信号处理2026，Vol.42Issue(5)：700-714,15.DOI:10.12466/xhcl.2026.05.007
基于气象雷达数据与气象预报信息的迁徙鸟群密度预测方法
Migration Bird Density Prediction Using Weather Parameters Based on Meteorological Radar Datasets
摘要
Abstract
The annual improvement in China's ecological environment leads to a continuous increase in the scale of bird activities,and the risk and incidence of civil aviation bird strikes also increase.In addition to low-altitude resident birds around airports,migratory birds pose significant threats to civil aviation safety throughout the entire flight route owing to their wide spatial distribution range and large size.Reliable methods for monitoring wide-area bird situations are re-quired for threat warning and reducing bird strike risks along the entire route.Meteorological radar systems,which have advantages like all-weather operation,large detection range,and networking capabilities,represent the best remote sensing solution for wide-area bird flock surveillance.In this study,we construct a high-dimensional feature space for bird flock targets based on meteorological radar detection data and uses data optimization and machine learning models to identify bird flock targets based on meteorological radar detection data.Based on this,a method for assessing bird flock density suitable for non-uniform spatial distribution conditions is proposed,enabling the quantitative description of the scale of bird flock activities within a specified spatiotemporal window.Based on prior information on the correlation patterns between bird activities and meteorological information,a model is constructed for mapping bird flock density with multiple meteorological parameters.By designing a reasonable data sampling method,a dataset containing bird flock density and meteorological parameters is generated,and a random forest regression model is used to establish a nu-merical regression model for bird flock density based on meteorological forecast information.Using meteorological ra-dar detection data from Beijing and Fuzhou during the spring and autumn seasons,we validated the model from two as-pects:cross-verification of radar and manual observation of bird situations.Experimental results showed that meteoro-logical parameter information can effectively estimate bird flock density,and under high activity levels,bird flock den-sity has higher prediction accuracy.This provides reliable reference information for evaluating wide-area bird strike risks and avoiding their flight routes.关键词
航空安全/气象雷达/雷达目标识别/鸟击Key words
aviation safety/weather radar/radar target recognition/bird strike分类
信息技术与安全科学引用本文复制引用
万健,刘佳,陈唯实,吴东丽,张世豪,丁萌..基于气象雷达数据与气象预报信息的迁徙鸟群密度预测方法[J].信号处理,2026,42(5):700-714,15.基金项目
国家自然科学基金(U2433211) （U2433211）
国家自然科学基金面上项目(62371018) The National Natural Science Foundation of China(U2433211,62371018) （62371018）
