Data Quality Objectives process (DQO) in developing Sampling and Analysis Quality Plans (SAQP)

The use of the Data Quality Objectives process (DQO) in developing Sampling and Analysis Quality Plans (SAQP), with the assistance of Conceptual Site Models (CSM) to visualise the linkages and pathways of contamination and risk to site users is essential in understanding the contaminated land process.  The recently published new national guidelines, NEPM 2013, emphasises the use of the DQO process and development of SAQP and CSM by contaminated land practitioners. O2 practitioners have, for years been using DQO, SAQP and CSM, to fully characterise site contamination. 

The DQO process is used to define the type, quantity and quality of data needed to support decisions relating to the environmental condition of a site. It is essential the client is involved in the initial DQO process of defining the problem. Often the scientist will focus on the data with an undefined outcome and the client will focus on the cost assuming a certain outcome.

However, a fully disclosed, discussed and understood way forward for a project, with a well-defined environmental problem using the DQO process, will lead to a successful outcome for any project.
SAQP are essential in planning a cost effective efficient sampling program for your site, including tabulated decision trees and graphical representation of the proposed SAQP.

Sampling and analysis quality plans >