Parameter identification in particle models | Zendy

H.F.P. van den Boogaard | Zendy; M. J. J. Hoogkamer | Zendy; Arnold Heemink | Zendy

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Parameter identification in particle models

Author(s) -

H.F.P. van den Boogaard,

M. J. J. Hoogkamer,

Arnold Heemink

Publication year - 1993

Publication title -

stochastic hydrology and hydraulics

Language(s) - English

Resource type - Journals

eISSN - 1435-151X

pISSN - 0931-1955

DOI - 10.1007/bf01581420

Subject(s) - calibration , particle (ecology) , identification (biology) , function (biology) , mathematical optimization , mathematics , computer science , model parameter , algorithm , geology , statistics , botany , oceanography , evolutionary biology , biology

For the simulation of the transport of dissolved matter particle models can be used. In this paper a technique is developed for the identification of uncertain parameters in these models. This model calibration is formulated as an optimization problem and is solved with a gradient based algorithm. Here adjoint particle tracks are used for the calculation of the gradient of the cost function. The performance of the calibration method is illustrated by simulations and an application to a river Rhine water quality calamity in November 1986.

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