ISO 12404 pdf free download

ISO 12404-2021 pdf free download.Soil and waste一Guidance on the selection and application of screening methods.
6.2 Data quality objectives (DQOs)
NOTE The data quality objectives (DQOs) process refers to a systematic planning procedure for environmental data collection so that the data can be defensibly interpreted, and statistically analysed where appropriate, to address specified objectives. It includes appropriate sampling design and sampling plans. as well as the analytical strategy and setting analytical data objectives!211. The concept applies not just to numerical data, but also to the sufficiency of all relevant information in terms olquantity, quality and type.
In land contamination investigations, there are typically DQOs that require laboratory analytical data to be meaningfully comparable to a variety of risk-based or other quality criteria.
DQOs should be set for all investigations. They should be defined for the specific purpose of the site investigation phase or activity, e.g. risk-based assessment (human health and controlled waters), remediation, validation or waste classification.
When setting DQOs, account should be taken of the type, quantity and quality of the data required to inform subsequent decisions based on the data and other available information.
DQOs should be set having regard to QA/QC (Quality Assurance/Control) requirements and how comparison with risk-based or other criteria is to be effectively supported by the site data and information as well as the laboratory analytical data collected.
Review points should be identified at key stages throughout the investigation, assessment and remediation design phases to ensure that DQOs remain aligned to the project requirements. The review should include assessment of the continuing validity of the conceptual site model, data consistency, emerging data gaps and levels of uncertainty. A written record of the review should be maintained and incorporated in the assessment and design process and include a statement on whether the DQOs have been met and any shortfalls within the assessment.
6.3 Selection criteria
6.3.1 General
The following criteria should be taken into consideration when selecting the appropriate screening method. The different criteria should be weighted depending on the intended application. The decision-making process and the results should he documented by the user (see flowchart in Annex C and documentation aid in Annex D).
Prerequisites are:
— one known parameter or a set of known parameters;
— aim of determination;
— matrix (soil, soil-like materials, solid or liquid waste).
Whenever a sample is collected from waste, the sample source of waste is obvious. In the case of a sample collected from the ground, if the sample has no link with information on sampling location, screening application has no meaning. Even with soil-like material, samples are to be linked with sampling location in the same way.
6.3.2 Sampling/sample pre-treatment/preparation
Sampling/sample pre-treatment/preparation can include:
— direct measurement [e.g. (handheld) x-ray-fluorescence systems allow direct measurement with limited sampling/sample pre-treatment/preparationj;
— pre-treatment/preparation (e.g. extraction, separation);
— particle size and homogeneity.
Most screening methods require the provision of the analyte in an extract/eluate, which therefore requires sample pre-treatment. Pre-treatment needs to be carried out in accordance with the relevant standards.
6.4 Checks for the selection of candidate methods
6.4.1 General
A candidate screening method should meet predefined requirements in terms ot:
— parameter definition;
— field of application;
method characteristics;
— boundary conditions.
6.4.2 Parameter definition
Possible parameter definitions include:
— total content (e.g. chromium, benzene);
— individual species (e.g. Cr, Cr, Fe2, Fe3, volatile organic compounds);
— group parameters [e.g. total organic carbon (TOC), adsorbable organically bound halogens (AOX)].
In the case of on-site verification, the parameters are typically defined by declaration or based on the
experience of the staff.
6.4.3 Field of application
Fields of application are as follows:
— specified decision value (e.g. limit value, target value);
— concentration range;
— matrix;
— method limitations/interferences.
6.4.4 Method characteristics
Method characteristics are as follows:
— sensitivity, selectivity, accuracy value (e.g. limit value, target value);
— working range;
— limit of detection;
— matrix interferences;
— method limitations/interferences.ISO 12404 pdf download.