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Digital Imaging and Remote Sensing Laboratory ALGE Modeling and Data Needs ALGE Modeling and Data Needs Dr. Anthony Vodacek Nina Raqueno Yan Li Center for Imaging Science Rochester Institute of Technology

Digital Imaging and Remote Sensing Laboratory ALGE Modeling and Data Needs Dr. Anthony Vodacek Nina Raqueno Yan Li Center for Imaging Science Rochester

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Digital Imaging and Remote Sensing Laboratory

ALGE Modeling and Data NeedsALGE Modeling and Data Needs

Dr. Anthony VodacekNina Raqueno

Yan Li

Center for Imaging ScienceRochester Institute of Technology

Digital Imaging and Remote Sensing Laboratory

Remote imagery and ground truth

ObjectiveObjective

3DHydrodynamic

Model

Spatial dataModel output

Geo-referenced site specific•Bathymetry•Hourly weather data•Inflow and outflow

Digital Imaging and Remote Sensing Laboratory

Bathymetry Grid for Conesus LakeBathymetry Grid for Conesus Lake

•Coarse bathymetry will be used for full lake model•But improved resolution will be needed for each study site

Digital Imaging and Remote Sensing Laboratory

Bathymetry MapperBathymetry MapperInexpensive method to map nearshore bathymetryInexpensive method to map nearshore bathymetry

•GPS

•FishFinder

•RIT Datalogger

Digital Imaging and Remote Sensing Laboratory

Bathymetry MapperBathymetry Mapper Test Site Test Site

Old Orchard Cove

meters

Digital Imaging and Remote Sensing Laboratory

Nearshore bathymetry Nearshore bathymetry contourscontours meters

Digital Imaging and Remote Sensing Laboratory

Previous Study of the Niagara PlumePrevious Study of the Niagara Plume

6 hours 12 hours 18 hours 24 hours

Digital Imaging and Remote Sensing Laboratory

Future Work

• Data Needs

• Modeling Work

Digital Imaging and Remote Sensing Laboratory

Data NeedsData Needs

• Key sites• Sedimentation rates• Macrophyte canopy• Weather (winds, solar irradiance, etc.)• High resolution bathymetry (lake level) • Water temperatures (shelf vs. open lake)• GIS data format (compatibility) and layers• Stream inflows and outflows• Radiosonde data (best station)

Digital Imaging and Remote Sensing Laboratory

Modeling WorkModeling Work- Modification of the models- Modification of the models

• Macrophyte - affect on flow direction and velocity • Sediment transportation - sediment rates

Digital Imaging and Remote Sensing Laboratory

Physical Resuspension, Deposition, and Physical Resuspension, Deposition, and Settling of SedimentsSettling of Sediments

Mechanisms of sediment dispersion include:

• Convection and turbulent diffusion• Stream loading• Gravitational settling• Physical resuspension and disposition at the sediment-water interface.

Digital Imaging and Remote Sensing Laboratory

Physical Resuspension, Deposition, and Physical Resuspension, Deposition, and Settling of SedimentsSettling of Sediments

The sedimentation rates are dependent on:

• The bottom shear stress due to the combined action of waves and currents

• Sediment composition and water content

Digital Imaging and Remote Sensing Laboratory

ReferencesReferences

1. Alfred J. Garrett, John M. Irvine, and Amy D. King, Application of Multispectral Imagery to Assessment of a Hydrodynamic Simulation of an Effluent Stream Entering the Clinch River, Photogrammetric Engineering & Remote Sensing, Vol. 66, No. 3

2. Richard L.Miller, and James F. Cruise, Effects of Suspended Sediments on Coral Growth: Evidence

from Remote Sensing and Hydrologic Modeling, Remote Sensing Environment, 53:177 – 187 (1995)

Digital Imaging and Remote Sensing Laboratory

References (Continued)References (Continued)

3. T. Fischer-Antze, T. Stoesser, and N.R.B. Olsen, 3D numerical modeling of open-channel flow with submerged vegetation

4. Y. Peter Sheng, W.Lick, The Transport and Resuspension of Sediments in a Shallow Lake, Journal of Geophysical Research, Vol. 84, NO. C4