Draft National Wind Farm Development Guidelines - July 2010
Draft National Wind Farm Development Guidelines - July 2010
Draft National Wind Farm Development Guidelines - July 2010
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D.4.3 Planning Application<br />
The following tasks are likely requirements of any assessment process.<br />
Quantitative assessment of risk of fatal collisions for key species<br />
If preliminary assessments outlined in previous phases determine there is potential for<br />
mortalities of key species resulting from interactions with turbines, then investigation to<br />
quantify this risk will be required as follows.<br />
Principal question:<br />
Purpose:<br />
Methods:<br />
What is the quantitative risk to key species of collision mortalities<br />
To quantify the inherent risk to key species of the wind farm as proposed.<br />
For this stage, the studies will include:<br />
• qualitative<br />
<br />
Geographic Information Systems – habitat models<br />
behavioural studies<br />
• quantitative<br />
<br />
<br />
<br />
population surveys<br />
collection of data for estimation of annual number of flights at risk of<br />
collision<br />
collision risk modelling to predict potential mortalities<br />
The definition of exactly which species are “key species” will need to be confirmed by the<br />
relevant authorities before this task can be finalised.<br />
Habitat modelling, mapping of territories and/or mapping activity patterns of key species<br />
at the site should be undertaken to gain insight into whether parts of the site pose greater<br />
risk of collision than others. Results may have application in design of a turbine layout to<br />
avoid or reduce impacts. (see also Assessment of any reduction or mitigation of impacts<br />
that can be achieved, page 128).<br />
Risk modelling approaches can range from the use of sophisticated mathematical models<br />
to qualitative evaluation and the approach used will depend on the availability of<br />
information. Collision modelling is the preferred method of assessing risk and is likely to be<br />
required by the relevant authorities when sufficient information is obtainable.<br />
When a numerical assessment of potential impact on particular species is undertaken, the<br />
appropriate approach will be use of a peer-reviewed mathematical risk model. A number<br />
of such models are in use internationally. This type of collision risk modelling is a predictive<br />
mechanism used to quantify the potential annual number of flights made by key species<br />
that are at risk of collision and may result in bird or bat mortalities. Inputs required to<br />
undertake such modelling include standardised bird or bat utilisation data (quantified as<br />
outlined below); number and geographic layout of turbines; and dimensions and other<br />
parameters of turbines. Pre-requisites for an outcome measured in terms of an expected<br />
annual number of mortalities, are both the number of individuals that might interact with<br />
turbines and the estimated number of their flights that are at risk of collision.<br />
The ultimate justification of any mathematical model is how well its predictions are verified<br />
by measured outcomes. To date there are no examples of Australian wind farms where<br />
both pre-construction bird utilisation studies and post-construction mortality monitoring<br />
have been undertaken sufficiently rigorously to confirm the accuracy of the relevant<br />
collision risk model with a high degree of confidence. In the absence of such verification,<br />
the predictions of any collision risk model should be evaluated against any other available<br />
indicators of likely mortalities, such as experience with comparable bird species at existing<br />
<strong>Draft</strong> <strong>National</strong> <strong>Wind</strong> <strong>Farm</strong> <strong>Development</strong> <strong>Guidelines</strong> – 2 <strong>July</strong> <strong>2010</strong> Page 125