Salish Sea nutrient loading scenarios modeling for the management of key species and habitat recovery: the value of new tools and analysis available to managers

Streaming Media

Presentation Abstract

One of the key ongoing uses of the Salish Sea Model (SSM) is an extensive effort quantifying the sources, processing, and impacts of nutrient loading on water quality. Model outputs are used by the State of Washington to calculate Dissolved Oxygen (DO) impairment for areas where the standard is applied. This provides a tremendous opportunity for the wider management community to now leverage ongoing efforts to further key species and habitat management and recovery goals, such as Salmon and Eel Grass recovery. Towards this end, the Salish Sea Modeling Centre (SSMC) - a University of Washington/Pacific Northwest National Laboratory initiative - was started with a mission to provide access and use of Salish Sea basin wide models to the wider community. The center is working to extend the analysis and tools available for SSM outputs. These advances enable modelers to provide a richer set of information to decision makers across three areas: First, temporal analysis, with readily accessible visualizations of daily through to seasonal outputs. Second, spatial detail and depth integration, including transects for each basin and key inlets of interest. Finally, ready access to additional phenomena of interest; accessing the underlying key mechanistic drivers of change in DO and water quality. For example, Net Primary Production, Nitrate, Turbidity, and pH, among others, are parameters relevant to wider aspects of ecosystem management such as Climate Change, and are modeled at each time step in these loading scenarios, and at each depth in a manager’s area of interest in the Salish Sea.

Session Title

Data Science 1

Conference Track

SSE1: Science for the Future

Conference Name

Salish Sea Ecosystem Conference (2022 : Online)

Document Type

Event

SSEC Identifier

SSE-traditionals-465

Start Date

26-4-2022 1:30 PM

End Date

26-4-2022 3:00 PM

Genre/Form

conference proceedings; presentations (communicative events)

Subjects – Topical (LCSH)

Marine pollution--Salish Sea (B.C. and Wash.)--Measurement; Environmental monitoring--Salish Sea (B.C. and Wash.);

Geographic Coverage

Salish Sea (B.C. and Wash.)--Environmental conditions

Rights

Copying of this document in whole or in part is allowable only for scholarly purposes. It is understood, however, that any copying or publication of this document for commercial purposes, or for financial gain, shall not be allowed without the author's written permission.

Type

Text

Language

English

Format

application/pdf

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Apr 26th, 1:30 PM Apr 26th, 3:00 PM

Salish Sea nutrient loading scenarios modeling for the management of key species and habitat recovery: the value of new tools and analysis available to managers

One of the key ongoing uses of the Salish Sea Model (SSM) is an extensive effort quantifying the sources, processing, and impacts of nutrient loading on water quality. Model outputs are used by the State of Washington to calculate Dissolved Oxygen (DO) impairment for areas where the standard is applied. This provides a tremendous opportunity for the wider management community to now leverage ongoing efforts to further key species and habitat management and recovery goals, such as Salmon and Eel Grass recovery. Towards this end, the Salish Sea Modeling Centre (SSMC) - a University of Washington/Pacific Northwest National Laboratory initiative - was started with a mission to provide access and use of Salish Sea basin wide models to the wider community. The center is working to extend the analysis and tools available for SSM outputs. These advances enable modelers to provide a richer set of information to decision makers across three areas: First, temporal analysis, with readily accessible visualizations of daily through to seasonal outputs. Second, spatial detail and depth integration, including transects for each basin and key inlets of interest. Finally, ready access to additional phenomena of interest; accessing the underlying key mechanistic drivers of change in DO and water quality. For example, Net Primary Production, Nitrate, Turbidity, and pH, among others, are parameters relevant to wider aspects of ecosystem management such as Climate Change, and are modeled at each time step in these loading scenarios, and at each depth in a manager’s area of interest in the Salish Sea.