Innovative approaches for accurate ozone prediction and health risk analysis in South Korea: The combined effectiveness of deep learning and AirQ+-Reference-Cited by-同舟云学术

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Innovative approaches for accurate ozone prediction and health risk analysis in South Korea: The combined effectiveness of deep learning and AirQ+

Published:2024-10 Issue: Volume:946 Page:174158
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Shams Seyedeh Reyhaneh,Choi Yunsoo,Singh Deveshwar,Ghahremanloo Masoud,Momeni Mahmoudreza,Park Jincheol

Funder

University of Houston

Publisher

Elsevier BV

Reference107 articles.

1. Aesthetic quality modeling of the form of natural elements in the environment of urban parks;Aboufazeli;Evol. Intel.,2022

2. A novel ensemble-based statistical approach to estimate daily wildfire-specific PM2.5 in California (2006–2020);Aguilera;Environ. Int.,2023

3. An estimate of the global burden of anthropogenic ozone and fine particulate matter on premature human mortality using atmospheric modeling;Anenberg;Environ. Health Perspect.,2010

4. Estimates of the global burden of ambient PM 2.5, ozone, and NO 2 on asthma incidence and emergency room visits;Anenberg;Environ. Health Perspect.,2018

5. Meteorological correlates and AirQ+ health risk assessment of ambient fine particulate matter in Tehran, Iran;Ansari;Environ. Res.,2019

Cited by 1 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. Determination of Ozone-induced mortality in Aydın province, Turkey in 2022 using AIRQ+ Modeling;EQA-INT J ENVIRON QU;2024

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