Method and system for analyzing time series increase of air pollution monitoring data

Abstract

The embodiment of the invention provides a method and a system for analyzing time series increase of air pollution monitoring data. The method comprises the steps of acquiring observation data series of a monitoring site in a first preset time period; if judging and knowing that the duration time corresponding to a plurality of observation data is greater than a first preset threshold value, a linear fitting coefficient is greater than a second preset threshold value and the slope factor of a fitting straight line is greater than 0, taking the plurality of observation data as target observation data series; and acquiring the duration time of the target observation data series, the linear fitting coefficient and the slope factor, and analyzing the target observation data series. The system is used for executing the method. According to the embodiment, through acquisition of the plurality of continuously increasing observation data, in which the duration time is greater than the first preset threshold value, the linear fitting coefficient is greater than the second preset threshold value and the slope factor of the fitting straight line is greater than 0, the observation data are analyzed, the analysis for dynamic change characteristics of air pollution data is realized, and an accurate and detailed analysis result is obtained.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of data processing, in particular to a method and system for analyzing time series growth of air pollution monitoring data. Background technique [0002] Air pollution has become one of the biggest environmental hazards in China. From the perspective of emission sources, the distribution quantity and density of fixed industrial combustion sources (such as power plants), mobile combustion sources (such as vehicles), and agricultural sources in different regions are very different. In addition, the flow of atmosphere between regions will further link the two factors of local emissions and regional transmission. Therefore, clarifying the source of air pollution in an area is a scientific and technical problem. Although air quality data such as remote sensing observations and ground observations have been gradually enriched, and related research such as emission inventories and atmosp...

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Problems solved by technology

Although air quality data such as remote sensing observations and ground observations have been gradually enriched, and related research such as emission inventories and atmospheric chemical models has made considerable progress, the causes, health impacts, and coping mechanisms of China's atmospheric composite pollution are still a challenging research topic.

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