Xu, Teng; Gómez-Hernández, J. Jaime; Chen, Zi; Lu, Chunhui(Elsevier, 2021-04)
[EN] Understanding a contaminant source may help in a better management and risk assessment of a polluted aquifer. However, contaminant source information may not be available when a pollutant is detected in a drinking ...
Xu, Teng; Gómez-Hernández, J. Jaime(John Wiley & Sons, 2016)
Reliable characterization of hydraulic parameters is important for the understanding of groundwater flow and solute transport. The normal-score ensemble Kalman filter (NS-EnKF) has proven to be an effective inverse method ...
Gómez-Hernández, J. Jaime; Xu, Teng(Springer-Verlag, 2022-02)
[EN] Forty years and 157 papers later, research on contaminant source identification has grown exponentially in number but seems to be stalled concerning advancement towards the problem solution and its field application. ...
Chen, Zi; Xu, Teng; Gómez-Hernández, J. Jaime; Zanini, Andrea(Springer-Verlag, 2021-10)
[EN] The joint identification of the parameters defining a contaminant source and the heterogeneous distribution of the hydraulic conductivities of the aquifer where the contamination took place is a difficult task. Previous ...
Xu, Teng(Universitat Politècnica de València, 2014-11-03)
The ensemble Kalman filter (EnKF) is nowadays recognized as an excellent inverse method for hydraulic
conductivity characterization using transient piezometric head data. and it is proved that the EnKF is
computationally ...
Xu, Teng; Gómez Hernández, J. Jaime(American Geophysical Union (AGU), 2015)
Inverse sequential simulation (iSS) is a new inverse modeling approach for the characterization
of hydraulic conductivity fields based on sequential simulation. It is described and demonstrated in a synthetic
aquifer ...
Xu, Teng; Gómez-Hernández, J. Jaime(Elsevier, 2015-12)
For good groundwater flow and solute transport numerical modeling, it is important to characterize the formation
properties. In this paper, we analyze the performance and important implementation details of a
new approach ...
Chen, Zi; Gómez-Hernández, J. Jaime; Xu, Teng; Zanini, Andrea(Elsevier, 2018-09)
[EN] Contaminant source identification is a key problem in handling groundwater pollution events. The ensemble Kalman filter (EnKF) is used for the spatiotemporal identification of a point contaminant source in a sandbox ...
Xu, Teng; Gómez-Hernández, J. Jaime(John Wiley & Sons, 2016)
[EN] When a contaminant is detected in a drinking well, source location, initial contaminant release time, and initial contaminant concentration are, in many cases, unknown; the responsible party may have disappeared and ...
[EN] Proper identification of groundwater contaminant sources is vital to assess groundwater contamination. However, the majority of previous studies focuses on point source identification; only a few works have been ...
Xu, Teng; Gómez-Hernández, J. Jaime; Li ., Liangping; Zhou ., Haiyan(Elsevier, 2013-03)
[EN] The ensemble Kalman filter (EnKF) is nowadays recognized as an excellent inverse method for hydraulic conductivity characterization using transient piezometric head data. Its implementation is well suited for a parallel ...
Xu, Teng; Gómez-Hernández, J. Jaime(Elsevier, 2015-12)
Hu et al. (2013) proposed an approach to update complex geological fades models generated by multiple-point geostatistical simulation while keeping geological and statistical consistency. Their approach is based on mapping ...
Xu, Teng; Gómez-Hernández, J. Jaime(Elsevier, 2018)
[EN] Detecting where and when a contaminant entered an aquifer from observations downgradient of the source is a difficult task; this identification becomes more challenging when the uncertainty about the spatial distribution ...
Chen, Zi(Universitat Politècnica de València, 2021-02-01)
[ES] Como parte de los métodos de asimilacíon de datos, los métodos basados en conjuntos han ganado popularidad en hidrogeología dada su capacidad para manejar grandes cantidades de datos observados simultáneamente. ...
Xu, Teng; Gómez-Hernández, J. Jaime; Zhou, Haiyan; Li, Liangping(Elsevier, 2013-04)
The localized normal-score ensemble Kalman filter (NS-EnKF) coupled with covariance inflation is used to characterize the spatial variability of a channelized bimodal hydraulic conductivity field, for which the only existing ...