Inland Lakes
Blooms of blue-green algae (i.e. cyanobacteria) are temporally and spatially variable in eutrophic lakes. Algal species that constitute the blooms are also highly variable and sub-species characteristics of algae differ widely (e.g., clumping vs. non-clumping or toxin-producing vs. non-toxin producing genotypes). Because blue-green algae are often buoyant, hydrodynamic processes result in large intra-lake spatial variability in algal abundance with the potential for high inter-lake spatial correlation in bloom patterns including noxious bloom pile-ups on downwind shorelines. As a result all these factors, the ecological and public health consequences of blue-green algal blooms can be major.
An interdisciplinary approach will be used to characterize spatial/temporal dynamics of bloom development. For remote sensing technologies, we are currently developing a remote controlled model aircraft (DigiDot2) with a high precision CCD camera to sample across the lake. In addition, we are developing a real-time water imaging system (RTWIS) with aerial photogrammetry technique for monitoring water quality in eutrophic lakes under various biophysical environment. At the lake district scale, IKONOS, QuickBird, SPOT, and Landsat will be used to study blooms on lakes. To acquire in-situ and real-time data, a state-of-the-art wireless buoy, vertical profiling buoy, and the BEDS are used to measure nutrients, phytoplankton and zooplankton species densities, velocity and temperature profiles. Molecular characterization of cyanobacterial taxa are used to detect community change in response to in-situ and remote chemical and physical measurements. Some on-going research progress can be found at the Lake Mendota Enviromental Obseveratory website. Our interdisciplinary approach allows us to assess algal bloom as the synchronicity of bloom development among lakes and the spatial variability of such external drivers as weather or climate change.
Ongoing research themes address multiple aspects of water quantity and quality that are of great concerns and interests of the local authorities and Wisconsin citizens. For example one potential strategy for managing the Yahara River watershed is to maintain the hydrologic budget by discharing treated effluent released from a water treatment plant. The goal is to evaluate the water levels and examine the fate of hypolimnetic effluent discharges. Specific tasks include: (i) the hydrology and hydrodynamics of the lake; (ii) fate and transport of phosphorus in the lake; and (iii) the composition and phosphorus-liberating activity of the lake bacterial communities. We are developing a three-dimensional non-hydrostatic and stratified flow model (3DNHYS) to examine general circulation pattern, surface and internal waves and their breaking over shoaling bathymetry. The model would take into account of the effects of of temperature stratification, steep bathymetry, and wave-current interactions. In addition, the 3DNYHS model is coupled with a water quality model to examine the environmental impacts of LTER Lakes. The integrated model shows that discharge effluents would be trapped within the hyperlimnion during the summer season but could escape through the thermocline under a strorm event. Currently similar efforts, a nowcasting WISBIN system for the North Temperate Lakes and a Taiwan Nowcasting System for Yuan Yang Lake (TNS-YYL), are undertaken for selected lakes in the global ecological observatory network (GLEON).
Another on-going research is the development of the Intergrated Nowcast and Forecast Operation System (INFOS) that provides real-time measured and modeling water information for the Yahara Lakes. The effects of hydrologic, hydrodynamic and wind wave characteristics on environmental impacts of Madison Lakes such as flooding, sediment deposition, and shoreline erosion have been concerns and interests of the local authorities and Wisconsin citizens. INFOS is a community online web platform that shows real-time data including water level, discharge, temperature, and other meteorological measurements. INFOS integrates observations into models to provide spatial variation of water parameters and transport of sediments and nutrients. The present stage and future stage of lake information will be posted through the web using nowcasting and forecasting models. Our overall goal is to provide managers and researchers to assess the water levels and nutrient management strategies for the Yahara Lakes system.
Great Lakes
For Great Lakes, our project's
goal is to understand the carbon balance of Lake Superior.
This is a first attempt to close the carbon budget for one
of the Great Lakes using numerical models and data. We aim
to develop reliable estimates of lake-atmosphere CO2
fluxes on seasonal to decadal timescales and to identify
key uncertainties in the carbon budget. Additionally, this
project will contribute to efforts led by terrestrial
carbon cycle scientists to understand the regional carbon
budget. Currently we have developed a hydrodynamic model
that is linked with Google-earth to visualize circulation
and carbon transport (Circulation-Carbon-Google-Earth, CCGE).
Meteotsunamis can pose a serious threat to the Lake Michigan coast, owing to the lake’s characteristics that facilitate the formation of destructive meteotsunamis including frequent fast-moving storm fronts, resonance-promoting bathymetry, and harbors to finally amplify the wave. The most vivid historical meteotsunami on record in the Great Lakes occurred in 1954, when a squall line-induced longwave wave struck Chicago in Lake Michigan. The coast was inundated up to 50 meters inland and unexpectedly swept many fishermen off of the Montrose Harbor piers, killing seven. While the threat of meteotsunamis in Lake Michigan has been recognized, to date no infrastructure for detecting and warning of a pending meteotsunami disaster is available. Furthermore the potential hot spots in Lake Michigan that can be threatened by meteotsunamis has yet been identified and characterized. In collaboration researchers in Great Lakes Environmental Research Laboratory, we are currently implementing an observation network system to better understand the occurrence of meterotsunamis. An operational meteotsunami forecasting and warning system is also being developed to keep residents safe and avoid dangerous events.
Sponsor :
Arthur H. Frazier Fellowship
City of Madison, WI
Dane County Land and Water Resources Department
Gordon and Betty Moore Foundation
Madison Metropolitan Sewerage District
NSF-North Temperate Lakes Long-Term Ecological Research
NSF-Ocean Sciences
NSF-Environmental Biology
University of Wisconsin Sea Grant Institute, NOAA
University of Wisconsin Water Resources Institute
Wisconsin Alumni Research Foundation
Wisconsin Coastal Management Program, NOAA
Status : Active
Student Investigators:
Jordan Read (PhD), John Reimer (PhD), Josh Anderson (PhD)
Hoi Lai Tseung (MS), Madeline Magee (MS), Anastasia Gunawan (MS)
William Kasch (MS). Nikki Mohapp (Undergraduates)
Graduated: Yi-Fang Hsieh (PhD), C.C. Jay Young (PhD), Nobuaki Kimura (PhD),
Henry Yuan (PhD), Dong Yong Choi (PhD),
Sen Yan (MS), Khurran Khan (MS), John Reimer (MS),
Chris Petykowski (MS), Theresa Possley (MS)
Collabarators:
Professor Paul Hanson, Center of Limnology, UW-Madison
Professor Trina McMahon, CEE/Bacteriology, UW-Madison
Professor Steve Carpenter, Center of Limology, UW-Madison
Dr. Tim Kratz, Center of Limology, UW-Madison
Dr. Richard (Dick) Lathrop, WDNR/Center of Limology, UW-Madison
Professor Galen Mckinley, AOS, UW-Madison
Professor Ankur Desai, AOS, UW-Madison
Professor Wen-Cheng Liu and Dr. Nobuaki Kimur
Mr. Gene Clark, Coastal Engineering Specialist, NOAA-UW Sea Grant Institute
Dr. David Schwab, NOAA, Great Lakes Environmental Research Laboratory
Dr. Eric Anderson, Cooperative Institute for Limnology and Ecosystems Research
Dr. Y. Joseph Zhang, Center for Coastal Margin Observation & Prediction (CMOP)
Openings
Publications:
- Hamilton, D.P., Wu, C.H., Hsieh, Y.F., Kratz, T. K., Ice cover and thermal regime in a dimitic seepage lake under climate change, Hydrological Processes, Accepted under minor revision, 2011.
- Hsieh, Y.F., Robertson, D.M., Lathrop, R.C., and Wu, C.H., Influences of air temperature, wind, and water clarity on 100-year trends in ice cover and water temperature in a dimictic lake, Limnology and Oceanography, Accepted under revision, 2011.
- Read, J.S., Hamilton, D.P., Desai, A.R., Rose, K.C.,
MacIntyre, S., Lenters, J.D., Smyth, R.L., Hanson,
P.C., Cole, J.J., Staehr, P.A., Rusak, J.A., Pierson,
D.C., Brookes, J.D., Laas, A., Wu, C.H., Lake-size
dependency of wind shear and convection as controls on
gas exchange, Geophysical Research Letters, In Press,
2012.
- Kara, E.L., Hanson P, Hamilton, D.P., Hipsey, M.R.,
McMahon, K.D., Read, J.S., Winslow, L., Dedrick, J.,
Rose, K., Carey, C.C., Bertilsson, S., Motta Marques,
D.D., Beversdorf, L., Miller, T., Wu, C., Hsieh, Y.F.,
Gaiser, E., Kratz, T., Time-scale dependence in
numerical simulations: Assessment of physical,
chemical, and biological predictions in a stratified lake at temporal scales
of hours to months, Environmental Modeling and Software, 35, 104-121, 2012.
- Shade, A., Read, J.S., Welkie, D., Kratz, T.K., Wu, C.H., and McMahon, K.D., Resistance, resilience, and recovery: aquatic bacterial dynamics after water column disturbance. Environmental Microbiology, 13(10), 2752-2767, 2011.
- Read, J.S., Hamilton, D.P., Jones, I.D., Kohji
Muraoka, K., Winslow, L.A., Kroiss R., Wu, C.H., and
Gaiser, E., Derivation of lake mixing and stratification
indices from high-resolution lake buoy data using 'Lake
Analyzer', Environmental Modelling & Software,
1325-1336, 2011.
- Read, J.S., Shade A., Wu, C.H., Gorzalski, A., and McMahon, K.D., Gradual Entrainment Lake Inverter (GELI): A novel device for experimental lake mixing, Limnology and Oceanography: Methods, 9:14-28, 2011.
- Atilla, N., McKinley, G.A., Bennington, V. Baehr, M.,
Urban, N., DeGrandpre, M., Desai, A.R., Wu, C.H.,
Observed variability of Lake Superior pCO2, Limnology
and Oceanography,56(3), 775-786, 2011.
- Bennington V., McKinley, G.A., Kimura, N., and Wu,
C.H., The general circulation of Lake Superior: mean,
variability, and trends from 1979-2006, J. Geophysical
Research-Oceans, 115, C12015, 1-14, 2010.
- Kamarainen, A., Yuan, H.L, Wu, C.H., and Carpenter, S.R., Estimates of phosphorus entrainment in Lake Mendota: A comparison of one-dimensional and three-dimensional approaches, Limnology and Oceanography: Methods. 7, 553-567, 2009..
- Hanson, P.C. Carpenter, S.R., Kimura, N., Wu, C.H., Cornelius, S.P., Kratz, T.K., Evaluation of metabolism models for free-water dissolved oxygen methods in lakes, Limnology and Oceanography: Methods, 6, 454-465, 2008.
- Carpenter, S.R., Benson, B.J., Biggs, R., Chipman, J.W., Foley, J.A. Foley, Golding, S.A., Hammer, R.B., Hanson, P.C., Johnson, P.T.J., Kamarainen,A.M., Kratz, T.K., Lathrop, R.C., McMahon, K.D., Provencher, B., Rusak, J.A., Solomon, C.T., Stanley, E.H., Turner, M.G., Vander Zanden, M.J., Wu, C.H. and Yuan, H., Understanding regional change: Comparison of two lake districts. BioScience: 57(4), 323-335, 2007.
- Yuan, H.L. and Wu, C.H., Fully non-hydrostatic modeling of surface waves, J. of Engineering Mechanics-ASCE, T132 (4), 447-456, 2006.
- Wu, C.H. and Wanek, J.M., A low-cost, ground-based, oblique, multi-spectral imaging system for chlorophyll concentration measurements, 2006..
- Choi. D.Y. and Wu, C.H., A new efficient 3D non-hydrostatic free-surface flow model for simulating water wave motions, Ocean Engineering, 33(5-6), 587-609, 2006.
- Yuan, H.L. and Wu, C.H., An implicit 3D fully non-hydrostatic model for free-surface flows, International J. for Numerical Methods in Fluids, 46, 709-733, 2004.
- Yuan, H.L. and Wu, C.H., A two-dimensional vertical non-hydrostatic model with an implicit method for free-surface flows, International J. for Numerical Methods in Fluids. 44, 811-835, 2004.
- Wu, C.H. and Yuan, H., Efficiency and Accuracy of Non-hydrostatic modeling of free-surface flows, 434-447, 9th Estuarine and Coastal Modeling, ASCE, 2006.
- Wu, C.H. and Yuan, H.L., A fully non-hydrostatic three-dimensional model with implicit algorithm, ASCE, 8th Estuarine and Coastal Modeling, ASCE, 8th Coastal and Estuarine Modeling, ISBN: 0784407347, 2004.
- Wanek, J. M., Development of digital imaging techniques for monitoring environmental processes, Master Thesis, Civil and Environmental Engineering, UW-Madison, 2004.
- Petykowski, C., Wind wave modeling and verification on small lakes, Master Thesis, Civil and Environmental Engineering, UW-Madison, 2004.
- Possley, T., A conservative, unrestricted-time-step method for a coupled multi-dimensionsal, non-hydrostatic, free-surface flow and transport model for application to the esturine environment, Master Thesis, Civil and Environmental Engineering, UW-Madison, 2003.
Blooms of blue-green algae in Madison Lakes
Lake hydrodynamics processes
Circulation
pattern
in Lake Mendota
Transport
of effluent under a storm event
Lake Superior
circulation in google-earth
Freak wave at the Sea Cave
Meteotsunamis
