;2. Department of Environmental Science and Engineering, Ewha Womans University, 11-1 Daehyun-dong, Seodaemun-gu, Seoul 120-750, South Korea;3. Department of Environmental Science and Engineering, Kwangju Institute of Science and Technology, 1 Oryong-dong, Puk-gu, Kwangju 500-712, South Korea;1. CIEMAT, Unit of Nuclear Safety Research, Av. Complutense, 40, 28040 Madrid, Spain;2. Universidad Politécnica de Madrid (UPM), Energy Engineering Department, José Gutierrez Abascal, 2, 28006 Madrid, Spain;3. Nuclear Safety Technology and Regulation Division, OECD Nuclear Energy Agency (NEA), 46 quai Alphonse Le Gallo, 92100 Boulogne-Billancourt, France;4. Gesellschaft für Anlagen-und Reaktorsicherheit (GRS), gGmbH, Cologne, Germany;1. Department of Physics, Sri Venkateswara University, Tirupati 517502, India;2. National Atmospheric Research Laboratory, Gadanki 517502, India;1. Department of Civil Engineering, IIT Madras, Chennai, India;2. Radiological Safety Division, Indira Gandhi Centre for Atomic Research, Kalpakkam, India;1. College of Petroleum Engineering, China University of Petroleum, Qingdao 266580, China;2. Down Hole Company, Chuanqing Drilling Company, CNPC, Chengdu 610051, China |
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| Abstract: | The dynamics of a polydispersed aerosol size distribution, scavenged by precipitation, are numerically studied. The collision efficiency formula proposed by Slinn (Precipitation Scavenging in Atmospheric Sciences and Power Production—1979, Division of Biomedical Environmental Research, US Department of Energy, Washington, DC, USA, 1983, Chapter 11) and the moment method were introduced to represent the particle removal mechanism by raindrops and the aerosol size distribution, respectively. Consequently, the dynamics of the particle size distribution were reduced to a set of ordinary differential equations using the moment approach. A generalized raindrop distribution, including two widely used distributions; the Marshall–Palmer (MP) and Krigian–Mazin (KM) raindrop distributions, was adopted.Our model results have shown that raindrops with smaller diameters, and narrower distributions, collect aerosols more efficiently. Further, it was shown, in the small particle size region that the geometric mean diameter increases, while in the large particle region it decreases. For the two size ranges, the geometric standard deviations decrease with time, and a scavenging gap, the minimum particle removal efficiency region, exists between these particle size ranges.The dynamics of the particle size distributions, the MP and KM raindrop distributions, in the small particle range, show that the effects of the overestimation in the MP distribution were not as great as expected. Also, this study ascertained that the conventional parameterization of the constant collision efficiency introduces significant errors for estimating the particle size distribution dynamics by wet scavenging. |
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