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Study on variational assimilation in chemical hazard leakage accidents
Author(s) -
Jinli Jiang,
Chaoshuai Han,
Xuezheng Zhu,
Jin Gu
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/605/1/012010
Subject(s) - data assimilation , covariance , matlab , gaussian , computer science , mathematics , convergence (economics) , covariance intersection , algorithm , mathematical optimization , covariance function , statistics , meteorology , physics , quantum mechanics , economics , economic growth , operating system
In this paper, the problem is studied and analyzed by introducing variational assimilation method and combining with the gaussian plume model.Through the analysis and study of background error covariance, observation error covariance and diffusion parameters, the variational assimilation scheme of chemical hazards was designed and the mathematical modeling was carried out.Then, through Matlab platform programming, numerical experiments are carried out on the established model and an example analysis is made. The results show that the concentration prediction field after assimilation can effectively reduce the prediction error and achieve convergence.

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