侯俊雄,李琦,朱亚杰,冯逍,毛曦

• 1:北京大学地球与空间科学学院
• 2:中国测绘科学研究院地图学与地理信息系统研究所

摘要(Abstract)：

针对我国当前重污染天气PM2.5浓度的实时预报问题,该文提出了一种基于随机森林算法的PM2.5浓度实时预报方法,并利用此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,建立了基于随机森林算法的PM2.5浓度实时预报模型。实验证明,该模型能够对72h内PM2.5浓度进行较高精度的实时预报,通过使用Spark分布式计算框架,能够有效降低算法耗时,文章基于此模型与Spark分布式计算框架建立了PM2.5实时预报系统。

关键词(KeyWords)： PM2.5实时预报;分布式计算;随机森林;空气质量;Spark

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 侯俊雄,李琦,朱亚杰,冯逍,毛曦

DOI: 10.16251/j.cnki.1009-2307.2017.01.001

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