Standard Practice for Generation of Environmental Data Related to Waste Management Activities: Quality Assurance and Quality Control Planning and Implementation

Standard [CURRENT]

ASTM D 5283:2018

Standard Practice for Generation of Environmental Data Related to Waste Management Activities: Quality Assurance and Quality Control Planning and Implementation

German title
Gewinnung von Umweltdaten in Verbindung mit Tätigkeiten in der Abfallwirtschaft: Planung und Durchführung der Qualitätssicherung und -lenkung
Publication date
2018 reapproved: 2025
Original language
English
Pages
15

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Publication date
2018 reapproved: 2025
Original language
English
Pages
15
DOI
https://dx.doi.org/10.1520/D5283-18R25
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Short description

1.1 Environmental data generation efforts are composed of four parts: ( 1 ) establishment of data quality objectives (DQOs); ( 2 ) design of field measurement and sampling strategies and specification of laboratory analyses and data acceptance criteria; ( 3 ) implementation of sampling and analysis strategies; and ( 4 ) data quality assessment. This practice addresses the planning and implementation of the sampling and analysis aspects of environmental data generation activities (Parts ( 1 ) and ( 2 ) above). 1.2 This practice defines the criteria that must be considered to ensure the quality of the field and analytical aspects of environmental data generation activities. Environmental data include, but are not limited to, the results from analyses of samples of air, soil, water, biota, waste, or any combinations thereof. 1.3 Adoption of a quality assurance project plan (QAPP) containing the goals, policies, procedures, organizational responsibilities, evaluation and reporting requirements, and other attributes of a quality management system including statement of DQOs should be adopted prior to application of this practice. Data generated in accordance with this practice are subject to a final assessment to determine whether the DQOs were met through application of quality control (QC) procedures that produce data that are scientifically valid for the purposes to which the data are intended. For example, many screening activities do not require all of the mandatory quality assurance (QA) and quality control (QC) steps found in this practice to generate data adequate to meet the project DQOs. The extent to which all of the requirements must be met remains a matter of technical judgement as it relates to the established DQOs. 1.4 This practice presents extensive management requirements designed to ensure high-quality environmental data. The words "must," "shall," "may," and "should" have been selected carefully to reflect the importance placed on many of the statements made in this practice. 1.5 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, health, and environmental practices and determine the applicability of regulatory limitations prior to use. 1.6 This international standard was developed in accordance with internationally recognized principles on standardization established in the Decision on Principles for the Development of International Standards, Guides and Recommendations issued by the World Trade Organization Technical Barriers to Trade (TBT) Committee.

ICS

03.120.10, 13.030.01

DOI

https://dx.doi.org/10.1520/D5283-18R25
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