Atmospheric Pollutions Emissions, environmental challenges of Isfahan City

Extended abstract1-IntroductionThe recent fatal events with regard to the rise in the atmospheric pollutants levels have suggested that the reason of their occurrence be more identified. The long-term and short-term effects on the environment caused by pollutants that reached unacceptable level are apparent; existence of pollutatnts has led to short-term effects such as appearance and aggravation of cancer and respiratory optic and lung diseases. The sequence of long-term effects is seen on DNA intelligence and physiology. The air pollution results in water and soil pollution. Of course, aquatics and plants are under the influence of these pollutions. Men are not safe from them because they enter man’s food chain too. The statistical model represented in this research can estimate the acceptable rate of surface- ozone by measuring the climatic data of synoptic meteorology of Isfahan Station and evaluating surface pollution rate of station of the Environment Protection Agency. This research shows that equations that profited from two variables including square sunshine and square carbon monoxide concentration could explain %35 of concentration changes in surface- ozone during a day. Even though multivariable regression models can explain dramatical concentration changes in surface– ozone and protector concentration, practical use of these models is limited because of numerous entrance variables. Ozone as one of the most significant secondary pollutants not only influences general health but also has a considerable effect on agriculture. Surface – ozone is in ppm or ppb and it comprises the number of ozone molecules per million and per billion of air molecule.2- Theoretical basis As regards exceptional importance and poisonous state of ozone special in agriculture, it is essential to measure the rate of this gas for quantitative and qualitative survey of garden products and birds and livestock’s health. In general pollutants threat stable development and environment. Furthermore, because its rate is higher than acceptable level, it disrupts man’s daily activities. So, it is necessary to study this process. To display a statistical model is the purpose of this study so that surface- ozone rates can be acceptably estimated using atmospheric factors. The main question is this: can an appropriate estimate of surface- ozone rates be determined using a statistical model? It is assumed in this study that climatic factors of land surface play remarkable role in surface- ozone forming. Statistical models using Excel and Spss Software have been used to regionalize