International audienceModelling of solute transport under transient flow conditions requires many input parameters, especially when using the nonequilibrium model. Most often, these parameters are not accurately measured but estimated by means of the inverse methods. Among different factors causing the nonuniqueness issues of estimated parameters, limited information content and correlations among parameters are the important ones. Therefore, it is necessary to evaluate these factors to better define optimisation approaches. In this study, sensitivity and estimability analysis were performed to evaluate sensitivity, estimability and correlations of parameters describing the equilibrium and nonequilibrium tracer transport in the field lysime...
A two-region nonequilibrium model was used to calibrate initial solute-transport parameter estimates...
We apply a general strategy based on Global Sensitivity Analysis (GSA) and model discrimination crit...
Assuring the quality of environmental monitoring data for long time series is well known to be a dif...
International audienceModelling of solute transport under transient flow conditions requires many in...
In this paper, five model approaches with different physical and mathematical concepts varying in th...
Solute transport is of concern in many hydrogeological and environmental issues. Development of test...
Solute transport is of concern in many hydrogeological and environmental issues. Development of test...
In September 2001 a tracing experiment has been worked out at the groundwater test field “Wagna ” (4...
International audienceThe purpose of this methodological study was to test whether similar soil hydr...
Contaminant transport and remediation strategies are based on knowledge of site specific parameters ...
To study contaminant transport in groundwater, an essential requirement is robust and accurate estim...
Correlation measures are used in a range of applications to quantify the similarity between time-ser...
This study investigates and applies robust modelling techniques for analysis of tracer concentration...
Concentration breakthrough data collected by the USGS at Stanton, Texas during tracer injection test...
We illustrate a general strategy to (a) calibrate the parameters embedded in competing mathematical ...
A two-region nonequilibrium model was used to calibrate initial solute-transport parameter estimates...
We apply a general strategy based on Global Sensitivity Analysis (GSA) and model discrimination crit...
Assuring the quality of environmental monitoring data for long time series is well known to be a dif...
International audienceModelling of solute transport under transient flow conditions requires many in...
In this paper, five model approaches with different physical and mathematical concepts varying in th...
Solute transport is of concern in many hydrogeological and environmental issues. Development of test...
Solute transport is of concern in many hydrogeological and environmental issues. Development of test...
In September 2001 a tracing experiment has been worked out at the groundwater test field “Wagna ” (4...
International audienceThe purpose of this methodological study was to test whether similar soil hydr...
Contaminant transport and remediation strategies are based on knowledge of site specific parameters ...
To study contaminant transport in groundwater, an essential requirement is robust and accurate estim...
Correlation measures are used in a range of applications to quantify the similarity between time-ser...
This study investigates and applies robust modelling techniques for analysis of tracer concentration...
Concentration breakthrough data collected by the USGS at Stanton, Texas during tracer injection test...
We illustrate a general strategy to (a) calibrate the parameters embedded in competing mathematical ...
A two-region nonequilibrium model was used to calibrate initial solute-transport parameter estimates...
We apply a general strategy based on Global Sensitivity Analysis (GSA) and model discrimination crit...
Assuring the quality of environmental monitoring data for long time series is well known to be a dif...