Determination of Input variables for Artificial Intelligence Models to predict the High PM2.5 concentration events in Seoul, Korea
SH Kim, MS Park - Asia-Pacific Journal of Atmospheric Sciences, 2023 - Springer
The concentration of particulate matter (PMs) is governed by complex processes such as
long-range transport, vertical diffusion, and local emissions. Therefore, thus it is relatively …
long-range transport, vertical diffusion, and local emissions. Therefore, thus it is relatively …
Hourly PM2. 5 Concentration Prediction Based on Empirical Mode Decomposition and Geographically Weighted Neural Network
Y Chen, C Hu - ISPRS International Journal of Geo-Information, 2024 - mdpi.com
Accurate prediction of fine particulate matter (PM2. 5) concentration is crucial for improving
environmental conditions and effectively controlling air pollution. However, some existing …
environmental conditions and effectively controlling air pollution. However, some existing …
[HTML][HTML] Improving the Forecast Accuracy of PM2.5 Using SETAR-Tree Method: Case Study in Jakarta, Indonesia
Air pollution in Jakarta, one of the most polluted cities globally, has reached critical levels,
with PM2. 5 concentrations exceeding the WHO guidelines and posing significant health …
with PM2. 5 concentrations exceeding the WHO guidelines and posing significant health …
Daily PM2.5 Estimation using Multiple Linear Regression and Artificial Neural Networks Before 2015
JW Huh, SJ Park - Journal of Industrial Technology, 2024 - koreascience.kr
Abstract Since 2015, the PM 2.5 measurement data has been publicly available nationwide
in South Korea, but its use is restricted to after 2015, unlike other air pollutants. To overcome …
in South Korea, but its use is restricted to after 2015, unlike other air pollutants. To overcome …