Farshid Taran

Dr. Farshid Taran


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 October 2020 in International Journal of Energy and Water Resources
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Journal Article
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SSShahram Shahmohammadi-Kalalagh
Shahram Shahmohammadi-Kalalagh
FTFarshid Taran
Farshid Taran

16 January 2020 in Arabian Journal of Geosciences
Verified
Journal Article
Closed access
PDF file
FTFarshid Taran
Farshid Taran
GMGhorban Mahtabi
Ghorban Mahtabi

27 January 2020 in Sustainable Water Resources Management
Verified
Journal Article
Closed access
PDF file
SSShahram Shahmohammadi-Kalalagh
Shahram Shahmohammadi-Kalalagh
FTFarshid Taran
Farshid Taran
HNH. Nasiri
H. Nasiri

26 March 2024 in Earth Science Informatics
Verified
Journal Article
Closed access
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GMGhorban Mahtabi
Ghorban Mahtabi
Ozgur KisiOzgur Kisi
Ozgur Kisi
SMSaeed Mozaffari
Saeed Mozaffari
FTFarshid Taran
Farshid Taran

1 April 2018
Verified
Open access
PDF file
FTFarshid Taran
Farshid Taran
ASAli-Ashraf Sadraddini
Ali-Ashraf Sadraddini
ANAmir-Hossein Nazemi
Amir-Hossein Nazemi
Laboratory and field experiments have shown that dispersivity is one of the key parameters in contaminant transport in porous media and varies with elapsed time. This time-dependence can be shown using a time-variable dispersivity function. The advantage of this function as opposed to constant dispersivity is that it has at least two coefficients that increase the accuracy of the dispersivity prediction. In this study, longitudinal dispersivity values were obtained for the conservative NaCl solute transport in a laboratory porous medium saturated with tap water. The results showed that the longitudinal dispersivity initially increased with time (pre-asymptotic stage) and eventually reached a constant value (asymptotic stage). Four functions were used to investigate the time variations of dispersivity: linear, power, exponential and logarithmic. In general, because of the linear increase of dispersivity during a long time of transport, the linear function with R2=0.97 showed better time variations than the other three functions; the logarithmic function, having an asymptotic nature, predicted the asymptotic stage successfully (R2=0.95). The ratio of the longitudinal dispersivity to the medium length was not constant during the transport process and varied from 0.01 to 0.05 cm with elapsed time.