Site investigation, or assessment, is common to all cleanup programs and is essential in determining the need for and best approach to cleanup. If not well designed and executed, investigations can lead to unending sampling events, unnecessary remediation, selection of inappropriate or poorly performing remedies, or the presence of unidentified sources of contamination or exposure pathways which must be addressed after the rest of the site is considered clean.
Cox-Colvin has extensive experience with all aspects of planning and implementing environmental investigations of all sizes and has been at the forefront of streamlining the investigation process. This begins with a clear understanding of the regulatory program, objectives, and both our client’s and the agency’s goals and expectations. Data quality objectives (DQOs) and the use of a conceptual site model early in the process assures that the right amount and the correct types of data are collected in the most cost-effective manner possible.
Our staff are trained and experienced in the use of the most current methods and technologies for collecting environmental data and to work safely under all types of conditions. Our scientists and engineers are highly skilled in organizing and managing data, interpretation of data, mapping and modeling techniques, and visualization software applications. Our reports are well organized and well written, and present often complex information in a clear and concise manner.
Cox-Colvin provides our clients with expertise in the following areas:
- RCRA facility investigation (RFI) and CERCLA remedial investigations (RI)
- Investigation design and work plan preparation
- Streamlined and results-based assessment
- Conceptual site model development
- Soil vapor intrusion evaluations
- Mass flux/mass discharge assessment
- Hydrogeologic assessment
- Innovative investigation using dyes, fluorescence, matrix diffusion, and isotopic analysis
- Surface and borehole geophysical analysis
- Soil, groundwater, and surface water sampling
- Data validation