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Towards retrieving aerosol chemical composition from temporal variations of total PM mass concentrations: Theoretical approach, insights, and the promise of machine learning techniques
  • Tabish Ansari,
  • Danish Ansari,
  • Prateek Verma
Tabish Ansari
Campus Fryslan, University of Groningen, Leeuwarden, the Netherlands

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Danish Ansari
Independent Researcher, NGEF layout, Sadananda Nagar, Bangalore
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Prateek Verma
Department of Chemical Engineering, University of Arkansas, Fayetteville, United States
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Fine and ultrafine ambient particulate matter (PM) has major health and climate impacts. Chemical composition of PM is required for better estimation of these impacts but is considerably expensive to measure as compared to the total PM mass concentrations. We explore the indirect estimation of PM chemical composition by analysing the temporal variation of, relatively inexpensively measured, total PM.