Aerosol classification by application of machine learning spectral clustering algorithm-Reference-Cited by-同舟云学术

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Aerosol classification by application of machine learning spectral clustering algorithm

Published:2024-03 Issue:3 Volume:15 Page:102026
ISSN:1309-1042
Container-title:Atmospheric Pollution Research
language:en
Short-container-title:Atmospheric Pollution Research

Author:

Ningombam Shantikumar S.,Larson E.J.L.,Indira G.,Madhavan B.L.,Khatri Pradeep

Funder

Ministry of Earth Sciences

Publisher

Elsevier BV

Subject

Atmospheric Science,Pollution,Waste Management and Disposal

Reference48 articles.

1. Estimating the air quality and health impacts of biomass burning in northern South America using a chemical transport model;Ballesteros-González;Sci. Total Environ.,2020

2. Bounding global aerosol radiative forcing of climate change;Bellouin;Rev. Geophys.,2020

3. In-depth discrimination of aerosol types using multiple clustering techniques over four locations in Indo-Gangetic plains;Bibi;Atmos. Res.,2016

4. Application of aerosol optical properties to estimate aerosol type from ground-based remote sensing observation at urban area of northeastern China;Che;J. Atmos. Sol.-Terr. Phys.,2015

5. Verification of aerosol classification methods through satellite and ground-based measurements over Harbin, Northeast China;Chen;Atmos. Res.,2019

Cited by 2 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. Understanding the Dynamics of Source-Apportioned Black Carbon in an Urban Background Environment;Atmosphere;2024-07-11

2. Exploring the association between long-term MODIS aerosol and air pollutants data across the Northern Great Plains through machine learning analysis;Science of The Total Environment;2024-04

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