径流冲刷条件下坡地养分随地表径流迁移数学模型
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国家自然科学基金重点项目(51239009)


Mathematical Model of Soil Nutrient along Surface Runoff under Water Scouring Condition
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    摘要:

    径流冲刷是土壤养分随地表径流流失的重要影响因素之一。为了模拟径流冲刷作用对土壤养分流失的影响,依据饱和土壤条件下有效混合深度概念,建立了径流冲刷条件下坡面土壤养分向地表径流传递的有效混合深度模型。利用试验数据对模型径流养分质量浓度变化过程的效果进行了检验,结果显示不完全混合模型在模拟径流养分质量浓度随放水时间的变化方面效果较好,决定系数均在0.9以上。通过不完全混合模型计算径流养分累计流失量,与实测数据差异很小,当养分为硝态氮时,计算值与实测值之间的相对误差分别为6.6%(柠条)和5.9%(大豆),当养分为水溶性磷时,相对误差分别为1.1%(柠条)和2.3%(大豆),说明模型的模拟精度较高。在选择模型时,应根据计算精度和参数获取方便性等情况综合确定。

    Abstract:

    Overland flow is one of the important factors inducing soil nutrients loss into runoff. In order to simulate and study the effects of overland flow on soil nutrients loss, a mathematical model describing soil nutrients transport with overland flow was developed based on the concept of effective mixing depth and Kostiakvo equation. In addition, the model also makes the corresponding assumptions to simplify the infiltration process. The obtained model was denoted as the incompletemixing model. Field water scouring experimental data was adopted to test the applicability of the proposed model. The experiment was performed on a natural, fallowed loessial slope (38°46′~38°51′N, 110°21′~110°23′E), in 14km west of the Shenmu Erosion and Environment Research Station of the Institute of Soil and Water Conservation, Chinese Academy of Sciences, in the Liudaogou watershed, Shaanxi Province. Field plots were established on a slope that had been fallowed for seven years. Vegetation types cover were adopted (herbaceous and crops), including caragana and soybean. The characteristics of the transport of runoff, nutrients (nitrogen and phosphorus) under different vegetation cover were discussed in this study. Results indicated that the incompletemixing model performed pretty well in predicting the process of nutrients transport into runoff. The correlation coefficients were larger than 0.9 for all the treatments. Moreover, little bias was observed between the measured cumulative mass and the simulated data obtained from the incompletemixing model. Taking nitrate nitrogen for example, the relative errors between the measured data and simulated results were 6.6% (caragana) and 5.9% (soybean). When the nutrient was soluble phosphorus, the relative errors were 1.1% (caragana) and 2.3% (soybean). For better simulation results, the calculation accuracy and simplicity in obtaining parameters should be taken into consideration during model selection. The results in this study will provide significant references for more analysis on nutrients transport into runoff with overland flow in future.

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王全九,赵光旭,陶汪海,刘艳丽,张鹏宇,柴 晶.径流冲刷条件下坡地养分随地表径流迁移数学模型[J].农业机械学报,2016,47(7):189-195.

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  • 收稿日期:2016-03-10
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  • 在线发布日期: 2016-07-10
  • 出版日期: 2016-07-10