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基于撒施施肥方式下畦灌试验数据,从传统平均相对误差和马尔科夫随机过程两个角度,对二维撒施畦灌地表水流溶质运移模型进行了验证.基于传统平均相对误差的结果表明,模型模拟的水流推进与消退的平均相对误差分别为4.98%和9.37%,水量平衡误差为0.28%,模拟各测点的溶质质量浓度变化过程平均相对误差为8.64%～14.22%,溶质平衡误差0.58%,构建的模型不仅具有较好的模拟二维撒施畦灌地表水流运动和溶质质量浓度变化过程的能力,还具备较佳的水量与溶质质量守恒性.基于马尔科夫随机过程的计算结果表明,地形项的随机性对模拟效果的影响为88.68%～96.21%,而畦面土壤物理属性等模型未能考虑因素的随机性对各测点溶质质量浓度变化的影响为3.79%～11.32%,因此仅考虑畦面微地形分布随机性的模型,具备优良的二维撒施畦灌地表水流和溶质运移过程的模拟性能.构建的模型为评价撒施施肥方式下的畦灌施肥系统性能,提供了合理完备的实用性数值模拟工具.
Based on the experimental data of sprinkling irrigation under spreading and fertilization methods, the solute transport model of two-dimensional surface flow was studied based on the traditional mean relative error and Markov random process. Based on the results of traditional mean relative error, The average relative errors of water flow simulation and regression were 4.98% and 9.37% respectively. The water balance error was 0.28%. The average relative error of solute concentration concentration was 8.64% -14.22% and the solute balance error was 0.58 %, The constructed model not only has the better ability to simulate the surface water flow movement and the concentration of solute in the two-dimensional scatter irrigation, but also has the better water quantity and the conservation of solute mass.The calculation results based on the Markov random process The randomness of topographic items has an effect on the simulated results of 88.68% ~ 96.21%. However, the influence of unaddistributed factors on the solute concentration changes at each measuring point is 3.79% ~ 11.32% Therefore, only considering the randomness of surface micro-topography distribution, it has the good simulation performance of surface flow and solute transport in two-dimensional spreading. Model to evaluate system performance under the applicator strip fertigation fertilization, there is provided a reasonably complete practical numerical simulation tool.