Self-Adaptive Dimensionality, Time-Staggering and Sensitivity Maps in Modeling Variably-Saturated Soils

Summary

The project develops, implements and evaluates self-adaptive schemes which allow optimal combinations of spatial dimensionalities and temporal scales to be used in numerical simulations for saturated and variably saturated soils.

Supervisor(s)

Associate Professor Abbas El-Zein

Research Location

Civil Engineering

Program Type

Masters/PHD

Synopsis

Environmental management of soil and groundwater resources requires modeling the coupled flow and mass transfer equations. Despite significant heterogeneities in soil and groundwater environments, conventional modeling approaches assign a single dimensionality and a single temporal scale to problems of water flow and contaminant migration. The project develops, implements and evaluates self-adaptive schemes which allow optimal combinations of spatial dimensionalities and temporal scales to be used in numerical simulations for saturated and variably saturated soils. In addition, algorithms which efficiently compute contours of the sensitivity of solutions to selected parameters would be developed. The student will be trained in research, communication, analysis of water flow and contaminant migration problems, finite-element method and computer programming. Journals where this research can be published are Water Resources Research, International Journal for Numerical Methods in Engineering and International Journal for Numerical and Analytical Methods in Geomechanics, among others.

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Keywords

seepage, contaminant transport, unsaturated soils, finite element methods, adaptivity

Opportunity ID

The opportunity ID for this research opportunity is: 340

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