ASTM International - ASTM D5283-92(2003)

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

historical
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Organization: ASTM International
Publication Date: 10 March 2003
Status: historical
Page Count: 18
ICS Code (Quality management and quality assurance): 03.120.10
ICS Code (Wastes in general): 13.030.01
significance And Use:

Environmental data are often required for making regulatory and programmatic decisions. These data must be of known quality commensurate with their intended use.

Data generation efforts... View More

scope:

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 assure 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 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. 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 and health practices and determine the applicability of regulatory limitations prior to use.

Note1-A complete table of contents of this practice is given in .

Document History

May 1, 2018
Standard Practice for Generation of Environmental Data Related to Waste Management Activities: Quality Assurance and Quality Control Planning and Implementation
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...
February 1, 2009
Standard Practice for Generation of Environmental Data Related to Waste Management Activities: Quality Assurance and Quality Control Planning and Implementation
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...
ASTM D5283-92(2003)
March 10, 2003
Standard Practice for Generation of Environmental Data Related to Waste Management Activities: Quality Assurance and Quality Control Planning and Implementation
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...
January 1, 1997
Standard Practice for Generation of Environmental Data Related to Waste Management Activities: Quality Assurance and Quality Control Planning and Implementation
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...
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