GEOSCAN, résultats de la recherche


TitreOnline access, visualization and analysis of canadian groundwater data
AuteurSharpe, D; Brodaric, B; Boisvert, E; Logan, C; Russell, H A J
SourceThree-dimensional geologic mapping workshop, extended abstracts; par Illinois State Geological Survey; 2009 p. 40-46
LiensGroundwater Information Network (GIN)
LiensRéseau d'information sur les eaux souterraines (RIES)
Séries alt.Secteur des sciences de la Terre, Contribution externe 20090367
RéunionGeological Society of America annual meeting, three-dimensional geologic mapping workshop; Portland, Oregon; US; Octobre 17, 2009
Mediaen ligne; numérique
Sujetscollectes des données; eau souterraine; aquifères; applications par ordinateur; géomathématique
Illustrationssystem architecture; sample data
ProgrammeGéoscience des eaux souterraines, Groundwater Information Management & Dissemination
Résumé(disponible en anglais seulement)
Online access to Canadian groundwater information is being realized through the goundwater information network (GIN). GIN comprises six provincial agencies, several conservation authorities, along with a federal facilitating agency. Groundwater information is provided via Open Geospatial Consortium (OGC)-compliant web services (WMS, WFS) and Groundwater Markup Language (GWML). The exposed data reside in custodial provincial databases and they are combined dynamically into a seamless virtual database using the web services and GWML.

GIN can serve a range of client applications that are able to utilize WMS/WFS data sources. Two web-based portals have been developed and will shortly be made available to a wide range of users. The first is a data access portal that allows comprehensive discovery, viewing and download of water well data from GIN. The second is an analysis portal that allows for 2-D and 3-D map interrogation, visualization and statistical reporting of user selected data. The second provides a number of features previously available only in sophisticated Geographic Information Systems (GIS). These features include: location searching, summary statistics, thematic mapping, time-series analysis and the graphic display of well logs (e.g., water levels, materials and well construction) that can be manipulated and analyzed in a 3-D perspective view.

Standardized data fields (e.g. well log lithologic codes) allow for easy analysis of aquifer-aquitard structure, water level and other trends that traverse provincial boundaries. Wider use of the data via GIN is revealing issues related to data content, structure and systems as well as groundwater data completeness, consistency, and location accuracy.