摘要
长隧道内挥发性有机化合物污染预测具有非平稳性,为了提高预测准确性,需要进行污染排放因子的准确估计,提高污染排放预测评估的准确性,提出基于多维参量联合估计的长隧道内挥发性有机化合物污染的排放因子估计方法。长隧道内挥发性有机化合物污染分布的关联规则特征量,采用线性统计回归分析方法进行有机化合物污染排放因子的参量联合估计,结合相关性检测和统计回归分析方法,实现长隧道内挥发性有机化合物污染的排放因子估计和预测污染量。
The pollution prediction of volatile organic compounds in the long tunnel is non-stationary.In order to improve the accuracy of the prediction,the accurate estimation of the pollution emission factors is needed and the accuracy of the pollution emission prediction evaluation is improved.The emission factor estimation of the volatile organic compounds in long tunnel based on the multidimensional parameter joint estimation is proposed.Method.The correlation rule characteristic of the pollution distribution of volatile organic compounds in the long tunnel,the linear statistical regression analysis method is used to estimate the parameters of the pollutant emission factors of organic compounds,and the emission factors of the volatile organic compounds in the long tunnel are estimated by the method of correlation detection and statistical regression analysis.
作者
安笑静
An Xiaojing(Research Institute for National Defense Engineering,Academy of Military Science PLA China,Beijing 100036,China)
出处
《环境科学与管理》
CAS
2018年第12期50-53,共4页
Environmental Science and Management
关键词
长隧道
挥发性有机化合物
排放因子
污染预测
long tunnel
volatile organic compounds
emission factors
pollution prediction