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Evaluation of a generic agro-hydrological model for water and nitrogen dynamics (SMCR_N) in the soil–wheat system\ud

机译:土壤-小麦系统中水氮动态通用农业水文学模型的评估\ ud

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摘要

Agro-hydrological models have widely been used for optimizing resources use in agriculture for maximum crop growth and minimum environmental consequences. The SMCR_N model is a recently developed, process-based, multi-crop and management-oriented agro-hydrological model for water and nitrogen dynamics in the soil–crop system, and has been validated against data from field experiments over a range of vegetable crops. In this study, the model is further tested against the comprehensive measured datasets from field experiments conducted under different circumstances on wheat. It has been found that given the proper parameterization of the simple growth equation, which worked well with vegetable crops, the model was able to simulate wheat growth accurately. The predicted relative root length density distributions at various development stages agreed with the measurements and those modeled by alternative approaches in the literature. The explicit hydrological algorithm for the basic equations governing water and nitrogen transport in soil performed well. Compared with other conventional numerical schemes, the algorithm used in the study was much simpler and easy to implement. The simulated spatial–temporal soil water content was in good agreement with the measurements, given the information of groundwater table was known. The model was also capable of reproducing the data of nitrogen uptake and soil mineral nitrogen concentration measured at depths and at time intervals. This indicates that the key equations for various processes governing water and nitrogen dynamics in the soil–wheat system were correctly formulated, and the model was properly parameterized. The results from this exercise, together with the model's previous validation over 16 vegetable crops, make the model a good candidate to be used for water and nitrogen management for growing diverse crops.
机译:农业水文学模型已被广泛用于优化农业资源利用,以实现最大的作物生长和最小的环境影响。 SMCR_N模型是针对土壤-作物系统中水和氮动态的最近开发的,基于过程的,基于多作物和管理型的农业水文学模型,并已针对多种蔬菜作物的田间试验数据进行了验证。 。在这项研究中,针对在不同情况下对小麦进行的田间试验的综合测量数据集,对该模型进行了进一步测试。已经发现,只要对简单的生长方程进行适当的参数设置,该方程对蔬菜作物就可以很好地工作,该模型就能够准确地模拟小麦的生长。在各个发育阶段的预测相对根长密度分布与这些测量结果一致,并通过文献中的替代方法进行了建模。用于控制土壤中水和氮迁移的基本方程的显式水文算法表现良好。与其他常规数值方案相比,本研究中使用的算法更加简单易实现。在已知地下水位信息的前提下,模拟的时空土壤水分含量与实测值吻合良好。该模型还能够重现在一定深度和时间间隔下测得的氮素吸收和土壤矿质氮含量的数据。这表明正确地制定了控制土壤-小麦系统中水和氮动力学的各种过程的关键方程,并对模型进行了适当的参数设置。此练习的结果,加上该模型先前对16种蔬菜作物的验证,使该模型成为用于种植各种作物的水和氮管理的理想选择。

著录项

  • 作者

    Zhang, Kefeng;

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  • 年度 2010
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  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
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