mathematical modeling and hyperspectral imaging

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Mathematical modeling and Hyperspectral imaging Eli Ateljevich DWR Delta Modeling Section April 3, 2013

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Mathematical modeling and Hyperspectral imaging. Eli Ateljevich DWR Delta Modeling Section April 3, 2013. Yolo Bypass. Sacramento River. Sacramento. Tributaries. Delta Island Consumptive Use. Martinez. Tidal Surface Elevation & Water Quality. Stockton. Exports. San Joaquin River. - PowerPoint PPT Presentation

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Page 1: Mathematical modeling and  Hyperspectral  imaging

Mathematical modeling and Hyperspectral imaging

Eli AteljevichDWR Delta Modeling Section

April 3, 2013

Page 2: Mathematical modeling and  Hyperspectral  imaging

Image from USBR GIS Group

Martinez

Sacramento

Stockton

DSM2: Our 1D ModelSacramento River

San Joaquin River

Delta Island Consumptive Use

Tidal Surface Elevation & Water Quality

Inflow & water quality

Export flowTributaries

Exports

Yolo Bypass

Page 3: Mathematical modeling and  Hyperspectral  imaging

SELFE 3D Circulation Model

Page 4: Mathematical modeling and  Hyperspectral  imaging

Variables of Interest• Temperature (<50m)• Turbidity/Sediment• Bathymetry and inundated area (< 5m)• Island consumptive use: land use/hydrology • Particular constituents:– Chlorophyll/nutrients– Mercury (just askin’)

• Altimetry (time res? accuracy?)• Velocity• Salinity

Model hydrodynamics

Important model application

Page 5: Mathematical modeling and  Hyperspectral  imaging

Comparison by Yi Chao, JPL

Temperature• Fish• Nutrients• Hydrodynamics• Etc…

Page 6: Mathematical modeling and  Hyperspectral  imaging

Turbidity/Sediment

• Utilized by Smelt/Salmon– Aquatic discussion

• Mercury in Yolo

Page 7: Mathematical modeling and  Hyperspectral  imaging

Inundated Region

• Applications:– Flooding– Yolo habitat– Elevation maps

• Resolution:– Habitat: 10-20m– Elev maps < 5m

Source: MODIS

Page 8: Mathematical modeling and  Hyperspectral  imaging

Bathymetry in the Intertidal Zone• High resolution data but…• Land water interface gaps up to 40m wide• Imaging may help• Vegetation maps may help– also help with roughness

Page 9: Mathematical modeling and  Hyperspectral  imaging

Delta Island Consumptive Use

• Major uncertainty– Flow and salt/quality

• Diversions and returns• Modeled using:– Land use/crops– Hydrology

Page 10: Mathematical modeling and  Hyperspectral  imaging

Altimetry• Applications:– Storm surge + sea level rise– Initialization– Validation

• At issue:– Resolution– Accuracy (differential?)– How often?

• Can learn bathymetry from inundated area– or IA from bathymetry and altimetry

San Francisco

Page 11: Mathematical modeling and  Hyperspectral  imaging

Velocity• We are starting to use HF Radar in the Bay:– Model validation– Initialization/assimilation

Page 12: Mathematical modeling and  Hyperspectral  imaging

Salinity

• Probably not a hyperspectral item– L-band?– Indirect measurement?

• Lots of ground truth• Scale issues:– Bay: lots of water, medium PSU– Delta: small channels, < 1 PSU• But that is where the glory is, policy-wise

Page 13: Mathematical modeling and  Hyperspectral  imaging

Overarching conclusions

• The problem is multi-scale– The difficult, narrow place is where the glory is (DWR)– The Bay/estuary is needed “on the way up”

• Two goals 1) improve models and 2) enable new studies

• Real-time info is valuable for operations but …• Planning is often hypothetical and the payoff to

improving planning is big.