Forecasting the concentration of NO2 using statistical and machine learning methods: A case study in the UAE-Reference-Cited by-同舟云学术

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Forecasting the concentration of NO2 using statistical and machine learning methods: A case study in the UAE

Published:2023-02 Issue:2 Volume:9 Page:e12584
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Al Yammahi Aishah^ORCID,Aung Zeyar^ORCID

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference62 articles.

1. Health risk and disease burden attributable to long-term global fine-mode particles;Yang;Chemosphere,2022

2. Estimates of population exposure to atmospheric pollution and health-related externalities in a real city: the impact of spatial resolution on the accuracy of results;Santiago;Sci. Total Environ.,2022

3. A comprehensive analysis of the spatio-temporal variation of urban air pollution in China during 2014–2018;Fan;Atmos. Environ.,2020

4. The role of primary emission and transboundary transport in the air quality changes during and after the COVID-19 lockdown in China;Fan;Geophys. Res. Lett.,2021

5. Impact of excess NOx emissions from diesel cars on air quality, public health and eutrophication in Europe;Jonson;Environ. Res. Lett.,2017

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2. Particulate matter (pm10) monitoring in the United Arab Emirates using a satellite remote sensing based model;Discover Environment;2024-05-14

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