Abnormal Weather Notification Method using SARIMA Model

초록

Global warming is causing enormous damage to the Earth by causing natural disasters and environmental changes that are different from the past. Among the various factors that threaten human health, smog is a representative example of respiratory disease, and recent news reports show that many people are hospitalized with respiratory diseases due to extreme harmful smog. This study proposes a system that uses the SARIMA(Seasonal ARIMA) model to predict wind speed and direction and detects abnormal weather by comparing the predicted values ​​with past averages. To this end, we collected wind direction and wind speed data for the past 10 years in Region G, and if the predicted values ​​differ significantly from the past, we can use this to reduce casualties and respond by sending warnings to local residents via SNS or emergency disaster text messages

키워드