In this study, a three–layer artificial neural network (ANN) model was developed to predict the pressure gradient in horizontal liquid–liquid separated flow. A total of 455 data points were collected from 13 data sources to develop the ANN model. Superficial velocities, viscosity ratio and density ratio of oil to water, and roughness and inner diameter of pipe were used as input parameters of ...

introduction: rainfall is affected by changes in the global sea level change, especially changes in sea surface temperature sst sea surface temperature and sea level pressure slp sea level pressure. climate anomalies being related to each other at large distance is called teleconnection. as physical relationships between rainfall and teleconnection patterns are not defined clearly, we used inte...

in the current attempt, the relation between precipitation change in southern coasts of iran and sea level pressure data of ncep / ncar database were investigated through correlation method using environment to circulation approach in the period of 1960-2004. after calculating the correlation matrix between the percipitation amount and pressure, the precipitation-pressure correlation map for ea...

wheat production with the least use of chemical inputs is an important goal of modern farming to decrease of negative effects of the use of chemical inputs. this paper has estimated the virtual profit of organic wheat in transition period using a cross sectional data of 453 wheat producers of khorasan razavi province during 2007. a model introduced to this objective so that it has ability of es...

The ability of altimetry to detect extreme low pressure events and the relationship between sea level pressure and sea level anomalies during extra-tropical depressions have been investigated. Specific altimeter treatments have been developed for tropical cyclones and applied to obtain a relevant along-track sea surface height (SSH) signal: the case of tropical cyclone Isabel is presented here....