Here a numerical technique based on the method of lines (MoL) for solving Richards' equation is presented. The Richards' equation deals with modeling infiltration of water into the unsaturated zone. By means of any kind of observations, some values of the state variable are assumed to be available at certain time points, in order to "correct" the numerical solution in the light of these observations. This is done by means of ensemble Kalman filter (EnKF), that is a data assimilation technique based on a Monte Carlo approach. Advantages of this approach are discussed, in the light of existing bibliography.

The numerical solution of Richards' equation by means of method of lines and ensemble Kalman filter

Vurro M
2016

Abstract

Here a numerical technique based on the method of lines (MoL) for solving Richards' equation is presented. The Richards' equation deals with modeling infiltration of water into the unsaturated zone. By means of any kind of observations, some values of the state variable are assumed to be available at certain time points, in order to "correct" the numerical solution in the light of these observations. This is done by means of ensemble Kalman filter (EnKF), that is a data assimilation technique based on a Monte Carlo approach. Advantages of this approach are discussed, in the light of existing bibliography.
2016
Istituto di Ricerca Sulle Acque - IRSA
Data assimilation
Ensemble Kalman filter
Method of lines
Richards' equation
Unsaturated water flow
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/317177
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