| URN | etd-0730114-164134 | Statistics | This thesis had been viewed 437 times. Download 0 times. |
| Author | Chih-Hsiang Chie | ||
| Author's Email Address | No Public. | ||
| Department | Institute of construction technology | ||
| Year | 2013 | Semester | 2 |
| Degree | Master | Type of Document | Master's Thesis |
| Language | zh-TW.Big5 Chinese | Page Count | 41 |
| Title | Using NOx concentration change to forecast high ozone events | ||
| Keyword | |||
| Abstract | In this paper, the development of the Republic of China 93 years to 102 years data dis-play,cause adverse air quality in Taiwan (PSI> 100) of the main pollutants suspended particles (PM10) and ozone (O3),Which suspended particles (PM10) annual average concentrations have decreased year by year trend of lower,the annual average concentrations of ozone showed an upward trend (EPA)EPA air quality monitoring stations using the data, the data compilation, statistical software to do regression analysis, correlation analysis, significant analysis to predict periods of high ozone values,get seven hours of continuous ozone front moves forward with its first 18 hours of the change in NOx,O3 concentrations before the first 18 hours by continuous variation of NOx highest correlation,therefore, before changes in at 8:00 on the 1st NOx as a reference O3 Forecasting. KeywordĄGOzone episodes, vertical ozone profile, diurnal variation, back air , PSI |
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| Advisor Committee | |||
| Files | in-campus not accessible and off-campus not accessible | ||
| Date of Defense | 2014-06-28 | Date of Submission | 2014-07-30 |