University of Tartu, Faculty of Science and Technology, Institute of Physics, Research Fellow in Mathematical Modelling University of Tartu, Faculty of Science and Technology, Institute of Physics
air ions, aerosol, modelling, new particle formation, atmospheric chemistry
20
Scopus Publications
Scopus Publications
COMPARISON OF GROWTH RATE CALCULATION METHODS FOR ATMOSPHERIC ULTRAFINE PARTICLE FORMATION MODELS 22nd International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes Harmo 2024, 2024
Links between the concentrations of gaseous pollutants measured in different regions of Estonia 20th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes Harmo 2020, 2020
Interpretation of atmospheric aerosol measurements by means of a numerical simulator of new particle formation events Aare Luts, Urmas Hõrrak, Jaan Salm, Marko Vana, Hannes Tammet Aerosol and Air Quality Research, 2016 We performed a more comprehensive test of a new NPF parameter estimator published recently. The estimator considers measurements as test data and automatically adjusts the values of its physical control parameters according to the criterion of best fit. The parameters estimated within this procedure include nucleation rate, particle growth rate, birth size of nanoparticles etc. We analyzed all new particle formation events recorded during a measurement campaign at Hyytiälä, Finland. The results show a good performance in reproducing the time series of the concentrations of small air ions and aerosol nanoparticles in the diameter interval of 2.8–8.6 nm. The numerically estimated values of the parameters are in accordance with the results known from certain other studies carried out at Hyytiälä. We conclude the new method may appear useful in the analysis of several air ion and atmospheric aerosol measurements during new particle formation events.
A method for automated estimation of parameters controlling aerosol new particle formation Aare Luts, Urmas Hõrrak, Jaan Salm, Marko Vana, Hannes Tammet Aerosol and Air Quality Research, 2015 We use a previously published simulator of aerosol new particle formation (NPF) events as the core component of the new method for automated estimation of its input parameters. The simulator has a large number of physical input parameters (e.g., nucleation and growth rates), and it yields results about the dynamics of particle concentrations and their size distributions as its output. Our new method automatically solves the inverse problem. It estimates the physical input parameters by recurrent simulations according to the criterion of best fit of the simulated output parameters with the known data. The method is implemented as a computer program that includes the previous simulator as a subroutine. The method enables the estimation of several physical parameters, e.g., the nucleation rate, particle growth rate, contribution from ion-induced and neutral nucleation, and particle charging state. The program was tested using the results of two NPF events measured at Hyytiälä, Finland. The measured time series of the concentration of atmospheric ions and nanoparticles in the diameter interval of 2.8–8.6 nm were well reproduced by our method. The estimated values of the analyzed input parameters are in agreement with the results known from many other studies carried out at Hyytiälä. The proposed method of inverse simulator may appear useful in the analysis and interpretation of air ion and atmospheric aerosol measurements during new particle formation events.
Problem of ionization rate in the research of atmospheric aerosols International Conference on Atmospheric Electricity Icae 2014, 2014