HR: 0800h
AN: H21E-1404 [Abstracts]
TI: A web accessible scientific workflow system for vadoze zone performance monitoring: design and
implementation examples
AU: * Mattson, E
EM: earl.mattson@inl.gov
AF: Idaho National Laboratory, PO Box 1625, Idaho Falls, ID 83415
United States
AU: Versteeg, R
EM: roelof.versteeg@inl.gov
AF: Idaho National Laboratory, PO Box 1625, Idaho Falls, ID 83415
United States
AU: Ankeny, M
EM: mark.ankeny@inl.gov
AF: Idaho National Laboratory, PO Box 1625, Idaho Falls, ID 83415
United States
AU: Stormberg, G
EM: Gregory.Stormberg@inl.gov
AF: Idaho National Laboratory, PO Box 1625, Idaho Falls, ID 83415
United States
AB:
Long term performance monitoring has been identified by DOE, DOD and EPA as one of the most challenging and costly elements
of contaminated site remedial efforts.
Such monitoring should provide timely and actionable information relevant to a multitude of stakeholder needs. This
information should be obtained in a manner which is auditable, cost effective and transparent.
Over the last several years INL staff has designed and implemented a web accessible scientific workflow system for
environmental monitoring. This workflow environment integrates distributed, automated data acquisition from diverse sensors
(geophysical, geochemical and hydrological) with server side data management and information visualization through flexible
browser based data access tools.
Component technologies include a rich browser-based client (using dynamic javascript and html/css) for data selection, a
back-end server which uses PHP for data processing, user management, and result delivery, and third party applications which
are invoked by the back-end using webservices.
This system has been implemented and is operational for several sites, including the Ruby Gulch Waste Rock Repository (a
capped mine waste rock dump on the Gilt Edge Mine Superfund Site), the INL Vadoze Zone Research Park and an alternative cover
landfill.
Implementations for other vadoze zone sites are currently in progress. These systems allow for autonomous performance
monitoring through automated data analysis and report generation. This performance monitoring has allowed users to obtain
insights into system dynamics, regulatory compliance and residence times of water.
Our system uses modular components for data selection and graphing and WSDL compliant webservices for external functions such
as statistical analyses and model invocations. Thus, implementing this system for novel sites and extending
functionality (e.g. adding novel models) is relatively straightforward.
As system access requires a standard webbrowser and uses intuitive functionality, stakeholders with diverse degrees of
technical insight can use this system with little or no training.
UR: http://geophysics.inel.gov
DE: 1835 Hydrogeophysics
DE: 1848 Monitoring networks
DE: 1875 Vadose zone
DE: 1895 Instruments and techniques: monitoring
SC: Hydrology [H]
MN: Fall Meeting 2005