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Lake Erie Monitoring

Lake Erie Monitoring. Justin Chaffin Stone Laboratory and Ohio Sea Grant The Ohio State University. WLEB Leadership Team Meeting June 11, 2014. Groups monitoring the western basin. Fishing Charter Boats. Univ Toledo USGS Ann Arbor OSU Stone Lab. USGS Sandusky ODNR. OEPA Nearshore.

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Lake Erie Monitoring

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  1. Lake Erie Monitoring Justin Chaffin Stone Laboratory and Ohio Sea Grant The Ohio State University WLEB Leadership Team Meeting June 11, 2014

  2. Groups monitoring the western basin Fishing Charter Boats Univ Toledo USGS Ann Arbor OSU Stone Lab USGS Sandusky ODNR OEPA Nearshore All groups collect water sample to determine water quality of Lake Erie and to gain a better understanding of how the system works. LAKE BOTTOM OR THERMOCLINE

  3. Water Collection Methods Fishing Charter Boats Univ Toledo USGS Ann Arbor OSU Stone Lab USGS Sandusky ODNR OEPA Nearshore (most samples) 1 meter, pooled Surface to 2 meter Surface to 2x Secchi depth Mid depth, pooled Surface to 1 meter above sediments (up to 8 meter) 1 meter above bottom, pooled LAKE BOTTOM OR THERMOCLINE

  4. Sampling equipment Fishing Charter Boats Integrated Tube Samplers Van Dorn Sampler Univ Toledo USGS Ann Arbor OSU Stone Lab USGS Sandusky ODNR OEPA Nearshore LAKE BOTTOM OR THERMOCLINE Photo Credit: Justin Chaffin

  5. Why the different methods? Fishing Charter Boats Univ Toledo USGS Ann Arbor OSU Stone Lab USGS Sandusky ODNR OEPA Nearshore (most samples) The study of limnology (inland waters) began in late 1800s. The methods used by researchers reflected the needs of certain projects or sampling equipment available. Scientists independently created monitoring projects using their “favorite” water sampling method. Thus, there is no standard method for collecting a water sample. LAKE BOTTOM OR THERMOCLINE

  6. Sampling methods pros and cons Fishing Charter Boats Univ Toledo USGS Ann Arbor OSU Stone Lab USGS Sandusky ODNR OEPA Nearshore (most samples) Pros: “photic zone” Cons: Samples differ among sites. Composition point differs among phytoplankton. Dependent on sunlight. Turbid waters result in a shallow sample. Pros: Easy Cons: Over estimates surface scum compared to water column. Pros: Represents most of the water column. Easier than tube sampler. Cons: Misses surface scum. Need equal volumes of each sample Pros: Best represents entire water column. Cons: Bulky samplers in deep water. Scums diluted. LAKE BOTTOM OR THERMOCLINE

  7. Sampling Frequency Fishing Charter Boats Univ Toledo USGS Ann Arbor OSU Stone Lab USGS Sandusky ODNR OEPA Nearshore Every-other week Event-based Every-other week Event-based One a month Every-other week Grid sample Jun& Sept LAKE BOTTOM OR THERMOCLINE

  8. Water Quality Analyzes Fishing Charter Boats Univ Toledo USGS Ann Arbor OSU Stone Lab USGS Sandusky ODNR OEPA Nearshore TP, Chlorophyll a DRP (SRP), TDP, Nitrate, Nitrite, Silicate, Ammonium, Total Kjeldahl N, Microcystin**, Phytoplankton, Microcystis biovolume TP, Chlorophyll a DRP (SRP), Nitrate, Microcystin, Phytoplankton TP, Chlorophyll a Phytoplankton TP, Chlorophyll a DRP (SRP), Nitrate, Microcystin, Phytoplankton Total Phosphorus (TP) a measure of lake productivity potential. Chlorophyll a is a surrogate of phytoplankton biomass *Different analysis methods ** UT does not regularly measure Microcystin LAKE BOTTOM OR THERMOCLINE

  9. Water Quality Analyzes Fishing Charter Boats Univ Toledo USGS Ann Arbor OSU Stone Lab USGS Sandusky ODNR OEPA Nearshore TP, Chlorophyll a* DRP (SRP), TDP, Nitrate, Nitrite, Urea, TDN, Ammonium, Total Kjeldahl N, Silicate, Total SS, NVSS, Microcystin, Phytoplankton, Microcystis biovolume TP, Chlorophyll a* DRP (SRP), Nitrate, Microcystin, Phytoplankton TP, Chlorophyll a* Phytoplankton TP, Chlorophyll a* DRP (SRP), Nitrate, Microcystin, Phytoplankton *Different analysis methods LAKE BOTTOM OR THERMOCLINE

  10. A Bayesian Hierarchical Modeling Approach for Comparing Water Quality Measurements from Different Sources • Song Qian and Thomas Bridgeman • University of Toledo • Other team members: • OSU Stone Lab, USGS, Univ. Michigan, Ohio EPA, Ohio DNR, Heidelberg University • Funded by University of Michigan Water Center, Graham Sustainability Institute • Ohio EPA provided funding in 2013 & 2014 • Ohio Sea Grant/ Stone Lab REU program

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