Suspended particles have deleterious effects on human health and one of the reasons why Tehran is effected is its geographically location of air pollution. One of the most important ways to reduce air pollution is to predict the concentration of pollutants. This paper proposed a hybrid method to predict the air pollution in Tehran based on particulate matter less than 10 microns (PM10), and the...

The evapotranspiration rate has a vital role in agricultural water management. In this paper, ability of Box-Jenkins models in forecasting the reference potential evapotranspiration is estimated. For this purpose meteorological data of Mehrabad synoptic station in Tehran was selected. Using this data and according to eight famous evapotranspiration equations amounts of evapotranspiration were f...

Fine particles (PM2.5) have adverse impacts and risks on air quality human health. The present research focuses the concentrations of PM2.5, index (AQI), assessment hospital admissions due to COPD attributed PM2.5 particle levels in Tehran during last 10 years from 2011 2020. effects meteorological parameters (i.e., wind speed, humidity, temperature) AQI were examined using data 21 active monit...

With the need to increase total revenues, airports have begun use commercial retail. A well-designed airport may provide great service clients and consumers their satisfaction in turn spending behaviours. Since there is suggestive evidence that might be cultural associations of white, purple or black with different emotional loadings these colours across cultures, present study investigated pas...

Efforts have been made for surface ozone concentration measurements considering secondary reactions via actinometry. Pyro heliometry, pyranometry and spectrophotometry, idometry in Amir Abad station of Tehran city center parallel. In actinometry method consideration were to show solar radiation all different filters green, yellow, red dark by means 525 nm, 630 695 nm 721 parallel the same time ...

Meteorological stations usually contain some missing data for different reasons.There are several traditional methods for completing data, among them bivariate and multivariate linear and non-linear correlation analysis, double mass curve, ratio and difference methods, moving average and probability density functions are commonly used. In this paper a blended model comprising the bivariate expo...

meteorological stations usually contain some missing data for different reasons.there are several traditional methods for completing data, among them bivariate and multivariate linear and non-linear correlation analysis, double mass curve, ratio and difference methods, moving average and probability density functions are commonly used. in this paper a blended model comprising the bivariate expo...