运用大数据解析大连市某国控大气子站PM_(2.5)来源

Analysis of the Source of PM_(2.5) in a State-controlled Atmospheric Substation in Dalian by Using Big Data

智慧监测的实现手段包括建设高效感知的综合监测网络、开展集成融合的数据深度挖掘等。在建设高效感知的综合监测网络上,突出立体性,加强机动性,从以固定点位为主向固定点位、移动走航、动态布点等综合应用发展转型。在数据分析上,开展集成融合的数据深度挖掘,运用大数据等技术,加强融合分析,充分反映环境状况与污染源排放、经济活动变化的关系,开展污染溯源追因。该研究基于上述智慧监测的理念,利用大数据对大连市某国控大气子站PM_(2.5)历史数据进行了解析,结果表明,非供暖季该子站周边PM_(2.5)主要来源于交通产生的汽车尾气和扬尘,供暖季主要来源于锅炉燃烧产生的烟尘、交通产生的汽车尾气和扬尘,并结合上述分析,对大连市该区域PM_(2.5)的管控给出建议。

The implementation means of intelligent monitoring include,for example,building an integrated monitoring network with efficient perception,and carrying out integrated data deep mining.In the construction of an efficient and perceptive comprehensive monitoring network,it highlights the three-dimensional nature,strengthens mobility,transforms from the development of fixed points to comprehensive applications such as fixed-point observation and navigation observation.In terms of data analysis,strengthen fusion analysis by using big data and other technologies which improves the level of data mining and application,fully reflect the relationship between environmental conditions and pollution source emissions and changes in economic activities et al.This paper uses big data to analyze the PM_(2.5) source of a state controlled atmospheric sub-station in Dalian.The results show that PM_(2.5) around the station in Dalian in non heating season mainly comes from automobile exhaust and dust generated by traffic.In heating season,it mainly comes from smoke and dust from boiler combustion and automobile exhaust and dust generated by traffic.Combined with the above analysis,control suggestion of PM_(2.5) is given.