@inproceedings{7774cd401b724c94877d58334b6fc057,
title = "Sensitivity Analyses on the Phenomenological Parameters in the Aerosol Dynamics Models in I-COSTA applied to International Standard Problem No.44",
abstract = "In this study, with an in-house code named I-COSTA, sensitivity analyses are performed on the phenomenological parameters in the aerosol dynamics using the international standard problem No44. The sensitivity analyses consider twelve parameters used in multicomponent sectional equations and Mason equations. The sensitivity analyses are performed on the airborne concentrations of the aerosol particles using I-COSTA, with parameters sampled via Latin hypercube sampling, and the results are used to obtain the correlation coefficients between the parameters and the airborne concentrations. From the analyses, the two parameters show strong linear relationship with the airborne concentration. The first one is dynamic shape factor, which accounts for the drag force of the non-spherical aerosol particles, is found to be one of the most important parameters in the aerosol dynamics. The saturation ratio in the Mason equation is also found to be an important parameter for aerosol particles with high solubility since the mass of the aforementioned particles is sensitive to the hygroscopic growth rate.",
keywords = "Aerosol dynamics, I-COSTA, ISP No. 44, Sensitivity analysis, Severe accident, Source term",
author = "Miran Park and Yoonhee Lee",
note = "Publisher Copyright: {\textcopyright} Proceedings of the 19th International Conference on Probabilistic Safety Assessment and Analysis, PSA 2025. All rights reserved.; 19th International Conference on Probabilistic Safety Assessment and Analysis, PSA 2025 ; Conference date: 15-06-2025 Through 18-06-2025",
year = "2025",
doi = "10.13182/PSA2025-46511",
language = "English",
series = "Proceedings of the 19th International Conference on Probabilistic Safety Assessment and Analysis, PSA 2025",
publisher = "American Nuclear Society",
pages = "734--742",
booktitle = "Proceedings of the 19th International Conference on Probabilistic Safety Assessment and Analysis, PSA 2025",
}