Comparison of Two Ensemble Kalman-Based Methods for Estimating Aquifer Parameters from Virtual 2-D Hydraulic and Tracer Tomographic Tests

Comparison of Two Ensemble Kalman-Based Methods for Estimating Aquifer Parameters from Virtual 2-D Hydraulic and Tracer Tomographic Tests

We compare two ensemble Kalman-based methods to estimate the hydraulic conductivity field of an aquifer from data of hydraulic and tracer tomographic experiments: (i) the Ensemble Kalman Filter (EnKF) and (ii) the Kalman Ensemble Generator (KEG). We generated synthetic drawdown and tracer data by si...

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Bibliographic Details
Main Authors: Emilio Sánchez-León, Daniel Erdal, Carsten Leven, Olaf A. Cirpka
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Geosciences
Subjects:
hydraulic tomography
tracer tomography
temporal moments
virtual experiments
Ensemble-Kalman Filter
Kalman Ensemble Generator
Online Access:https://www.mdpi.com/2076-3263/10/7/276

Internet

https://www.mdpi.com/2076-3263/10/7/276

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