Umatilla Chemical Weapons Depot
GiSdT (Guided Interactive Statistical Decision Tools) was developed by Neptune and Company, Inc. to provide statistical guidance, perform analyses, and provide a mechanism for sharing data and analyses with stakeholders. We have implemented GiSdT to evaluate the monitoring data that are currently being collected at a former chemical munitions facility. This work is being performed for the Washington Demilitarization Company’s Comprehensive Monitoring Program (CMP) at the U.S. Army’s Umatilla Chemical Weapons Depot in Oregon.
Data are available from several different media, including soil, air, and biota. The primary transport mechanism is airborne deposition. The data are being collected as part of a monitoring program that provides data every quarter. Each quarter approximately 3500 new samples are collected and analyzed for a suite of analytes including chemical agent. The data are updated each quarter into a Structured Query Language (SQL) database that Neptune and Company, Inc. stores and maintains. The Umatilla-GiSdT application accesses the data through SQL queries. Consequently, the statistical analyses are updated as soon as the new data are loaded into the system. We have also automated the reporting of quarterly data into the required quarterly results such that all standard reports and analyses are run automatically, and resources are then only spent on describing interesting results or trends.
This application includes spatio-temporal data for soil, air, and biota. The data are overlaid on geographic information system (GIS) images (shape files). Scaleable Vector Graphics (SVG) are used to enhance the spatial presentation and to allow the user to click on a specific location to access the temporal information for that location. The temporal information is then presented using temporal plots and is analyzed using parametric and non-parametric statistical methods. Exploratory data analysis of the data is also available in the form of box plots, histograms, quantile plots, and density estimates. Comparisons are made to baseline conditions so that the project team can quickly determine which data exceed thresholds and can also determine if there is a spatial or temporal trend of concern that might cause exceedance of the thresholds at some point in the future.
We provide all data results and statistical analysis input for quarterly reports. We then conduct more thorough and intricate analyses for the annual reports. The annual reports provide the opportunity to present complex statistical analyses and explain the implications of our findings.