Groundwater Flow Model Predictive Analysis

摘要

Joint inversion of real and presumed information is proposed as a direct approach to analyzing the predictive certainty of groundwater flow models. This approach combines historical information about an aquifer system with presumed information regarding an alternative conceptual model or with presumed effects of potential modifications to the aquifer system. Automated inverse methods are used to estimate parameter values that balance the historical and presumed information. Results of the inversion indicate whether the alternative conceptual model or the presumed effects are likely based on their compatibility with available information regarding the aquifer system.