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Modeling the soil water balance based on time-dependent hydraulic conductivity under different tillage practices
Affiliation:1. China Institute of Water Resources and Hydropower Research (IWHR), 20 West Chegongzhuang Rd., P.O. Box 366, Beijing, PR China;2. Institute of Environmental Science and Technology, Swiss Federal Institute of Technology, ISTE/HYDRAM, ENAC, EPFL, 1015 Lausanne, Switzerland;1. Center for Sustainable Systems, School of Natural Resources and Environment, University of Michigan, 440 Church Street, Ann Arbor, MI 48109, USA;2. The Nature Conservancy, 4245 Fairfax Drive, Arlington, VA 22203, USA;1. Federal State Budgetary Educational Establishment of Higher Education Bashkir State Agrarian University, Ufa, Russia;2. Federal State Budgetary Scientific Institution Federal Scientific Agroengineering Center VIM, Moscow, Russia;3. Federal State Budgetary Educational Institution of Higher Education Kazan State Agrarian Universitу, Kazan, Russia;4. Federal State Budgetary Educational Institution of Higher Education South Ural State Agrarian University, Chelyabinsk, Russia;1. Department of Biosystems Engineering, College of Agriculture, Isfahan University of Technology, Isfahan 84156-83111, Iran;2. Department of Biosystem Engineering, Faculty of Agricultural Technology, University of Mohaghegh Ardabili, Ardabil 56199-11367, Iran;3. Department of Mining Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran;1. Department of IWSG, IHE-Delft Institute for Water Education, P.O. Box 3015, 2601 DA Delft, The Netherlands;2. Faculty of Civil Engineering and Geosciences, Delft University of Technology, P.O. Box 5048, 2600 GA Delft, The Netherlands;3. International Center for Tropical Agriculture (CIAT), Km 17 recta Cali-Palmira, P.O. Box. 763537 Cali, Colombia
Abstract:A simulation model with time-dependent hydraulic conductivity parameters was used to predict the effects of three different tillage practices: conventional tillage (CT), no-tillage (NT) and subsoiling tillage (ST) on the components of the soil water balance during the summer maize growing season. The predictive capability of the model was improved, particularly for the subsoiling tillage case. The simulation results show that temporal changes in soil hydraulic conductivity induced by different tillage practices can affect percolation, water storage, transpiration and evaporation. Differences in the simulated components of the water balance were found to be small between CT and NT practices, but larger in the ST case. Compared with the conventional and no-tillage methods, subsoiling promotes infiltration and deep percolation, thereby favoring a possible recharge of the groundwater. Actual evaporation is always lower in the subsoiled plots, whatever the hydrological year. Transpiration is similar for the three treatments, suggesting no significant differences in water availability, except in wet years where it is higher in subsoiled soils.
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