Bias Correction for Forecasting PM2.5 Concentrations Using Measurement Data from Monitoring Stations by Region

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Bias Correction for Forecasting PM2.5 Concentrations Using Measurement Data from Monitoring Stations by Region ; volume:12 ; number:4 ; day:1 ; month:12 ; year:2018 ; pages:338-345 ; date:12.2018
Asian journal of atmospheric environment ; 12, Heft 4 (1.12.2018), 338-345, 12.2018

Classification: Soziale Probleme, Sozialdienste, Versicherungen

Creator: Ghim, Young Sung
Choi, Yongjoo
Kim, Soontae
Bae, Chang Han
Park, Jinsoo
Shin, Hye Jung

Contributor: SpringerLink (Online service)

DOI: 10.5572/ajae.2018.12.4.338

URN: urn:nbn:de:101:1-2024021916214410237491

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:54 AM CEST

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Ghim, Young Sung
Choi, Yongjoo
Kim, Soontae
Bae, Chang Han
Park, Jinsoo
Shin, Hye Jung
SpringerLink (Online service)

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Comparison of Ozone and PM2.5 Concentrations over Urban, Suburban, and Background Sites in China

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Anthropogenic platinum group element (Pt, Pd, Rh) concentrations in PM10 and PM2.5 from Kolkata, India

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Bias Correction for Forecasting PM2.5 Concentrations Using Measurement Data from Monitoring Stations by Region

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Other Objects (12)

RESEARCH ON PM2.5 CONCENTRATION COMBINATION FORECASTING MODEL BASED ON COR-SVM

Long-term variations in PM2.5 concentrations under changing meteorological conditions in Taiwan

Modeling air quality PM2.5 forecasting using deep sparse attention-based transformer networks

PM2.5 forecasting for an urban area based on deep learning and decomposition method

The sensitivity of health impact assessments of PM2.5 from South African coal-fired power stations

Comparative analysis of meteorological parameters and their relationship with NO2, PM10, PM2.5 and O3 concentrations at selected urban air quality monitoring stations in Krakow, Paris, and Milan

Assessment of 24-h moving average PM2.5 concentrations in Bangkok, Thailand against WHO guidelines

Estimating Ground-Level Hourly PM2.5 Concentrations Over North China Plain with Deep Neural Networks

Comparison of Ozone and PM2.5 Concentrations over Urban, Suburban, and Background Sites in China

Power consumption prediction for electric vehicle charging stations and forecasting income

Anthropogenic platinum group element (Pt, Pd, Rh) concentrations in PM10 and PM2.5 from Kolkata, India

Reanalysis of the association between reduction in long-term PM2.5 concentrations and improved life expectancy

RESEARCH ON PM2.5 CONCENTRATION COMBINATION FORECASTING MODEL BASED ON COR-SVM

Long-term variations in PM2.5 concentrations under changing meteorological conditions in Taiwan

Modeling air quality PM2.5 forecasting using deep sparse attention-based transformer networks

PM2.5 forecasting for an urban area based on deep learning and decomposition method

The sensitivity of health impact assessments of PM2.5 from South African coal-fired power stations

Comparative analysis of meteorological parameters and their relationship with NO2, PM10, PM2.5 and O3 concentrations at selected urban air quality monitoring stations in Krakow, Paris, and Milan

Assessment of 24-h moving average PM2.5 concentrations in Bangkok, Thailand against WHO guidelines

Estimating Ground-Level Hourly PM2.5 Concentrations Over North China Plain with Deep Neural Networks

Comparison of Ozone and PM2.5 Concentrations over Urban, Suburban, and Background Sites in China

Power consumption prediction for electric vehicle charging stations and forecasting income

Anthropogenic platinum group element (Pt, Pd, Rh) concentrations in PM10 and PM2.5 from Kolkata, India

Reanalysis of the association between reduction in long-term PM2.5 concentrations and improved life expectancy

RESEARCH ON PM2.5 CONCENTRATION COMBINATION FORECASTING MODEL BASED ON COR-SVM

Long-term variations in PM2.5 concentrations under changing meteorological conditions in Taiwan

Modeling air quality PM2.5 forecasting using deep sparse attention-based transformer networks

PM2.5 forecasting for an urban area based on deep learning and decomposition method

The sensitivity of health impact assessments of PM2.5 from South African coal-fired power stations

Comparative analysis of meteorological parameters and their relationship with NO2, PM10, PM2.5 and O3 concentrations at selected urban air quality monitoring stations in Krakow, Paris, and Milan

Assessment of 24-h moving average PM2.5 concentrations in Bangkok, Thailand against WHO guidelines

Estimating Ground-Level Hourly PM2.5 Concentrations Over North China Plain with Deep Neural Networks

Comparison of Ozone and PM2.5 Concentrations over Urban, Suburban, and Background Sites in China

Power consumption prediction for electric vehicle charging stations and forecasting income

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Reanalysis of the association between reduction in long-term PM2.5 concentrations and improved life expectancy

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