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Scavenging of electrified radioactive aerosol
Institution:1. Australian Nuclear Science and Technology Organisation, Locked Bag 2001, Kirrawee DC, NSW 2232, Australia;2. Australian Synchrotron, 800 Blackburn Road, Clayton, VIC 3168, Australia;1. Australian Nuclear Science and Technology Organization, Locked Bag 2001, Kirrawee DC, NSW 2232, Australia;2. Mark Wainwright Analytical Centre, University of New South Wales, Kensington, NSW 2052, Australia;3. Australian Synchrotron, 800 Blackburn Road, Clayton, VIC 3168, Australia;4. Centre for Clean Energy Technology, School of Chemistry and Forensic Science, University of Technology Sydney, PO Box 123, Broadway, Sydney, NSW 2007, Australia;5. Department of Mineralogy, National Museum, Václavské náměstí, 68, Prague 1, 115 79-CZ, Czech Republic;1. Korea Atomic Energy Research Institute, Daedeok-daero 989-111, Yuseong-gu, Daejeon 305-353, Republic of Korea;2. Seowon University, Musimseoro 377-3, Heungdeok-gu, Cheongju, Chungbuk 361-742, Republic of Korea
Abstract:Scavenging by water droplets is a mechanism for aerosol removal near clouds. Numerical methods are developed to quantify the removal of charged radioactive aerosols, including the electrical image force's contribution, attractive at small separations. Charging of radioactive aerosols is found to have significant effects on their collision efficiency and scavenging coefficient. The effect depends on the aerosol charge, and therefore, on the radioactive aerosol's decay rate and number concentration, but it does not depend significantly on the charge carried by the water drops. Scavenging coefficients are calculated for radioactive aerosols. For small particles at low aerosol concentrations (Z∼10–100 cm−3), charging can increase the scavenging coefficients by up to an order of magnitude. Electrification will, therefore, encourage the removal of small radioactive aerosols from the atmosphere, more rapidly than equivalent non-radioactive aerosols. The increase in removal at low radioactive-aerosol concentration may account for underpredictions of surface concentrations and will contribute to spatial variations in aerosol removal.
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