摘要
利用高空环流、海温资料和地面气象资料对上海地区水稻褐飞虱的发生期和发生量组建了长、短期结合的 5个预测模型。它们分别是褐飞虱田间始发期预测模型、灯诱始发期预测模型、高峰值出现时间预测模型、高峰虫量预测模型以及褐飞虱自然观察圃密度 (百穴虫量 )模拟模型。这些预测模型配套组合使用 ,可以判断上海地区每年褐飞虱发生的时间及严重程度 。
The data of upper level circulation,sea surface temperature and surface meteorological elements are used in this paper to construct 5 forecasting models of long,medium and short ranges for the incidence date and insect quantity of planthopper in Shanghai.There are field beginning date forecasting model,lamp-trap beginning date forecasting model,peak quantity date forecasting model,peak inset quantity forecasting model,and natural observation garden inset density forecasting model.By comprehensively using those model,the incidence date and damage levels of planthopper in Shanghai can be predicted,thus providing a real time basis for prevention and elimination of planthopper.
出处
《南京气象学院学报》
CSCD
北大核心
2002年第3期366-372,共7页
Journal of Nanjing Institute of Meteorology
基金
上海市科技兴农攻关项目"上海市主要粮食作物重大病虫害预测及防治决策系统"
