to doing this research daily interpolated temperature data from asfezari data base have been used. in order to recognition extreme cold days, the normalized temperature deviation index (ntdi) applied. then the index sorted according to extensive and severity and first 500 days selected for analysis. the geopotential height data extracted from www.esrl.noaa.gov data base. the thickness anomaly c...

in this study, we aimed to reconstruct the mean, maximum mean and ‎minimum mean temperature from the chronology of tree rings width of two ‎quercus persica sites in dena region, where efficient climatic data have a ‎short period (1982-2011). the duration of common chronology of the sites ‎is 131 years (1881-2011).considering the strong correlation between ‎climatic data and growth rin...

This paper analyses the factors affecting heating consumption of a substation. The input parameters neural network prediction model are analysed and selected. average absolute error, percentage mean square error used to evaluate effect model. results show that when maximum outdoor temperature, temperature difference between primary supply return domestic hot water, load in previous three days, ...

the catalytic highly regio-, diastereo-, and enantioselective synthesis of a small library of spiropyrrolizidineoxindolesvia a four-component 1,3-dipolar cycloaddition reaction of azomethine ylides, derived from isatin, with electron-deficient dipolarophilewas described. the process occurs at room temperature in aqueous ethanol as a green solvent and in the presence of a bidendatebis(imine)–cu(...

One of the most important factors of users comfort inside building is air temperature. From the other side one of the most biggest position in home budget is price for heat. Mutually exclusive indices are the cause that the control of temperature task using the smallest amount of energy as it is possible is very difficult. In this paper is presented simple model of temperature changes inside bu...