The Effects of Variable Quality Data on the Accuracy of 3-Dimensional Subsurface Models for the McMaster Campus, Hamilton Ontario
Borehole record quality was determined based on the level of detail in the soil descriptions and on the degree of correlation with neighboring wells. Higher quality records came from soil reports and construction reports in which the depth and characteristics of the underlying sediment were the primary focus. Lower quality records were obtained from large digital waterwell databases which typically provide general soil classifications with little accompanying description. It may be necessary to integrate both high and low quality data into a single database but this may cause a significant dilution' effect on the good quality data.
To test the most effective methods of integrating databases of high and low quality, a series of 3-dimensional subsurface models were created from data available for the McMaster campus and surrounding area. Integrating outputs from models of high and low quality data sources creates an output using high quality data to constrain the stratigraphy in localized areas while using waterwell data to expand the model where data are sparse. This integrated' model approach utilizes the strengths from both data sources and can be applied to enhance the quality of regional 3-dimensional modeling studies.