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Asif S. Ansari
Researcher at Carnegie Mellon University
Publications - 9
Citations - 995
Asif S. Ansari is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Aerosol & Sulfate. The author has an hindex of 8, co-authored 9 publications receiving 956 citations. Previous affiliations of Asif S. Ansari include Bayer Corporation.
Papers
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Journal ArticleDOI
Response of Inorganic PM to Precursor Concentrations
Asif S. Ansari,Spyros N. Pandis +1 more
TL;DR: In this paper, an inorganic aerosol equilibrium model is used to investigate the response of inorganic particulate matter (PM) concentrations with respect to the precursor concentrations of sulfuric acid, ammonia, and nitric acid over a range of temperatures and relative humidities.
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Prediction of multicomponent inorganic atmospheric aerosol behavior
Asif S. Ansari,Spyros N. Pandis +1 more
TL;DR: In this article, the Gibbs free energy (GFE) minimization algorithm was used to predict aerosol deliquescence and efflorescence behavior in a multistage growth model.
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Marginal PM25: Nonlinear Aerosol Mass Response to Sulfate Reductions in the Eastern United States
TL;DR: It is found that seasonal-average conditions provide a reasonable indicator of the time-averaged PM2.5 response and that reductions in sulfate concentration may be up to 50% less effective at reducing the annual-average PM 2.5 than if the role of nitric acid is neglected.
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Water Absorption by Secondary Organic Aerosol and Its Effect on Inorganic Aerosol Behavior
Asif S. Ansari,Spyros N. Pandis +1 more
TL;DR: In this paper, a group contribution method was used to predict the water absorption of secondary organic aerosol (SOA) in the presence of SOA, and an integrated modeling approach was developed combining available SOA and inorganic aerosol models to predict overall aerosol behavior.
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Integrated approaches to modeling the organic and inorganic atmospheric aerosol components
TL;DR: In this paper, a series of modeling approaches for the description of the dynamic behavior of secondary organic aerosol (SOA) components and their interactions with inorganics is presented, and the models employ a lumped species approach based on available smog chamber studies and the UNIquac Functional-group Activity Coefficient (UNIFAC) method to estimate SOA water absorption.