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i <br /> Project Timetable <br /> Activity Projected Start Date Anticipated Completion Date <br /> Submit supplemental information 03/2000 07/2000 <br /> and finalize permits to regulatory <br /> agencies <br /> Install pre-project monitoring wells Upon receipt that project Two week after notice <br /> is technically feasible <br /> from CDPHE <br /> Finalize CD and USR submittals 09/2000 10/2000 <br /> Construct pilot trench/monitoring 10/2000 11/2000 <br /> network <br /> Conduct monitoring 11/2000 11/2001 <br /> Submit monitoring information to 11/2000 12/2001 <br /> regulatory agencies <br /> 1.7 Measurement Quality Objectives <br /> Quality assurance (QA) is a management system for ensuring that all information, data, and <br /> decisions based upon the interpretation of the analytical data are technically sound and properly <br /> documented. Quality control (QC) is the mechanism whereby the QA system is ensured. The QA <br /> system is presented in this QAPP. The goal of the environmental data collection is to produce data <br /> capable of withstanding scientific scrutiny and of a quality appropriate for a specific task. This will <br /> allow CGRS. Inc. to fully assess the impact of past activities and target analytes, i.e., identification, <br /> quantification, and delineation of the extent. <br /> Data quality refers to the level of uncertainty associated with a data set. Data quality objectives <br /> (DQOs) for each task will reflect the amount of uncertainty in the data that will be acceptable to <br /> meet the goals of the program and the objectives of the task. Project and task DQOs are discussed <br /> in Section 1.8. Techniques to validate and verify the quality of the data are presented in Section 4.2. <br /> Quality assurance objectives differ for individual sample matrix groups and parameters by site. The <br /> QA objectives will be based on a common understanding of the intended use of the resulting data, <br /> available laboratory procedures, and available resources. Special attention must be paid to the <br /> detection limits and holding times. These limits are sometimes insufficient for the analysis of <br /> drinking water, groundwater,and/or soils. <br /> 1.8 Data Quality Objectives <br /> DQOs are qualitative and quantitative statements that specify the quality of the data required to <br /> support decisions made during the project. DQOs are applicable to collection activities and are <br /> Varra Companies <br /> Qualay Assurance Pro)eci Plan <br /> Page 3 <br />