TAILIEUCHUNG - Daily air pollution time series analysis of Isfahan City

In order to draw a complete picture of the total morbidity costs, individually borne private costs and the costs borne collectively, . by a social security system, have to be considered. All components together constitute the social costs of morbidity. Similar to the methodological possibilities for the monetary valuation of mortality, the morbidity may be assessed with different methodological approaches. For the costs of illness (COI) containing the production loss and medical treatment costs, the damage cost approach is used. Based on market prices, it assesses all individually as well as collectively borne material costs. However, for the costs of averting-behaviour and the intangible costs, this approach. | Int. J. Environ. Sci. Tech. Autumn 2005 Vol. 2 No. 3 pp. 259-267 Daily air pollution time series analysis of Isfahan City 1R. Modarres and 2 A. KhosraviDehkordi Facility of Natural Resources Isfahan University of Technology Isfahan Iran 2Department of Environmental Sciences Graduate College of Natural Resources Isfahan University of Technology Isfahan Iran Received 25 May 2005 revised 11 June 2005 accepted 18 July 2005 onlined 30 September 2005 Abstract Different time series analysis of daily air pollution of Isfahan city were performed in this study. Descriptive analysis showed different long-term variation of daily air pollution. High persistence in daily air pollution time series were identified using autocorrelation function except for SO2 which seemed to be short memory. Standardized air pollution index SAPI time series were also calculated to compare fluctuation of different time series with different levels. SAPI time series indicated that NO and NO2 CH4 and non-CH4 have similar time fluctuations. The effects of weather condition and vehicle accumulation in Isfahan city in cold and warm seasons are also distinguished in SAPI plots. Key words Air pollution time series ACF non linear dynamic SAPI Isfahan Corresponding Author E-mail adhkordi@ Introduction The limitless of air pollution range and sources have forced pollution managers to apply new methods in air pollution control and monitoring. Development and use of statistical and other quantitative methods in the environmental sciences have been a major communication between environmental scientists and statisticians Herzberg and Frew 2003 . This approach is called top-down approach which starts with statistical analysis of collected air pollution data Lee 2002 . In recent years many statistical analysis have been used to study air pollution as a common problem in urban areas. The common descriptive statistical approach used for air quality measurement and modeling is rather limited as a method .

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