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Title: Sampling and Analysis Plan for Environmental Control Number: Revision Date: Page 13 of 23 Groundwater Monitoring PUE.EN.D.026.03 10/18/2019 Initially, MW-5 was to be monitored for field pH, conductivity and temperature, and in the lab for sulfate, TDS, radium-226 and radium-228. This parameter list was developed based on results from the prior St. Charles River monitoring wells,which have since been proven to not be applicable for GCC monitoring and accordingly plugged and abandoned. Potential indicator parameters for groundwater monitoring were evaluated in a report by Close Consulting Group (2016). The parameter list in Table 1 was established in TR-06, and modified by GCC to also analyze samples for Total Dissolved Solids (TDS) to obtain background data. Numeric Protection Levels other than Table Value Standards may be established by DRMS after a sufficient number of samples have been collected and analyzed. If there is insufficient volume of water for the complete laboratory analytical list, the first priority will be collection of a sample for dissolved metals analysis,followed by nitrate/nitrite, then unfiltered/unpreserved sample(s) for as many remaining analytes as possible. 5.0 DATA QUALITY, VALIDATION, AND USABILITY This section describes the data quality objectives and validation process used during review of groundwater data collected at the Site. 5.1 Data Quality Objectives The following section outlines the QA/QC practices employed by sampling personnel and laboratories to ensure the data collected per this SAP are complete, accurate, precise, representative, and comparable between labs (as required). QA/QC terms are described below as well as the steps that GCC will take to ensure these QA/QC practices are met. GCC achieves QA/QC requirements by ensuring that field meters are properly maintained and calibrated, accurate measurements and notes are recorded, field QA/QC samples are collected, proper sample collection and decontamination field procedures are performed, and a complete data review and validation(as described in Section 5.2)are performed. Analytical laboratories are expected to follow internal SOPS, perform required QA/QC sample analysis (e.g., method blanks, control samples, matrix spikes, and associated duplicates) and include the QA/QC data in the final analytical report. The following definitions describe terms typically used for data quality. Accuracy Accuracy is defined as the closeness of agreement between an observed value and an accepted reference value as reported by a laboratory. When applied to a set of observed values (such as field and laboratory QA sample results), accuracy estimates will reflect a combination of random and systematic (i.e., bias) components. In practice, accuracy estimates rely on a determination of the percent recovery measured in spiked samples: