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Simulation of wind-driven circulation and temperature in the near-shore region of southern Lake Michigan by using a channelized model 被引量:1

Simulation of wind-driven circulation and temperature in the near-shore region of southern Lake Michigan by using a channelized model
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摘要 To enhance the efficiency of a pathogen forecasting model in the beach areas of southern Lake Michigan and to reduce the computation time, the near-shore current is approximated as a channelized flow parallel to the shorelines in clockwise or anti-clock- wise direction within the accuracy tolerance range. A channelized model with a curvilinear boundary can significantly reduce the computation effort, and at the same time achieve a good agreement between the predicted and measured water surface elevations, currents, and water temperatures. The sensitivity analysis results show that the suitable channel width for the near-shore region of southern Lake Michigan should be no less than 10 kin. The modeling results of the water temperature are much less sensitive to the channel width than those of the current velocity and the water surface elevation. The modeling results also show a close correlation between the speeds of the wind and the near-shore current. The current may fully respond the wind stress with a time lag of several hours. The correlation may provide an approximate estimation of the lake circulation under some wind conditions for a practical fore- casting purpose. More complex wind-current relationships need to be described with a more sophisticated hydrodynamic model. This verified model can be used for the pathogen forecasting in the near-shore regions of southern Lake Michigan in the future. To enhance the efficiency of a pathogen forecasting model in the beach areas of southern Lake Michigan and to reduce the computation time, the near-shore current is approximated as a channelized flow parallel to the shorelines in clockwise or anti-clock- wise direction within the accuracy tolerance range. A channelized model with a curvilinear boundary can significantly reduce the computation effort, and at the same time achieve a good agreement between the predicted and measured water surface elevations, currents, and water temperatures. The sensitivity analysis results show that the suitable channel width for the near-shore region of southern Lake Michigan should be no less than 10 kin. The modeling results of the water temperature are much less sensitive to the channel width than those of the current velocity and the water surface elevation. The modeling results also show a close correlation between the speeds of the wind and the near-shore current. The current may fully respond the wind stress with a time lag of several hours. The correlation may provide an approximate estimation of the lake circulation under some wind conditions for a practical fore- casting purpose. More complex wind-current relationships need to be described with a more sophisticated hydrodynamic model. This verified model can be used for the pathogen forecasting in the near-shore regions of southern Lake Michigan in the future.
出处 《Journal of Hydrodynamics》 SCIE EI CSCD 2013年第1期97-111,共15页 水动力学研究与进展B辑(英文版)
基金 supported by the State key Laboratory of Hydroscience and Engineering of Tsinghua University(Grant Nos.Sklhse-2007-B-03,2011-KY-4)
关键词 near-shore channelized WIND hydrodynamic model near-shore, channelized, wind, hydrodynamic model
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  • 1GRANT S. B., SANDERS B. F. Beach boundary layer: A framework for addressing recreational water quality impairment at enclosed beaches[J]. Environmental Science and Technology, 2010, 44(23): 8804-8813.
  • 2NATIONAL RESEARCH COUNCIL (U.S.). COMMI- TTEE ON INDICATORS FOR WATERBORNE PAT- HOGENS. Indicators for waterborne pathogens[M]. Washington DC, USA: National Academies Press, 2004.
  • 3THOMPSON A., GUO Y. and MOIN S. Uncertainty analysis of a two-dimensional hydrodynamic model[J]. Journal of Great Lakes Research, 2008, 34(3): 472- 484.
  • 4ATKINSON J. F., EDWARDS W. J. and FENG Y. Physical measurements and nearshore nested hydro- dynamic modeling for Lake Ontario nearshore nutrient study[J]. Journal of Great Lakes Research, 2012, 38(4): 184-193.
  • 5LEON L. F., SMITH R. E. H. and HIPSEY M. R. et al. Application of a 3D hydrodynamic-biological model for seasonal and spatial dynamics of water quality and phy- toplankton in Lake Erie[J]. Journal of Great Lakes Research, 2011, 37(1): 41-53.
  • 6SHENG J., RAO Y. R. Circulation and thermal stru- cture in Lake Huron and Georgian Bay: Application of a nested-grid hydrodynamic model[J]. Continental Shelf Research, 2006, 26(12-13): 1496-1518.
  • 7HALL S. R., PAULIUKONIS N. K. and MILLS E. L. et al. A comparison of total phosphorus, chlorophyll a and zooplankton in embayments, nearshore, and off- shore habitats of Lake Ontario[J]. Journal of Great Lakes Research, 2003, 29(I): 54-69.
  • 8CHEN C., JI R. and SCHWAB D. J. et al. A model study of the coupled biological and physical dynamics in Lake Michigan[J]. Ecological Modelling, 2002, 152(2-3): 145-168.
  • 9TOMLINSON L. M., AUER M. T. and BOOTSMA H. A. et al. The Great Lakes Cladophora model: Develop- ment, testing, and application to Lake Michigan[J]. Journal of Great Lakes Research, 2010, 36(2): 287- 297.
  • 10BELETSKY D., SCHWAB D. J. and ROEBBER P. J. et al. Modeling wind-driven circulation during the March 1998 sediment resuspension event in Lake Michigan[J]. Journal of Geophysical Research, 2003, 108(C2): 3038.

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