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February 25, 2026Environmental Science Advances0 citationsOpen Access

Information-based Approach to PM 2.5 Estimation and Air Quality Assessment Using Statistical and Deep Learning Models

SKSehrish KhanMAMaqbool AhmadBZBahadar Zeb

Key Points

  • The aim is to estimate PM2.5 levels and assess air quality using advanced statistical and deep learning models.
  • Developed models incorporating statistical and deep learning techniques
  • Focused on air quality assessment in Peshawar City
  • Analyzed PM2.5 concentration data relative to standards
  • Documented consistently high PM2.5 levels in Peshawar City
  • Showed frequent violations of air quality standards
  • Demonstrated effectiveness of models in estimating particulate concentrations

Abstract

In Pakistan, Peshawar City is persistently experiencing high concentrations of fine particulate matter (PM2.5), frequently surpassing national as well as international air quality standards. For this purpose, the present study...

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Cite This Study

Khan et al. (2026) studied this question.

synapsesocial.com/papers/699e912ef5123be5ed04e7e8https://doi.org/10.1039/d5va00383k
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