Abstract
Land subsidence modeling has been developed for reliable modeling and prediction in the last several decades. Calibration of hydraulic properties such as transmissivity and elastic and inelastic specific storages using observation data is a challenge because of the strong nonlinearity of groundwater flow equation especially when it accounted for the interbed drainage process. The ensemble Kalman filter is applied to calibrate hydraulic properties in a synthetic land subsidence model. The characterization of transmissivity and specific storages and prediction of land subsidence are improved after the drawdown and subsidence observation data are conditioned.
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Li, L., Zhang, M., Zhou, H. (2017). Calibration of Land Subsidence Model Using the EnKF. In: Gómez-Hernández, J., Rodrigo-Ilarri, J., Rodrigo-Clavero, M., Cassiraga, E., Vargas-Guzmán, J. (eds) Geostatistics Valencia 2016. Quantitative Geology and Geostatistics, vol 19. Springer, Cham. https://doi.org/10.1007/978-3-319-46819-8_58
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DOI: https://doi.org/10.1007/978-3-319-46819-8_58
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