Sequence analysis of surface wind field patterns to characterize and forecast ambient air quality for Houston, TX
Document Type
Conference Proceeding
Publication Date
12-1-2007
Abstract
Tropospheric ozone is a harmful pollutant resulting from photochemical reactions of VOC and NOx. Rapid ozone formation occurs in the Houston, TX, region due to highly variable meteorology owing to its proximity to the Gulf Coast and intense emissions from the petrochemical industry. Cluster analysis and sequence analysis were described to isolate the role of meteorology on ozone. The ability of the stochastic Hidden Markov Models (HMM) was studied to predict ozone levels in Houston, TX. The adverse health effects of tropospheric ozone indicate substantial risk for many segments of the population. This necessitates the short term forecast to take evasive actions on days conducive to ozone formation. This is an abstract of a paper presented at the AIChE Annual Meeting (Salt Lake City, UT 11/4-9/2007).
Publication Source (Journal or Book title)
2007 AIChE Annual Meeting
Recommended Citation
Pakalapati, S., Sun, W., Romagnoli, J., Beaver, S., & Palazoglu, A. (2007). Sequence analysis of surface wind field patterns to characterize and forecast ambient air quality for Houston, TX. 2007 AIChE Annual Meeting Retrieved from https://repository.lsu.edu/chem_engineering_pubs/633