This chapter deals with a realistic case study in which a time series of conductivity observations by the double constraint methodology (DCM) is combined with the Kalman filter to determine the observation uncertainty from the spread of the observation noise.
|Title of host publication||The Double Constraint Inversion Methodology|
|Subtitle of host publication||Equations and Applications in Forward and Inverse Modeling of Groundwater Flow|
|Editors||Wouter Zijl, Florimond De Smedt, Mustafa El-Rawy, Okke Batelaan|
|Number of pages||12|
|Publication status||Published - 2018|
|Name||SpringerBriefs in Applied Sciences and Technology|
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- Porous media
- Double Constraint Method
- observation error
- inverse modeling