A hybrid deep learning model with multi-source data for PM2.5 concentration forecast

Q Sun, Y Zhu, X Chen, A Xu, X Peng - Air Quality, Atmosphere & Health, 2021 - Springer
Air quality forecast is an important technical means to ensure timely and proper response to
heavy pollution weather. In this study, a hybrid deep air quality predictor (HDAQP) model …

PM2. 5 concentrations forecasting in Beijing through deep learning with different inputs, model structures and forecast time

J Yang, R Yan, M Nong, J Liao, F Li, W Sun - Atmospheric Pollution …, 2021 - Elsevier
Timely and accurate air quality forecasting is of great significance for prevention and
mitigation of air pollution. However, most of the previous forecasting models only considered …

A hybrid deep learning technology for PM2.5 air quality forecasting

Z Zhang, Y Zeng, K Yan - Environmental Science and Pollution Research, 2021 - Springer
The concentration of PM 2.5 is one of the main factors in evaluating the air quality in
environmental science. The severe level of PM 2.5 directly affects the public health …

A novel hybrid ensemble model for hourly PM2. 5 forecasting using multiple neural networks: a case study in China

H Liu, S Dong - Air Quality, Atmosphere & Health, 2020 - Springer
High concentration PM2. 5 may cause serious damage to human health. Accurate PM2. 5
concentration forecasting can provide the public with timely and effective PM2. 5 pollution …

A hybrid deep learning model for predicting PM2. 5

P Yuan, YF Mei, YL Zhong, Y Xia… - 2022 7th International …, 2022 - ieeexplore.ieee.org
Accurate prediction of PM 2.5 concentration is of great significance to air pollution control
and human health protection. However, how to extract effective features of numerous …

Spatiotemporal prediction of PM2. 5 concentrations at different time granularities using IDW-BLSTM

J Ma, Y Ding, VJL Gan, C Lin, Z Wan - Ieee Access, 2019 - ieeexplore.ieee.org
As air pollution becomes an increasing concern globally, governments, and research
institutions have attached great importance to air quality prediction to help give early …

Prediction of PM2.5 Concentration Based on Deep Learning, Multi-Objective Optimization, and Ensemble Forecast

Z Gao, X Mo, H Li - Sustainability, 2024 - mdpi.com
Accurate and stable prediction of atmospheric PM2. 5 concentrations is crucial for air
pollution prevention and control. Existing studies usually rely on a single model or use a …

An ensemble NLSTM-based model for PM2. 5 concentrations prediction considering feature extraction and data decomposition

R Zhang, N Awang - Air Quality, Atmosphere & Health, 2023 - Springer
Abstract Fine particulate matter (PM2. 5) is a hazardous air pollutant with an aerodynamic
diameter of 2.5 μm or less, which can lead to severe health impacts such as cardiovascular …

Deep Learning-Based PM2.5 Long Time-Series Prediction by Fusing Multisource Data—A Case Study of Beijing

M Niu, Y Zhang, Z Ren - Atmosphere, 2023 - mdpi.com
Accurate air quality prediction is of great significance for pollution prevention and disaster
prevention. Effective and reliable prediction models are needed not only for short time …

Design a regional and multistep air quality forecast model based on deep learning and domain knowledge

X Mo, H Li, L Zhang - Frontiers in Earth Science, 2022 - frontiersin.org
Air pollution is an issue across the world. It not only directly affects the environment and
human health, but also influences the regional and even global climate by changing the …