Optimization of Hourly PM<sub>2.5</sub> Inversion Model Integrating Upper-Air Meteorological Elements-Reference-Cited by-同舟云学术

Optimization of Hourly PM_2.5 Inversion Model Integrating Upper-Air Meteorological Elements

Published:2023 Issue: Volume:11 Page:35421-35428
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Yang Qian¹^ORCID,Zhang Xinlei¹^ORCID,Luan Qing¹^ORCID,Sun Shuai²^ORCID,Zhao Yongqiang¹^ORCID,Fang Chenggege³^ORCID,Mi Xiaonan¹^ORCID,Li Mengwei¹^ORCID

Affiliation:

1. Shanxi Climate Center, Taiyuan, China

2. National Meteorological Information Center, Beijing, China

3. Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, China

Funder

Applied Basic Research Project of Shanxi in China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10089505.pdf?arnumber=10089505

Reference26 articles.

1. Optimization of numerical simulation in Xi’an based on machine learning methods;li;Environ Sci Res,2020

2. Refined spatiotemporal estimation model of PM2.5 based on deep learning method;geng;China Environ Sci,2021

3. Estimation of ambient PM2.5 in Iraq and Kuwait from 2001 to 2018 using machine learning and remote sensing

4. A machine learning method to estimate PM2.5 concentrations across China with remote sensing, meteorological and land use information

5. VIIRS-based remote sensing estimation of ground-level PM2.5 concentrations in Beijing–Tianjin–Hebei: A spatiotemporal statistical model

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