Abstract

Using Predictive Modeling to Focus Hazardous Waste Cleanup
Track: Environmental Management
Authors: Christopher Oertel, Joanne Markert

Idaho National Laboratory (INL) and GeoEngineers Applied Technology Group implemented a unique geospatial predictive modeling framework, which utilizes a combination of Bayesian statistics and GIS kriging to model the potential for environmental contamination. GeoEngineers' proven modeling framework was adapted through the project to predict where radiological constituents in the soil (Cesium 137) might be found on a large scale at DOE facilities. INL will use the predictive model to streamline their environmental monitoring activities and cleanup efforts. ESRI's GeoProcessing framework and Task Assistant Manager provide the backbone for this unique toolset. The unique framework and approach to predictive modeling can be applied to a wide variety of spatial problems including weapons caching, radioactive contamination, potential archaeology sites, landslide risk zones, public works projects, or even the military's idea of 'human terrain.' INL plans to use this model in a variety of ways to save money and focus their cleanup efforts.