气候变化领域集成服务门户(CCPortal): Optimization of process models for determining volatility distribution and viscosity of organic aerosols from isothermal particle evaporation data

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DOI	10.5194/acp-19-9333-2019
	Optimization of process models for determining volatility distribution and viscosity of organic aerosols from isothermal particle evaporation data
	Tikkanen O.-P.; Hämäläinen V.; Rovelli G.; Lipponen A.; Shiraiwa M.; Reid J.P.; Lehtinen K.E.J.; Yli-Juuti T.
发表日期	2019
ISSN	16807316
起始页码	9333
结束页码	9350
卷号	19 期号:14
英文摘要	The composition of organic aerosol under different ambient conditions as well as their phase state have been a subject of intense study in recent years. One way to study particle properties is to measure the particle size shrinkage in a diluted environment at isothermal conditions. From these measurements it is possible to separate the fraction of low-volatility compounds from high-volatility compounds. In this work, we analyse and evaluate a method for obtaining particle composition and viscosity from measurements using process models coupled with input optimization algorithms. Two optimization methods, the Monte Carlo genetic algorithm and Bayesian inference, are used together with process models describing the dynamics of particle evaporation. The process model optimization scheme in inferring particle composition in a volatility-basis-set sense and composition-dependent particle viscosity is tested with artificially generated data sets and real experimental data. Optimizing model input so that the output matches these data yields a good match for the estimated quantities. Both optimization methods give equally good results when they are used to estimate particle composition to artificially test data. The timescale of the experiments and the initial particle size are found to be important in defining the range of values that can be identified for the properties from the optimization. © Author(s) 2019.
语种	英语
scopus关键词	aerosol property; Bayesian analysis; evaporation; genetic algorithm; Monte Carlo analysis; optimization; viscosity; volatilization
来源期刊	Atmospheric Chemistry and Physics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/144263
作者单位	Department of Applied Physics, University of Eastern Finland, Kuopio, Finland; School of Chemistry, University of Bristol, Bristol, BS8 1TS, United Kingdom; Atmospheric Research Centre of Eastern Finland, Finnish Meteorological Institute, Kuopio, Finland; Department of Chemistry, University of California, Irvine, CA, United States
推荐引用方式 GB/T 7714	Tikkanen O.-P.,Hämäläinen V.,Rovelli G.,et al. Optimization of process models for determining volatility distribution and viscosity of organic aerosols from isothermal particle evaporation data[J],2019,19(14).
APA	Tikkanen O.-P..,Hämäläinen V..,Rovelli G..,Lipponen A..,Shiraiwa M..,...&Yli-Juuti T..(2019).Optimization of process models for determining volatility distribution and viscosity of organic aerosols from isothermal particle evaporation data.Atmospheric Chemistry and Physics,19(14).
MLA	Tikkanen O.-P.,et al."Optimization of process models for determining volatility distribution and viscosity of organic aerosols from isothermal particle evaporation data".Atmospheric Chemistry and Physics 19.14(2019).