Journal
INTERNATIONAL JOURNAL OF MARINE ENERGY
Volume 14, Issue -, Pages 27-40Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.ijome.2016.04.002
Keywords
Extreme value; Impact; Biological monitoring; Marine renewable energy; Hydroacoustics
Categories
Funding
- National Oceanographic Partnership Program
- US Bureau of Ocean Energy Management
- National Science Foundation's Sustainable Energy Pathways Program
- Division Of Earth Sciences
- Directorate For Geosciences [1230426] Funding Source: National Science Foundation
Ask authors/readers for more resources
Tidal energy is a renewable resource that can help meet growing energy demands, but uncertainties remain about potential environmental impacts of device installation and operation. Environmental monitoring programs are used to detect impacts and are a mandatory requirement of project operating licenses in the United States. Because tidal technology is new, studies describing environmental change due to tidal devices are rare, limiting information that can be used to characterize environmental impacts for monitoring requirements. Extreme Value Analysis (EVA) was used to characterize infrequent values from monitoring studies that are potentially associated with impact, defined as relevant biological change as a consequence of human activity, at a tidal energy site. EVA was adapted for monitoring aquatic organisms in the water column using an active acoustic dataset from Admiralty Inlet, a proposed tidal energy site. First derivatives were used to identify extreme value thresholds to improve precision of EVA parameters. Return level plots, which indicate the average period that extreme values are expected to appear, and uncertainty estimates of return level predictions, were generated using Markov Chain Monte Carlo (MCMC) simulations. Managers and site developers could use EVA to characterize rare values that may be associated with impacts, and tailor monitoring programs to include operational protocols for conditions under which these events occur. (C) 2016 Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available