All Resources

Qualitative assessment of the comparability of Alberta's laboratory analytical method descriptions. Part 1 : trace elements in water

Description

This report provides information for surface water quality data users to qualitatively compare datasets using method description information.

Tags

Evaluation of quality control data from Alberta’s lotic water monitoring programs : 2016-2019

Description

This report investigates the bias and variability of data generated from the Long Term River Network (LTRN) and Tributary Monitoring Network (TMN) programs. In total, 323 field blank samples and... More ≫

Description

This report investigates the bias and variability of data generated from the Long Term River Network (LTRN) and Tributary Monitoring Network (TMN) programs. In total, 323 field blank samples and 318 duplicate samples were taken from nearly 100 stations across the province of Alberta. Data analyses relate these QC samples to 4,482 provincial LTRN and TMN environmental samples taken between January 2016 and December 2019. There was a wide range of potential contamination (i.e. bias) and variability evident in the parameters monitored in the TMN and LTRN programs. Data end-users should be cognizant of this potential bias and variability in data generated by the LTRN and TMN programs. Parameters with low environmental concentrations, elevated potential for extraneous contamination and/or high variability should be interpreted with caution.

Tags

Monitoring water quality in Alberta’s rivers and streams : a five-year plan

Description

The goal of this five-year plan is to provide a scientific foundation for understanding how various natural and anthropogenic stressors are potentially impacting water quality within Alberta’s... More ≫

Description

The goal of this five-year plan is to provide a scientific foundation for understanding how various natural and anthropogenic stressors are potentially impacting water quality within Alberta’s rivers and streams (lotic water).

Tags

Guidelines for quality assurance and quality control in surface water quality programs in Alberta

Description

This document recommends quality assurance and control guidelines for all water and sediment sampling programs conducted by aquatic scientists in the Alberta government. To make sure that all data... More ≫

Description

This document recommends quality assurance and control guidelines for all water and sediment sampling programs conducted by aquatic scientists in the Alberta government. To make sure that all data generated on various projects are reliable, quality assurance and quality control must be included in sampling designs for all water quality monitoring projects; quality control data should be interpreted in project reports. While this document is intended primarily for the staff of the Alberta government and their partners and consulting firms conducting studies for the government, it would also be useful for anyone doing water quality studies.

Tags

Laboratory data quality assurance policy

Description

Establishes the requirement that all analytical data required by Alberta Environment and Alberta Sustainable Resource Development be analyzed by laboratories that are accredited by the Standards... More ≫

Description

Establishes the requirement that all analytical data required by Alberta Environment and Alberta Sustainable Resource Development be analyzed by laboratories that are accredited by the Standards Council of Canada for the parameters being reported, except as indicated under this policy.

Tags

Guidelines for conducting toxicity testing on wastewaters

Description

Outlines requirements for testing the toxicity of industrial wastewater, to help ensure compliance of industrial operations with performance requirements.

Tags

Alberta Environmental Protection interim guidelines and specifications for preparing on-site quality assurance/quality control plans for Alberta industry sampling and analysis

Description

Each facility generating data has the responsibility to implement minimum procedures which assure that precision, accuracy, completeness, and representativeness of its data are known and... More ≫

Description

Each facility generating data has the responsibility to implement minimum procedures which assure that precision, accuracy, completeness, and representativeness of its data are known and documented. In addition, an organization should specify the quality levels which data must meet in order to be acceptable. To ensure that this responsibility is met uniformly, each facility must have a written Quality Assurance/Quality Control Plan covering each monitoring or measurement activity within its purview.

Tags