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PM2.5 concentration prediction and early warning method

A concentration prediction and concentration technology, applied in the field of PM2.5 concentration prediction and early warning, can solve the problems of low PM2.5 concentration efficiency and poor accuracy, and achieve the effect of improving efficiency and accuracy

Inactive Publication Date: 2019-10-25
ZHEJIANG UNIVERSITY OF MEDIA AND COMMUNICATIONS
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AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved in the present invention is: the technical problem of low efficiency or poor accuracy of the current PM2.5 concentration prediction method

Method used

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  • PM2.5 concentration prediction and early warning method
  • PM2.5 concentration prediction and early warning method
  • PM2.5 concentration prediction and early warning method

Examples

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Embodiment 1

[0025] A PM2.5 concentration prediction and early warning method, such as figure 1 As shown, this embodiment includes the following steps:

[0026] 101. Obtain historical data sets of multiple cause features and PM2.5 concentrations of multiple cities, the multiple cause features include multiple pollutant features and multiple meteorological features, and the historical data sets include PM2.5 within a preset historical time length The daily PM2.5 concentration data and the corresponding characteristic data of the multiple causes.

[0027] 102. Based on the collected historical data set, establish the influence degree model of the PM2.5 concentration and each cause feature, and the influence degree model is used to indicate the influence degree of the cause feature on the PM2.5 concentration.

[0028] 103. According to the influence degree model of each cause characteristic and PM2.5 concentration, conduct a correlation test on the influence degree result of each cause chara...

Embodiment 2

[0069] A PM2.5 concentration prediction and early warning method, such as figure 2 As shown, this embodiment includes the following steps:

[0070] 201. Acquire multiple causal features and PM2.5 concentration historical data sets of multiple cities, where the multiple causal features include multiple pollutant features and multiple meteorological features.

[0071] Among them, the historical data set includes the daily PM2.5 concentration (μg / m 3 ) data and the corresponding multiple cause characteristic data. Multiple meteorological features include at least mean air pressure, atmospheric temperature, relative humidity, wind speed, precipitation, evaporation, sunshine, and surface temperature; multiple pollutant features include at least nitrogen dioxide, sulfur dioxide, carbon monoxide, and ozone. It should be noted that the historical data acquired by the present invention not only include meteorological features, but also include pollutant characteristics caused by eco...

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Abstract

The invention relates to the technical field of atmospheric environment monitoring, in particular to a PM2.5 concentration prediction and early warning method, which comprises the following steps of obtaining a plurality of cause characteristics of a plurality of cities and a historical data set of PM2.5 concentration; carrying out influence degree analysis and correlation test on each cause characteristic; screening a plurality of related cause features from the plurality of cause features; training and testing the plurality of classification models according to the plurality of related causecharacteristics and the historical data of the PM2.5 concentration, and screening out a target classification model with optimal performance; predicting the PM2.5 concentration of the target place according to the historical data of the target place and the target classification model, and giving an early warning if the PM2.5 concentration reaches a threshold value. Through influence degree analysis and correlation inspection, irrelevant reason characteristics are eliminated, and the classification model with the optimal performance is screened out from various classification models for prediction, so that the prediction accuracy and efficiency are improved, and a scientific and reliable reference is provided for prevention and control work of atmospheric pollution.

Description

technical field [0001] The invention relates to the field of atmospheric environment monitoring, in particular to a PM2.5 concentration prediction and early warning method. Background technique [0002] Air pollution in China year after year seriously affects people's life and health. Polluted weather often sweeps through most of the country, especially in North China, the Yangtze River Delta and central China. These regions are densely populated and economically developed, and their demand for natural resources is much higher than other regions in China. With the increase of fossil fuel consumption in factories and private cars, sulfur dioxide and nitrogen oxides emitted into the air not only cause direct harm to humans and plants, but also cause secondary pollution such as acid rain, smog, greenhouse effect and photochemical smog. Severe smog pollution has also occurred in many developed countries, such as the photochemical smog events in Los Angeles in 1955 and 1970, an...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/26G06F16/35
CPCG06Q10/04G06Q50/26G06F16/35
Inventor 王博丞刘胜娟
Owner ZHEJIANG UNIVERSITY OF MEDIA AND COMMUNICATIONS
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