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University: Georgia Tech

You searched for subject:(Air quality). Showing records 1 – 30 of 46 total matches.

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Georgia Tech

1. Friberg, Mariel D. Using ground-based observations and satellite retrievals to constrain urban-to-regional-scale air quality chemical transport modeling.

Degree: PhD, Civil and Environmental Engineering, 2018, Georgia Tech

 The overarching goal of this research is to improve urban- and regional-scale air quality modeling for health risk assessment using a combination of ground-station and… (more)

Subjects/Keywords: Air quality

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APA (6th Edition):

Friberg, M. D. (2018). Using ground-based observations and satellite retrievals to constrain urban-to-regional-scale air quality chemical transport modeling. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59844

Chicago Manual of Style (16th Edition):

Friberg, Mariel D. “Using ground-based observations and satellite retrievals to constrain urban-to-regional-scale air quality chemical transport modeling.” 2018. Doctoral Dissertation, Georgia Tech. Accessed July 17, 2019. http://hdl.handle.net/1853/59844.

MLA Handbook (7th Edition):

Friberg, Mariel D. “Using ground-based observations and satellite retrievals to constrain urban-to-regional-scale air quality chemical transport modeling.” 2018. Web. 17 Jul 2019.

Vancouver:

Friberg MD. Using ground-based observations and satellite retrievals to constrain urban-to-regional-scale air quality chemical transport modeling. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/1853/59844.

Council of Science Editors:

Friberg MD. Using ground-based observations and satellite retrievals to constrain urban-to-regional-scale air quality chemical transport modeling. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/59844


Georgia Tech

2. Ivey, Cesunica Elizabeth. Integration of air quality data for improved estimates of PM2.5 source impacts.

Degree: PhD, Civil and Environmental Engineering, 2016, Georgia Tech

 Human exposure to air pollution is a known risk factor for the development or worsening of diseases and increased mortality. Traditionally, air quality data availability… (more)

Subjects/Keywords: Air quality modeling; Particulate matter

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APA (6th Edition):

Ivey, C. E. (2016). Integration of air quality data for improved estimates of PM2.5 source impacts. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55643

Chicago Manual of Style (16th Edition):

Ivey, Cesunica Elizabeth. “Integration of air quality data for improved estimates of PM2.5 source impacts.” 2016. Doctoral Dissertation, Georgia Tech. Accessed July 17, 2019. http://hdl.handle.net/1853/55643.

MLA Handbook (7th Edition):

Ivey, Cesunica Elizabeth. “Integration of air quality data for improved estimates of PM2.5 source impacts.” 2016. Web. 17 Jul 2019.

Vancouver:

Ivey CE. Integration of air quality data for improved estimates of PM2.5 source impacts. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/1853/55643.

Council of Science Editors:

Ivey CE. Integration of air quality data for improved estimates of PM2.5 source impacts. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55643


Georgia Tech

3. Trail, Marcus. Atlanta PM₂. ₅, 1999-2008: asaca data trends, quality, and application to ion sensitivity analysis.

Degree: MS, Civil and Environmental Engineering, 2010, Georgia Tech

 Beginning in March 1999 at Georgia Institute of Technology, the ASACA (Assessment of Spatial Aerosol Composition in Atlanta) program has provided PM₂. ₅ concentration and… (more)

Subjects/Keywords: Air pollution; PM₂. ₅; Air Pollution; Environmental monitoring; Air quality; Air Pollution Measurement

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APA (6th Edition):

Trail, M. (2010). Atlanta PM₂. ₅, 1999-2008: asaca data trends, quality, and application to ion sensitivity analysis. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/33853

Chicago Manual of Style (16th Edition):

Trail, Marcus. “Atlanta PM₂. ₅, 1999-2008: asaca data trends, quality, and application to ion sensitivity analysis.” 2010. Masters Thesis, Georgia Tech. Accessed July 17, 2019. http://hdl.handle.net/1853/33853.

MLA Handbook (7th Edition):

Trail, Marcus. “Atlanta PM₂. ₅, 1999-2008: asaca data trends, quality, and application to ion sensitivity analysis.” 2010. Web. 17 Jul 2019.

Vancouver:

Trail M. Atlanta PM₂. ₅, 1999-2008: asaca data trends, quality, and application to ion sensitivity analysis. [Internet] [Masters thesis]. Georgia Tech; 2010. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/1853/33853.

Council of Science Editors:

Trail M. Atlanta PM₂. ₅, 1999-2008: asaca data trends, quality, and application to ion sensitivity analysis. [Masters Thesis]. Georgia Tech; 2010. Available from: http://hdl.handle.net/1853/33853


Georgia Tech

4. Davis, Aika Yano. Predicting behaviors and effects of biomass burning.

Degree: PhD, Civil and Environmental Engineering, 2015, Georgia Tech

 Wildfires and prescribed burns are important sources of air pollutants and can significantly affect air quality at urban locations across large regions. Air quality forecasts… (more)

Subjects/Keywords: Air quality; Biomass burning; Fire emissions

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APA (6th Edition):

Davis, A. Y. (2015). Predicting behaviors and effects of biomass burning. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54843

Chicago Manual of Style (16th Edition):

Davis, Aika Yano. “Predicting behaviors and effects of biomass burning.” 2015. Doctoral Dissertation, Georgia Tech. Accessed July 17, 2019. http://hdl.handle.net/1853/54843.

MLA Handbook (7th Edition):

Davis, Aika Yano. “Predicting behaviors and effects of biomass burning.” 2015. Web. 17 Jul 2019.

Vancouver:

Davis AY. Predicting behaviors and effects of biomass burning. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/1853/54843.

Council of Science Editors:

Davis AY. Predicting behaviors and effects of biomass burning. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/54843


Georgia Tech

5. Durbrow, Richard. A regional strategy to improve air quality in Atlanta, Georgia.

Degree: MS, Public policy, 1996, Georgia Tech

Subjects/Keywords: Air quality Georgia

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APA (6th Edition):

Durbrow, R. (1996). A regional strategy to improve air quality in Atlanta, Georgia. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/30699

Chicago Manual of Style (16th Edition):

Durbrow, Richard. “A regional strategy to improve air quality in Atlanta, Georgia.” 1996. Masters Thesis, Georgia Tech. Accessed July 17, 2019. http://hdl.handle.net/1853/30699.

MLA Handbook (7th Edition):

Durbrow, Richard. “A regional strategy to improve air quality in Atlanta, Georgia.” 1996. Web. 17 Jul 2019.

Vancouver:

Durbrow R. A regional strategy to improve air quality in Atlanta, Georgia. [Internet] [Masters thesis]. Georgia Tech; 1996. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/1853/30699.

Council of Science Editors:

Durbrow R. A regional strategy to improve air quality in Atlanta, Georgia. [Masters Thesis]. Georgia Tech; 1996. Available from: http://hdl.handle.net/1853/30699


Georgia Tech

6. Mendoza Dominguez, Alberto. A four-dimensional data assimilation method for air quality modeling.

Degree: PhD, Environmental engineering, 2000, Georgia Tech

Subjects/Keywords: Air quality; Ozone; Air pollution

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APA (6th Edition):

Mendoza Dominguez, A. (2000). A four-dimensional data assimilation method for air quality modeling. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/33635

Chicago Manual of Style (16th Edition):

Mendoza Dominguez, Alberto. “A four-dimensional data assimilation method for air quality modeling.” 2000. Doctoral Dissertation, Georgia Tech. Accessed July 17, 2019. http://hdl.handle.net/1853/33635.

MLA Handbook (7th Edition):

Mendoza Dominguez, Alberto. “A four-dimensional data assimilation method for air quality modeling.” 2000. Web. 17 Jul 2019.

Vancouver:

Mendoza Dominguez A. A four-dimensional data assimilation method for air quality modeling. [Internet] [Doctoral dissertation]. Georgia Tech; 2000. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/1853/33635.

Council of Science Editors:

Mendoza Dominguez A. A four-dimensional data assimilation method for air quality modeling. [Doctoral Dissertation]. Georgia Tech; 2000. Available from: http://hdl.handle.net/1853/33635


Georgia Tech

7. Henneman, Lucas Richard Fath. Air pollution accountability: Assessing regulatory impacts on emissions and air quality.

Degree: PhD, Civil and Environmental Engineering, 2017, Georgia Tech

 The United States has seen large improvements in air quality over the last half century with the implementation of regulations designed to reduce air pollutant… (more)

Subjects/Keywords: Air pollution accountability; Air quality modeling; Atmospheric chemistry

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APA (6th Edition):

Henneman, L. R. F. (2017). Air pollution accountability: Assessing regulatory impacts on emissions and air quality. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60156

Chicago Manual of Style (16th Edition):

Henneman, Lucas Richard Fath. “Air pollution accountability: Assessing regulatory impacts on emissions and air quality.” 2017. Doctoral Dissertation, Georgia Tech. Accessed July 17, 2019. http://hdl.handle.net/1853/60156.

MLA Handbook (7th Edition):

Henneman, Lucas Richard Fath. “Air pollution accountability: Assessing regulatory impacts on emissions and air quality.” 2017. Web. 17 Jul 2019.

Vancouver:

Henneman LRF. Air pollution accountability: Assessing regulatory impacts on emissions and air quality. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/1853/60156.

Council of Science Editors:

Henneman LRF. Air pollution accountability: Assessing regulatory impacts on emissions and air quality. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/60156


Georgia Tech

8. Cleveland, Robert A. The role of communication in the policy dilution of ASHRAE Standard 62-89, "Ventilation for acceptable indoor air quality".

Degree: MS, Public policy, 1995, Georgia Tech

Subjects/Keywords: Indoor air pollution; Air/quality Standards

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APA (6th Edition):

Cleveland, R. A. (1995). The role of communication in the policy dilution of ASHRAE Standard 62-89, "Ventilation for acceptable indoor air quality". (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/29893

Chicago Manual of Style (16th Edition):

Cleveland, Robert A. “The role of communication in the policy dilution of ASHRAE Standard 62-89, "Ventilation for acceptable indoor air quality".” 1995. Masters Thesis, Georgia Tech. Accessed July 17, 2019. http://hdl.handle.net/1853/29893.

MLA Handbook (7th Edition):

Cleveland, Robert A. “The role of communication in the policy dilution of ASHRAE Standard 62-89, "Ventilation for acceptable indoor air quality".” 1995. Web. 17 Jul 2019.

Vancouver:

Cleveland RA. The role of communication in the policy dilution of ASHRAE Standard 62-89, "Ventilation for acceptable indoor air quality". [Internet] [Masters thesis]. Georgia Tech; 1995. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/1853/29893.

Council of Science Editors:

Cleveland RA. The role of communication in the policy dilution of ASHRAE Standard 62-89, "Ventilation for acceptable indoor air quality". [Masters Thesis]. Georgia Tech; 1995. Available from: http://hdl.handle.net/1853/29893


Georgia Tech

9. Kaynak, Burcak. Assimilation of trace gas retrievals obtained from satellite (SCIAMACHY), aircraft and ground observations into a regional scale air quality model (CMAQ-DDM/3D).

Degree: PhD, Civil and Environmental Engineering, 2009, Georgia Tech

 A major opportunity for using satellite observations of tropospheric chemical concentrations is to improve our scientific understanding of atmospheric processes by integrated analysis of satellite,… (more)

Subjects/Keywords: Remote sensing; Air pollution; Nitrogen dioxide; Air quality modeling; NOx emissions; Data assimilation; Tropospheric chemistry; Air Pollution

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APA (6th Edition):

Kaynak, B. (2009). Assimilation of trace gas retrievals obtained from satellite (SCIAMACHY), aircraft and ground observations into a regional scale air quality model (CMAQ-DDM/3D). (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/37134

Chicago Manual of Style (16th Edition):

Kaynak, Burcak. “Assimilation of trace gas retrievals obtained from satellite (SCIAMACHY), aircraft and ground observations into a regional scale air quality model (CMAQ-DDM/3D).” 2009. Doctoral Dissertation, Georgia Tech. Accessed July 17, 2019. http://hdl.handle.net/1853/37134.

MLA Handbook (7th Edition):

Kaynak, Burcak. “Assimilation of trace gas retrievals obtained from satellite (SCIAMACHY), aircraft and ground observations into a regional scale air quality model (CMAQ-DDM/3D).” 2009. Web. 17 Jul 2019.

Vancouver:

Kaynak B. Assimilation of trace gas retrievals obtained from satellite (SCIAMACHY), aircraft and ground observations into a regional scale air quality model (CMAQ-DDM/3D). [Internet] [Doctoral dissertation]. Georgia Tech; 2009. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/1853/37134.

Council of Science Editors:

Kaynak B. Assimilation of trace gas retrievals obtained from satellite (SCIAMACHY), aircraft and ground observations into a regional scale air quality model (CMAQ-DDM/3D). [Doctoral Dissertation]. Georgia Tech; 2009. Available from: http://hdl.handle.net/1853/37134


Georgia Tech

10. Boswell, Colin R. Atlanta automotive particulate matter exposure and evaluation.

Degree: MS, Civil and Environmental Engineering, 2010, Georgia Tech

 The following thesis titled, Atlanta Automotive Particulate Matter Exposure and Evaluation, presents data obtained as a part of a joint project with Emory University, Rollin's… (more)

Subjects/Keywords: Particulate matter; Mobile source emissions; Aerosols; Air quality; Air Pollution; Automobiles Motors Exhaust gas; Ecosystem health

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APA (6th Edition):

Boswell, C. R. (2010). Atlanta automotive particulate matter exposure and evaluation. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/34679

Chicago Manual of Style (16th Edition):

Boswell, Colin R. “Atlanta automotive particulate matter exposure and evaluation.” 2010. Masters Thesis, Georgia Tech. Accessed July 17, 2019. http://hdl.handle.net/1853/34679.

MLA Handbook (7th Edition):

Boswell, Colin R. “Atlanta automotive particulate matter exposure and evaluation.” 2010. Web. 17 Jul 2019.

Vancouver:

Boswell CR. Atlanta automotive particulate matter exposure and evaluation. [Internet] [Masters thesis]. Georgia Tech; 2010. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/1853/34679.

Council of Science Editors:

Boswell CR. Atlanta automotive particulate matter exposure and evaluation. [Masters Thesis]. Georgia Tech; 2010. Available from: http://hdl.handle.net/1853/34679


Georgia Tech

11. Hakami, Amir. Direct sensitivity analysis in air quality models.

Degree: PhD, Civil and Environmental Engineering, 2003, Georgia Tech

Subjects/Keywords: Ozone; Air quality Mathematical models; Ozone; Air quality Mathematical models

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APA (6th Edition):

Hakami, A. (2003). Direct sensitivity analysis in air quality models. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/5406

Chicago Manual of Style (16th Edition):

Hakami, Amir. “Direct sensitivity analysis in air quality models.” 2003. Doctoral Dissertation, Georgia Tech. Accessed July 17, 2019. http://hdl.handle.net/1853/5406.

MLA Handbook (7th Edition):

Hakami, Amir. “Direct sensitivity analysis in air quality models.” 2003. Web. 17 Jul 2019.

Vancouver:

Hakami A. Direct sensitivity analysis in air quality models. [Internet] [Doctoral dissertation]. Georgia Tech; 2003. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/1853/5406.

Council of Science Editors:

Hakami A. Direct sensitivity analysis in air quality models. [Doctoral Dissertation]. Georgia Tech; 2003. Available from: http://hdl.handle.net/1853/5406


Georgia Tech

12. Liao, Kuo-Jen. Sensitivity and uncertainty analyses of impacts of climate change on regional air quality.

Degree: PhD, Civil and Environmental Engineering, 2008, Georgia Tech

 Climate change is forecast to affect ambient temperatures, precipitation frequency and stagnation conditions, all of which impact regional air quality. An issue of primary importance… (more)

Subjects/Keywords: Sensitivity; Uncertainty; Climate change; Air quality; Climatic changes; Air quality management

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APA (6th Edition):

Liao, K. (2008). Sensitivity and uncertainty analyses of impacts of climate change on regional air quality. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/24822

Chicago Manual of Style (16th Edition):

Liao, Kuo-Jen. “Sensitivity and uncertainty analyses of impacts of climate change on regional air quality.” 2008. Doctoral Dissertation, Georgia Tech. Accessed July 17, 2019. http://hdl.handle.net/1853/24822.

MLA Handbook (7th Edition):

Liao, Kuo-Jen. “Sensitivity and uncertainty analyses of impacts of climate change on regional air quality.” 2008. Web. 17 Jul 2019.

Vancouver:

Liao K. Sensitivity and uncertainty analyses of impacts of climate change on regional air quality. [Internet] [Doctoral dissertation]. Georgia Tech; 2008. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/1853/24822.

Council of Science Editors:

Liao K. Sensitivity and uncertainty analyses of impacts of climate change on regional air quality. [Doctoral Dissertation]. Georgia Tech; 2008. Available from: http://hdl.handle.net/1853/24822

13. Metcalf, Francesca. Data fusion of monitor data and chemical transport model simulations.

Degree: MS, Civil and Environmental Engineering, 2017, Georgia Tech

 Associations between air quality and acute health effects vary across pollutants and across spatial and temporal metrics of concentration. Studies that investigate these associations require… (more)

Subjects/Keywords: Data fusion; Ambient air quality; CMAQ; Air quality modeling

…SUMMARY Associations between air quality and acute health effects vary across pollutants… …associations between air quality and morbidity and mortality have been a topic of close investigation… …x28;Ozkaynak, et al., 2009). The associations between health and ambient air quality… …networks are known to give air quality measurements with low amounts of error. In a study done by… …models (Stockwell, 2012). In this study, the Community Multi-scale Air Quality (… 

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APA (6th Edition):

Metcalf, F. (2017). Data fusion of monitor data and chemical transport model simulations. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/58335

Chicago Manual of Style (16th Edition):

Metcalf, Francesca. “Data fusion of monitor data and chemical transport model simulations.” 2017. Masters Thesis, Georgia Tech. Accessed July 17, 2019. http://hdl.handle.net/1853/58335.

MLA Handbook (7th Edition):

Metcalf, Francesca. “Data fusion of monitor data and chemical transport model simulations.” 2017. Web. 17 Jul 2019.

Vancouver:

Metcalf F. Data fusion of monitor data and chemical transport model simulations. [Internet] [Masters thesis]. Georgia Tech; 2017. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/1853/58335.

Council of Science Editors:

Metcalf F. Data fusion of monitor data and chemical transport model simulations. [Masters Thesis]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/58335


Georgia Tech

14. Lowe, Miranda Jeanne. Sources of Ambient Sulfur Dioxide (SO₂) in the Metro Atlanta Area.

Degree: MS, Civil and Environmental Engineering, 2007, Georgia Tech

 Sulfur Dioxide (SO2) is a difficult air pollutant to characterize spatially since it is primarily emitted from a few point sources typically having tall stacks.… (more)

Subjects/Keywords: Air quality; Sulfur dioxide; Point sources

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APA (6th Edition):

Lowe, M. J. (2007). Sources of Ambient Sulfur Dioxide (SO₂) in the Metro Atlanta Area. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/14514

Chicago Manual of Style (16th Edition):

Lowe, Miranda Jeanne. “Sources of Ambient Sulfur Dioxide (SO₂) in the Metro Atlanta Area.” 2007. Masters Thesis, Georgia Tech. Accessed July 17, 2019. http://hdl.handle.net/1853/14514.

MLA Handbook (7th Edition):

Lowe, Miranda Jeanne. “Sources of Ambient Sulfur Dioxide (SO₂) in the Metro Atlanta Area.” 2007. Web. 17 Jul 2019.

Vancouver:

Lowe MJ. Sources of Ambient Sulfur Dioxide (SO₂) in the Metro Atlanta Area. [Internet] [Masters thesis]. Georgia Tech; 2007. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/1853/14514.

Council of Science Editors:

Lowe MJ. Sources of Ambient Sulfur Dioxide (SO₂) in the Metro Atlanta Area. [Masters Thesis]. Georgia Tech; 2007. Available from: http://hdl.handle.net/1853/14514


Georgia Tech

15. Galvis Remolina, Boris. Characterizing the emissions of fine particulate matter in the vicinity of a rail yard.

Degree: PhD, Civil and Environmental Engineering, 2013, Georgia Tech

 Aerosol emissions from diesel combustion and other activities in rail yards can affect the health of urban populations. Fine particulate (PM[subscript 2.5]) concentrations near the… (more)

Subjects/Keywords: Air quality impact from rail yards; Black carbon; Fine particulate matter; Acsm

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APA (6th Edition):

Galvis Remolina, B. (2013). Characterizing the emissions of fine particulate matter in the vicinity of a rail yard. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/52927

Chicago Manual of Style (16th Edition):

Galvis Remolina, Boris. “Characterizing the emissions of fine particulate matter in the vicinity of a rail yard.” 2013. Doctoral Dissertation, Georgia Tech. Accessed July 17, 2019. http://hdl.handle.net/1853/52927.

MLA Handbook (7th Edition):

Galvis Remolina, Boris. “Characterizing the emissions of fine particulate matter in the vicinity of a rail yard.” 2013. Web. 17 Jul 2019.

Vancouver:

Galvis Remolina B. Characterizing the emissions of fine particulate matter in the vicinity of a rail yard. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/1853/52927.

Council of Science Editors:

Galvis Remolina B. Characterizing the emissions of fine particulate matter in the vicinity of a rail yard. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/52927


Georgia Tech

16. Hutcherson, Sarne Makel. Theoretical and Numerical Studies of the Air Damping of Micro-Resonators in the Non-Continuum Regime.

Degree: MS, Mechanical Engineering, 2004, Georgia Tech

 Micromechanical resonators are used in a variety of sensing and filtering applications. In these applications, the accurate performance of micro resonators depends on the sensitivity… (more)

Subjects/Keywords: Quality factor; Resonators; MEMS; Air damping

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APA (6th Edition):

Hutcherson, S. M. (2004). Theoretical and Numerical Studies of the Air Damping of Micro-Resonators in the Non-Continuum Regime. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/4871

Chicago Manual of Style (16th Edition):

Hutcherson, Sarne Makel. “Theoretical and Numerical Studies of the Air Damping of Micro-Resonators in the Non-Continuum Regime.” 2004. Masters Thesis, Georgia Tech. Accessed July 17, 2019. http://hdl.handle.net/1853/4871.

MLA Handbook (7th Edition):

Hutcherson, Sarne Makel. “Theoretical and Numerical Studies of the Air Damping of Micro-Resonators in the Non-Continuum Regime.” 2004. Web. 17 Jul 2019.

Vancouver:

Hutcherson SM. Theoretical and Numerical Studies of the Air Damping of Micro-Resonators in the Non-Continuum Regime. [Internet] [Masters thesis]. Georgia Tech; 2004. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/1853/4871.

Council of Science Editors:

Hutcherson SM. Theoretical and Numerical Studies of the Air Damping of Micro-Resonators in the Non-Continuum Regime. [Masters Thesis]. Georgia Tech; 2004. Available from: http://hdl.handle.net/1853/4871


Georgia Tech

17. Bergin, Michelle Silvagni. Regional Air Quality: Photochemical Modeling for Policy Development and Regulatory Support.

Degree: PhD, Civil and Environmental Engineering, 2006, Georgia Tech

 Two long-standing air quality challenges in the United States are the control of tropospheric ozone and particulate matter, both of which are responsible for widespread… (more)

Subjects/Keywords: Air quality; Sensitivity; Particulate matter; Ozone; Environmental policy; Air pollution; Regional air quality; Photochemical modeling; Air quality; Photochemistry; Environmental policy; Tropospheric chemistry; Ozone; Computer simulation

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APA (6th Edition):

Bergin, M. S. (2006). Regional Air Quality: Photochemical Modeling for Policy Development and Regulatory Support. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/19773

Chicago Manual of Style (16th Edition):

Bergin, Michelle Silvagni. “Regional Air Quality: Photochemical Modeling for Policy Development and Regulatory Support.” 2006. Doctoral Dissertation, Georgia Tech. Accessed July 17, 2019. http://hdl.handle.net/1853/19773.

MLA Handbook (7th Edition):

Bergin, Michelle Silvagni. “Regional Air Quality: Photochemical Modeling for Policy Development and Regulatory Support.” 2006. Web. 17 Jul 2019.

Vancouver:

Bergin MS. Regional Air Quality: Photochemical Modeling for Policy Development and Regulatory Support. [Internet] [Doctoral dissertation]. Georgia Tech; 2006. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/1853/19773.

Council of Science Editors:

Bergin MS. Regional Air Quality: Photochemical Modeling for Policy Development and Regulatory Support. [Doctoral Dissertation]. Georgia Tech; 2006. Available from: http://hdl.handle.net/1853/19773


Georgia Tech

18. Park, Sun-kyoung. Particulate Modeling and Control Strategy of Atlanta, Georgia.

Degree: PhD, Civil and Environmental Engineering, 2005, Georgia Tech

 Particles reduce visibility, change climate, and affect human health. In 1997, the National Ambient Air Quality Standard (NAAQS) for PM2.5 (particles less than 2.5 mm)… (more)

Subjects/Keywords: Air quality modeling; PM2.5; CMAQ; Source apportionment; Uncertainty analysis; Particles Mathematical models; Air Pollution Georgia Atlanta; Air quality management; Air quality Computer simulation

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APA (6th Edition):

Park, S. (2005). Particulate Modeling and Control Strategy of Atlanta, Georgia. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/7541

Chicago Manual of Style (16th Edition):

Park, Sun-kyoung. “Particulate Modeling and Control Strategy of Atlanta, Georgia.” 2005. Doctoral Dissertation, Georgia Tech. Accessed July 17, 2019. http://hdl.handle.net/1853/7541.

MLA Handbook (7th Edition):

Park, Sun-kyoung. “Particulate Modeling and Control Strategy of Atlanta, Georgia.” 2005. Web. 17 Jul 2019.

Vancouver:

Park S. Particulate Modeling and Control Strategy of Atlanta, Georgia. [Internet] [Doctoral dissertation]. Georgia Tech; 2005. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/1853/7541.

Council of Science Editors:

Park S. Particulate Modeling and Control Strategy of Atlanta, Georgia. [Doctoral Dissertation]. Georgia Tech; 2005. Available from: http://hdl.handle.net/1853/7541

19. Land, Eva Miriam. Photocatalytic degradation of NOX, VOCs, and chloramines by TiO2 impregnated surfaces.

Degree: MS, Civil and Environmental Engineering, 2010, Georgia Tech

 Experiments were conducted to determine the photocatalytic degradation of three types of gas-phase compounds, NOX, VOCs, and chloramines, by TiO2 impregnated tiles. The oxides of… (more)

Subjects/Keywords: Indoor air; Air pollution; NH2Cl; Indoor air pollution; Indoor air pollution Research; Indoor air quality; Photocatalysis; Air Purification Photocatalysis

…the flow cell using a NO analyzer manufactured by Air Quality Design. In addition to NO, the… …by Air Quality Design upstream of the NO analyzer. The concentrations of NOy (NOx… …tiles under exposure to both NO and NO2 concentrations in simulated ambient air. The reactor… …was also used to assess NOx degradation for sampled ambient air. In order to determine the… …amount of NOy removed from the air stream passing over the tiles was 40%. For NO2, the fraction… 

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APA (6th Edition):

Land, E. M. (2010). Photocatalytic degradation of NOX, VOCs, and chloramines by TiO2 impregnated surfaces. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/34857

Chicago Manual of Style (16th Edition):

Land, Eva Miriam. “Photocatalytic degradation of NOX, VOCs, and chloramines by TiO2 impregnated surfaces.” 2010. Masters Thesis, Georgia Tech. Accessed July 17, 2019. http://hdl.handle.net/1853/34857.

MLA Handbook (7th Edition):

Land, Eva Miriam. “Photocatalytic degradation of NOX, VOCs, and chloramines by TiO2 impregnated surfaces.” 2010. Web. 17 Jul 2019.

Vancouver:

Land EM. Photocatalytic degradation of NOX, VOCs, and chloramines by TiO2 impregnated surfaces. [Internet] [Masters thesis]. Georgia Tech; 2010. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/1853/34857.

Council of Science Editors:

Land EM. Photocatalytic degradation of NOX, VOCs, and chloramines by TiO2 impregnated surfaces. [Masters Thesis]. Georgia Tech; 2010. Available from: http://hdl.handle.net/1853/34857


Georgia Tech

20. Napelenok, Sergey L. Sensitivity Analysis in Air Quality Models for Particulate Matter.

Degree: PhD, Civil and Environmental Engineering, 2006, Georgia Tech

 Fine particulate matter (PM2.5) has been associated with a variety of problems that include adverse health effects, reduction in visibility, damage to buildings and crops,… (more)

Subjects/Keywords: Sensitivity analysis; Atmospheric modeling; Particulate matter; Decoupled direct method; Air quality; Dust Measurement; Air Pollution; Air quality management

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APA (6th Edition):

Napelenok, S. L. (2006). Sensitivity Analysis in Air Quality Models for Particulate Matter. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/14083

Chicago Manual of Style (16th Edition):

Napelenok, Sergey L. “Sensitivity Analysis in Air Quality Models for Particulate Matter.” 2006. Doctoral Dissertation, Georgia Tech. Accessed July 17, 2019. http://hdl.handle.net/1853/14083.

MLA Handbook (7th Edition):

Napelenok, Sergey L. “Sensitivity Analysis in Air Quality Models for Particulate Matter.” 2006. Web. 17 Jul 2019.

Vancouver:

Napelenok SL. Sensitivity Analysis in Air Quality Models for Particulate Matter. [Internet] [Doctoral dissertation]. Georgia Tech; 2006. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/1853/14083.

Council of Science Editors:

Napelenok SL. Sensitivity Analysis in Air Quality Models for Particulate Matter. [Doctoral Dissertation]. Georgia Tech; 2006. Available from: http://hdl.handle.net/1853/14083


Georgia Tech

21. Tian, Di. Evaluation of emission uncertainties and their impacts on air quality modeling: applications to biomass burning.

Degree: PhD, Civil and Environmental Engineering, 2006, Georgia Tech

Air pollution has changed from an urban environmental problem to a phenomenon spreading to state, country and even global scales. In response, a variety of… (more)

Subjects/Keywords: Biomass burning; Uncertainty analysis; Prescribed forest fires; Air quality modeling; Forest management; Smoke; Air Pollution; Air quality; Burning of land

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APA (6th Edition):

Tian, D. (2006). Evaluation of emission uncertainties and their impacts on air quality modeling: applications to biomass burning. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/26689

Chicago Manual of Style (16th Edition):

Tian, Di. “Evaluation of emission uncertainties and their impacts on air quality modeling: applications to biomass burning.” 2006. Doctoral Dissertation, Georgia Tech. Accessed July 17, 2019. http://hdl.handle.net/1853/26689.

MLA Handbook (7th Edition):

Tian, Di. “Evaluation of emission uncertainties and their impacts on air quality modeling: applications to biomass burning.” 2006. Web. 17 Jul 2019.

Vancouver:

Tian D. Evaluation of emission uncertainties and their impacts on air quality modeling: applications to biomass burning. [Internet] [Doctoral dissertation]. Georgia Tech; 2006. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/1853/26689.

Council of Science Editors:

Tian D. Evaluation of emission uncertainties and their impacts on air quality modeling: applications to biomass burning. [Doctoral Dissertation]. Georgia Tech; 2006. Available from: http://hdl.handle.net/1853/26689


Georgia Tech

22. Yan, Bo. Characterization and source apportionment of ambient PM2.5 in Atlanta, Georgia: on-road emission, biomass burning and SOA impact.

Degree: PhD, Earth and Atmospheric Sciences, 2009, Georgia Tech

 Characterization and Source Apportionment of Ambient PM2.5 in Atlanta, Georgia: On-Road Emission, Biomass Burning and SOA Impact Bo Yan 260 Pages Directed by Drs. Armistead… (more)

Subjects/Keywords: SOA tracers; WSOC; GC/MS quantified organic compounds; Wildfire; Prescribed burning; Secondary organic carbon; PM2.5 speciation; On-road emissions; Source apportionment; New source profiles; Air Pollution; Air quality; Air quality management

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APA (6th Edition):

Yan, B. (2009). Characterization and source apportionment of ambient PM2.5 in Atlanta, Georgia: on-road emission, biomass burning and SOA impact. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/37151

Chicago Manual of Style (16th Edition):

Yan, Bo. “Characterization and source apportionment of ambient PM2.5 in Atlanta, Georgia: on-road emission, biomass burning and SOA impact.” 2009. Doctoral Dissertation, Georgia Tech. Accessed July 17, 2019. http://hdl.handle.net/1853/37151.

MLA Handbook (7th Edition):

Yan, Bo. “Characterization and source apportionment of ambient PM2.5 in Atlanta, Georgia: on-road emission, biomass burning and SOA impact.” 2009. Web. 17 Jul 2019.

Vancouver:

Yan B. Characterization and source apportionment of ambient PM2.5 in Atlanta, Georgia: on-road emission, biomass burning and SOA impact. [Internet] [Doctoral dissertation]. Georgia Tech; 2009. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/1853/37151.

Council of Science Editors:

Yan B. Characterization and source apportionment of ambient PM2.5 in Atlanta, Georgia: on-road emission, biomass burning and SOA impact. [Doctoral Dissertation]. Georgia Tech; 2009. Available from: http://hdl.handle.net/1853/37151

23. Akhtar, Farhan Hussain. Use of inverse modeling in air quality management.

Degree: PhD, Earth and Atmospheric Sciences, 2009, Georgia Tech

 Inverse modeling has been used in the past to constrain atmospheric model parameters, particularly emission estimates, based upon ambient measurements. Here, inverse modeling is applied… (more)

Subjects/Keywords: Inverse methods; Air pollution policy; Urban and city planning; Air quality management; Air quality

…Work 131 6.1 Inverse modeling in air quality management 131 6.2 Future Work 135 6.3… …Modeling Domain, Fall Line Air Quality Study 78 Figure 4.2: Theoretical least cost curves for… …Figure 6.1: Proposed integrative air quality management system. 132 xi LIST OF SYMBOLS AND… …ABBREVIATIONS Anthropogenic Volatile Organic Compounds AVOC AQM Air Quality Models CAIR Clean… …Air Interstate Rule CMAQ Community Multiscale Air Quality model Compensating Variation CV… 

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

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APA (6th Edition):

Akhtar, F. H. (2009). Use of inverse modeling in air quality management. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/37213

Chicago Manual of Style (16th Edition):

Akhtar, Farhan Hussain. “Use of inverse modeling in air quality management.” 2009. Doctoral Dissertation, Georgia Tech. Accessed July 17, 2019. http://hdl.handle.net/1853/37213.

MLA Handbook (7th Edition):

Akhtar, Farhan Hussain. “Use of inverse modeling in air quality management.” 2009. Web. 17 Jul 2019.

Vancouver:

Akhtar FH. Use of inverse modeling in air quality management. [Internet] [Doctoral dissertation]. Georgia Tech; 2009. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/1853/37213.

Council of Science Editors:

Akhtar FH. Use of inverse modeling in air quality management. [Doctoral Dissertation]. Georgia Tech; 2009. Available from: http://hdl.handle.net/1853/37213


Georgia Tech

24. Maxwell-Meier, Kari Lynn. Urban Impacts On Atmospheric Chemistry: Surface Ozone in Large Versus Small Urban Centers and Urban Pollution in Asian Dust Storms.

Degree: PhD, Earth and Atmospheric Sciences, 2006, Georgia Tech

 In Part 1, we separated surface ozone time series collected from EPA monitoring sites in and around Georgia from 1980-2002 using a Kolmogorov -Zurbenko Filter… (more)

Subjects/Keywords: Calcium dust; Ozone; Atmospheric; Atmospheric chemistry; Ozone; Air quality; Air Pollution

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APA (6th Edition):

Maxwell-Meier, K. L. (2006). Urban Impacts On Atmospheric Chemistry: Surface Ozone in Large Versus Small Urban Centers and Urban Pollution in Asian Dust Storms. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/13981

Chicago Manual of Style (16th Edition):

Maxwell-Meier, Kari Lynn. “Urban Impacts On Atmospheric Chemistry: Surface Ozone in Large Versus Small Urban Centers and Urban Pollution in Asian Dust Storms.” 2006. Doctoral Dissertation, Georgia Tech. Accessed July 17, 2019. http://hdl.handle.net/1853/13981.

MLA Handbook (7th Edition):

Maxwell-Meier, Kari Lynn. “Urban Impacts On Atmospheric Chemistry: Surface Ozone in Large Versus Small Urban Centers and Urban Pollution in Asian Dust Storms.” 2006. Web. 17 Jul 2019.

Vancouver:

Maxwell-Meier KL. Urban Impacts On Atmospheric Chemistry: Surface Ozone in Large Versus Small Urban Centers and Urban Pollution in Asian Dust Storms. [Internet] [Doctoral dissertation]. Georgia Tech; 2006. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/1853/13981.

Council of Science Editors:

Maxwell-Meier KL. Urban Impacts On Atmospheric Chemistry: Surface Ozone in Large Versus Small Urban Centers and Urban Pollution in Asian Dust Storms. [Doctoral Dissertation]. Georgia Tech; 2006. Available from: http://hdl.handle.net/1853/13981


Georgia Tech

25. Cobb, Charles Evan. Spatial and temporal variations of PM2.5 mass and composition in Atlanta: ASACA 1999 2006.

Degree: MS, Civil and Environmental Engineering, 2006, Georgia Tech

 Starting in March of 1999, the ASACA study has measured PM2.5 mass and composition using 24-hr integrated and continuous measurement techniques. The ASACA network has… (more)

Subjects/Keywords: Particulate matter; PM2.5; Aerosols; Atlanta; Air quality

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APA (6th Edition):

Cobb, C. E. (2006). Spatial and temporal variations of PM2.5 mass and composition in Atlanta: ASACA 1999 2006. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/14126

Chicago Manual of Style (16th Edition):

Cobb, Charles Evan. “Spatial and temporal variations of PM2.5 mass and composition in Atlanta: ASACA 1999 2006.” 2006. Masters Thesis, Georgia Tech. Accessed July 17, 2019. http://hdl.handle.net/1853/14126.

MLA Handbook (7th Edition):

Cobb, Charles Evan. “Spatial and temporal variations of PM2.5 mass and composition in Atlanta: ASACA 1999 2006.” 2006. Web. 17 Jul 2019.

Vancouver:

Cobb CE. Spatial and temporal variations of PM2.5 mass and composition in Atlanta: ASACA 1999 2006. [Internet] [Masters thesis]. Georgia Tech; 2006. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/1853/14126.

Council of Science Editors:

Cobb CE. Spatial and temporal variations of PM2.5 mass and composition in Atlanta: ASACA 1999 2006. [Masters Thesis]. Georgia Tech; 2006. Available from: http://hdl.handle.net/1853/14126


Georgia Tech

26. Li, Kuan-Ming. Predictive Modeling of Near Dry Machining: Mechanical Performance and Environmental Impact.

Degree: PhD, Mechanical Engineering, 2006, Georgia Tech

 The objective of this study is to develop a methodology to analyze the air quality and tool performance in turning process under near-dry condition. Near… (more)

Subjects/Keywords: Air quality; Tool life; Modeling; Near dry machining

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APA (6th Edition):

Li, K. (2006). Predictive Modeling of Near Dry Machining: Mechanical Performance and Environmental Impact. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/11518

Chicago Manual of Style (16th Edition):

Li, Kuan-Ming. “Predictive Modeling of Near Dry Machining: Mechanical Performance and Environmental Impact.” 2006. Doctoral Dissertation, Georgia Tech. Accessed July 17, 2019. http://hdl.handle.net/1853/11518.

MLA Handbook (7th Edition):

Li, Kuan-Ming. “Predictive Modeling of Near Dry Machining: Mechanical Performance and Environmental Impact.” 2006. Web. 17 Jul 2019.

Vancouver:

Li K. Predictive Modeling of Near Dry Machining: Mechanical Performance and Environmental Impact. [Internet] [Doctoral dissertation]. Georgia Tech; 2006. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/1853/11518.

Council of Science Editors:

Li K. Predictive Modeling of Near Dry Machining: Mechanical Performance and Environmental Impact. [Doctoral Dissertation]. Georgia Tech; 2006. Available from: http://hdl.handle.net/1853/11518


Georgia Tech

27. Naeli, Kianoush. Optimization of piezoresistive cantilevers for static and dynamic sensing applications.

Degree: PhD, Electrical and Computer Engineering, 2009, Georgia Tech

 The presented work aims to optimize the performance of piezoresistive cantilevers in cases where the output signal originates either from a static deflection of the… (more)

Subjects/Keywords: Quality factor; Resonator; Cantilever; MEMS; Air damping; Flexural mode; Stress Concentration; Temperature compensation; Mass sensor; Piezoresistance; Strain gauge; Detectors; Piezoelectric transducers

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APA (6th Edition):

Naeli, K. (2009). Optimization of piezoresistive cantilevers for static and dynamic sensing applications. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/28247

Chicago Manual of Style (16th Edition):

Naeli, Kianoush. “Optimization of piezoresistive cantilevers for static and dynamic sensing applications.” 2009. Doctoral Dissertation, Georgia Tech. Accessed July 17, 2019. http://hdl.handle.net/1853/28247.

MLA Handbook (7th Edition):

Naeli, Kianoush. “Optimization of piezoresistive cantilevers for static and dynamic sensing applications.” 2009. Web. 17 Jul 2019.

Vancouver:

Naeli K. Optimization of piezoresistive cantilevers for static and dynamic sensing applications. [Internet] [Doctoral dissertation]. Georgia Tech; 2009. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/1853/28247.

Council of Science Editors:

Naeli K. Optimization of piezoresistive cantilevers for static and dynamic sensing applications. [Doctoral Dissertation]. Georgia Tech; 2009. Available from: http://hdl.handle.net/1853/28247

28. Baek, Jaemeen. Improving aerosol simulations: assessing and improving emissions and secondary organic aerosol formation in air quality modeling.

Degree: PhD, Civil and Environmental Engineering, 2009, Georgia Tech

 Both long-term and short-term exposure to fine particulate matter (PM2.5) has been shown to increase the rate of respiratory and cardiovascular illness, premature death, and… (more)

Subjects/Keywords: CMAQ; PM2.5; Secondary organic aerosol; Source apportionment; Air quality; Air Pollution; Air Pollution Measurement

…Atlanta CEM Continuous emission monitors CMAQ Community multiscale air quality CMB… …establish effective regulation, and air quality model can provide guidance based on the best… …scientific understanding available. However, PM2.5 simulations in air quality models have often… …major shortcomings of current air quality model are addressed and improved by using CMAQ… …population lives in areas with unhealthy air as defined by National Ambient Air Quality Standard… 

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APA (6th Edition):

Baek, J. (2009). Improving aerosol simulations: assessing and improving emissions and secondary organic aerosol formation in air quality modeling. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/37249

Chicago Manual of Style (16th Edition):

Baek, Jaemeen. “Improving aerosol simulations: assessing and improving emissions and secondary organic aerosol formation in air quality modeling.” 2009. Doctoral Dissertation, Georgia Tech. Accessed July 17, 2019. http://hdl.handle.net/1853/37249.

MLA Handbook (7th Edition):

Baek, Jaemeen. “Improving aerosol simulations: assessing and improving emissions and secondary organic aerosol formation in air quality modeling.” 2009. Web. 17 Jul 2019.

Vancouver:

Baek J. Improving aerosol simulations: assessing and improving emissions and secondary organic aerosol formation in air quality modeling. [Internet] [Doctoral dissertation]. Georgia Tech; 2009. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/1853/37249.

Council of Science Editors:

Baek J. Improving aerosol simulations: assessing and improving emissions and secondary organic aerosol formation in air quality modeling. [Doctoral Dissertation]. Georgia Tech; 2009. Available from: http://hdl.handle.net/1853/37249

29. Liu, Zhen. Characterizing the photochemical environment over China.

Degree: PhD, Earth and Atmospheric Sciences, 2012, Georgia Tech

 The rapid rising anthropogenic emissions driven by economic growth over China documented by satellite observations and bottom-up inventories have led to severely degraded air quality,… (more)

Subjects/Keywords: Air pollution; Photochemistry; Emissions; China; Tropospheric chemistry; Air Pollution Research; Aerosols; Photochemical smog; Air quality

…Radiometer Campaign for Air quality REsearch over Beijing CIMS Chemical Ionization Mass… …and caused severely degraded air quality. Furthermore, the increased emissions over China… …region can also affect air quality over regions downwind through long range transport [… …and have become a routine exercise in emission monitoring and air quality modeling, research… …during Campaigns of Air quality REsearch in Beijing (CAREBeijing) in August of 2007… 

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APA (6th Edition):

Liu, Z. (2012). Characterizing the photochemical environment over China. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/43668

Chicago Manual of Style (16th Edition):

Liu, Zhen. “Characterizing the photochemical environment over China.” 2012. Doctoral Dissertation, Georgia Tech. Accessed July 17, 2019. http://hdl.handle.net/1853/43668.

MLA Handbook (7th Edition):

Liu, Zhen. “Characterizing the photochemical environment over China.” 2012. Web. 17 Jul 2019.

Vancouver:

Liu Z. Characterizing the photochemical environment over China. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/1853/43668.

Council of Science Editors:

Liu Z. Characterizing the photochemical environment over China. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/43668

30. Maier, Marissa Leigh. Application of an ensemble-trained source apportionment method to speciated pm2.5 data at the st. louis midwest supersite.

Degree: MS, Civil and Environmental Engineering, 2012, Georgia Tech

 Four receptor models and a chemical transport model were used to quantify the sources of PM2.5 impacting the St. Louis Supersite (STL-SS) between June 2001… (more)

Subjects/Keywords: Air quality; Particulate matter; Source apportioment; Air Pollution; Air Analysis; Aerosols

Quality Model Community Multiscale Air Quality Model Tracer Method CMB CMB-MM Chemical Mass… …Air Quality Model tracer method (CMAQ-TR). Source contributions predicted by PMF… …Contributions and Uncertainties Calculated using CMB-MM Community Multi-scale Air Quality Model Baek… …Air Quality Model (CMAQ-TR). The CMAQ-TR model used DDM-3D to investigate first… …Removal flux Velocity viii List of Abbreviations CMAQ CMAQ-TR Community Multiscale Air… 

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APA (6th Edition):

Maier, M. L. (2012). Application of an ensemble-trained source apportionment method to speciated pm2.5 data at the st. louis midwest supersite. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/44755

Chicago Manual of Style (16th Edition):

Maier, Marissa Leigh. “Application of an ensemble-trained source apportionment method to speciated pm2.5 data at the st. louis midwest supersite.” 2012. Masters Thesis, Georgia Tech. Accessed July 17, 2019. http://hdl.handle.net/1853/44755.

MLA Handbook (7th Edition):

Maier, Marissa Leigh. “Application of an ensemble-trained source apportionment method to speciated pm2.5 data at the st. louis midwest supersite.” 2012. Web. 17 Jul 2019.

Vancouver:

Maier ML. Application of an ensemble-trained source apportionment method to speciated pm2.5 data at the st. louis midwest supersite. [Internet] [Masters thesis]. Georgia Tech; 2012. [cited 2019 Jul 17]. Available from: http://hdl.handle.net/1853/44755.

Council of Science Editors:

Maier ML. Application of an ensemble-trained source apportionment method to speciated pm2.5 data at the st. louis midwest supersite. [Masters Thesis]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/44755

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