watershed outflow has influenced by different factors such as climatic, human and physical aspects and this variability of effective factors can cause complex conditions, difficulty of flow forecasting and it mainly originates by different local and temporal scales of these factors. also, some remote meteorological signals can cause changes in meteorological conditions in different regions. hab...

In this study we model the daily rainfall occurrence using Markov Chain Analogue Yearmodel (MCAYM) and the intensity or amount of daily rainfall using three different probability distributions; gamma, exponential and mixed exponential distributions. Combining the occurrence and intensity model we obtain Markov Chain Analogue Year gamma model (MCAYGM), Markov Chain Analogue Year exponentia...

abstract infiltration is one of the most important phenomena which is affected by the soil physical and hydraulic characteristics. measurement of infiltration needs the high cost and is time consuming, therefore estimation of infiltration is necessary. also, due to variability of soil moisture, it is important to determine the appropriate model for the estimating the infiltration rate. the pres...

In this work, the adsorption of carbon dioxide from model flue gas on different adsorbents has been investigated. Using simplified modeling, parameters such as the total mass transfer coefficient and the effective diffusivity have been determined. Experiments were carried out in two sections: firstly, adsorption of pure carbon dioxide on different adsorbents was measured at pressures ranging fr...

in this study, liquid-liquid extraction process in a kuhni extraction column was modeled and simulated. a non-equilibrium dynamic model was developed for modeling liquid-liquid extraction processes based on a rate-based model. the model equations are inclusive of partial and ordinary differential equations which were discretized in column height direction. the population balance model was used ...

The present study aims to model systematic risk using financial and accounting variables. Accordingly, the data for 174 companies in Tehran Stock Exchange are extracted for the period of 2006 to 2016. First, the systematic risk index is estimated using the ARFIMA-FIGARCH model. Then, based on the research background, 35 affective financial and accounting variables are simultaneously used with t...

Yarn tenacity is one of the most important properties in yarn production. This paper addresses modeling of yarn tenacity as well as optimally determining the amounts of the effective inputs to produce yarn with desired tenacity. The artificial neural network is used as a suitable structure for tenacity modeling of cotton yarn with 30 Ne. As the first step for modeling, the empirical data is col...