Team Leaders

Ning-Wu Chang
P 714-484-5485
Harold Templin
P 317-232-8711

Program Advisor

Lesley Hay Wilson
P 512-327-0902

The Geostatistics for Remediation Optimization (GRO) team was established to develop guidance to help practitioners better apply geospatial analyses in environmental projects. The Geospatial Analysis for Optimization at Environmental Sites (GRO-1) guidance will help state regulators and other practitioners to understand, evaluate, and make informed decisions about optimization activities at environmental sites using geospatial analyses. Geospatial analyses are tools that can evaluate optimization opportunities for the total project life cycle, providing enhanced data evaluation, interpretation, and communication for data that are related in time or space. In some cases, the geospatial analysis methods include statistical analyses involving spatial or spatial and temporal interpretations of environmental data, as well as uncertainty evaluations of those data. When such statistical assumptions and metrics are involved, those geospatial analysis methods are often referred to as geostatistical methods. Geospatial analyses can help get the most information from sampling locations and results to avoid sampling redundancy and to adjust remediation efforts through appropriate performance evaluation. Geospatial analyses can be used at environmental sites in all project life cycle stages (release detection, site characterization, remediation, monitoring and closure), for all environmental media (soil, groundwater, vapor, or sediment), and for different sizes and types of sites (for example, Brownfields, UST, RCRA). The team has also developed an Internet-based training course to assist practitioners and reviewers in using geospatial analysis for optimization activities.

The web-based guidance document provides information at several levels of detail to accommodate different users with different informational needs. Four fact sheets have been developed to provide an overview of the value and use of geospatial analysis in supporting optimization activities. The fact sheets provide connections to the more detailed material elsewhere in the guidance.