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Python 基于时间序列分析的大气污染预测的设计与实现
Design and Implementation of Air Pollution Prediction Based
on Time Series Analysis in Python
Abstract:With the development of industry in today's society, the air quality
in various parts of the world has significantly decreased, and air pollution can cause
great harm to people's physical health. So since the early 20th century, China has
been paying great attention to the issue of air quality control. In the past, only
weather conditions and temperatures were included in weather forecasts, and now air
quality is also a part of weather forecasting. After entering winter in our country,
especially in the north, the phenomenon of haze is very serious. If people do not
wear masks before traveling, it will have a negative impact on their respiratory tract
over time, thereby increasing the likelihood of people contracting respiratory
diseases.
This system is developed using Python language and MySQL database. The core
algorithm is to predict air pollution based on time series, which can provide various
functions such as air pollution prediction, prediction analysis, and prediction
management for people across the country. Users can predict air pollution anytime
and anywhere without having to repeatedly check the air pollution situation in
different regions and periods every day, Minimize the harm of atmospheric pollution
to the body.
Key words: Time Series; Atmospheric pollution prediction; Python; MYSQL