Interpretable Stepwise Multiple Linear Regression Model for Ozone Concentration Prediction

Author:

Guan yanan,Liu Chang,Liu Xinyue,Shen Ying,Yan Chenguang,Su Wenkang,Ni Shuangying,Zhao Yuguang,Han Jing,Duan Erhong,Hou Li’an

Publisher

Elsevier BV

Reference38 articles.

1. Implications of COVID-19 Restriction Measures in Urban Air Quality of Thessaloniki;D Akritidis;A Machine Learning Approach. Atmosphere,2021

2. The Role of Air Humidity in Variations in Near-Surface Ozone Concentration;B D Belan;Atmos. Oceanic Opt,2019

3. Ground-level ozone estimation based on geo-intelligent machine learning by fusing in-situ observations, remote sensing data, and model simulation data;J Chen;Int. J. Appl. Earth. Obs,2022

4. Ensemble and enhanced PM 10 concentration forecast model based on stepwise regression and wavelet analysis;Y Chen;Atmos. Environ,2013

5. Mapping the daily nitrous acid (HONO) concentrations across China during 2006-2017 through ensemble machine-learning algorithm;L Cui;Sci. Total Environ,2021

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