基于畦灌灌水效果的土壤入渗参数预测精度控制研究  

Research on the Soil Infiltration Parameters Prediction Accuracy Control Based on Irrigation Effect of Border Irrigation

作　　者：雷国庆[1] 樊贵盛[1] 

机构地区：[1]太原理工大学,太原030024

出　　处：《节水灌溉》2016年第1期81-84,共4页Water Saving Irrigation

基　　金：国家自然科学基金项目(40671081);山西省地面灌溉节水技术参数手册研编(2015-JS-1)

摘　　要：为实现土壤入渗参数预测精度的有效控制,以汾东灌区北长寿的灌水试验为背景,对灌水技术参数进行包括灌水效率Ea、储水效率Es和灌水均匀度Du在内的多目标模糊优化。在优化灌水的条件下,选用三参数Kostiakov入渗模型,将入渗参数k、α和f0不同程度地偏离,利用WinSRFR对不同入渗参数下的灌水效果进行模拟,分析灌水效果评价指标对入渗参数变化的敏感程度。结果表明:入渗参数k和f0偏离对灌水效果指标的影响明显较入渗指数α偏离的影响大;Ea和Es对入渗参数偏离的敏感程度相当,而Du的敏感程度大于Ea和Es。在此基础上结合灰色关联理论,建立入渗参数预测精度控制模型,以实现土壤传递函数的有效建立。In order to achieve the effective control of the soil infiltration parameters prediction accuracy,this paper uses the irrigation experiment in Beichangshou of the eastern Fen river irrigation district as the background,chooses three irrigation parameters,including irrigation efficiency Ea,storage efficiency Esand distribution uniformity Du,to conduct the multi-objective Fuzzy Optimization.Under the optimal irrigation condition,this paper chooses three parameter Kostiakov infiltration model to deviate the infiltration parameters k,αand f0 under different degrees,uses WinSRFR under different infiltration parameters to simulate the irrigation effect,and analyze the sensitive degree of irrigation effect evaluation index to the change of infiltration parameters.The results show that the effects of the deviation of infiltration parameters kand f0 are obviously bigger than that of the deviation of the infiltration indexα;the sensitive degree of Eato the infiltration parameters deviation is the same as that of Es;while the sensitive degree of Duis greater than those of Eaand Es.On the basis of grey correlation theory,an infiltration parameters prediction accuracy control model is established so as to realize effectively establishing the soil transfer functions.

关 键 词：土壤水分入渗参数 畦灌 灌水效果 灰色关联 精度控制 

分 类 号：S274.1[农业科学—农业水土工程]