Optimizing the PM2.5 Tradeoffs: The Case of Taiwan
Abstract The causes of PM2.5 is dynamic and systematic. However, many studies approach the PM2.5 problem by focusing only on either socioeconomic factors or geo-meteorological factors in isolation such data insufficiency might undermine the effort to control PM2.5. We propose a LSTM-XGBoost model co...
Saved in:
Main Authors: | Shihping Kevin Huang, Sin-Yao Chen, Kuei-Lan Chou, Wei Chung Hsu, Kang-Hua Lai, Tung-Hung Chueh, Lopin Kuo, William Lu |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer
2022-07-01
|
Series: | Aerosol and Air Quality Research |
Subjects: | |
Online Access: | https://doi.org/10.4209/aaqr.210315 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Risk of Stroke Associated with Temperature and PM2.5: Taiwan Stroke Registry-based Study
by: Fung-Chang Sung, et al.
Published: (2023-08-01) -
Simulating the air quality impact of prescribed fires using graph neural network-based PM2.5 forecasts
by: Kyleen Liao, et al.
Published: (2025-01-01) -
Characteristics and Source-specific Health Risks of Ambient PM2.5-bound PAHs in an Urban City of Northern Taiwan
by: Yu-Chieh Ting, et al.
Published: (2023-08-01) -
Assessment of Machine Learning Algorithms in Short-term Forecasting of PM10 and PM2.5 Concentrations in Selected Polish Agglomerations
by: Bartosz Czernecki, et al.
Published: (2021-03-01) -
Temporospatial Variation, Chemical Composition, and Source Resolution of PM2.5 in the Southeastern Taiwan Island
by: Chung-Shin Yuan, et al.
Published: (2022-12-01)