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CONTROL OF BIRDS AND OTHER WILDLIFE AT AIRPORTS Aga M3-13 Bird migration enroute…. Photo Tapani Kuoksa AIP ENR 5.6-1.

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Presentation on theme: "CONTROL OF BIRDS AND OTHER WILDLIFE AT AIRPORTS Aga M3-13 Bird migration enroute…. Photo Tapani Kuoksa AIP ENR 5.6-1."— Presentation transcript:

1 CONTROL OF BIRDS AND OTHER WILDLIFE AT AIRPORTS Aga M3-13 Bird migration enroute…. Photo Tapani Kuoksa AIP ENR 5.6-1

2 Bird collisions are worldwide and costs rise up to 1-2 billion €/ year. HW320 and effect of bird collision Jarmo Koistinen FMI

3 Migration forecast (E) Estimated intensity of migration (forecast) is obtained daily from E = M × S = (P+N)×S, where E is the number of individuals crossing a latitude in Finland/ migration event (day) M is the number of individuals ready for departure in the takeoff region consisting of two groups of birds i.e. P (delayed ”storage”) and N (climatological amount). M decreases towards north. S is takeoff region weather factor, 0 < S < 1, e.g. when all take off S=1, when 50 % S=0.5, when none S=0.

4 Weather factors (S) Several weather factors modulate migration: S = U × D × V × H × R × L × K U is wind speed D is wind direction V is visibility H is cloud height and coverage R is precipitation intensity and type (snow, rain) L is snow and ice cover K is convection index (thermals) Each factor has a specific statistical influence on 8 migration subgroups.

5 Example: Wind speed Migration intensity decreases in strong winds – also in tailwind – as mechanical turbulence becomes too risky for takeoff. Speed at 10 m (m/s)Factor U 0-81 9-110.8 12-160.2 17-0

6 On left side: strong migration during spring time on right side strong migration during autumn. Example of favourable weather for migration

7 Weather radars in Finland

8 Bird migration in weather radar


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