NEARC Fall 2016 has ended
Please note: the conference schedule is hosted by Sched.org which allows you to search within the schedule, and filter the schedule to show sessions only occurring on a certain date or within a track. Some presentation slides have been provided for your reference. Use the custom filter tool on the right to search for "Slides Available" or click here: https://nearcfall2016.sched.org/audience/Slides+Available

To return to the NEARC website, go to: http://northeastarc.org/2016/index.html

View and download a PDF of the final program. 
Back To Schedule
Tuesday, October 18 • 2:30pm - 3:00pm
Technical Session. Historical Data Visualization for Contaminated Sites - In 3D and Online

Sign up or log in to save this to your schedule, view media, leave feedback and see who's attending!

AUTHORS: Kelsey Lanan, Katie Budreski, Dan Voisin, David Healy - Stone Environmental

ABSTRACT: Data visualization is an indispensable tool for understanding the nature and extent of contamination at contaminated sites. Such sites, especially large and heavily contaminated areas like superfund sites, have often been studied for long periods of time, and have decades’ worth of historical data for contaminant concentrations in soil, water, air, etc. Unfortunately, these data are often contained in myriad reports, maps, and files in various formats, from multiple labs and companies, and with varying degrees of legibility and data completeness. In addition, it is difficult to visualize years’ worth of data (often hundreds of samples) on traditional static maps, especially when the contamination at many sites is a complex 3-dimensional problem involving geology, groundwater flow, multiple contaminants, and multiple sources of contamination. To solve all of these problems, Stone Environmental has developed a systematic way of compiling all historic data into a single comprehensive site database and visualizing that data in 3D models and with ArcGIS online. These tools allow us to visualize highly complex and detailed sites in intuitive and data-rich formats that are easier to use, share, understand, and present than traditional methods.

Tuesday October 18, 2016 2:30pm - 3:00pm EDT