Shawnee State Implements Scioto Brush Creek Monitoring System
Dayton, OH, October 16, 2007 - Plant Biologist Dr. Bob Deal recently worked with NexSens Technology to implement a real-time weather and water quality monitoring system in the Scioto Brush Creek Watershed near Shawnee State University.
The system interfaces to water quality, water level, and weather monitoring instrumentation, transmitting the data via cellular telemetry to Shawnee State's campus. A pole-mounted weather transmitter simultaneously measures wind speed and direction, liquid precipitation, barometric pressure, air temperature, and relative humidity.
Within Scioto Brush Creek, a YSI multi-parameter water quality sonde measures temperature, conductivity, pH, dissolved oxygen, and turbidity. An OTT PS1 water level sensor is deployed nearby to continuously measure changes in water level.
Scioto Brush Creek is recognized by the Ohio EPA as an outstanding warm water habitat and is home to many different fish species and aquatic organisms. Although it is a high-quality stream, non-point source pollution has been threatening the water quality. As a result, many local organizations such as Shawnee State University are working to preserve Creek's natural habitat.
NexSens data telemetry systems allow Shawnee State researchers and other local Brush Creek Watershed conservationists to have real-time access to the data. Information gathered will be used to better understand and preserve the water quality of the Creek.
The project is part of a collaborative effort with 5 Ohio institutions Ohio State University, Wright State University, Shawnee State University, Central State University, and Kenyon College.
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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