NOTE: This item is not available outside the Texas A&M University network. Texas A&M affiliated users who are off campus can access the item through NetID and password authentication or by using TAMU VPN. Non-affiliated individuals should request a copy through their local library's interlibrary loan service.
An air pollution trajectory model for Southeast Texas
| dc.creator | Walters, Tamera Ann | |
| dc.date.accessioned | 2012-06-07T22:47:19Z | |
| dc.date.available | 2012-06-07T22:47:19Z | |
| dc.date.created | 1996 | |
| dc.date.issued | 1996 | |
| dc.identifier.uri | https://hdl.handle.net/1969.1/ETD-TAMU-1996-THESIS-W358 | |
| dc.description | Due to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to digital@library.tamu.edu, referencing the URI of the item. | en |
| dc.description | Includes bibliographical references. | en |
| dc.description | Issued also on microfiche from Lange Micrographics. | en |
| dc.description.abstract | Amounts of ozone for the Houston area are the second-highest within the United States. As a result of Houston's high ozone problem a task of finding new ways to control the ozone concentration was necessary for the Southeast Texas area (Lambeth et al. 1994). A hybrid Eulerian-Lagrangian model was optimized to examine the southeast Texas coastal region for high ozone development. Verification of the optinuzed air pollution model was performed by a case study for a day with high ozone concentration and a day with low ozone concentration having similar meteorological setup for the Houston area. The model chosen for study was the Hybrid Single-Particle Lagrangiank Model (HY-SPLIT). The verification used enhanced meteorological data sources for researching the phenomena which developed the ozone concentration problem. The meteorology of these case studies generated trajectories to observe the ozone distribution trends for the Texas coastal area.The analysis of the trajectories generated suggested that either the Nested Grid Model (NGM) or gridded rawinsonde data could be used for the HY-SPLIT model input. However for mesoscale features, the gridded rawinsonde data produced moreinput. However for mesoscale features, the gridded rawinsonde data produced more accurate trajectory tracings for study of ozone concentrations. As a result of this case study, mesoscale flow was determined to be a key factor in origination and distribution of source pollutants. The development of the sea breeze and its air content was crucial in determining the ozone content for the Southeast Texas region. Mixing associated with strong sea breeze and land breeze flows found low ozone concentrations in the region of interest. This strong sea breeze flow produced large parcel movement associated with the trajectories computed for this study. However with light winds, stable conditions, wann temperatures and high photochemical activity high ozone and shorter trajectories were seen for the Houston area. | en |
| dc.format.medium | electronic | en |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en_US | |
| dc.publisher | Texas A&M University | |
| dc.rights | This thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries in 2008. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use. | en |
| dc.subject | meteorology. | en |
| dc.subject | Major meteorology. | en |
| dc.title | An air pollution trajectory model for Southeast Texas | en |
| dc.type | Thesis | en |
| thesis.degree.discipline | meteorology | en |
| thesis.degree.name | M.S. | en |
| thesis.degree.level | Masters | en |
| dc.type.genre | thesis | en |
| dc.type.material | text | en |
| dc.format.digitalOrigin | reformatted digital | en |
Files in this item
This item appears in the following Collection(s)
-
Digitized Theses and Dissertations (1922–2004)
Texas A&M University Theses and Dissertations (1922–2004)
Request Open Access
This item and its contents are restricted. If this is your thesis or dissertation, you can make it open-access. This will allow all visitors to view the contents of the thesis.