A Temporal Approach for Air Quality Forecast

Eric Hsueh Chan Lu, Chia Yu Liu

研究成果: Conference contribution


Recently, air pollution caused by particulate matter that the diameter is less than or equal to 2.5 μg/m3 has become an important issue. It is so tiny that it can go through alveolar microvascular and enter our body. PM2.5 makes a significant impact on human health. Therefore, monitoring and forecasting the air quality is an indispensable task for human society. Nowadays, we can easily acquire Air Quality Indices (AQIs) by installing a small-scale air quality sensor or downloading from some freely authorized databases. However, people demand farther PM2.5 information to plan their route. This research aims to forecast PM2.5 value in the future hours. Previous studies indicated that the air quality varies nonlinearly in urban areas and depends on several factors such as temperature, humidity and wind speed. Therefore, we combine air quality data from AirBox and meteorology data to forecast PM2.5 value. Air quality is a continuous data. If monitored air quality is good at the last time stamp, the next monitored air quality has high possibility to be good at the same location. And air quality may have some regular in the history data. We forecast PM2.5 values via the algorithm similar to weighted average method. It can figure out the time intervals with similar weather condition. Finally, the error is calculated to examine the accuracy of our method. In contrast to a famous method, Pearson’s Correlation Coefficient, our method preforms well and stable with farther forecast.

主出版物標題Intelligent Information and Database Systems - 11th Asian Conference, ACIIDS 2019, Proceedings
編輯Tzung-Pei Hong, Ngoc Thanh Nguyen, Bogdan Trawiński, Ngoc Thanh Nguyen, Ford Lumban Gaol
發行者Springer Verlag
出版狀態Published - 2019 一月 1
事件11th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2019 - Yogyakarta, Indonesia
持續時間: 2019 四月 82019 四月 11


名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
11432 LNAI


Conference11th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2019

All Science Journal Classification (ASJC) codes

  • 理論電腦科學
  • 電腦科學(全部)


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