Predicting carbon monoxide concentrations near roadway intersections : improvements to the TEXIN models /
The emission and dispersion of carbon monoxide near an intersection involves a large number of independent variables. Accurate prediction of this stochastic process is quite difficult to achieve. The Texas Intersection (TEXIN) models have become quite popular across the nation for predicting carbo...
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| Format: | Thesis Book |
| Language: | English |
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[Place of publication not identified] :
[publisher not identified] ;
1995.
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| Subjects: | |
| Online Access: | http://proxy.library.tamu.edu/login?url=http://proquest.umi.com/pqdweb?did=742744701&sid=1&Fmt=2&clientId=2945&RQT=309&VName=PQD |
| Summary: | The emission and dispersion of carbon monoxide near an intersection involves a large number of independent variables. Accurate prediction of this stochastic process is quite difficult to achieve. The Texas Intersection (TEXIN) models have become quite popular across the nation for predicting carbon monoxide concentrations near intersections for Environmental Impact Statement and State Implementation Plan preparation, as well as investigating different design alternatives in order to mitigate pollutant levels. In this work, the TEXIN2 model is revised and enhanced to more accurately predict carbon monoxide concentrations. Modifications to the TEXIN2 traffic and emissions algorithms resulted in significantly improved predictive accuracy for field data collected in Sacramento. No significant predictive impact was observed for data collected in Houston and College Station. TEXIN2 was also analyzed by two independent EPA studies comparing several different models to data from Melrose Park and New York City. TEXIN2 was noted as one of the top three performing models in both studies. The TEXIN3 model was developed in order to modernize and update the TEXIN2 model. TEXIN3 implements the 1985 Highway Capacity Manual, MOBILE5A, and CALINE4. MOBILE5A incorporates changes mandated by the 1990 Clean Air Act Amendments. The TEXIN3 model predicts the Sacramento and Houston data better than the TEXIN2 model, but underpredicts the College Station and West and Chambers Street intersection in New York City more than TEXIN2. |
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| Item Description: | Vita. "Major Subject: Chemical Engineering". |
| Physical Description: | xii, 183 leaves : illustrations ; 28 cm. Issued also on microfiche from University Microfilms Inc. |
| Bibliography: | Includes bibliographical references. |