Bibliographic Details
| Title: |
EXTREME VALUE MODELING OF DAILY PM10 CONCENTRATIONS IN AN INDUSTRIAL AREA. |
| Authors: |
Sfetsos, Athanasios1 ts@ipta.demokritos.gr, Zoras, Stamatis2, Bartzis, John G.1, Triantafyllou, Athanasios G.2 |
| Source: |
Fresenius Environmental Bulletin. 2006, Vol. 15 Issue 8b, p841-845. 5p. |
| Subject Terms: |
*Air pollution, *Emissions (Air pollution), *Urban pollution, Extreme value theory, Distribution (Probability theory), Probability theory, Confidence intervals |
| Geographic Terms: |
Macedonia (Greece), Greece |
| Abstract: |
The concentrations of air pollution measured at a single location are dominated by the emission source and the effects of meteorological conditions. Statistical methods offer a fast and fairly accurate approach to analyze extreme air pollution phenomena. Under this prism, perhaps the most suited modeling tool is the Extreme Value Theory (EVT), which is centered on the modeling of extreme changes above a predefined limit. This paper presents the modeling of daily PM10 (airborne particles with aerodynamic diameter <10 μm) concentration values from an industrial area in West Macedonia. The central concept of EVT is the estimation of Value-at-Risk (VaR), which is a measure of the maximum probabilistic change for a selected confidence level (here 95%) from the current air pollution levels. [ABSTRACT FROM AUTHOR] |
|
Copyright of Fresenius Environmental Bulletin is the property of PRT-Parlar Research & Technology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
GreenFILE |