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Title page for ETD etd-12022005-145617


Type of Document Dissertation
Author Lu, Jin
URN etd-12022005-145617
Title Improving the representation of multicomponent aerosols in numerical models
Degree PhD
Department Chemical Engineering
Advisory Committee
Advisor Name Title
Frank M. Bowman Committee Chair
Eugene J. LeBoeuf Committee Member
G. Kane Jennings Committee Member
Karl B. Schnelle, Jr. Committee Member
M. Douglas LeVan Committee Member
Keywords
  • numerical model
  • aerosol distribution conversion
  • secondary organic aerosol partitioning
  • multicomponent aerosol
  • externally mixed aerosol particles
  • Atmospheric aerosols -- Mathematical models
  • Air quality -- Mathematical models
Date of Defense 2005-11-14
Availability unrestricted
Abstract
This thesis is motivated by the need to improve performance of aerosol simulation in air quality models. I investigate the relationship between multicomponent aerosol sectional and modal distributions, which are the two primary methods used in air quality models. I present a new method for converting multicomponent aerosol distributions from sectional to modal representations with the conservation of both total and component mass. This method can be used to accurately compare distributions with different representations and to enhance the accuracy of hybrid aerosol numerical modules, where both sectional and modal methods are used to represent multicomponent aerosol distribution.

It has been shown that externally mixed particles behave differently in the atmosphere than do internally mixed ones. This thesis introduces a new definition to distinguish external and internal aerosol mixtures with the concept of a mixing criterion. I constructed a new aerosol model incorporating this definition, allowing it to treat aerosol particles as either external or internal mixture. The model includes a newly formulated coagulation process for external mixtures, where the coagulated particles are assigned to corresponding section and distribution based on their composition and size. Based on this model, I investigate the interactions between aerosol mixing state, semivolatile organic partitioning, and coagulation within a simplified urban scenario.

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