Information-based approach to PM 2.5 estimation and air quality assessment using statistical and deep learning models

Environmental Science Advances 2026 Open access

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Authors: Sehrish Khan, Maqbool Ahmad, Bahadar Zeb, Shahla Nazneen, Beenish Ali, Mubarak Hussaini Ahmad, Khan Alam, Allah Ditta
DOI: 10.1039/d5va00383k
Cited by: 1
References: 43

Abstract

In Pakistan, Peshawar City is persistently experiencing high concentrations of fine particulate matter (PM 2.5 ), frequently surpassing national as well as international air quality standards.

Fields of Study & Subjects

Air Quality Monitoring and Forecasting Air Quality and Health Impacts COVID-19 impact on air quality

Publication details

Journal / source
Environmental Science Advances
Publisher
Royal Society of Chemistry (RSC)
Volume
5
Issue
4
Pages
1116–1129
Publication date
1 January 2026
Language
EN