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Northwest National Marine Renewable Energy Center. Brian Polagye University of Washington. Standards and Protocols for Environmental Assessment Renewable Ocean Energy and the Marine Environment. November 5, 2010. Environmental Acoustics Electromagnetic Fields Benthic Ecosystems
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Northwest National Marine Renewable Energy Center • Brian Polagye • University of Washington • Standards and Protocols for Environmental Assessment • Renewable Ocean Energy and the Marine Environment November 5, 2010
Environmental Acoustics Electromagnetic Fields Benthic Ecosystems Sediment Transport Social Fisheries/Crabbing Outreach/Engagement Existing Ocean Users Local/State Economy Technical Testing/Demonstration Site and Resource Characterization Survivability/Reliability Device/Array Optimization Virtual Center Organization
Advancing Technology Readiness Technology Testing Emerging technical approaches Economic Effectiveness Aligning technical feasibility with cost Hydrokinetic Devices Environmental Impacts Monitoring can have impacts - and - Environmental Assessment Survivability Extreme environmental loads Reliability Maintenance intervals
Monitoring Platform Evaluation Shipboard Survey R/V Jack Robertson Land Observation AIS Ship Tracks Seabed Instrumentation Measurement Tripod
Baseline Environmental Characterization Sediment Sampling Grey Whale Tracking Physical Environment Acoustics Hydrodynamics Water Quality Trawls
Evaluating Environmental Effects Recording Hydrophone Estimated Effect CPod Potential for Behavioral Change Automatic Identification System Species Behavior Environmental Uncertainty Doppler Profiler Data Synthesis and Analysis Data Collection
Components of Environmental Protocols • Clearly defined objectives • What hypothesis is being tested? • Data collection • Hardware selection and configuration • Sampling scheme • Data analysis and interpretation • Development will be iterative • Improve based on use • High degree of collaboration required Aspects of protocols will be site and technology specific
Why Protocols Matter: Ambient Noise Maximum noise levels 10 dB lower Measurements excluding sensor-induced pseudo-noise Mean levels >5 dB lower All measurements Different analysis leads to different conclusions
Information Sharing • Lack of data sharing between projects often cited as a barrier to resolving environmental uncertainty Is this practical? • Volume of raw data can be staggering • Context of collection matters Distinguish between data and information
Thank You • This material is based upon work supported by the Department of Energy under Award Number DE-FG36-08GO18179. • More information available at: • Wave: http://nnmrec.orgeonstate.edu • Tidal:http://depts.washington.edu/nnmrec