Quantitative Bird Activity Characterization and Prediction Using Multivariable Weather Parameters and Avian Radar Datasets
نویسندگان
چکیده
Bird strikes are a predominant threat to aviation safety, especially in airport airspace. Effective wildlife surveillance methods required for the harmonious coexistence of management and friendly ecology. Existing works indicate close relationship between bird activities weather. The relevance activity weather is favorable intuitive understanding ecological environments providing constructive references. This paper introduces characterization forecasting method based on information. modeled quantified into different grades. Their with parameters first explored independently support multivariable study. Two groups machine learning strategies adopted test their feasibility prediction. Radar datasets from diurnal nocturnal study areas constructed an avian radar system deployed at airport. Experimental results verify that both could achieve information acceptable accuracy. random forest model better choice its robustness adjustability feature inconsistencies. Weather deviation airspace ground measurement factor limiting prediction data sufficiency dependency discussed. reasonability proposed modeling method; more improvements accuracy necessary further elevate application significance model.
منابع مشابه
Monitoring bird migration by weather radar
Spatiotemporal information on bird migration is of invaluable use to scientists and society alike, but so far no sensor networks have been established that can monitor bird movement continuously over large areas. In aviation bird migration information is important for improving flight safety. Especially military low level flying has a high risk of en-route bird strikes and spatial bird migratio...
متن کاملDistributed Quantitative Precipitation Forecasting Using Information from Radar and Numerical Weather Prediction Models
The benefits of short-term (1–6 h), distributed quantitative precipitation forecasts (DQPFs) are well known. However, this area is acknowledged to be one of the most challenging in hydrometeorology. Previous studies suggest that the ‘‘state of the art’’ methods can be enhanced by exploiting relevant information from radar and numerical weather prediction (NWP) models, using process physics and ...
متن کاملShort-term Prediction of Weather Parameters Using Online Weather Forecasts
While people need to know tomorrow’s weather to decide suitable activities and precautions, so do the “intelligent” building management systems. The accuracy of the short-term prediction of the ambient conditions is particularly import for the development of predictive control strategies. Although the shortterm prediction methods for outside air temperature have been extensively studied, reliab...
متن کاملQuality Assessment of Weather Radar Wind Profiles during Bird Migration
Wind profiles from an operational C-band Doppler radar have been combined with data from a bird tracking radar to assess the wind profile quality during bird migration. The weather radar wind profiles (WRWPs) are retrieved using the well-known volume velocity processing (VVP) technique. The X-band bird radar performed range–height scans perpendicular to the main migration direction and bird den...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Aerospace
سال: 2023
ISSN: ['2226-4310']
DOI: https://doi.org/10.3390/aerospace10050462