Event Title

Groundwater contamination transport modeling in coastal Peru

Presenter Information

Richard Peralta
Bassel Timani

Location

Eccles Conference Center

Event Website

http://water.usu.edu/

Start Date

3-29-2011 2:40 PM

End Date

3-29-2011 3:00 PM

Description

Developing a pilot groundwater contaminant transport model involved intensive data and simulation model evaluation, and included re-calibrating the Antea-Amsa groundwater flow model for the Chillon River aquifer. Flow model re-calibration significantly 'improved head-matching statistics for the 1985-1997 era. An equilibrium-concentration approach guided sulfate contaminant transport model calibration. Because the flow-related data were known with more certainty than the transport-related data, the newly developed flow model parameters were not varied during transport model calibration. Transport model calibration optimization identified seepage water sulfate concentrations, that would produce a quasi-steady-state concentration distribution, that best matches field measurements of 1993-1997. Project circumstances dictated the brevity of the history-matching era. Both the flow model and the transport model are as accurate as the data upon which they are based. They can be improved by enhanced positioning of pumping wells within the model grid, and increased horizontal and vertical discretization.

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Mar 29th, 2:40 PM Mar 29th, 3:00 PM

Groundwater contamination transport modeling in coastal Peru

Eccles Conference Center

Developing a pilot groundwater contaminant transport model involved intensive data and simulation model evaluation, and included re-calibrating the Antea-Amsa groundwater flow model for the Chillon River aquifer. Flow model re-calibration significantly 'improved head-matching statistics for the 1985-1997 era. An equilibrium-concentration approach guided sulfate contaminant transport model calibration. Because the flow-related data were known with more certainty than the transport-related data, the newly developed flow model parameters were not varied during transport model calibration. Transport model calibration optimization identified seepage water sulfate concentrations, that would produce a quasi-steady-state concentration distribution, that best matches field measurements of 1993-1997. Project circumstances dictated the brevity of the history-matching era. Both the flow model and the transport model are as accurate as the data upon which they are based. They can be improved by enhanced positioning of pumping wells within the model grid, and increased horizontal and vertical discretization.

https://digitalcommons.usu.edu/runoff/2011/AllAbstracts/26