Applications and case studies

Columbia River estuary and plume

[1]

SURA

Research Team VIMS: Harry Wang, Yi-Cheng Teng, Yan-qiu Meng, Joseph Zhang
OHSU: Joseph Zhang

Projection description

SELFE is being used in an IOOS sponsored super-regional testbed for coastal inundation [2], led by Dr. Rick Luettich (UNC). The testbed focuses on two coastal regions that are prone to inundation hazard: Gulf of Mexico and Gulf of Maine.

Tsunami

Research Team Joseph Zhang, OHSU and VIMS

Projection description

SELFE has been certified by National Tsunami Hazard Program (NTHMP) as a tsunmai inundation model, after passing various benchmarks stipulated by NOAA [3]. It has been used to generate official inundation maps for the state of Oregon, spearheaded by OR Department of Geology ad Mineral Industries (DOGAMI) [4], under the auspice of NTHMP.

Sample images Fig. 1 is a sample inundation map for Cannon Beach OR.

Fig. 1 Tsunami hazard map for Cannon Beach OR, generated from SELFE (c/o DOGAMI)

Portuguese coastal systems

There are 3 related projects for this system.

1. A nowcast-forecast system for for Portuguese coastal systems
   Research Team
   LNEC: Anabela Oliveira, André Fortunato, Marta Rodrigues, Alberto Azevedo, João Palha Fernandes
   OHSU: António Melo Baptista, Joseph Zhang, Bill Howe, Paul J. Turner, Charles Seaton
   Project description
   The goal of this project is to integrate complementary research strengths at the two institutions towards the development of a nowcast-forecast system for water quality prediction in estuarine and coastal waters. The Portuguese partners will provide the water quality models and the American institution will provide the innovative nowcast-forecast technology.
   Web site
   [5]
2. Morphodynamics Research Team
   Project description
   
   Web site
   [6]
3. Towards operational forecasting of ecosystem dynamics: Benchmarking and Grid-enabling of an ecological model (BGEM) Research Team
   LNEC: Anabela Oliveira, André Fortunato, Marta Rodrigues and João Palha Fernandes
   CMOP: António Melo Baptista, Joseph Zhang, Bill Howe, Charles Seaton, Paul J. Turner
   Project description
   This proposal aims to integrate complementary research strengths at the two institutions to improve and validate a sophisticated ecological modeling system for operational forecasting of ecosystem dynamics based on grid computing resources. The Portuguese partner will provide the ecological model and the expertise on grid-enabling of numerical models. The American partner will provide the expertise on parallel computing and the benchmark for validation and inter-model comparison.
   
   

   al overview of the ecological model ECOSELFE (Rodrigues, 2008)
   
   

   Web site
   [7]

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Development and Application of Coupled Hydrodynamicand Water Quality Models in the Chesapeake Bay Region

Research Team

Virginia Institute of Marine Science: Junzheng Zhu and Harry Wang [8]

Projection description

The Chesapeake Bay and the Coastal Bays of the Maryland/Virginia Atlantic shore are highly valuable and productive ecosystems that are increasingly threatened by degraded water quality and loss of habitat due to both anthropogenic and natural disturbances.

In an effort to reverse this trend, federal and state governments have implemented a Total Maximum Daily Load (TMDL) program to control point source and non-point source pollution in each watershed.

In order to quantify these controls and better understand cause and effect relationships, the Virginia Institute of Marine Science is developing numerical hydrodynamic and water quality models and linking them together as a tool for predicting and measuring success of the TMDL effort.

Virginia Institute of Marine Science is involved in two TMDL projects in the Chesapeake Bay region:

1. TMDL scenario development and implementation for the Maryland and Virginia Coastal Bays system.
2. Impact on localized water quality resulting from allocation of nutrient loads to dredged material contaminant facilities in Baltimore Harbor.

Both projects involve coupling SELFE and ICM (Integrated Compartment Model).

Sample images

Fig. 2 shows some sample results.

Fig. 2 SELFE-ICM for Maryland coast and bay