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首页> 外文期刊>Soil Science Society of America Journal >An Inverse Method to Estimate the Source-Sink Term in the Nitrate Transport Equation
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An Inverse Method to Estimate the Source-Sink Term in the Nitrate Transport Equation

机译:估算硝酸盐输运方程中源-库项的逆方法

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摘要

The source-sink term (SST) in the convection-dispersion equation (CDE) to simulate nitrate (NO3––N) transport integrates several NO3––N transformation processes in soils. The term is affected by considerably complicated micro-environmental conditions and is difficult to be measured directly. In this study, the average SST distribution was estimated by solving the CDE with an unknown SST iteratively using an inverse method. The required input information for the SST estimation was easily obtained, including soil hydraulic properties, two successively measured NO3––N concentration distributions, and the boundary and initial conditions. Numerical experiments were designed to examine the accuracy and stability of the inverse approach, considering spatial intervals of measurement data along the soil profile, time intervals between the successive measurements of soil NO3––N concentration, boundary conditions, layered soils, and measurement errors of NO3––N concentration. Comparisons with theoretical results showed that the inverse method was reliable for estimating the SST in the CDE. Data from a column experiment with winter wheat (Triticum aestivum L. ) growth were used to demonstrate applications of the inverse method. The root-nitrate-uptake (RNU) rate distributions were estimated according to the proposed inverse procedure and the soil NO3––N transport with RNU in the columns was simulated. The simulated soil NO3––N concentration distributions were comparable with the measured values. The relative errors between the simulated and measured values of the total N mass extracted by winter wheat were <10%.
机译:对流弥散方程 (CDE)中模拟硝酸盐(NO 3 –N)传输的源-库项(SST)积分 土壤中的几种NO 3 –N转化过程。 该术语受相当复杂的微环境< sup> 条件,很难直接进行测量。在此 研究中,通过使用逆方法迭代求解 具有未知SST的CDE来估计平均SST分布。 容易 获得SST估计值,包括土壤水力特性,连续两次测量 NO 3 –N浓度分布,以及 边界条件和初始条件。 进行了数值实验,以考虑反演方法的准确性和稳定性,其中考虑了测量数据沿土壤剖面的空间间隔,土壤 sub> 3 –N浓度,边界 条件,分层土壤以及土壤的测量误差的连续 测量NO 3 –N 浓度。与理论结果的比较表明, 逆方法对于估计 CDE中的SST是可靠的。利用冬小麦(Triticum aestivum L.)生长的柱实验数据证明了 反方法的应用。根据拟议的逆过程和 土壤NO 3 – 估计了根硝酸盐吸收(RNU)速率分布 / sup> –N中在 列中使用RNU的传输进行了模拟。模拟的土壤NO 3 –N浓度 分布与实测值相当。冬小麦提取的 总氮质量的模拟值与实测值之间的 相对误差为<10%。

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  • 来源
    《Soil Science Society of America Journal 》 |2007年第1期| 26-34| 共9页
  • 作者

    Jianchu Shi; Qiang Zuo;

  • 作者单位

    Dep. of Soil and Water Sciences and Key Lab., of Plant-Soil Interactions, MOE, College of Resources and Environment, China Agricultural Univ., Beijing 100094, China;

    Dep. of Soil and Water Sciences and Key Lab., of Plant-Soil Interactions, MOE, College of Resources and Environment, China Agricultural Univ., Beijing 100094, China;

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