شبیه‌سازی الگوی توزیع مجدد رطوبتی در اراضی شیبدار تحت سامانه آبیاری قطره‌ای

1.Alinazari, F., and Karimi, B. 2020. Simulation of wetted area in slope lands in drip irrigation system. Iranian Journal of Irrigation and Drainage,14: 5. 1772-1788.

2.Al-Ogaidi, A.A.M., Wayayok, A., Rowshon, M.K., and Abdullah, A.F. 2016. Wetting patterns estimation under drip irrigation systems using an enhanced empirical model. Agricultural Water Management, 176: 203-213.

3.Amin, M.S.M., and Ekhmaj, A.I.M.2006. DIPAC- drip irrigation water distribution pattern calculator. In: 7^th Int. Micro Irrigation Congress PWTC, Kuala Lumpur, Malaysia, Pp: 503-513.

4.Elmaloglou, S., and Diamantopoulos, E. 2009. Effects of hysteresis on redistribution of soil moisture and deep percolation at continuous and pulsedrip irrigation. Agric. Water Manag.96: 533-538.

5.Esmaeeli, E., Soltani-Mohammadi,A., and Broomand-Nasab, S. 2016. Investigation of wetting pattern dimensions in T-Tape drip irrigationon sloping Lands. Journal of Irrigation Science and Engineering (JISE).39: 1. 181-190. (In Persian)

6.Fan, Y., Yang, Z., and Wei, H. 2021. Establishment and verification of the prediction model of soil wetting pattern size in vertical moistube irrigation.Water Supply, 21: 1. 331-343.

7.Hammami, M., and Zayani, K. 2016. An analytical approach to predict the moistened bulb volume beneath a surface point source. Agric. Water Manag.166: 123-129.

8.Heidari, Z., Farasati, M., and Ggobadian, R. 2016. Effect of slope on soil wetting pattern under surface drip irrigation and simulation HYDRUS-2D model. Journal of Water and Irrigation Management.5: 2. 277-288. (In Persian)

9.Kanda, E.K., Senzanje, A., and Mabhaudhi, T. 2020. Soil water dynamics under Moistube irrigation. Physics and Chemistry of the Earth, Parts A/B/C,115, p.102836.

10.Kandelous, M.M., and Šimůnek, J. 2010. Comparison of numerical, analytical, and empirical models to estimate wetting patterns for surface and subsurface drip irrigation. Irrigation Science, 28: 5. 435-444.

11.Karimi, B., Mirzaei, F., and Sohrabi, T. 2015. Developing Equations to Estimate Wetted Area Pattern for Surface and Subsurface Drip Irrigation Systems by Dimensional Analysis. Iranian Journal of Soil and Water Science.
25: 3. 241-252. (In Persian)

12.Karimi, B., Sohrabi, T., Mirzaei, F.and Ababaei, B. 2015. Developing Equations to Estimate the Advance Velocity of the Wetting Front in Surface and Subsurface Drip Irrigation Systems by Dimensional Analysis. Journal of Water and Soil science, 25: 1. 101-112. (In Persian)

13.Karimi, B., and Alinazari, F. 2020. Assessing Different Wetting Front Patterns for Surface Drip Irrigation Systems in Sloping Lands. Journalof Water Research in Agriculture,34: 1. 107-119. (In Persian)

14.Karimi, B., Mohammadi, P., Sanikhani, H., Salih, S.Q., and Yaseen, Z.M. 2020. Modeling wetted areas of moisture bulb for drip irrigation systems: An enhanced empirical model and artificial neural network. Computers and Electronics in Agriculture, 178, p.105767.

15.Karimi, B., Mirzaei, F., and Sohrabi, T. 2013. Evaluation of Moisture Front Redistribution in Surface and Subsurface Drip Irrigation Systems. Journal of Water and Soil science,23: 3. 183-192. (In Persian)

16.Karimi, B., Sohrabi, T., Mirzaei, F.,and Ababaei, B., 2015. Developing equations to predict the Pattern of soils moisture redistribution in surface and subsurface drip irrigation systems using dimension analysis. Journal of Water and Soil Conservation, 21: 6. 223-237. (In Persian)

17.Kilic, M. 2020. A new analytical method for estimating the 3D volumetricwetting pattern under drip irrigation system. Agricultural Water Management, 228, p.105898.

18.Malek, K., and Peters, R.T. 2011. Wetting pattern models for drip irrigation: new empirical model.J. Irrig. Drain. Eng. 137: 530-536.

19.Mohammadbeigi, A., Mirzaei, F., and Ahraf, N. 2017. Simulation of soil moisture distribution under drip irrigation pulsed and continuous in dimensional analysis method. Iranian Journal of Water and Soil Conservation. 23: 6. 163-180. (In Persian)

20.Mohammadbeigi, A., Mirzaei, F.,and Ahraf, N. 2016. Evaluation and comparing of redistribution of moisture in drip irrigation by pulsed flow and continuous flow. Iranian Journal of Soil and Water Research. 47: 3. 467-473.(In Persian)

21.Mohammadi, A., Biglouei, M.H., Khaledian, M.R., Moridnejad, A.R., and Rajabi, J. 2014. Investigation of wetting pattern dimensions on sloping lands. Journal of Science and Technology of Agriculture and Natural Resources,17: 66. 109-121. (In Persian)

22.Mostafazadeh, B., Mousavi, S.F., and Hossain Sharif-Bayanolhagh, M. 1998. Wetting front advance from a point source in sloping fields. JWSS-Isfahan University of Technology, 2: 3. 13-23. (In Persian)

23.Norouzian, Z., Sadraddini, A.A., Nazemi, A.H., and Delirhasannia, R. 2017. Experimental and numerical investigations of soil water distribution under subsurface drip Irrigation in level and sloping layered soils. Journal of Water and Soil Science. 26: 4. 2. 13-27. (In Persian)

24.Rodríguez-Sinobas, L., Zubelzu, S., Martín-Sotoca, J.J., and Tarquis, A.M. 2021. Multiscaling analysis of Soil Water Content during irrigation events. Comparison between surface and subsurface drip irrigation. Geoderma, 382, p.114777.

25.Samadianfard, S., Sadraddini, A.A., Nazemi, A.H., Provenzano, G., and Kisi, O. 2012. Estimating soil wetting patterns for drip irrigation using genetic programming. Spanish J. Agric. Res.10: 1155-1166.

26.Shiri, J., Karimi, B., Karimi, N., Kazemi, M.H., and Karimi, S. 2020. Simulating wetting front dimensions of drip irrigation systems: Multi criteria assessment of soft computing models. J. Hydrol. 585, p.124792.

27.Singh, D.K., Rajput, T.B.S., Sikarwar, H., and Ahmad, V.T. 2006. Simulation of soil wetting pattern with subsurface drip irrigation from line source. Agric. Water Manag. 83: 130-134.

28.Subbaiah, R. 2013. A review of models for predicting soil water dynamics during trickle irrigation, Irrig. Sci.31: 225-258.

29.Tamjid, M., Biglouei, M.H., Khaledian, M.R., Moridnejad, A., and Mohammadi, A. 2015. Comparison of Linear Regression and Neural Networks to Estimate the Wetting Dimensions on Sloping Lands. Journal of Water and Soil science, 24: 4. 237-246. (In Persian)

30.Zur, B. 1996. Wetted soil volume as a design objective in trickle irrigation. Irrigation Science, 16: 101-105.