Mapping the Unheard: Analyzing Tradeoffs Between Fisheries and Offshore Wind Farms Using Multicriteria Decision Analysis

Author:

Song Zhenlei1ORCID,Chapman Piers2,Tao Jian3,Chang Ping2,Gao Huilin4,Liu Honggao5,Brannstrom Christian1,Zhang Zhe6ORCID

Affiliation:

1. Department of Geography, Texas A&M University, USA

2. Department of Oceanography, Texas A&M University, USA

3. Department of Visualization, Texas A&M University, USA

4. Department of Civil and Environmental Engineering, Texas A&M University, USA

5. High Performance Research Computing (HPRC), Texas A&M University, USA

6. Department of Geography and Department of Electrical and Computer Engineering, Texas A&M University, USA

Publisher

Informa UK Limited

Reference41 articles.

1. AWS Truepower/NREL. 2011. Annual average offshore wind speed (m/s) at a 90m height Pacific Coast U.S. Accessed February 24 2022. https://databasin.org/datasets/6481496a7b0241569855485ebb26ae33/.

2. Bureau of Ocean Energy Management (BOEM). 2018. Request for interest in California offshore wind. https://www.boem.gov/Request-for-Interest-in-California-Offshore-Wind.

3. California Department of Fish and Wildlife. 2022. Final California commercial landings. Data set. https://wildlife.ca.gov/Fishing/Commercial/Landings#260042586-2019.

4. California Energy Commission. 2019. Offshore renewable energy. Accessed December 20 2022. https://www.energy.ca.gov/programs-and-topics/topics/renewable-energy/offshore-renewable-energy.

5. Multi-criteria selection of offshore wind farms: Case study for the Baltic States

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