Research on Multi-Source Data Fusion in the Field of Atmospheric Environmental Monitoring

Abstract

With the development of science and technology, various kinds of data become more and more, it is increasingly important to obtain knowledge from data. The field of environmental monitoring is in the same situation. How to quickly and effectively dig out the useful information in large-scale multi-source data has become the biggest problem facing the environmental field. This paper focuses on multi-source data fusion methods, data Mining methods and existing cases, and proposed a multi-source data fusion framework for atmospheric environmental monitoring. The proposed framework effectively enhances the knowledge acquisition ability of environmental monitoring big data.