|Title||High-density, high quality regional sampling of water supply wells: Ontario's ambient groundwater geochemical program|
|Download||Download (whole publication) |
|Source||Regional-scale groundwater geoscience in southern Ontario: an Ontario Geological Survey and Geological Survey of Canada groundwater geoscience open house; by Russell, H A J; Priebe, E H; Geological Survey
of Canada, Open File 8022, 2016 p. 7, https://doi.org/10.4095/297730|
|Publisher||Natural Resources Canada|
|Meeting||Ontario Geological Survey and Geological Survey of Canada groundwater geoscience open house; Guelph; CA; March 10, 2016|
|Related||This publication is contained in Russell, H A J; Priebe, E
H; (2016). Regional-scale groundwater geoscience in southern Ontario: an Ontario Geological Survey and Geological Survey of Canada groundwater geoscience open house, Geological Survey of Canada, Open File 8022 |
|NTS||30M/05; 40P/08NE; 30M/12; 30M/11NW; 30M/13; 30M/14; 30M/15NW; 30M/15NE; 30M/16NW; 30M/16NE; 31C/04SW; 31C/04NW; 31D/01; 31D/02; 31D/03; 31D/04; 31D/06; 40P/09SE; 40P/09NE; 40P/16SE; 40P/16NE|
|Area||Greater Toronto Area; Lake Ontario; Burlington; Cobourg; Oshawa; Pickering; Lake Scugog; Rice Lake; Lake Simcoe; Newmarket; Niagara Escarpment|
|Lat/Long WENS|| -80.2500 -77.5000 44.5000 43.2500|
|Subjects||surficial geology/geomorphology; geochemistry; groundwater; groundwater geochemistry; groundwater resources; groundwater surveys; groundwater discharge; groundwater regimes; groundwater movement;
groundwater levels; bedrock geology; Newmarket Till; Halton Till; Oak Ridges Moraine; Quaternary|
Natural Resources Canada Library - Ottawa (Earth Sciences)
|Program||Aquifer Assessment & support to mapping, Groundwater Geoscience|
|Released||2016 03 03|
|Abstract||The Ambient Groundwater Geochemistry (AGG) initiative of the Ontario Geological Survey is a regional high density groundwater sampling program, the purpose of which is to map and understand the existing
groundwater geochemical conditions in Ontario's major rock and surficial sediment aquifers. Throughout the last decade, the study has amassed data for 2664 samples from 2095 stations across 96,000 km2 representing all of southern Ontario. |
one-time sampling program relies on existing well infrastructure sampled in a 10x10 km grid pattern. Monitoring and farm wells are used but the majority are domestic water supply wells with purging and sampling protocols adapted to the well type.
Sites are randomly selected such that three criteria are met: (1) the water source must be determined, (2) the full, untreated geochemical matrix must be characterized (3) data quality must be assured; i.e. it must be demonstrated that what was
intended to be measured has been correctly measured. A combination of field protocols, laboratory methods and a post acquisition QC auditing process, which collectively last for 6 months beyond a typical field season.
Wells are selected only if
their well construction details can be ascertained and cross-checked. The sources, and therefore reliability, of this information are recorded in the database and used later in an audit of all station information collected in the field. The audit,
which uses well logs, field notes, well owner comments, continuous logs of field parameters (temperature, pH, etc) and field photos, typically lasts several months and scrutinizes well construction details, well-head security, plumbing details,
integrity of water source and the geological origin of the water. In most years, based on the audit, a small number of sampled waters do not meet one of the three criteria and are rejected for inclusion in the AGG database.
procedures are rigorous. At least two analytical techniques are used to analyze many of the important parameters including the major ions, nitrate, iodide and many metals and these redundant analyses are checked against each other. Blind field
duplicates, blanks and multiple reference standards are inserted at regular intervals in lab submissions and amount to 15% of all samples submitted and are used to confirm precision and accuracy for all parameters. Where data are found to fail the
quality assurance tests, mitigation action is taken that may include re-analysis, resampling, or at worst, removal of the problem samples from the database.
These techniques provide the quality assurance required for publication of the database.
All blind quality control data are published, along with 27 station attributes, which allows end-users many options in the way they use the data, including creating subsets of the data for particular uses. The breadth of analysis, uniformity of
coverage, areal extent and data quality of this dataset together far exceeds that of any previously existing groundwater geochemical databases in the province of Ontario.