摘要
在雾霾气象条件下,传统的颗粒物质量浓度分布模型存在计算冗余度高、数据与模型之间相关性比较弱的问题,导致其存在精度不足的问题。针对这一问题,提出雾霾气象条件下颗粒物质量浓度分布模型。首先根据不同对流层和高度计算颗粒物在雾霾天气条件下的折射率,从而确定气象参数。然后计算各个参数的累计贡献率,确定模型的主元个数,并为其设置控制限。基于此,利用主元数据的特征值完成对模型的构建。实验结果表明在雾霾气象条件下,该模型的反演结果较为可靠,预报正确率高达90%以上,计算精度高于传统模型。
Under haze meteorological conditions,the traditional distribution model of particle mass concentration has the problems of high redundancy and weak correlation between data and model,leading to the problem of low accuracy.To solve this problem,a model of mass concentration distribution of particulate matter under haze meteorological conditions is proposed.Firstly,the refractive index of particulate matter in haze weather is calculated according to different troposphere and height,so as to determine the meteorological parameters.Then the cumulative contribution rate of each parameter was calculated to determine the number of principal element of the model,and set the control limit for it.Based on this,the model is constructed by using the eigenvalues of the main metadata.Experimental results show that the inversion results of this model are more reliable under haze meteorological conditions.The prediction accuracy is more than 90%,and the calculation accuracy is higher than the traditional model.
作者
段明珍
Duan Mingzhen(Shanxi Meteorological Information Center, Taiyuan 030006, China)
出处
《环境科学与管理》
CAS
2022年第4期78-82,共5页
Environmental Science and Management
关键词
雾霾气象
颗粒物质
质量浓度
分布模型
气象参数
haze meteorology
particulate matter
mass concentration
distribution model
meteorological parameters
