The information system has been designed to ensure the analysis of information on the monitoring results of the wind power plant territory using the route census method. The database contains 48 fields, reflecting the monitoring results of birds’ behavior in the territory of WPP and processing the initial data. The analysis of distribution of birds in the territory of the "Primorsk-1" WPP according to the types of migration, direction of flight and altitude characteristics has been carried out. The total number of registered birds was 8927 specimens of 72 species, of which 802 specimens of 11 species were referred to the transit type, 2511 specimens of 32 species, 5614 specimens of 60 species were on the ground. Most birds (63%) belong to the ground type. 28% of birds were registered in the forage group, 9.0% of birds were flying in transit. The greatest activity of birds is manifested in the autumn migration season, when the transit group accounts for 77% of all annual transit flights. The proportion of birds of forage and ground types, registered in autumn, is 68% and 74%, respectively, of the total number of birds registered in autumn. In the group of ground birds, the overwhelming majority of specimens belong to the period of autumn migration (4141 or 74%). The least number was observed in the winter season (317 birds or 5.6%). The model makes it possible to obtain information on the probability of different species of bird collisions with wind wheels and the number of collisions with turbines, depending on the flight characteristics of birds, parameters of wind parks and observation conditions in different seasons. In the risk zone of birds’ interaction with turbines, only specimens of one species, were observed. The calculated probability of one bird collision when passing through the wind wheel is 0.19. The anticipated number of bird collisions with turbines during one year of the "Primorsk-1" wind park functioning is in the range of 5.6÷6.7 specimens.
Forecasting of the Number of Bird Collisions with Turbines in the Territory of Pre-Azov Region Wind Park Using the Route Census Method