کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1052673 1484989 2016 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Avian collision risk models for wind energy impact assessments
ترجمه فارسی عنوان
مدل های ریسک تصادم پرندگان برای ارزیابی تأثیرات انرژی بادی
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
چکیده انگلیسی


• We highlighted ten models available to assess avian collision risk.
• Only 4 of the models included variability or uncertainty.
• Collision risk models have limitations and can be ‘data hungry’.
• It is vital that the most appropriate model is used for a given task.

With the increasing global development of wind energy, collision risk models (CRMs) are routinely used to assess the potential impacts of wind turbines on birds. We reviewed and compared the avian collision risk models currently available in the scientific literature, exploring aspects such as the calculation of a collision probability, inclusion of stationary components e.g. the tower, angle of approach and uncertainty. 10 models were cited in the literature and of these, all included a probability of collision of a single bird colliding with a wind turbine during passage through the rotor swept area, and the majority included a measure of the number of birds at risk. 7 out of the 10 models calculated the probability of birds colliding, whilst the remainder used a constant. We identified four approaches to calculate the probability of collision and these were used by others. 6 of the 10 models were deterministic and included the most frequently used models in the UK, with only 4 including variation or uncertainty in some way, the most recent using Bayesian methods. Despite their appeal, CRMs have their limitations and can be ‘data hungry’ as well as assuming much about bird movement and behaviour. As data become available, these assumptions should be tested to ensure that CRMs are functioning to adequately answer the questions posed by the wind energy sector.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Environmental Impact Assessment Review - Volume 56, January 2016, Pages 43–49
نویسندگان
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