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What are some of the analytical data quality considerations when designing a sampling and analysis plan?

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What are some of the analytical data quality considerations when designing a sampling and analysis plan?

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When using a commercial laboratory, sample bias due to constituents that interfere with the analytical method are not commonly reviewed. Most analytical methods discuss the potential interferences and chemistries that can bias the analytical result. The variables associated with the site specific analytical system and quantification of the variables should be identified. Data validation should be conducted on all data sets. Well construction details and screen intervals, as well as local geology should be understood. Matrix interference issues and confidence levels required for the data user should be defined. EAM SERVICES, EXPERIENCE AND QUALIFICATIONS EAM has operated mobile analytical systems designed for the analysis of herbicides and pesticides, PAHs, PCBs, natural attenuation studies of petroleum and chlorinated solvents, and conducts air analyses for landfill gases, industrial hygiene sampling and analysis in accordance with NIOSH methods, as well as ambient air monitoring syste

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