Air Quality Prediction Method and Device

Abstract

The invention discloses an air quality prediction method and device. The method includes: from the pre-established database, the historical meteorological data and historical air quality data of all regions within a preset distance centered on the area to be predicted are retrieved; from the historical meteorological data and historical air quality data of the area to be predicted, the first The historical meteorological data and the first air quality data are used as the forecast input parameters, and the second historical air quality data are selected as the forecast input parameters from the historical air quality data of other areas within the preset distance centered on the area to be predicted; For the forecasted weather data at each moment in the time period to be predicted in the area to be predicted, the first forecasted weather data is selected as the forecast input parameter; each forecast input parameter is used to calculate the air quality data at each time to be forecasted through a predetermined forecast function. By adopting the technical solution provided by the invention, the air quality can be predicted more accurately under limited computing resources.

Description

technical field [0001] The invention relates to the technical field of atmospheric forecasting, in particular to a forecasting method and device for air quality. Background technique [0002] In the process of industrialization, in order to pursue rapid economic development, human beings have seriously damaged the natural environment, resulting in various pollutions, and air pollution is one of the main pollutions. Air pollution directly endangers people's health. Therefore, people have a strong need to know the air quality of a more accurate future date in order to arrange their work and life. [0003] Air quality data generally come mainly from the measured values ​​of the environmental protection department. In the current technology, there are also technologies for predicting air quality, which are divided into two types, one is based on chemical forecasting model calculations, that is, WRF (Weather Research and Forecasting Model, weather forecasting model)-Chem (Chemis...

AI Technical Summary

Problems solved by technology

In the current technology, there are also technologies for predicting air quality, which are divided into two types, one is based on chemical forecasting model calculations, that is, WRF (Weather Research and Forecasting Model, weather forecasting model)-Chem (Chemistry, chemical ), the method of forecasting based on chemical forecasting model calculations requires extremely high computing resources and is difficult to implement; the other is based on local historical meteorological data and historical air quality data, combined with meteorological data at the forecast time, to predict the air quality at the local forecast time In this method, when predicting the air quality data at the local forecast time, the selected historical meteorological data and historical air quality data are the data at the same time in the historical date as the forecast time, for example, the forecast time is 15:00 , the selected historical meteorological data and historical air quality data are data at 15:00 on a certain or certain date in history, and the accuracy of the air quality data predicted by this method is relatively low

[0004] Therefore, the current technology is difficult to predict air quality more accurately under limited computing resources

Images