The intended use of this guide is to provide practical assistance in the development of an optimized sampling design. This standard describes or discusses:
4.1.1 Sampling design selection criteria,
4.1.2 Factors impacting the choice of a sampling design,
4.1.3 Selection of a sampling design,
4.1.4 Techniques for optimizing candidate designs, and
4.1.5 The criteria for evaluating an optimized sampling design.
Within a formal USEPA data generation activity, the planning process or Data Quality Objectives (DQO) development is the first step. The second and third are the implementation of the sampling and analysis design and the data quality assessment. Within the DQO planning process, the selection and optimization of the sampling design is the last step, and therefore, the culmination of the DQO process. The preceding steps in the DQO planning process address:
4.2.1 The problem that needs to be addressed,
4.2.2 The possible decisions,
4.2.3 The data input and associated activities,
4.2.4 The boundaries of the study,
4.2.5 The development of decision rules, and
4.2.6 The specified the limits on decision error.
This guide is not intended to address the aspects of the planning process for development of the project objectives. However, the project objectives must be outlined and communicated to the design team, prior to the selection and optimization of the sample design.
This guide references statistical aspects of the planning and implementation process and includes an appendix for the statistical calculation of the optimum number of samples for a given sampling design.
This guide is intended for those who are responsible for making decisions about environmental waste management activities.
Область применения1.1 This document provides practical guidance on the selection and optimization of sample designs in waste management sampling activities, within the context of the requirements established by the data quality objectives or other planning process.
1.2 This document (1) provides guidance for selection of sampling designs; (2) outlines techniques to optimize candidate designs; and (3) describes the variables that need to be balanced in choosing the final optimized design.
1.3 The contents of this guide are arranged by section as follows:
1.Scope2.Referenced Documents3.Terminology4.Significance and Use5.Summary of Guide6.Factors Affecting Sampling Design Selection6.1 Sampling Design Performance Characteristics6.2 Regulatory Considerations6.3 Project Objectives6.4 Knowledge of the Site6.5 Physical Sample Issues6.6 Communication with the Laboratory6.7 Analytical Turn Around Time6.8 Analytical Method Constraints6.9 Health and Safety6.10 Budget/Cost Considerations6.11 Representativeness7.Initial Design Selection8.Optimization Criteria9.Optimization Process9.2 Practical Evaluation of Design Alternatives9.3 Statistical and Cost Evaluation10.Final SelectionAnnex A1.Types of Sampling DesignsA1.1 Commonly Used Sampling DesignsA1.2 Sampling Design ToolsA1.3 Combination Sample DesignsAppendix X1. Additional ReferencesAppendix X2. Choosing Analytical Method Based on Variance and CostAppendix X3. Calculating the Number of Samples: A Statistical Treatment1.4 This standard does not purport to address all of the safety concerns, if any, associated with its use. It is the responsibility of the user of this standard to establish appropriate safety and health practices and determine the applicability of regulatory limitations prior to use.