The purpose of this study is to advance our current understanding of soil moisture storage in subsurface and water infiltration rate in loess soil. Therefore, a set of experiments was conducted on two soil columns filled with silty clay loam, with and without applying cavity technical method. For the soil column applied with loess cavity, the ponding infiltration was simulated using HYDRUS-2D/3D, version 2.x and the simulated results were verified by those of observation. The results show that 1) the loess cavity significantly decreased the infiltration rates when the flux permeated through it (varying from 0.358 to 0.208 cm·min -1 ) as compared with no cavity soil column (varying from 0.408 to 0.241 cm·min -1 ); 2) similarly, the total cumulative infiltration and at the termination of wetting front advancement of soil column with cavity were 66 cm and 69 cm lower than that of no cavity soil column (76 and 78 cm), respectively. Consequently, the soil moisture at the subsurface and surrounding the loess cavity was effectively ameliorated; 3) the model was capable of predicting water infiltration processes in the soil column with loess cavity, and the root mean square error of simulated water contents, wetting front advancements, cumulative infiltrations, and infiltration rates were from 0.22 to 3.63 cm 3 ·cm -3 , 1.6 to 3.63 cm, 3.44 cm, and 0.026 cm·min -1 , respectively. Overall, the findings in this study indicate that loess cavity can effectively increase soil moisture storage at shallow surface and the HYDRUS-2D/3D model is capable of simulating and predicting scenarios to help achieve stable shallow soil surface with loess cavity.
KeywordsLoess CavityHYDRUS-2D/3DWetting Front AdvancementInfiltration RateCumulative InfiltrationWater Content
Fu, B. (1989) Soil Erosion and Its Control in the Loess Plateau of China. Soil Use and Management, 5, 76-82. https://doi.org/10.1111/j.1475-2743.1989.tb00765.x
Cai, Q.G. (2001) Soil Erosion and Management on the Loess Plateau. Journal of Geographical Sciences, 11, 53-70. https://doi.org/10.1007/BF02837376
Hui, S. and Shao, M. (2000) Soil and Water Loss from the Loess Plateau in China. Journal of Arid Environments, 45, 9-20. https://doi.org/10.1006/jare.1999.0618
Ritsema, C.J. (2003) Introduction: Soil Erosion and Participatory Land Use Planning on the Loess Plateau in China. Catena, 54, 1-5. https://doi.org/10.1016/S0341-8162(03)00052-3
Zhang, Q., et al. (2009) Effects of Land Use on Soil Quality on the Loess Plateau in Northwest Shanxi Province. In: Computer and Computing Technologies in Agriculture II, Volume 1, Springer US, Boston.
Yi, L. and Shao, M. (2007) Experimental Study on Influence Factors of Rainfall and Infiltration under Artificial Grassland Coverage. Transactions of the Chinese Society of Agricultural Engineering, 23, 18-23.
He, B., et al. (2015) Dynamic Response of Satellite-Derived Vegetation Growth to Climate Change in the Three North Shelter Forest Region in China. Remote Sensing, 7, 9998-10016. https://doi.org/10.3390/rs70809998
Qu, B., et al. (2015) Spatio-Temporal Changes in Vegetation Activity and Its Driving Factors During the Growing Season in China from 1982 to 2011. Remote Sensing, 7, 13729-13752. https://doi.org/10.3390/rs71013729
Yao, Z., et al. (2016) Multiple Afforestation Programs Accelerate the Greenness in the “Three North” Region of China from 1982 to 2013. Ecological Indicators, 61, 404-412. https://doi.org/10.1016/j.ecolind.2015.09.041
Chen, N., Ma, T. and Zhang, X. (2016) Responses of Soil Erosion Processes to Land Cover Changes in the Loess Plateau of China: A Case Study on the Beiluo River Basin. Catena, 136, 118-127. https://doi.org/10.1016/j.catena.2015.02.022
Yan, R., et al. (2016) Topographical Distribution Characteristics of Vegetation Restoration in the Beiluo River Basin from 1995 to 2014. Journal of Northeastern University Nature Science, 37, 1598-1603.
Cao, S., et al. (2016) Ecosystem Water Imbalances Created during Ecological Restoration by Afforestation in China, and Lessons for Other Developing Countries. Journal of Environmental Management, 183, 843-849. https://doi.org/10.1016/j.jenvman.2016.07.096
Lei, D., et al. (2016) Severe Depletion of Soil Moisture Following Land-Use Changes for Ecological Restoration: Evidence from Northern China. Forest Ecology Management, 366, 1-10. https://doi.org/10.1016/j.foreco.2016.01.026
Jia, X., et al. (2017) Soil Moisture Decline Due to Afforestation across the Loess Plateau, China. Journal of Hydrology, 546, 113-122. https://doi.org/10.1016/j.jhydrol.2017.01.011
Dang, J.Q., et al. (2001) Improving Soil Moisture-Holding Capacity Using Cavity-Making by Explosion in the Loess Plateau. Transactions of the Chinese Society of Agricultural Engineering, 17, 161-164.
Yan, B.W., Dang, J.Q. and Zhang, R.H. (2005) Research on the Restrain Effective on Soil-Water Evaporation of the Technology of Cavity-Making by Explode in Farmland. Water Saving Irrigation, 6, 8-10.
Dang, J.Q., et al. (2002) Application of Cavity-Making by Explosion in Arid-Agriculture. Journal of Hydraulic Engineering, 33, 103-106.
Dang, J.Q., et al. (2002) Experiment on Technique of Cavity Making by Explosion in Agriculture. Journal of Northwest Sci-Tech University of Agriculture, 30, 174-176.
Dang, J.Q., et al. (2002) Application of Cavity-Making by Explosion in Arid-Agriculture. Journal of Hydraulic Engineering, 10, 103-106.
Van Dam, J.C., et al. (1997) Theory of Swap Version 2.0; Simulation of Water Flow, Solute Transport and Plant Growth in the Soil-Water-Atmosphere-Plant Environment. DLO Win and Staring Centre, Wageningen, 287-295.
Douglasmankin, K.R., Srinivasan, R. and Arnold, J.G. (2010) Soil and Water Assessment Tool (Swat) Model: Current Developments and Applications. American Society of Agricultural and Biological Engineers, 53, 1423-1431.
Fernández, J.E., et al. (2002) Simulating the Fate of Water in a Soil-Crop System of a Semi-Arid Mediterranean Area with the Wave 2.1 and the Euro-Access-Ii Models. Agricultural Water Management, 56, 113-129. https://doi.org/10.1016/S0378-3774(02)00009-4
Ghosh, R.K. and Maity, S.P. (1976) Influence of Antecedent Moisture on Infiltration of Water into Soils (in Situ). Soil Science Society of America Journal, 122, 124-125. https://doi.org/10.1097/00010694-197608000-00009
Liu, X., et al. (2005) Scs Model Based on Geographic Information and Its Application to Simulate Rainfall-Runoff Relationship at Typical Small Watershed Level in Loess Plateau. Transactions of the Chinese Society of Agricultural Engineering, 21, 93-97.
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, 53-63. https://doi.org/10.1016/j.agwat.2007.04.012
Wang, et al. (1999) Modified Green and Ampt Models for Layers Soil Infiltration and Muddy Water Infiltration. Soil Science Society of America Journal, 164, 445-453. https://doi.org/10.1097/00010694-199907000-00001
Cooley, R.L. (1983) Some New Procedures for Numerical Solution of Variably Saturated Flow Problems. Water Resources Research, 19, 1271-1285. https://doi.org/10.1029/WR019i005p01271
Huyakorn, P.S., et al. (1986) A Three-Dimensional Finite-Element Model for Simulating Water Flow in Variably Saturated Porous Media. Water Resources Research, 22, 1790-1808. https://doi.org/10.1029/WR022i013p01790
Neuman, S.P. (1973) Saturated-Unsaturated Seepage by Finite Elements. Journal of the Hydraulics Division, 99, 2233-2250.
Kumar, S., Sharma, P.K. and Hari Prasad, K.S. (2014) Modeling of Unsaturated Flow Using Hydrus Software. Race-2014, Paper ID: 1434.
Richards, A.L. (1931) Capillary Conduction of Liquids in Porous Mediums. Physics, 1, 318-333. https://doi.org/10.1063/1.1745010
Arampatzis, G., et al. (2001) Estimation of Unsaturated Flow in Layered Soils with the Finite Control Volume Method. Irrigation & Drainage, 50, 349-358. https://doi.org/10.1002/ird.31
Simunek, J., Genuchten, M.T.V. and Šejna, M. (2005) The Hydrus1d Software Package for Simulating the Movement of Water, Heat, and Multiple Solutes in Variably Saturated Media, Version 3.0.
Karandish, F. and Šimunek, J. (2016) A Comparison of Numerical and Machine-Learning Modeling of Soil Water Content with Limited Input Data. Journal of Hydrology, 543, 892-909. https://doi.org/10.1016/j.jhydrol.2016.11.007
Tafteh, A. and Sepaskhah, A.R. (2012) Application of Hydrus1d Model for Simulating Water and Nitrate Leaching from Continuous and Alternate Furrow Irrigated Rapeseed and Maize Fields. Agricultural Water Management, 113, 19-29. https://doi.org/10.1016/j.agwat.2012.06.011
Karandish, F. and Darzi-Naftchali, A. (2017) Application of Hydrus (2d/3d) for Predicting the Influence of Subsurface Drainage on Soil Water Dynamics in a Rainfed-Canola Cropping System. Irrigation and Drainage, 67, 29-39.
Li, X., et al. (2015) Modeling Soil Water Dynamics in a Drip-Irrigated Intercropping Field under Plastic Mulch. Irrigation Science, 33, 289-302. https://doi.org/10.1007/s00271-015-0466-4
Mashayekhi, P., et al. (2016) Different Scenarios for Inverse Estimation of Soil Hydraulic Parameters from Double-Ring Infiltrometer Data Using Hydrus-2d/3d. International Agrophysics, 30, 203-210. https://doi.org/10.1515/intag-2015-0087
Sasidharan, S., et al. (2018) Evaluating Drywells for Stormwater Management and Enhanced Aquifer Recharge. Advances in Water Resources, 116, 167-177. https://doi.org/10.1016/j.advwatres.2018.04.003
Simunek, J., et al. (2017) Vadose Zone Fate and Transport Simulation of Chemicals Associated with Coal Seam Gas Extraction. AGU Fall Meeting.
Weiss, T., Dahan, O. and Turkeltub, T. (2015) Numerical Model of Water Flow and Solute Accumulation in Vertisols Using Hydrus 2d/3d Code. EGU General Assembly Conference.
El-Nesr, M.N., Alazba, A.A. and Šimunek, J. (2014) Hydrus Simulations of the Effects of Dual-Drip Subsurface Irrigation and a Physical Barrier on Water Movement and Solute Transport in Soils. Irrigation Science, 32, 111-125. https://doi.org/10.1007/s00271-013-0417-x
Wang, C., Mao, X. and Hatano, R. (2014) Modeling Ponded Infiltration in Fine Textured Soils with Coarse Interlayer. Soil Science Society of America Journal, 78, 745-753. https://doi.org/10.2136/sssaj2013.12.0535
Šimunek, J., Genuchten, M.T.V. and Šejna, M. (2016) Recent Developments and Applications of the Hydrus Computer Software Packages. Vadose Zone Journal, 6.
Simunek, J. (2008) Development and Applications of the Hydrus and Stanmod Software Packages, and Related Codes. Vadose Zone Journal, 72, 587-600. https://doi.org/10.2136/vzj2007.0077
Šim, J., van Genuchten, M.T. and Šejna, M. (1999) The Hydrus-2d Software Package for Simulating the Two-Dimensional Movement of Water, Heat, and Multiple Solutes in Variably-Saturated Media: Version 2.0. Colorado School of Mines.
Šimunek, J., Van Genuchten, M.T. and Šejna, M. (2006) The Hydrus Software Package for Simulating Two- and Three-Dimensional Movement of Water, Heat, and Multiple Solutes in Variably-Saturated Media. Technical Manual, Version, 1, 241.
Van Genuchten, M.T. (1980) A Closed-Form Equation for Predicting the Hydraulic Conductivity of Unsaturated Soils 1. Soil Science Society of America Journal, 44, 892-898. https://doi.org/10.2136/sssaj1980.03615995004400050002x
Mualem, Y. (1976) A New Model for Predicting the Hydraulic Conductivity of Unsaturated Porous Media. Water Resources Research, 12, 513-522. https://doi.org/10.1029/WR012i003p00513
Neuman, S.P. (1976) Wetting Front Pressure Head in the Infiltration Model of Green and Ampt. Water Resources Research, 12, 564-566. https://doi.org/10.1029/WR012i003p00564
Ebrahimian, H., et al. (2012) Comparison of One- and Two-Dimensional Models to Simulate Alternate and Conventional Furrow Fertigation. Journal of Irrigation & Drainage Engineering, 138, 929-938. https://doi.org/10.1061/(ASCE)IR.1943-4774.0000482
Schaap, M.G., Leij, F.J. and Genuchten, M.T.V. (2001) Rosetta: A Computer Program for Estimating Soil Hydraulic Parameters with Hierarchical Pedotransfer Functions. Journal of Hydrology, 251, 163-176. https://doi.org/10.1016/S0022-1694(01)00466-8
Weik, M.H. (2001) Root-Mean-Square Deviation, in Computer Science and Communications Dictionary. Springer US, Boston, 1501. https://doi.org/10.1007/1-4020-0613-6
Nash, J.E. (1970) River Flow Forecasting through Conceptual Models. Part 1-a Discussion of Principles. Journal of Hydrology, 10, 282-290. https://doi.org/10.1016/0022-1694(70)90255-6
Bannayan, M. and Hoogenboom, G. (2009) Using Pattern Recognition for Estimating Cultivar Coefficients of a Crop Simulation Model. Field Crops Research, 111, 290-302. https://doi.org/10.1016/j.fcr.2009.01.007
Hammecker, C., et al. (2010) Experimental and Numerical Study of Water Flow in Soil under Irrigation in Northern Senegal: Evidence of Air Entrapment. European Journal of Soil Science, 54, 491-503. https://doi.org/10.1046/j.1365-2389.2003.00482.x
Tan, X., et al. (2015) Field Analysis of Water and Nitrogen Fate in Lowland Paddy Fields under Different Water Managements Using Hydrus1d. Agricultural Water Management, 150, 67-80. https://doi.org/10.1016/j.agwat.2014.12.005
Weihermüller, L., Kasteel, R. and Vereecken, H. (2006) Soil Heterogeneity Effects on Solute Breakthrough Sampled with Suction Cups. Vadose Zone Journal, 5, 886-893. https://doi.org/10.2136/vzj2005.0105
Chen, M., Willgoose, G.R. and Saco, P.M. (2014) Spatial Prediction of Temporal Soil Moisture Dynamics Using Hydrus1d. Hydrological Processes, 28, 171-185. https://doi.org/10.1002/hyp.9518
Krause, P., Boyle, D. and Bäse, F. (2005) Comparison of Different Efficiency Criteria for Hydrologic Models. Advances in Geosciences, 5, 89-97. https://doi.org/10.5194/adgeo-5-89-2005
Ying, M., et al. (2010) Modeling Water Infiltration in a Large Layered Soil Column with a Modified Green-Ampt Model and Hydrus1d. Computers Electronics in Agriculture, 71, S40-S47.