MERRA-2 PM2.5 mass concentration reconstruction in China mainland based on LightGBM machine learning-Reference-Cited by-同舟云学术

MERRA-2 PM2.5 mass concentration reconstruction in China mainland based on LightGBM machine learning

Published:2022-06 Issue: Volume:827 Page:154363
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Ma Jinghui,Zhang Renhe,Xu Jianming,Yu Zhongqi

Funder

National Natural Science Foundation of China

Ministry of Science and Technology of the People's Republic of China

Shanghai City Science and Technology Commission

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference57 articles.

1. Temporal and spatial variations in sand and dust storm events in East Asia from 2007 to 2016: relationships with surface conditions and climate change;An;Sci. Total Environ.,2018

2. LGHAP: a long-term gap-free high-resolution air pollutants concentration dataset derived via tensor flow based multimodal data fusion;Bai;Earth Syst. Sci. Data,2021

3. How accurate are modern atmospheric re-analyses for the data-sparse Tibetan Plateau region?;Bao;J. Clim.,2019

4. Kriging for interpolation in random simulation;Beers;J. Oper. Res. Soc.,2003

5. Investigating the aerosol optical and radiative characteristics of heavy haze episodes in Beijing during January of 2013;Bi;J. Geophys. Res. Atmos.,2014

Cited by 23 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. Spatiotemporal characteristics of PM2.5 concentrations and responses to land-use change in Urumqi, China;Journal of Applied Remote Sensing;2024-08-06

2. Development of an integrated machine learning model to improve the secondary inorganic aerosol simulation over the Beijing–Tianjin–Hebei region;Atmospheric Environment;2024-06

3. Building energy efficiency assessment base on predict-center criterion under diversified conditions;Energy and Buildings;2024-05

4. Estimation of All-Day Aerosol Optical Depth in the Beijing–Tianjin–Hebei Region Using Ground Air Quality Data;Remote Sensing;2024-04-16

5. Spatiotemporal Patterns of Air Pollutants over the Epidemic Course: A National Study in China;Remote Sensing;2024-04-07