Azad N., Behmanesh J., Rezaverdinejad V., Abbasi F., and Navabian M. 2018. Developing an optimization model in drip fertigation management to consider environmental issues and supply plant requirements. Agricultural Water Management, 208: 344-356.
Ataee A., Nishabori M.R., Akbari M., Zare Haghi D., and Anabi Milani A. 2018. Evaluation of HYDRUS-2D model for determination of soil moisture distribution under surface and sub-surface drip irrigation of Pistachio trees. Search Water at Agriculture, 32(4): 581-595.
Abdelaziz R., and Zambrano-Bigiarini M. 2014. Particle Swarm Optimization for inverse modeling of solute transport in fractured gneiss aquifer. Journal of Contaminant Hydrology, 164: 285-298.
Brunetti G., Šimůnek J., and Piro P. 2016. A comprehensive numerical analysis of the hydraulic behavior of a permeable pavement. Journal of Hydrology, 540: 1146-1161.
Brunetti G., Porti M., and Piro P. 2018. Multi-level numerical and statistical analysis of the hygrothermal behavior of a non-vegetated green roof in a mediterranean climate. Applied Energy, 221: 204-219.
Chen M., Willgoose G.R., and Saco P.M. 2014. Spatial prediction of temporal soil moisture dynamics using HYDRUS‐1D. Hydrological Processes, 28(2): 171-185.
Coutinho de Oliveira L.F., Rezende de Souza G., Vilela Corrêa F., and Ribeiro Motae Silva J. 2020. Parameter estimation of soil hydraulic characteristics by inverse modeling of the analytical equation for unsaturated subsurface water flow. Journal of Hydroinformatic, 22 (5): 1270-1282.
Dincă N., and Dunea D. 2018. On the assessment of light use efficiency in alfalfa (medicago sativa l.) In the eco-climatic conditions of târgovişte piedmont plain. Romanian Agricultural Research, (35): 59-69.
Gribb M.M., Forkutsa I., Hansen A., Chandler D.G., and McNamara J.P. 2009. The effect of various soil hydraulic property estimates on soil moisture simulations. Vadose Zone Journal, 8(2): 321-331.
Gabiri G., Leemhuis C., Diekkrüger B., Näschen K., Steinbach S., and Thonfeld F. 2019. Modelling the impact of land use management on water resources in a tropical inland valley catchment of central Uganda, East Africa. Science of the Total Environment, 653: 1052-1066.
Gorbani Dashtaki S., and Homaee M. 2002. Parametric estimation of hydraulic functions of the unsaturated part of the soil using transfer functions. Journal of Agricultural Engineering Research, 3(12): 1-16.
Jalali V.R., Homaee M., and Mirnia K. 2008. Modeling Canola Response to Salinity on Vegetative Growth Stages.
Jalali V.R., and Homaee M. 2010. Modeling the effect of salinity application time of root zone on yield of canola (brassica napus l.).
Kelishadi H., Mosaddeghi M.R., Hajabbasi M.A., and Ayoubi S. 2013. Evaluation and developing pedotransfer functions to predict soil saturated hydraulic conductivity at landscape scale in center Zagros. Applied Soil Research, 1(2): 16-33. (In Persian)
Kennedy J., and Eberhart R. 1995. November. Particle swarm optimization. In Proceedings of the IEEE international conference on neural networks, 4: 1942-1948.
Lamia G., Brahim A., Jérome J., and Rachida B. 2020. Estimation of the soil hydraulic properties from field data by solving an inverse problem. Scientific Reports, 10(1): 28-40.
Li Y. B., Liu Y., Nie W. B., and Ma X. Y. 2018. Inverse modeling of soil hydraulic parameters based on a hybrid of vector-evaluated genetic algorithm and particle swarm optimization. Water, 10(1): 84.
Li C., Zhang C., Luo, G., Chen X., Maisupova B., Madaminov A. A., and Djenbaev B.M. 2015. Carbon stock and its responses to climate change in Central Asia. Global Change Biology, 21(5): 1951-1967.
Liu K., Huang G., Jiang Z., Xu X., Xiong Y., Huang Q., and Šimůnek J. 2020. A Gaussian Process-based Iterative Ensemble Kalman Filter for parameter estimation of unsaturated flow. Journal of Hydrology, 125210.
Liu Z. 2010. Bimodality in a monostable climate–ecosystem: the role of climate variability and soil moisture memory. Journal of Climate, 23(6): 1447-1455.
Mahbod M., and Zand-Parsa S. 2010. Prediction of soil hydraulic parameters by inverse method using genetic algorithm optimization under field conditions. Archives of Agronomy and Soil Science, 56(1): 13-28.
Mashayekhi P., Gorbani Dashtaki S., Mosaddeghi M.R., Shirani H., Panahi M., and Nouri M. R. 2016. Inverse estimation of the soil water retention curve parameters using double-ring infiltration data. Applied Soil Research, 4(2): 26-37. (In Persian)
Moradkhani H., Hsu K.L., Gupta H., and Sorooshian S. 2005. Uncertainty assessment of hydrologic model states and parameters: Sequential data assimilation using the particle filter. Water Resources Research, 41(5).
Mousavi Dehmurdi A., Gorbani Dashtaki S., and Mashayekhi P. 2018. Performance of selected information models based on obtained data from double-ring and Hydrus-1D software. Applied Soil Research, 7(2): 182-195. (In Persian)
Neitsch S.L., Arnold J.G., Kiniry J.R., and Williams J.R. 2005. Soil and water assessment tool (SWAT), theoretical documentation. Blackland Research Center, Grassland. Soil and Water Research Laboratory, Agricultural Research Service, Temple, TX.
Nishat S., Guo Y., and Baetz B.W. 2007. Development of a simplified continuous simulation model for investigating long-term soil moisture fluctuations. Agricultural Water Management, 92(1-2): 53-63.
Qu W., Bogena H.R., Huisman J.A., Martinez G., Pachepsky Y.A., and Vereecken H. 2014. Effects of soil hydraulic properties on the spatial variability of soil water content: Evidence from sensor network data and inverse modeling. Vadose Zone Journal, 13(12).
Rawls W.J., Brakensiek D.L., and Saxtonn K.E. 1982. Estimation of soil water properties. Transactions of the ASAE, 25(5): 1316-1320.
Russo D., Bresler E., Shani U., and Parker J. C. 1991. Analyses of infiltration events in relation to determining soil hydraulic properties by inverse problem methodology. Water Resources Research, 27(6): 1361-1373.
Saadat S., and Homaee M. 2015. Modeling sorghum response to irrigation water salinity at early growth stage. Agricultural Water Management, 152: 119-124.
Saleh I., Kavian A., Jafarian Z., and Ahmadi R. 2016. Estimation of final soil rate using fuzzy clustering algorithm, nero fuzzy (ANFIS) and fuzzy inference system (FIS) (a case study: Behshahr plain, Galougah, Mazandaran, Iran). Applied Soil Research, 4(2): 47-59. (In Persian)
Sepaskhah A.R., and Bondar H. 2002. Estimating van genuchten soil water retention curve from some soil physical properties. Iran Agricultural Research, 21: 105-118. (In Persian)
Šimůnek J., and Van Genuchten M. T. 1996. Estimating unsaturated soil hydraulic properties from tension disc infiltrometer data by numerical inversion. Water Resources Research, 32(9): 2683-2696.
Šimůnek J., Wendroth O., and Van Genuchten M.T. 1999. Soil hydraulic properties from laboratory evaporation experiments by parameter estimation. In Proc. Int. Workshop, Characterization and Measurement of the Hydraulic Properties of Unsaturated Porous Media, 713-724.
Šimůnek J., Van Genuchten M.T., and Sejna M. 2006. The HYDRUS software package for simulating the two-and three-dimensional movement of water, heat, and multiple solutes in variably-saturated media. Technical manual, 1.
Šimůnek J., and Van Genuchten M.T. 2008. Modeling nonequilibrium flow and transport processes using HYDRUS. Vadose Zone Journal, 7(2): 782-797.
Šimůnek J., Šejna M., Saito H., Sakai M., and Van Genuchten M.T. 2013. The HYDRUS-1D Software Package for Simulating the One-Dimensional Movement of Water, Heat, and Multiple Solutes in Variably-Saturated Media; Version 4.17; Department of Environmental Sciences University of California Riverside: Riverside, CA, USA.
Šimůnek J., Van Genuchten M.T., and Šejna M. 2016. Recent developments and applications of the HYDRUS computer software packages. Vadose Zone Journal, 15(7): vzj2016-04.
Sprenger M., Volkmann T.H., Blume T., and Weiler M. 2015. Estimating flow and transport parameters in the unsaturated zone with pore water stable isotopes. Hydrology and Earth System Sciences, 19(6): 2617-2635.
Van Dam J.C., Huygen J., Wesseling J.G., Feddes R.A., Kabat P., Van Walsum P.E.V., . and Van Diepen C.A. 1997. Theory of SWAP version 2.0; Simulation of water flow, solute transport and plant growth in the soil-water-atmosphere-plant environment (No. 71). DLO Winand Staring Centre.
Van Dam J.C., Stricker J.N.M., and Droogers P. 1994. Inverse method to determine soil hydraulic functions from multistep outflow experiments. Soil Science Society of America Journal, 58(3): 647-652.
Ventrella D., Castellini M., Di Prima S., Garofalo P., and Lassabatère L. 2019. Assessment of the physically-based Hydrus-1D model for simulating the water fluxes of a Mediterranean cropping system. Water, 11(8): 1657.
Vereecken H., Weynants M., Javaux M., Pachepsky Y., Schaap M.G., and Genuchten M.T. 2010. Using pedotransfer functions to estimate the van Genuchten–Mualem soil hydraulic properties: A review. Vadose Zone Journal, 9(4): 795-820.
Vereecken H., Huisman J.A., Pachepsky Y., Montzka C., Van Der Kruk J., Bogena, H., . and Vanderborght J. 2014. On the spatio-temporal dynamics of soil moisture at the field scale. Journal of Hydrology, 516: 76-96.
Vogeler I., Carrick S., Cichota R., and Lilburne L. 2019. Estimation of soil subsurface hydraulic conductivity based on inverse modelling and soil morphology. Journal of Hydrology, 574: 373-382.
Vrugt J.A., Stauffer P.H., Wöhling T., Robinson B.A., and Vesselinov V.V. 2008. Inverse modeling of subsurface flow and transport properties: A review with new developments. Vadose Zone Journal, 7(2): 843-864.
Wessolek G. 1989. Einsatz von Wasserhaushalts—Und Photosynthesemodellen in der Ökosystemanalyse. Landschaftsentwicklung und Umweltforschung, Schriftenreihe des FB 14. TU Berlin, 61: 164.
Wang J., Gong S., Xu D., Juan S., and Mu J. 2013. Numerical simulations and validation of water flow and heat transport in a subsurface drip irrigation system using HYDRUS‐2D. Irrigation and Drainage, 62(1): 97-106.
Yang X., and You X. 2013. Estimating parameters of van Genuchten model for soil water retention curve by intelligent algorithms. Applied Mathematics and Information Sciences, 7(5): 1977.
Yang Q., Zuo H., and Li W. 2016. Land Surface Model and Particle Swarm Optimization Algorithm Based on the Model-Optimization Method for Improving Soil Moisture Simulation in a Semi-Arid Region. PloS One, 11(3) .
Zhang X., Srinivasan R., Zhao K., and Liew M.V. 2009. Evaluation of global optimization algorithms for parameter calibration of a computationally intensive hydrologic model. Hydrological Processes: An International Journal, 23(3): 430-441.