Scientists from the University of Wisconsin deployed a McLane RAS-500 with adaptive sampling to study bacterial loading in the Great Lakes area. The buoy based system collected samples using activity triggered, time-series sampling. Significant patterns of contamination events were linked to heavy rainfall. The UW team wrote an application program interface (API) triggering the automatic start of RAS- 500 sampling events and providing user monitoring of sample status and battery life. When more than .51cm of rainfall is recorded from at least 6 buoy stations sampling begins and sends a message to alert researchers. Samples are collected every two hours until stopped by the operator. Read more about these Adaptive sampling studies.
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