空气负氧离子浓度预报模型在旅游气象中的应用

Application of Air Negative Oxygen Ion Concentration Prediction Model in Tourism Meteorology

本文选取2017年12月至2018年11月武平县城区站和梁野山站2个观测点的空气负氧离子浓度实况资料,分析其时空变化规律及与气温、相对湿度、雨量等气象要素的相关性,并采用SPSS软件选取与日负氧离子浓度关系密切的气象要素作为回归方程的预报因子,构建了分季节负氧离子浓度预报模型。该模型在武平县旅游气象服务中得到推广应用,为武平县"中国天然氧吧"生态文明建设提供了理论依据。

This paper selects the actual data of negative oxygen ion concentration in the air at two observation points at Wuping County Urban Station and Liangyeshan Station from December 2017 to November 2018,analyzes its temporal and spatial changes and its correlation with meteorological elements such as temperature,relative humidity,and rainfall,and uses SPSS software to select meteorological elements that are closely related to the daily negative oxygen ion concentration as the predictor of the regression equation,and builds a seasonal negative oxygen ion concentration forecast model.This model has been promoted and applied in Wuping County’s tourism weather service,providing a theoretical basis for the ecological civilization construction of the"Chinese Natural Oxygen Bar"in Wuping County.