摘要
通过对高青单站2007—2016年大雾观测资料进行统计分析,发现高青单站大雾季节变化和日变化明显。大雾发生期间随着大雾强度的增加,相对湿度增大,温度3 h变化量减小,温度露点差减小,气压3 h变化量减小,风速减小。通过回归方程找出不同强度等级大雾的预报因子,雾的预报因子为相对湿度、温度露点差;浓雾的预报因子为相对湿度、温度、温度露点差;强浓雾的预报因子为温度3 h变化量、气压3 h变化量。根据各预报因子建立不同强度等级大雾的预报模型。
Based on the statistical analysis of heavy fog observed at Gaoqing single station from 2007 to 2016, the seasonal and diurnal variations of heavy fog at Gaoqing single station were obvious.During the heavy fog,with the increase of fog intensity,relative humidity increased,the change of temperature at 3 hours decreased, the dew point deficit of temperature decreased, the change of air pressure in 3 hours decreased, and the wind speed decreased.The prediction factors of fog intensity of different intensity levels were found by regression equation.The forecast factors of fog were relative humidity and temperature dew point deficit.The forecast factors of dense fog were relative humidity, temperature and temperature dew point deficit.The prediction factors of strong fog were 3-hour temperature change and 3-hour atmospheric pressure variation.A prediction model of different intensity grade heavy fog was established according to the prediction factors.
作者
孙燕玲
张宁瑾
王健
张兵
SUN Yan-ling;ZHANG Ning-jin;WANG Jian;ZHANG Bing(Zibo City Meteorological Station ofShandong Province, Zibo Shandong 255048;Qinghai Meteorological Observatory)
出处
《现代农业科技》
2019年第5期179-183,共5页
Modern Agricultural Science and Technology
关键词
大雾
相关性
气象要素
精细化分级预报
山东高青
heavy fog
correlation
meteorological element
refined classification forecast
Gaoqing Shandong
