安徽农业科学Issue(36)：17695-17697,3.
基于模糊隶属函数的大雾短时预报方法
Short-term Fog Forecasting Based on Fuzzy Membership Function
万静 1周平2
作者信息
- 1. 民航安徽空管分局,安徽合肥 230051
- 2. 安徽农业大学,安徽合肥 230034
- 折叠
摘要
Abstract
Selecting ground hourly observation meteorological data around Luogang Airport during 2010 - 2011, several fuzzy membership functions of annual, seasonal, monthly, short-term temperature increasing and deceasing channel were established; according to observation data 3 hours before fog, the humidity and visibility variation trend were analyzed; combining temperature channel information and variation trend of future humidity and visibility to predict whether the fog would happen in three hours or not. Finally, ground data during 2006 - 2009 showed that the fog occurrence in the next three hours predicted by the method reached an accuracy at 92.77% , TS scored 0. 828. The short-term fog forecasting method based on fuzzy membership function is efficient.关键词
大雾/短时预报/模糊隶属函数Key words
Fog/ Short-term forecasting/ Fuzzy membership function分类
农业科技引用本文复制引用
万静,周平..基于模糊隶属函数的大雾短时预报方法[J].安徽农业科学,2012,(36):17695-17697,3.
