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Scenic Perceptions of the Visual Effects of Wind Farms on South Australian Landscapes
Author(s) -
LOTHIAN ANDREW
Publication year - 2008
Publication title -
geographical research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.695
H-Index - 47
eISSN - 1745-5871
pISSN - 1745-5863
DOI - 10.1111/j.1745-5871.2008.00510.x
Subject(s) - wind power , geography , government (linguistics) , quality (philosophy) , perception , offshore wind power , environmental resource management , environmental planning , environmental science , engineering , psychology , philosophy , linguistics , epistemology , neuroscience , electrical engineering
A survey of the visual effects of wind farms was undertaken in South Australia, with the aim of quantifying the impact of wind farms on the perceived scenic quality of landscapes. In the study a total of 311 participants assessed the scenic quality of a photographed landscape in 68 coastal and inland locations where wind farms could be located, both without wind farms and with wind farms digitally added to the scene. A key finding of the study was that wind farms generally had a negative effect on landscapes of higher scenic quality but a positive effect on landscapes of lower scenic quality. The negative visual effects of a wind farm did not reduce appreciably with distance. White, blue or grey coloured turbines were preferred over tan or rainbow hues, but this finding was based on a small number of scenes. Limitations of the study included using static views of wind farms and having an insufficient number of scenes to assess the influence of the number of turbines on scenic quality ratings. The study concluded that wind farms should avoid areas of higher perceived scenic quality, particularly on the coast, and be located in areas of lower scenic quality. The study adds to the growing body of international research on community attitudes to wind farms, and contributes useful knowledge for future planning of wind farms in Australia. These research results should assist communities, government agencies and the wind energy industry and improve the planning and design of wind farms by taking community perceptions into account.