Design of a multi-scale query platform for China's PM2.5 Concentration

出版物
In the 2020 International Conference on Computer Science and Management Technology (ICCSMT 2020)

abstract:

With the rapid economic development and the acceleration of urbanization, increase the Concentration of PM2.5, leading to a continuous decline in China’s air quality. PM2.5 will cause a series of social problems such as damage to human health, reduced visibility, environmental pollution, and hidden traffic hazards. Many researchers are committed to PM2.5 pollution research, effective and reliable PM2.5 historical data is the basis of these studies. This research will design and develop a data query Visualization platform that provides national monthly, quarterly, and annual average PM2.5 Concentrations. The platform can provide researchers with effective, reliable, and processed data for free, which will greatly reduce the time cost of data processing in the early stage of the experiment and shorten the research cycle.

许姗姗
许姗姗
博士生在读(3rd)

我的研究方向包括大气水汽、云量、气温等相互耦合与相互作用