Real-Time Wetlands Data for WSU Researchers
Dayton, OH, September 25, 2007 - Wright State University's Dr. Jim Amon recently worked with NexSens Technology to design and implement a real-time environmental monitoring network in the Beaver Creek Wetlands near Dayton, Ohio.
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. Data will be used both for independent and collaborative wetlands research applications.
Within Wright State University, information gathered from real-time wind speed and direction data will be used to conduct concentrated burns within the Wetlands. In addition, precipitation data will be monitored and correlated with water level, quality and flow during flood pulses. At both the Wetland inlet and outlet, sites are setup for continuous monitoring of water quality, level, and flow.
All three sites include NexSens 4100-iSIC Radio Data Loggers for collecting and transmitting data into the Coy Building Base Station. NexSens iChart software processes the data and posts it to a www.WQData.com web datacenter, where all interested parties can view the real-time data from the Wetlands.
Each respective institution will have real-time environmental data available for internal research projects. In addition, all data will be made available at The Ohio State University's Olentangy River Wetlands Research Park (ORWRP) in Columbus, OH.
Wetlands help filter contaminated surface water and clean aquifers and streams. In addition, wetlands offer flood control for local areas and provide unique habitats for plants and animals.
For more information on the latest in environmental data logging and software technology, contact Seth Thacker 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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