A combined suspended particle and phosphorus water quality model: Application to Lake Vänern |
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| Institution: | 1. Large Lakes Observatory and Dept. of Chemistry and Biochemistry, 2205 East 5th St, University of Minnesota Duluth, Duluth, MN 55812, USA;2. Department of Chemistry and Biochemistry, University of Minnesota Duluth, USA;3. Large Lakes Observatory and Dept. of Biology, 2205 East 5th St, University of Minnesota Duluth, Duluth, MN 55812, USA;1. Department of Geology, Southern Illinois University, Carbondale, IL 62901, USA;2. Environmental Resources and Policy Program, Southern Illinois University, Carbondale, IL 62901, USA;3. Department of Geophysical Sciences, University of Chicago, Chicago, IL 60637, USA;4. Center for Advanced Radiation Sources, University of Chicago, Chicago, IL 60637, USA;5. Department of Microbiology, Southern Illinois University, Carbondale, IL 62901, USA;6. Mass Spectrometry Facility, Southern Illinois University, Carbondale, IL 62901, USA;7. Department of Natural Resources and Environmental Sciences, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA;1. Estonian Marine Institute, University of Tartu, Mäealuse 14, Tallinn 12618, Estonia;2. Tartu Observatory, Tõravere 61602, Estonia;3. Evolutionary Biology Center, Department of Limnology, Norbyvägen 18D, 75236 Uppsala, Sweden;4. Department of Aquatic Sciences and Assessment, Swedish University of Agriculture Sciences, Box 7050, 750 07 Uppsala, Sweden;1. Dept. of Earth, Ocean, and Atmospheric Science, Florida State University, Tallahassee, FL, United States of America;2. Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, FL, United States of America |
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| Abstract: | A dynamic model describing the flow of phosphorus and suspended particulate matter for large fresh water lakes is proposed and validated against data from Lake Vänern in Sweden. The model was modified to handle two separate sub-basins, but increasing the horizontal resolution further by splitting the basins into coastal area and pelagial failed, as the model fit to experimental data deteriorated. Besides, the scant reference data available for the coastal areas makes this a dubious exercise. Parameters for the nutrient dynamics in the water column required less tuning (up to 60%) than the sedimentation and sediments (up to a factor 70). The fit to experimental data is good for the periods between 1900 and 1940 and that after 1980, but is less satisfactory for the more polluted conditions in the middle of the century.The model is applied to two scenarios: increased emissions from a pulp and paper mill by the lake, and decreased phosphorus emissions achieved by a combination of effects on farmland, woodland, and rural households. These two scenarios demonstrate the usefulness of a dynamic quantitative lake water quality model. |
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