Michigan Technological University Digital Commons @ Michigan Tech Michigan Tech Research Institute Publications Michigan Tech Research Institute 2015 Bio-optical retrieval algorithm for the optically shallow waters of the Great Lakes A. D. Korosov Nansen International Environmental Research Laboratory Dmitry V. Pozdnyakov Nansen International Environmental and Remote Sensing Centre Robert A. Shuchman Michigan Technological University Michael J. Sayers Michigan Technological University Reid W. Sawtell Michigan Technological University Follow this and additional works at: https://digitalcommons.mtu.edu/mtri_p Part of the Physical Sciences and Mathematics Commons Recommended Citation Korosov, A. D., Pozdnyakov, D. V., Shuchman, R. A., Sayers, M. J., & Sawtell, R. W. (2015). Bio-optical retrieval algorithm for the optically shallow waters of the Great Lakes. IAGLR 58th Annual Conference on Great Lakes Research. Retrieved from: https://digitalcommons.mtu.edu/mtri_p/73 Follow this and additional works at: https://digitalcommons.mtu.edu/mtri_p Part of the Physical Sciences and Mathematics Commons ABSTRACTS International Association for Great Lakes Research ABSTRACTS 58th Annual Conference on Great Lakes Research May 25–29, 2015 University of Vermont © 2015 International Association for Great Lakes Research 4890 South State Road Ann Arbor, Michigan 48108 Cover design and conference logo by Jenifer Thomas CONTENTS ABSTRACTS .......................................................................................................... 1 A ........................................................................................................................ 1 B ...................................................................................................................... 13 C ...................................................................................................................... 43 D ...................................................................................................................... 60 E ...................................................................................................................... 72 F ...................................................................................................................... 79 G ...................................................................................................................... 89 H .................................................................................................................... 107 I ..................................................................................................................... 134 J ..................................................................................................................... 136 K .................................................................................................................... 143 L .................................................................................................................... 159 M ................................................................................................................... 179 N .................................................................................................................... 207 O ................................................................................................................... 212 P .................................................................................................................... 220 Q ................................................................................................................... 238 R .................................................................................................................... 239 S .................................................................................................................... 256 T .................................................................................................................... 288 U .................................................................................................................... 296 V .................................................................................................................... 297 W ................................................................................................................... 300 X .................................................................................................................... 319 Y .................................................................................................................... 323 Z .................................................................................................................... 325 AUTHOR INDEX ................................................................................................ 330 KEYWORD INDEX ............................................................................................ 344 ABSTRACTS An alphabetical listing of abstracts presented at the 58th Annual Conference on Great Lakes Research, organized by first author. Presenters are underlined. A ABEBE, F.1, RIOS MENDOZA, L.M.1, and DUHAIME, M.B.2, 1University of Wisconsin Superior, Belknap and Catlin, Superior, WI, 54880; 2University of Michigan, Kraus Natural Sciences, N. University, Ann Arbor, MI, 48109. Persistent Organic Pollutants on Microplastic Debris from Great Lakes. Microplastic pollution is becoming a fast growing problem in our environment. Our society is highly dependent on plastic products; from large industrial goods to the smallest plastic bags one gets from the stores, can all be potential hazards to the environment if they are not disposed properly. These products are not being recycled properly and they are polluting different water bodies and also other natural environments. Microplastic pollution can be highly catastrophic to the aquatic organisms because of the known potential to adsorb persistent organic pollutants, POPs, which can affect the human race. The problem is not being emphasized as it should be compared to its disastrous impact. The objective of this research is to provide an assessment of the pollution caused by microplastic debris in the Great Lakes waters by adsorption of toxic compounds. The preliminary results presented are from 44 samples from surface water (33 samples) and sediments (11 samples) collected from May to August, 2014. The plastic debris collected was classified by color, size, and chemical composition of the synthetic polymer. Keywords: Microplastics, POPs, PCBs, Freshwater, PAHs. ALAKAYAK, W.M.1, SOKOL, E.C.2, and URBAN, N.R.2, 1Keweenaw Bay Ojibwa Community College, 111 Beartown Rd., Baraga, MI, 49908; 2Michigan Technological University, 1400 Townsend Dr., Houghton, MI, 49931. Lake Characteristics that Affect Biomagnification of Mercury in Michigan's Upper Peninsula. IAGLR 2015 / BURLINGTON 2 Food webs in the Lake Superior watershed are impacted by the atmospheric deposition of mercury. Torch Lake, an inland lake connected to Lake Superior suffers from high concentrations of mercury leading to fish consumption advisories that affect members of the Keweenaw Bay Indian Community who use it as a traditional spear fishing site. This poster examines factors that influence the bioaccumulation of mercury in lake food webs; we focus here on fish community as a surrogate for food web structure. Using existing data for multiple lakes in the western Upper Peninsula, we developed an empirical relationship between lake characteristics and lake fish communities. We measured biological components of Torch Lake and compared these to the empirical model to test its ability to predict fish communities in lakes for which the model was not calibrated. This is one step towards building a model that can help predict mercury concentrations in other settings. As numerous lakes across the region have similar problems with mercury contamination, our findings will help local residents determine how much fish can be consumed safely. Keywords: Mercury, Bioaccumulation, Food chains. ALARCON, M.A. and MAIGRET, J., Taubman College of Architecture & Urban Planning, University of Michigan, Ann Arbor, MI. Visualizing the Dynamic Shorelines of the Great Lakes. The shoreline landscapes of the Great Lakes are dynamic natural systems and an important part of the culture, economy, and ecology of the coastal communities in the region. Yet our desire to inhabit the shore also yields conflict between the built environment and the physical realities of coastal dynamics. The conservation, enjoyment and development of the shoreline over time have triggered a series of planning efforts aimed to sustainably manage these resources. This talk integrates research informed by urban planning, coastal engineering, landscape architecture and law through the use of visualization techniques. The project employs computational analysis, spatial modeling and graphic visualization techniques to enhance our understanding of the complex dynamics of Great Lakes shorelines. Through the selection of specific coastal sites, the work explores different techniques of visualization to gain knowledge of a physical and ecological system that fluctuates over space and time, and question current regulatory mechanisms defining water levels and development. These digital technologies sponsor collaborative conversations between urban planners, coastal engineers, state policy makers, architects, land owners, and local public officials to find a common language for making informed shoreland