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    The water level data comes from the groundwater monitoring network of British Columbia (Canadian province). Each well in the observation network is equipped with a hydrostatic pressure transducer and a temperature sensor connected to a data logger. A second pressure transducer located above the water surface allows for adjusting the water level according to atmospheric pressure variations. The time series refers to the level below which the soil is saturated with water at the site and at the time indicated. The water level is expressed in meters above sea level (MASL). The dataset consists of a general description of the observation site including; the identifier, the name, the location, the elevation and a series of numerical values designating the water levels at a defined date and time of measurement.

  • 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.

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    Hydrogeological Regions provide a framework to introduce the regional hydrogeology of Canada and to connect apparently disparate studies into a broader framework. The hydrological regions are first order areas used to capture and summarize data that will help develop more detailed profiles of each region. Comparison of findings within and between regions will allow scalable extension to sub-regional and watershed scale mapping. Canada has been classified into nine principal hydrogeological regions. Each region is described briefly based on the following five hydrogeological characteristics (Heath, 1984): system components and geometry; water-bearing openings; rock matrix composition; storage and transmission; recharge/ discharge. The hydrogeological classification emphasizes major geological provinces and rock formations. Fundamental water-bearing openings and rock matrix properties help determine the quantity (storage), flux (transmission), and composition of formation waters. These same properties and any overlying sediment cover affect recharge/ discharge rates for regional formations. While regional attributes are general, a simple aquifer mapping scheme can further describe the nature and character of aquifers in each region. For example, general groundwater settings across the country could be described as has been done by USGS principal aquifers [1]. Thus the regional framework can potentially link from national scales to watershed scales by identifying typical aquifer types based on readily available geological maps that use water-bearing character as a common attribute. The nine hydrogeological regions include: Cordillera Mountains with thin sediment over fractured sedimentary, igneous and metamorphic rocks of Precambrian to Cenozoic age. Intermontane valleys are underlain by glacial and alluvial deposits of Pleistocene age. Plains (Western Sedimentary Basin) Region-wide basin of sub-horizontal Paleozoic to Cenozoic sedimentary rocks are overlain by thick glacial deposits filling buried valleys. Incised post-glacial valleys provide local relief. Shallow gas, coal, and brines may occur. Canadian Shield Undulating region of thin glacial sediment overlying complex deformed, fractured PreCambrian igneous, metamorphic and sedimentary rocks. Region contains several terrains: sedimentary basins, structural belts, and glacial-lacustrine basins. Hudson Bay (Moose River) Basin Sedimentary basin of Paleozoic to Mesozoic sub horizontal carbonate and clastic sediment covered by surficial deposits, with low relief and poor drainage. Southern Ontario Eastern Great Lakes region is underlain by gently-dipping Paleozoic, carbonate, clastic and gypsum-salt strata overlain by glacial sediments up to 200 m thick with tunnel valleys. Karst, bedrock valleys, shallow gas and brines are also important components. St. Lawrence Lowlands Lowlands underlain by shallow-dipping Paleozoic sedimentary rocks and thick glacial sediment in glacial-marine basins. Appalachian and Precambrian uplands discharge water to valleys. Shallow gas and saltwater intrusion are possible. Appalachia Upland to mountainous region with thin surficial sediment on folded Paleozoic sedimentary and igneous rocks. Range of rock types yields a wide range of water compositions. Valleys contain important alluvial aquifers. Maritimes Basin Lowlands with flat-lying, Carboniferous clastic , salt, and gypsum rocks contain shallow coal deposits. Surface glacial sediment is thin and discontinuous. Salt water intrusion is possible. Permafrost Arctic islands and most areas north of 60o contain frozen ground affects on groundwater flow. Diverse topography and geology define sub-regions of sedimentary basins and crystalline rocks. Glacial sediment is thin, discontinuous; local peat accumulations are significant.

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    The water level data comes from the groundwater monitoring network of Alberta (Canadian province). Each well in the observation network is equipped with a hydrostatic pressure transducer and a temperature sensor connected to a data logger. A second pressure transducer located above the water surface allows for adjusting the water level according to atmospheric pressure variations. The time series refers to the level below which the soil is saturated with water at the site and at the time indicated. The water level is expressed in meters above sea level (MASL). The dataset consists of a general description of the observation site including; the identifier, the name, the location, the elevation and a series of numerical values designating the water levels at a defined date and time of measurement.

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    The water level data comes from the groundwater monitoring network of Saskatchewan (Canadian province). Each well in the observation network is equipped with a hydrostatic pressure transducer and a temperature sensor connected to a data logger. A second pressure transducer located above the water surface allows for adjusting the water level according to atmospheric pressure variations. The time series refers to the level below which the soil is saturated with water at the site and at the time indicated. The water level is expressed in meters above sea level (MASL). The dataset consists of a general description of the observation site including; the identifier, the name, the location, the elevation and a series of numerical values designating the water levels at a defined date and time of measurement.

  • Groundwater flow is the movement of water in an aquifer or hydrogeological unit. The dataset shows groundwater flow rate and direction in the hydrogeological unit. Groundwater flow is establish from piezometric surface map. The method used to create the dataset is described in the metadata associated with the dataset. The dataset represents a description of the flow, including rate in m/d, direction, date and source. Typically, the data provided will not be in the form of a shapefile with linked properties but in the form of an image that sketches the groundwater flow. The image could also represent a cross section of the hydrogeologic units showing the regional trends of the groundwater flow.

  • 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.

  • 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.

  • 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.

  • A measure of the intrinsic susceptibility of an aquifer representing the tendency or likelihood for contaminants to reach a specified position in the groundwater system after introduction at some location above the uppermost aquifer. The method used to create the dataset is described in the metadata associated with the dataset. The dataset is a general assessment of the vulnerability of the hydrogeological unit considered as a whole. It features the local and regional qualifiers in a controlled vocabulary list referring to the extent where the vulnerability value is valid. Because the vulnerability is assessed using contextual indices linked to the regional hydrogeological settings, it is very unlikely to have an homogeneous range of data throughout the various hydrogeologic units across the country for this dataset. Hence, the vulnerability dataset will not qualify as an homogeneous dataset. A more generic reclassification using for examples three vulnerability classes could then be used to solve this problem. Each sub layers used to create the global vulnerability index can be provided along with the final vulnerability index map.