The amount of groundwater exploited is estimated in m³/year. Groundwater usages are classified in four categories: agricultural, industrial, domestic and energy. Typically, groundwater usage should be represented as a series of sub-polygons or points fitting inside the boundary of the hydrogeological unit. The scope and method used to estimate the amount of water are described in the metadata associated with the dataset. The dataset identifies the main usages for the hydrogeological unit. It features numbers and percentages describing groundwater usages for a predetermined scope. The groundwater usage is frequently compiled by municipalities or counties. It could then be possible to display the usage by superimposing a series of pie charts depicting the groundwater usages over multiples administrative areas.

Point features showing the location of groundwater wells in BC joined with attributes and information from the Groundwater Wells and Aquifers (GWELLS) application. NOTE: Artesian wells are flowing wells at the time of drilling. Suggested Filters: - Groundwater Supply Wells - Intended Water Use: WELL_CLASS = 'Water Supply' - Provincial Observation Wells: OBSERVATION_WELL_STATUS = 'Active' OR OBSERVATION_WELL_STATUS = 'Inactive'

Groundwater samples have been collected in the hydrogeological unit, for various types of analysis. The dataset is not used to represent a particular phenomenon or observation but rather as a utility dataset to add context and reference to groundwater analysis. It represents a general description of the sample site and sample. Sampling methods vary according to the types of analysis.

This map displays an assessment of groundwater quality risk for the agricultural area of Alberta. Agricultural activities that may have an impact on groundwater quality include livestock, crop production and agrochemical use. These activities along with the physical characteristics represented by aquifer vulnerability and available moisture were combined to produce this map. The classes shown on the map were ranked from 0 (lowest risk) to 1 (highest risk). This resource was created in 2005 using ArcGIS.

In permafrost dominated regions, a gap persists in our understanding of water resources, the influence of groundwater, and the impact of climate change at the regional scale. Regional scale modelling can help to advance the understanding of these impacts by integrating with regional climate models. For regional modelling to be tenable, ongoing development of modelling methods and conceptualizations is required. By developing a fully integrated numerical groundwater-surface water climate model using HydroGeoSphere (HGS) (Aquanty 2021) for a gauged basin within the discontinuous permafrost zone, this dataset allows the verification of existing numerical methods and the testing of various conceptualizations of integrated groundwater-surface water flow in permafrost regions at the regional scale. This work informs future modelling and forecasting of regional water resources in permafrost regimes.

Level below which soil or rock is saturated with water, in the well and at the time the level has been measured, expressed in m above the sea level. Groundwater depth is measured on the field, using a water level meters. The depth is then subtracted from the elevation of the measurement site to obtain the water level elevation. The dataset is a general description of the measurement site including location and well elevation. It features a series of points of the surface elevation of the groundwater body.

The Provincial Groundwater Monitoring Network (PGMN) datasets report on ambient (baseline) groundwater level and chemistry conditions. [Groundwater monitoring map](https://ontario.ca/environment-and-energy/map-provincial- groundwater-monitoring-network)

Delimitation of protected areas for groundwater withdrawalsfor the territory of the City of Rouyn-Noranda**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

In the hydrogeological unit, quantity of water that replenishes groundwater beneath the water table, expressed in mm/yr. Recharge is usually calculated using hydrology balance, integrating information from precipitation, hydrology data, drainage, soil properties, evapotranspiration, etc. The result is a raster dataset in which each cell has a given value for the recharge of the aquifer. It can be calculate using HELP software, developed by the US EPA. The methods used to create the dataset are described in the metadata associated with the dataset. The dataset represent a raster in which each cell has a mean value describing the global annual recharge of the hydrogeological unit.

Level below which soil or rock is saturated with water, in the well and at the time the level has been measured, expressed in m above the sea level. Groundwater levels measured are interpolated / extrapolated to obtain groundwater level on every cell of the hydrogeological unit raster. Surfer and ArcGis are the software usually used to create groundwater level raster. The dataset designates a raster with a groundwater level, for each cell of the hydrogeological unit.