Improved Hourly and long-term PM2.5 Prediction Modeling Based on MODIS in Bangkok-Reference-Cited by-同舟云学术

Improved Hourly and long-term PM2.5 Prediction Modeling Based on MODIS in Bangkok

Published:2022-11 Issue: Volume:28 Page:100864
ISSN:2352-9385
Container-title:Remote Sensing Applications: Society and Environment
language:en
Short-container-title:Remote Sensing Applications: Society and Environment

Author:

Kumharn Wilawan,Sudhibrabha Sumridh,Hanprasert Kesrin,Janjai Serm,Masiri Itsara,Buntoung Sumaman^ORCID,Pattarapanitchai Somjet,Wattan Rungrat,Pilahome Oradee,Nissawan Waichaya,Jankondee Yuttapichai

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geography, Planning and Development

Reference50 articles.

1. Ultrafine particle libraries for exploring mechanisms of PM2.5-induced toxicity in human cells;Bai;Ecotoxicol. Environ. Saf.,2018

2. Influence of meteorological conditions on PM2.5 concentrations across China: a review of methodology and mechanism;Chen;Environ. Int.,2020

3. Evaluation of real-time PM2.5 forecasts with the WRF-CMAQ modeling system and weather-pattern-dependent bias-adjusted PM2.5 forecasts in Taiwan;Cheng;Atmos. Environ.,2021

4. Long-term variations in PM2.5 concentrations under changing meteorological conditions in Taiwan;Cheng;Sci. Rep.,2019

5. Impact of transport of fine and ultrafine particles from open biomass burning on air quality during 2019 Bangkok haze episode;Dejchanchaiwong;J. Environ. Sci.,2020

Cited by 5 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. Application of complete ensemble empirical mode decomposition based multi-stream informer (CEEMD-MsI) in PM2.5 concentration long-term prediction;Expert Systems with Applications;2024-07

2. State-of-art in modelling particulate matter (PM) concentration: a scoping review of aims and methods;Environment, Development and Sustainability;2024-04-02

3. Research progress, challenges, and prospects of PM_2.5 concentration estimation using satellite data;Environmental Reviews;2023-12-01

4. A novel approach for the prediction and analysis of daily concentrations of particulate matter using machine learning;Science of The Total Environment;2023-11

5. Application of a PM2.5 dispersion model in the Bangkok central business district for air quality management;Frontiers in Environmental Science;2023-07-20