Remediation Technology Summit

John Gondek
John Gondek

GEI Consultants, Inc.

John Gondek is an environmental toxicologist who specializes in the analysis of toxicity and chemistry data in relation to legacy and on-going sources of contamination in complex urban environments. He has conducted ecological risk assessments and other risk-based technical analyses at multiple Superfund sites and former manufactured gas plants. Additionally, he has supported the development of site-specific aquatic life criteria for several metals using bioavailability based approaches, such as the Biotic Ligand Model (BLM). Authors: John Gondek, Mike Hawthorne, Camille Carter, Lisa Reyenga, Jake Adcock


A Multimetric Approach for Optimization of Long-term Groundwater Monitoring Networks

Long-term groundwater monitoring programs can often be onerous, expensive, and may generate data that are superfluous to assessing the project goals. Such monitoring plans may have originally prescribed collecting a large suite of analytes, at frequent intervals, and have not been updated to reflect data collected since initiation of the program. Here we present a process for optimizing and streamlining future data collection efforts to specifically support remedial decision-making. This includes a step-wise process for identification of the priority contaminants, assessment of the spatial and temporal redundancy in the sampling scheme, and use of multivariable statistical analysis to define a defensible optimized network capable of characterizing the long-term trends in the data and accurately modeling groundwater plumes. Included here is a case study of how we have successfully implemented these principles at a large refinery, and our recommendations for working with regulators on optimizing and revising existing monitoring plans.

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