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作 者:王仰仁[1] 李炎[1] 金建华[1] 韩娜娜[1]
出 处:《天津农学院学报》2013年第1期1-6,共6页Journal of Tianjin Agricultural University
基 金:天津市应用基础及前沿技术研究计划项目"灌溉施肥动态决策及实施模式研究"(10JCYBJC09400)
摘 要:在广泛开展的灌溉试验过程中,积累了大量的田间土壤含水率测试数据。充分利用这些资料,运用参数反演法求取或者改善土壤水分运动参数对于土壤墒情的监测预报和农田水循环研究具有重要意义。本文以天津农学院农田水循环试验基地2009年度冬小麦返青到收获期实测的土壤含水率为依据,以土壤含水率模拟值与实测值相对误差平方和最小化为目标函数,以文献中获取的土壤水分运动参数变化范围为约束条件,建立了参数反演模型,采用内点法求得了适合于该试验基地土壤特性的水分运动参数。研究结果表明,参数反演可明显提高田间土壤水分模拟精度,合理选择优化初始值和步长缩放因子有助于改善参数的优化结果,比较以相对值误差平方和最小化目标函数和以绝对值误差平方和最小化目标函数,前者可以提高表层土壤含水率模拟精度。During many irrigation experiments, the field soil moisture data are accumulated. The soil water movement parameters could be acquired or improved by inversion method through using these data. There is of great significance in monitoring and forecasting soil moisture and studying field water cycle. In this paper, according to the measured soil moisture of 2009 winter wheat from reviving to harvesting at the field water cycle test base in Tianjin Agricultural University, the objective function is established with the minimum of the relative error square sum between the simulated and measured value of the soil moisture content. The constraint is the diversification range of the water movement parameters acquired from the documents. The parameter inversion model is established. The water transport parameters of this test base on soil characteristics are acquired by use of the interior point method. The research result shows that the simulation accuracy of the field soil moisture is significantly improved by the parameter inversion.
分 类 号:P641.131[天文地球—地质矿产勘探] S152.72[天文地球—地质学]
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