Data Quality Indicators Sample Clauses

Data Quality Indicators. Precision: Precision objectives for critical project measurements will be based on the relative percent difference (RPD) between duplicates. A minimum of one duplicate will be collected as described above for dredge sediment material and evaluated for precision. Accuracy: Accuracy for the target analyses will be evaluated by spiking a blank sample with a known amount of target compounds. The percent recovery of the target compounds will be calculated to determine the accuracy of the measurement. Completeness: Completeness objectives for data capture for this project are expected to approach 90 percent. Completeness is defined as the ratio of the number of complete and valid measurements to the total number of measurements planned.

Data Quality Indicators. The QAPP includes data quality indicators for identified chemicals of potential concern and for emerging chemicals of concern. The overall quality assuran ce objective for sampling data is to ensure that the data generated are of sufficient quality for the intended data end uses. To achieve these objectives, data will be:  Representative of actual site physical and chemical conditions .  Comparable to other stu dies, where appropriate .  Complete to quantitative statistical significance in terms of precision and accuracy, at levels appropriate for each stated data use for the project. Data quality is assessed based on comparability and representativeness and the qu antitative parameters precision, accuracy, completeness, and sensitivity. The data quality indicators presented in this QAPP are designed to be the minimum standard for assessment of precision, accuracy, representativeness, comparability, completeness (col lectively known as the PARCC parameters) and sensitivity. Descriptions of these characteristics are provided in Table 2-3, and definitions of the quantitative PARCC parameters are presented in Section 5.3. Worksheet #8 in Appendix A should be used to capture laboratory quality control requirements for each project. Tabulated precision and accuracy requirements presented in Appendix B should be observed unless otherwise defined by a project -specific QAPP . In addition to the PARC C parameters , sensitivity is essential to the production of usable and defensible environmental data. Sensitivity is established by the determination of the method detection limit (MDL), which is the minimum amount of material the method is capable of distinguishing from inherent syst em noise.      n 1 The MDL is formally defined as the minimum concentration of a substance that can b e measured and reported with 99 percent confidence that the analyte concentration is greater than zero. The MDL shall be determined by the analysis of a blank matri x containing a known amount of target analyte at a concentration no greater than five times the expected MDL. A minimum of seven replicates are analyzed , and the standard deviation of the replicate measurements is calculated as follows: where: i = 1…n n = 7 (1) To obtain the MDL using seven replicate analyses , the standard deviation is multiplied by the t-value of 3.143 for seven replicates at the 99 percent confidence level. Once the MDL has been established, the practical quantifi cation limit may be calculated...

Data Quality Indicators. Environmental data from ▇▇▇▇▇▇▇▇▇▇ sites must meet specific acceptance criteria related to sensitivity, precision, accuracy, representativeness, comparability, and completeness. These data quality indicators (DQIs) are discussed in greater detail in Section D1 in the context of environmental information reviews. DEQ contractors will be responsible for selecting and coordinating with an analytical laboratory that is accredited for all applicable parameters by DEQ. Further discussion of laboratory QC requirements is included in Section B4.2. Table 3. Field and Laboratory QC Elements and Acceptance Criteria QC Sample Type Frequency Media* Analyte Type** Acceptance Criteria Trip Blank 1 per cooler All Organic Only required when collecting VOCs Rinsate Blank 1 per 20 field samples (or at least 1 per day if less than 20 samples) All All < method reporting limit, or <10% of the lowest concentration identified in any sample Field Duplicate 1 per 20 field samples (or at least 1 per day if less than 20 samples) Air, water Inorganic RPD +/- 20% for concentrations >5X the QL, or Organic RPD +/- 30% for concentrations >5X the QL, or Solids, non- aqueous liquids Inorganic RPD +/- 30% for concentrations >5X the QL, or Organic RPD +/- 35% for concentrations >5X the QL, or Method Blank (MB) 5% for each preparation All All <1/2 QL or <10% of the lowest concentration identified in the sample Laboratory Duplicates or Matrix Spike Duplicate (MSD) 5% for each media sampled Air, water Inorganic RPD +/- 20% for concentrations >5X the QL, or Organic RPD +/- 30% for concentrations >5X the QL, or QC Sample Type Frequency Media* Analyte Type** Acceptance Criteria Solids, non- aqueous liquids Inorganic RPD +/- 30% for concentrations >5X the QL, or Organic RPD +/- 35% for concentrations >5X the QL, or Laboratory Fortified Sample (Matrix Spike/MS) 5% for each preparation Air, water Inorganic Recovery: 80-120% Organic Recovery: 60-140% Solids, non- aqueous liquids Inorganic Recovery: 70-130% for at least 80% of analytes Organic Recovery: 50-120% for at least 80% of analytes Surrogate Each sample All Organic Recovery: 50-150% Laboratory Control Sample (LCS) 1 per batch All Inorganic Recovery: 85-115% Organic Recovery: 75-130%*** * Water refers to all aqueous media containing less than 15% settleable solids (drinking water, groundwater, surface water, waste effluent, etc.). Solids refers to all aqueous media containing greater than 15% settleable solids (soils, sediments, sludges). Non-aqu...

Data Quality Indicators. Data assessment and validation is performed by evaluating the analytical data against the following data quality indicators (DQIs): sensitivity, precision, accuracy, representativeness, comparability, and completeness. Each of these indicators is discussed in greater detail below.