Using GIS to Communicate and Query Groundwater Monitoring Data
Oral Presentation
Prepared by L. Blake
Trihydro Corporation, 1252 Commerce Drive, Laramie, WY, 82070, United States
Contact Information: [email protected]; 307-745-7474
ABSTRACT
Key Words: GIS, Geospatial, Spatial, Petroleum, Refinery, Remediation, Trend, Query, Collaboration, Web
Petroleum refineries need effective and secure collaborative tools to discern groundwater contamination and cleanup trends, and to track the progress of remediation activities.
We routinely sample groundwater wells and store the results in a database for use in analysis of refinery remediation activities. We developed a web-based mapping service of sampling well coordinates and associated sampling data and served it on top of infrastructure data and aerial photography so that we could communicate and query our groundwater monitoring data. Our project members now have the ability to design and answer spatially-oriented questions like “Which direction are the contaminants moving?” and “Has there been any benzene recorded in a particular area at this refinery?”
These spatial displays of information are accessible to authenticated project members – internally and externally – through a web browser, helping us to not only understand the spatial component of our data but also allow us to more accurately and efficiently make informed decisions.
Oral Presentation
Prepared by L. Blake
Trihydro Corporation, 1252 Commerce Drive, Laramie, WY, 82070, United States
Contact Information: [email protected]; 307-745-7474
ABSTRACT
Key Words: GIS, Geospatial, Spatial, Petroleum, Refinery, Remediation, Trend, Query, Collaboration, Web
Petroleum refineries need effective and secure collaborative tools to discern groundwater contamination and cleanup trends, and to track the progress of remediation activities.
We routinely sample groundwater wells and store the results in a database for use in analysis of refinery remediation activities. We developed a web-based mapping service of sampling well coordinates and associated sampling data and served it on top of infrastructure data and aerial photography so that we could communicate and query our groundwater monitoring data. Our project members now have the ability to design and answer spatially-oriented questions like “Which direction are the contaminants moving?” and “Has there been any benzene recorded in a particular area at this refinery?”
These spatial displays of information are accessible to authenticated project members – internally and externally – through a web browser, helping us to not only understand the spatial component of our data but also allow us to more accurately and efficiently make informed decisions.
