Gas/particle mass transfer process plays an important role in
determining aerosol mass concentrations and shaping aerosol size
distribution. Its treatments in three dimensional (3-D) Air Quality
Models (AQMs), however, are largely uncertain. In this thesis work,
the gas/particle mass transfer approaches in an aerosol module are
improved and evaluated to identify an accurate yet computationally
efficient approach for use in 3-D AQMs. The aerosol module with the
improved gas/particle mass transfer approaches has been
incorporated into a state-of-science air quality forecasting (AQF)
system. The resulted modeling system has been applied in many cases
to investigate the air pollution issues in the United States. Using
the improved air quality modeling system, the prediction of air
quality under many circumstances is shown significantly improved.
Such improvement is a substantial contribution to the development
of next generation air quality numerical models.
General
Imprint: |
Lap Lambert Academic Publishing
|
Country of origin: |
Germany |
Release date: |
July 2011 |
First published: |
July 2011 |
Authors: |
Xiaoming Hu
|
Dimensions: |
229 x 152 x 24mm (L x W x T) |
Format: |
Paperback - Trade
|
Pages: |
420 |
ISBN-13: |
978-3-8454-1776-9 |
Categories: |
Books >
Earth & environment >
Earth sciences >
General
|
LSN: |
3-8454-1776-5 |
Barcode: |
9783845417769 |
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