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Kremenchutskii DA. Precipitation scavenging of beryllium-7 ( 7Be): Observation results and parameterization. CHEMOSPHERE 2022; 307:135908. [PMID: 35932917 DOI: 10.1016/j.chemosphere.2022.135908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 07/26/2022] [Accepted: 07/30/2022] [Indexed: 06/15/2023]
Abstract
This study aims to develop a 1D model that makes it possible to calculate the daily total 7Be wet deposition flux. For this purpose, long-term (2015-2021), high-frequency (daily) and time-synchronized series of observations of 7Be wet deposition flux and its atmospheric activity concentration are analyzed in this paper. Daily mean 7Be activity concentration in the atmosphere, daily total 7Be wet deposition flux and mean 7Be activity concentration, washout ratio, deposition velocity and scavenging coefficient with individual precipitation events lie in the range of 0.1-17 mBq m-3, 0.8-117.2 Bq m-2 d-1, 0.4-11.3 Bq L-1, 331-3799, 0.2-24.7 cm s-1 and (0.8-35.6) × 10-5 s-1, respectively. Quantitative estimates of the influence of precipitation parameters (amount, intensity and duration) on the daily total 7Be wet deposition flux, mean 7Be activity concentration in precipitation, washout ratio, deposition velocity and scavenging coefficient with individual precipitation events have been obtained using correlation analysis. It has been found that precipitation amount has the greatest influence on 7Be deposition flux and deposition velocity, precipitation intensity has the greatest influence on washout ratio and scavenging coefficient, and precipitation duration has the greatest influence on 7Be activity concentration in precipitation. The relationships between these parameters have been parameterized. Based on these parameterizations, five 1D models that calculate the daily total 7Be wet deposition flux have been introduced and validated against the observation data. It has been revealed that the model, which is based on deposition velocity parameterization and uses the data on 7Be activity concentration in the atmosphere and the daily amount of precipitation as predictors, reproduces the highest fraction of the observational data (88%) with the lowest average calculation error (32%) compared to the other four models.
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Affiliation(s)
- Dmitrii A Kremenchutskii
- Marine Hydrophysical Institute of RAS, Kapitanskaya Street 2, Sevastopol, 299011, Russian Federation.
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MacDonald AB, Dadashazar H, Chuang PY, Crosbie E, Wang H, Wang Z, Jonsson HH, Flagan RC, Seinfeld JH, Sorooshian A. Characteristic Vertical Profiles of Cloud Water Composition in Marine Stratocumulus Clouds and Relationships With Precipitation. JOURNAL OF GEOPHYSICAL RESEARCH. ATMOSPHERES : JGR 2018; 123:3704-3723. [PMID: 32025449 PMCID: PMC7002026 DOI: 10.1002/2017jd027900] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2017] [Accepted: 02/13/2018] [Indexed: 06/01/2023]
Abstract
This study uses airborne cloud water composition measurements to characterize the vertical structure of air-equivalent mass concentrations of water-soluble species in marine stratocumulus clouds off the California coast. A total of 385 cloud water samples were collected in the months of July and August between 2011 and 2016 and analyzed for water-soluble ionic and elemental composition. Three characteristic profiles emerge: (i) a reduction of concentration with in-cloud altitude for particulate species directly emitted from sources below cloud without in-cloud sources (e.g., Cl- and Na+), (ii) an increase of concentration with in-cloud altitude (e.g., NO2 - and formate), and (iii) species exhibiting a peak in concentration in the middle of cloud (e.g., non-sea-salt SO4 2-, NO3 -, and organic acids). Vertical profiles of rainout parameters such as loss frequency, lifetime, and change in concentration with respect to time show that the scavenging efficiency throughout the cloud depth depends strongly on the thickness of the cloud. Thin clouds exhibit a greater scavenging loss frequency at cloud top, while thick clouds have a greater scavenging loss frequency at cloud base. The implications of these results for treatment of wet scavenging in models are discussed.
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Affiliation(s)
- Alexander B MacDonald
- Department of Chemical and Environmental Engineering, University of Arizona, Tucson, AZ, USA
| | - Hossein Dadashazar
- Department of Chemical and Environmental Engineering, University of Arizona, Tucson, AZ, USA
| | - Patrick Y Chuang
- Earth and Planetary Sciences, University of California, Santa Cruz, CA, USA
| | - Ewan Crosbie
- Science Systems and Applications, Inc., Hampton, VA, USA
- NASA Langley Research Center, Hampton, VA, USA
| | - Hailong Wang
- Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Zhen Wang
- Department of Chemical and Environmental Engineering, University of Arizona, Tucson, AZ, USA
| | - Haflidi H Jonsson
- Department of Meteorology, Naval Postgraduate School, Monterey, CA, USA
| | - Richard C Flagan
- Department of Chemical Engineering, California Institute of Technology, Pasadena, CA, USA
| | - John H Seinfeld
- Department of Chemical Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Armin Sorooshian
- Department of Chemical and Environmental Engineering, University of Arizona, Tucson, AZ, USA
- Department of Hydrology and Atmospheric Sciences, University of Arizona, Tucson, AZ, USA
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Hasegawa H, Akata N, Kawabata H, Chikuchi Y, Sato T, Kondo K, Inaba J. Mechanism of 7Be scavenging from the atmosphere through precipitation in relation to seasonal variations in Rokkasho Village, Aomori Prefecture, Japan. J Radioanal Nucl Chem 2007. [DOI: 10.1007/s10967-007-0731-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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