HR: 1340h
AN: H13A-0982    [Abstracts]
TI: Near Real-Time Sensing of Clear Creek Water Quality
AU: * Loperfido, J V
EM: john-loperfido@uiowa.edu
AF: Environmental Engineering and Sciences Laboratory, Department of Civil and Environmental Engineering, 4105 Seamans Center for the Engineering Arts and Sciences, University of Iowa, Iowa City, IA 52242-1527, United States
AU: Just, C L
EM: craig-just@uiowa.edu
AF: Environmental Engineering and Sciences Laboratory, Department of Civil and Environmental Engineering, 4105 Seamans Center for the Engineering Arts and Sciences, University of Iowa, Iowa City, IA 52242-1527, United States
AU: Papanicolaou, A
EM: athanasios-papanicolaou@uiowa.edu
AF: Iowa Institute of Hydroscience and Engineering, IIHR, Department of Civil and Environmental Engineering, University of Iowa, Iowa City, IA 52242, United States
AU: Schnoor, J L
EM: jerald-schnoor@uiowa.edu
AF: Environmental Engineering and Sciences Laboratory, Department of Civil and Environmental Engineering, 4105 Seamans Center for the Engineering Arts and Sciences, University of Iowa, Iowa City, IA 52242-1527, United States
AB: The transport of sediments, nutrients, and fecal bacteria from agricultural runoff through a watershed can have deleterious effects on receiving streams. It can impair aquatic ecosystems and cause excessive export of nutrients downstream, which can contribute to hypoxia. The ability to sense sediment and nutrient concentrations with high temporal resolution in near real-time could greatly improve our ability to understand processes which affect downstream water quality. Observations by sensors placed in streams can relay measurements to databases, and data mining can be used to glean information from streaming data for statistical and mathematical assimilation. Results from models can be used to provide advanced warning of harmful events and/or implement remedial measures. The goal of this research is to use the initial station of the Environmental Field Facility located in Clear Creek, Iowa to study processes and relationships which are essential to modeling water quality throughout the entire watershed. This station consists of several components including data loggers, telemetry hardware, and water quality sensors. Measurements collected at this field facility include conductivity, dissolved oxygen, pH, temperature, and turbidity. The measurements can be used as inputs to water quality models at the hillslope scale. This data will also provide estimates of other parameters that cannot be obtained in near real-time, and will improve our understanding of fundamental biogeochemical processes which dictate water quality in Clear Creek.
DE: 1806 Chemistry of fresh water
DE: 1847 Modeling
DE: 1848 Monitoring networks
DE: 1871 Surface water quality
SC: Hydrology [H]
MN: 2007 Fall Meeting