HR: 1340h
AN: H13A-0980    [Abstracts]
TI: Little Bear River Test-Bed: Tools for Environmental Observatory Design and Implementation
AU: Stevens, D K
EM: david.stevens@usu.edu
AF: Utah State University, Utah Water Research Laboratory, 8200 Old Main Hill, Logan, UT 84322, United States
AU: * Tarboton, D G
EM: david.tarboton@usu.edu
AF: Utah State University, Utah Water Research Laboratory, 8200 Old Main Hill, Logan, UT 84322, United States
AU: Horsburgh, J S
EM: jeff.horsburgh@usu.edu
AF: Utah State University, Utah Water Research Laboratory, 8200 Old Main Hill, Logan, UT 84322, United States
AU: Spackman, A
EM: amspack@cc.usu.edu
AF: Utah State University, Utah Water Research Laboratory, 8200 Old Main Hill, Logan, UT 84322, United States
AU: Mesner, N O
EM: nancym@ext.usu.edu
AF: Utah State University, College of Natural Resources, 5210 Old Main Hill, Logan, UT 84322, United States
AB: This project is examining a special case of a general problem important for environmental observatory design by developing a set of "smart" sensors connected to a central database. The sensors collect real-time, high frequency data of easily monitored variables (e.g. turbidity), and the control system uses that information with a Bayesian Network to initiate intermittent sampling of more difficult to measure constituents (e.g. phosphorus). The real-time values are related to the wet chemistry data and used as surrogates to quantify fluxes of interest. Specific objectives include the estimation of fluxes from surrogate data, the relation of fluxes to watershed attributes and management practices, and the development of two way linkages between the sensors, a central database, and models or data analysis software, all contributing to the overall goal of improving water quality. This presentation will report on the progress on this project. We have installed water quality and streamflow monitoring instrumentation at four locations, and have installed two weather stations. We have set up the CUAHSI Hydrologic Information System Server that includes an instance of the Observations Data Model relational database that stores the data, web services that provides programmatic data access and the Data Access System for Hydrology that provides a map based interface for data access. We have established a telemetry system to transmit data from the sensors to the server and have developed tools to ingest data streams into the observations database so that they are available in real time. We have also developed a software tool for screening and quality control of the data. Our present efforts are focused on developing the logic for adaptive monitoring to trigger the collection of chemistry sampling based on information from the continuous water quality and weather sensors. Preliminary analyses have revealed some interesting and as yet unexplained diurnal fluctuations in the turbidity data that we are collecting.
UR: http://water.usu.edu/littlebearriver/
DE: 1800 HYDROLOGY
DE: 1819 Geographic Information Systems (GIS)
DE: 1871 Surface water quality
DE: 1879 Watershed
DE: 1895 Instruments and techniques: monitoring
SC: Hydrology [H]
MN: 2007 Fall Meeting