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dc.contributor.authorVadel, Dharmik R.
dc.date.accessioned2014-04-17T19:56:44Z
dc.date.available2014-04-17T19:56:44Z
dc.date.issued2005-12-01
dc.identifier.urihttps://hdl.handle.net/11244/10172
dc.description.abstractTemporal analysis was performed to study ozone exceedance patterns and geostatistical analysis was performed to study diurnal variation of ozone in Oklahoma and specifically for a site in Skiatook. The effect of temperature, relative humidity, wind speed, solar radiation and pressure on ozone concentrations was also studied. Multi-linear regression analysis was performed to forecast next day 1-hr ozone, 8-hr ozone, and daily maximum 1-hr ozone in Skiatook. The data from 10:00 a.m. to 5:00 p.m. for the months of May to September from 1998 - 2000 was used for the analysis. The forecasted values obtained from these models were tested to be within 0.005 ppm of the actual ozone values. Temperature was the only meteorological parameter found to have noticeable effect on high ozone concentrations. It was found that using the previous day ozone concentration as a predictor helped achieve a higher R2 value for ozone forecast.
dc.formatapplication/pdf
dc.languageen_US
dc.publisherOklahoma State University
dc.rightsCopyright is held by the author who has granted the Oklahoma State University Library the non-exclusive right to share this material in its institutional repository. Contact Digital Library Services at lib-dls@okstate.edu or 405-744-9161 for the permission policy on the use, reproduction or distribution of this material.
dc.titleStudy of Spatial Distribution of Ozone and Its Correlation with Meteorological Parameters and Precursors
dc.typetext
osu.filenameVadel_okstate_0664M_1607.pdf
osu.collegeEngineering, Architecture, and Technology
osu.accesstypeOpen Access
dc.description.departmentSchool of Civil & Environmental Engineering
dc.type.genreThesis
dc.subject.keywordsozone
dc.subject.keywordsregression
dc.subject.keywordsgeostatistical
dc.subject.keywordstemporal
dc.subject.keywordsspatial


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