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基于支持向量回归的 PM2. 5 浓度实时预报

Yajie ZHU,Qi LI,Junxiong HOU,Xiao FENG,Junxiang FAN

Science of Surveying and Mapping（2016）

Cited 2|Views4
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Abstract
为了研究适合于我国当前重污染天气的实时空气质量预报模型, 论文利用支持向量回归方法对北京市地面空气质量监测数据和气象数据进行分析, 构建了基于支持向量回归的 PM2. 5 浓度实时预报模型. 实验表明, 该方法能够对未来 6 日内的日均 PM2. 5 浓度以及未来 0~ 72h 内的小时级 PM2. 5 浓度进行预报, 且模型训练过程和预报过程都耗时很短, 适用于建立 PM2. 5 浓度实时预报系统.
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Key words
support vector regression,air quality,PM2.5 Concentration prediction
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