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March 21, 2026AtmosphereOpen Access

Estimation of PM2.5 Concentration in Yangquan City from 2015 to 2024 Based on MODIS Image and Meteorological Data and Analysis of Spatial and Temporal Variation

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Authors

QYqinfeng YaoJLJ. Y. LiuSCshenghua Chen

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Overview

Model estimates PM2.5 concentration in Yangquan City, revealing trends and spatial patterns over nearly a decade.

Key Points

  • To estimate PM2.5 concentration in Yangquan City from 2015 to 2024 using various data sources and analyze its spatial and temporal variation.
  • Utilized MODIS aerosol optical depth data and meteorological data
  • Incorporated Digital Elevation Model (DEM) and Normalized Difference Vegetation Index (NDVI)
  • Developed and compared random forest and multiple linear regression models for estimation
  • Analyzed PM2.5 concentration trends and spatial distribution over the study period
  • Random forest model outperformed multiple linear regression in accuracy
  • PM2.5 concentration showed an upward trend from 2015 to 2017 and a downward trend from 2018 to 2024, averaging a decrease of 18.3 μg/m3
  • Winter had the highest PM2.5 levels (55–85 μg/m3), while summer had the lowest (25–40 μg/m3)
  • Spatial distribution indicated higher PM2.5 in southeast urban areas and major industrial zones

Cite This Study

Yao et al. (2026) studied this question.

synapsesocial.com/papers/69be38ca6e48c4981c6797b2https://doi.org/10.3390/atmos17030308
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