شبیه‌سازی توزیع رطوبت در انواع بافت خاک تحت منبع نقطه‌ای با استفاده از روش تحلیل گشتاور

Autovino, D., Rallo, G., & Provenzano, G. (2018). Predicting soil and plant water status dynamic in olive orchards under different irrigation systems with Hydrus-2D: Model performance and scenario analysis. Agricultural Water Management, 203, 225-235. doi: 10.1016/j.agwat.2018.03.015

Carsel, R.F., & Parrish, R.S. (1988). Developing joint probability distributions of soil watervretention characteristics, Water Resource Research, 24, 755- 769.

Ghorbani, A. (2013). Evaluation of prediction models of soil moisture distribution pattern in drip irrigation with point source. Master's Thesis, University of Tabriz, Tabriz, Iran. [In Persian]

Etminan, S., Jalali, V.R., Mamodabadi, M., Khashei-Siuki, A., & Pourreza-Bilondi, M. (2023). Assessing the hydraulic parameter’s uncertainty of the HYDRUS model using DREAM method. Water and Soil Management and Modeling, 3(4), 1-15. doi:10.22098/mmws.2022.11659.1152. [In Persian]

Hinnell, A.C., Lazarovitch, N., & Furman, A. (2010). Neuro-drip: estimation of subsurface wetting patterns for drip irrigation using neural networks. Irrigation Science, 28, 535-544. doi:10.1007/s00271-010-0214-8

Jahantigh, M. (2021). Effects of irrigation methods of subsurface, clay pot and drop on Mulberry growth in dry land region (Case study: Sistan area). Water and Soil Management and Modeling, 1(2), 25-35. doi:10.22098/mmws.2021.8691. [In Persian]

Karimi, B., Karimi, N., Shiri, J., & Sanikhani, H. (2022). Modeling moisture redistribution of drip irrigation systems by soil and system parameters: regression-based approaches. Stochastic Environmental Research and Risk Assessment, 36(1), 157-172. doi: 10.21203/rs.3.rs-267556/v1

Kazemi, H. (2011). Experimental and numerical investigation of soil moisture distribution in surface and subsurface drip irrigation. Master's Thesis, University of Tabriz, Tabriz, Iran. [In Persian]

Kazemi, H., Sadraddini, A.A., Nazemi, A.H., & Sanchez, C. (2021). A moment analysis for modeling soil water distribution in furrow irrigation: variable vs. constant ponding depths. Water, 13, 1415. doi:10.3390/w13101415

Kisi, O., Khosravinia, P., Heddam, S., Karimi, B., & Karimi, N. (2021). Modeling wetting front redistribution of drip irrigation systems using a new machine learning method: Adaptive neuro-fuzzy system improved by hybrid particle swarm optimization–Gravity search algorithm. Agricultural Water Management, 256. doi: 10.1016/j.agwat.2021.107067

Kumar Vishwakarma, D., Kumar, R., Tomar, A.S., & Kuriqi, A. (2023). Eco-hydrological modeling of soil wetting pattern dimensions under drip irrigation systems. Helion, 9(7), e18078.  doi: 10.1016/j.heliyon.2023.e18078

Lazarovitch, N., Warrick, A.W., Furman, A., & Simunek, J. (2007). Subsurface water distribution from drip irrigation described by moment analyses. Vadose Zone Journal, 6, 116–123. doi:10.2136/vzj2006.0052

Lazarovitch, N., Warrick, A.W., Furman, A., & Zerihun, D. (2009). Subsurface water distribution from furrows described by moment analyses. Journal of Irrigation and Drainage Engineering, 135, 7–12. doi:10.1061/(ASCE)0733-9437(2009)135:1

Li, J., Zhang, J., & Ren, L. (2003). Water and nitrogen distribution as affected by fertigation of ammonium nitrate from a point source. Irrigation Science, 22, 19–30. doi: 10.1007/s00271-003-0064-8

Moslemi, S., Nazemi, A.H., Sadraddini, A.A., Samadianfard, S., & Mikaeili, F. (2021). Distribution of water in soil under drip irrigation by moment analysis using different discharges. Water and Soil Science, 34(3), 179-198. doi:10.22034/WS.2022.51372.2472. [In Persian]

Norouzian, Z., Sadraddini, A.A., Nazemi, AH., & Delirhasannia, R. (2017). Experimental and numerical investigations of soil water distribution under subsurface drip irrigation in level and sloping layered soils. Water and Soil Science, 26(4), 13-27. [In Persian]

Radcliffe, D., & Šimunek, J. (2010). Soil physics with HYDRUS: Modeling and applications; CRC Press, Taylor and Francis Group: Boca Raton, FL, USA p: 388. doi:10.1201/9781315275666

Raoof, M., Akbari Baseri, Z., Rasoulzadeh, A., & Azizi Mobaser, J. (2022). Sensitivity analysis of Hydrus software to input data in simulating water movement and root uptake of grass as reference plant. Water and Soil Management and Modeling, 2(3), 94-107. doi:10.22098/mmws.2022.10847.1090. [In Persian]

Samadianfard, S. (2009). Numerical and analytical simulation of wetting front advancing in drip irrigation. Master's Thesis, University of Tabriz, Tabriz, Iran. [In Persian]

Shiri, J., Karimi, B., Karimi, N., Kazemi, M.H., & Karimi, S. (2020). Simulating wetting front dimensions of drip irrigation systems: Multi criteria assessment of soft computing models. Journal of Hydrology, 585, 124792. doi: 10.1016/j.jhydrol.2020.124792

Siyal, A.A., & Skaggs, T.H. (2009). Measured and clay pipe subsurface irrigation, Agric. Agricultural Water Management, 96, 893-904. doi: 10.1016/j.agwat.2008.11.013

Yeh, T.C.J., Ye, M., & Khaleel, R. (2005). Estimation of effective unsaturated hydraulic conductivity tensor using spa al moments of observed moisture plume. Water Resource Research, 41. doi:10.1029/2004WR003736

Zhenjie, Q., Jiusheng, L., & Weixia, Z. (2017). Effects of lateral depth and irrigation level on nitrate and Escherichia coli leaching in the North China Plain for subsurface drip irrigation applying sewage effluent. Irrigation Science. 35(6), 469-482. doi:10.1007/s00271-017-0553-9.