Hourly Ozone and PM2.5 Prediction Using Meteorological Data – Alternatives for Cities with Limited Pollutant Information-Reference-Cited by-同舟云学术

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Hourly Ozone and PM2.5 Prediction Using Meteorological Data – Alternatives for Cities with Limited Pollutant Information

Published:2021 Issue:9 Volume:21 Page:200471
ISSN:1680-8584
Container-title:Aerosol and Air Quality Research
language:en
Short-container-title:Aerosol Air Qual. Res.

Author:

Cifuentes Felipe,Gálvez Angel,González Carlos M.,Orozco-Alzate Mauricio,Aristizábal Beatriz H.

Publisher

Taiwan Association for Aerosol Research

Subject

Pollution,Environmental Chemistry

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A new perspective on air quality index time series forecasting: A ternary interval decomposition ensemble learning paradigm;Technological Forecasting and Social Change;2023-06

2. Variational Bayesian Network with Information Interpretability Filtering for Air Quality Forecasting;Mathematics;2023-02-07

3. Particulate Matter Prediction and Shapley Value Interpretation in Korea through a Deep Learning Model;SOLA;2023

4. A Machine-Learning-Based Classification Method for Meteorological Conditions of Ozone Pollution;Aerosol and Air Quality Research;2023

5. Prediction of Hourly PM2.5 and PM10 Concentrations in Chongqing City in China Based on Artificial Neural Network;Aerosol and Air Quality Research;2023

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