Green River Bio Preserve sets up Environmental Monitoring Network
Dayton, OH, April 20, 2007 - Western Kentucky University (WKU) researchers selected NexSens real-time data logging systems to be used for a real-time water quality and level monitoring network throughout the Upper Green River Biological Preserve in Western Kentucky.
The first of multiple field sites was recently setup along the Green River to monitor both water level and water quality parameters. A YSI 600OMS (Optical Monitoring System) V2 sonde is setup to monitor temperature, conductivity, turbidity, and water level readings in the river.
The Green River field site uses a NexSens 4100-iSIC data logger with spread spectrum radio telemetry. The 4100-iSIC transmits data to a nearby 3200-iSIC radio-to-cellular system where cellular coverage is available. This 3200-iSIC is setup as a repeater to retrieve the radio frequency data and transmit it back out via cellular telemetry to the project coordinator?s office.
Back at WKU's campus, the project coordinator uses iChart 6 Software for direct communication to the remote systems. The software is setup to automatically post retrieved data to WQData 3, an online web datacenter service offered by NexSens Technology. Eventually, the datacenter will be setup for open access to the monitoring network, allowing both researchers and students to view real-time project data where Internet access is available.
As additional site locations are identified and setup, Western Kentucky University and other interested parties can use this real-time information to better understand and help protect this unique Biological Preserve.
For more information on the latest in environmental data logging and software technology, contact Paul Nieberding or visit www.nexsens.com.
About NexSens Technology - Recognizing the need for real-time environmental data, NexSens Technology, Inc was started in 1999 and is quickly becoming the preferred supplier for environmental researchers. The company's unique focus on water quality and weather sensors gives researchers valuable system features and capabilities not found in generic data logging equipment.
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