EARLY HEARING DETECTION AND INTERVENTION VIRTUAL CONFERENCE
MARCH 2-5, 2021
(Virtually the same conference, without elevators, airplane tickets, or hotel room keys)
5/22/2019 | 9:30 AM - 9:45 AM | IN SITU TURBIDITY SENSORS: THE PROBLEM, THE SOLUTION, AND BEYOND | 251 AB
IN SITU TURBIDITY SENSORS: THE PROBLEM, THE SOLUTION, AND BEYOND
Lake Macatawa, a drowned river mouth system located in southwest Michigan, is the receiving waterbody for a highly degraded watershed. Extremely high nutrient and chlorophyll concentrations, excessive turbidity, low dissolved oxygen, and a high rate of sediment deposition make it one of the most hypereutrophic lakes in Michigan. Through a multimillion dollar public-private partnership, projects such as wetland restoration, in-stream remediation, and best management practices (BMPs) are expected to have many economic, social, and ecological benefits, while achieving the ultimate goal of improved water quality in Lake Macatawa. In order to better monitor turbidity within the watershed, two in-situ YSI 600OMS turbidity sensors were placed up- and downstream of a wetland restoration area; continuous data have been logged every 30 minutes during April-November since 2015. Previously, data would be collected monthly and reported annually. Now, a simple host micro-controller has been created to communicate with the turbidity sensors. Data is transmitted to a nearby SigFox base station and passed on to a Microsoft Auzure IoT Cloud Platform for real-time data accessibility to anyone at a fraction of the cost of other systems.
- Sediment
- Watershed
- Restoration
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Presenters/Authors
Maggie Oudsema
(), Grand Valley State University - Annis Water Resources Institute, oudsemam@gvsu.edu;
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Michael Hassett
(), Annis Water Resources Institute - Grand Valley State University, hassetmi@gvsu.edu;
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Alan Steinman
(), Annis Water Resources Institute-Grand Valley State University, steinmaa@gvsu.edu;
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Dan Callam
(), Outdoor Discovery Center, danc@outdoordiscovery.org;
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Ryan Truer
(), twisthink, ryant@twisthink.com;
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