Field Application of Parameter Identification in Groundwater Contaminant Transport Modeling: A Case Study

摘要

The application of a parameter identification (PI) algorithm in groundwater contaminant transport modeling is attempted in the study. The computer code used was a combination of an ordinary least square optimization routine and the United States Geological Survey's Method of Characteristics Code (USGS-MOC). In working with engineers and scientists from Washington State Department of Ecology and the consulting firm Golder and Associates, a suitable field problem with adequate monitoring data was selected. Using available observations, the transmissivity and dispersivity were calibrated by both the PI approach and the more conventional trial-and-error approach.