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Numerical Solutions Of The Dust Transport Model And Its Sensitivity Analysis

Posted on:2018-11-16Degree:MasterType:Thesis
Country:ChinaCandidate:Y GaoFull Text:PDF
GTID:2310330533471106Subject:Applied Mathematics
Abstract/Summary:PDF Full Text Request
In this paper,the NCEP reanalysis wind field data of the Inner Mongolia from May 1 to May 4,2000 were used to simulate the dust transport process of two-dimensional and three-dimensional dust transport model by numerical experiments.It studies the sensitivity of the two-dimensional transport model to initial value and parameterKph and further studies the sensitivity of the three-dimensional transport model to parameterKph and parameterKpz.The experimental results show that :?1?The finite difference method is used to numerically solve the two-dimensional dust transport model,and the simulation results are in accordance with the actual dust transport process.Furthermore,by adding the initial value perturbation and the parameter perturbation experiments to the initial value and parameter,the results show that the two-dimensional dust transport model is not very sensitive to the initial value in a certain range,but is very sensitive to the parameterKph in a small disturbance range.?2?The finite difference method is used to numerically solve the three-dimensional dust transport model,the development of dust at 300 m,700m and 800 m is studied respectively.The simulation results show that the dust transport process is in line with the actual dust.Furthermore,by adding the parameters perturbation experiments to the parameterKph and parameterKpz respectively,the results show that the three-dimensional dust transport model is very sensitive to parameterKph and parameterKpz in a range of small disturbance.In this paper,by analyzing the sensitivity of the dust transport model to the parameters,the combination of mathematics and atmospheric science are closely related to the theoretical aspects of the dust model.
Keywords/Search Tags:the finite difference method, dust transport model, the initial value perturbation, the parameter perturbation, sensitivity
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