Why can smog and heavily polluted weather be predicted many days in advance?

According to relevant reports, the big data of smog and heavily polluted weather mainly includes air quality data, meteorological conditions and general indicators of future weather forecast. Therefore, in order to predict smog, we should always pay attention to various indicators of weather forecast, such as air quality data and air humidity index in the past few days, as data to judge the occurrence of smog.

The main component of fog is water vapor, and the core of haze is dry dust particles suspended in the air, but in the actual atmosphere, fog and haze form the condensation nucleus of clouds. Therefore, the prediction of smog should be calculated according to the total data measured by weather station data, traffic flow data, factory and mine data and population flow data, which is more accurate. In our life, we can calculate the average through official data.

The amount of air index data will directly affect the accuracy of big data prediction. According to experts' reports, the prediction accuracy of smog big data in Beijing, Tianjin and Hebei can reach 75%, and it will be higher in Chengdu, Chongqing, Guangdong and other regions. With the development of science, smog prediction is becoming more and more accurate. It brings great convenience to our life and work.

Big data can not only predict smog and heavily polluted weather, but also refine the forecast. Big data can predict the air quality of 1~6 hours, predict the maximum and minimum values of the data, and then take out the average value. We can also look at the numerical values calculated by the weather forecast within a few hours and days, and calculate the average value as the data for forecasting smog.

Big data predicts smog and heavily polluted weather at a very fast speed. If you want to predict the smog in life, you should always pay attention to the meteorological report, combine the recent local weather changes, and calculate the data to predict the smog according to the control indicators of the weather forecast. Big data is used to predict smog. Because the influencing factors of air quality are different at every station and every time, we can pay attention to the air quality data of the urban area we want to pay attention to according to the meteorological forecast smog data of each area, and the weather changes in other surrounding areas can be used as a comparative reference.