【摘要】 通过对城市公路及隧道径流污染指数的实时超前预测,提高对污染的监测和治理能力,提出一种基于指数平滑技术的城市公路及隧道径流污染超前预测模型。构建城市公路及隧道径流污染指数序列模型,采用指数序列特征重构技术进行城市公路及隧道径流污染指数序列构建,采用模糊指向性聚类方法对提取的城市公路及隧道径流污染指数特征值进行聚类处理,分析城市公路及隧道径流污染序列在污染指数分布空间中数据特征结构,根据污染指数分布特征进行线性结构重组,采用指数平滑方法进行城市公路及隧道径流污染的规则性调度,实现城市公路及隧道径流空间污染的超前预测。更多还原

【Abstract】 Based on the real-time prediction of urban highway and tunnel runoff pollution index and the improvement of pollution monitoring and control ability,a model of urban highway and tunnel runoff pollution prediction is proposed based on exponential smoothing technology. The pollution index series model of urban highway and tunnel runoff is constructed,and the pollution index series of urban highway and tunnel runoff is constructed by using exponential sequence reconstruction technology. Fuzzy directional clustering method is used to cluster the characteristic values of runoff pollution index of urban highway and tunnel runoff,and the data characteristic structure of pollution sequence of urban highway and tunnel runoff in the distribution space of pollution index is analyzed. According to the distribution characteristics of pollution index,the linear structure is reorganized. The regular regulation of urban highway and tunnel runoff pollution is carried out by using exponential smoothing method so that the spatial pollution of urban highway and tunnel runoff can be predicted ahead of time.更多还原