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首页> 外文期刊>Soil Science Society of America Journal >Estimating the Influence of Nitrogen Transformations on Nitrate Leaching in Soils
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Estimating the Influence of Nitrogen Transformations on Nitrate Leaching in Soils

机译:估算氮转化对土壤硝态氮淋溶的影响

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It is challenging to estimate N leaching in soils attributable to complicated physical, chemical, and biological processes. In this study, a transfer function model was developed to simulate the outflow concentration of NO3 in the field, considering the influence of transient water flow, input of applied N, initial residual N in the soil, and main N transformations on the NO3-N leaching process. The N transformations in the model included immobilization, mineralization, volatilization, and plant uptake. In the probability density function of NO3-N, a weighting factor was introduced to quantify the leaching contributions from applied and residual N. A field experiment was conducted for 196 d during the growing seasons of winter wheat (Triticum aestivum L.) and summer maize (Zea mays L.). Soil water potential and NO3 concentrations were measured during the study period along two soil profiles to a depth of 2 m: at 0.10-m intervals from the soil surface to the 1-m depth, and at 0.20-m intervals from 1 to 2 m. A comparison between the experimental data and simulated results with the transfer function showed that the model provided reasonable predictions of the N leaching process as well as the total amount leached at the 2-m depth. Results also indicated that by considering the transient water condition and N transformations, the transfer function significantly increased the estimation accuracy. Compared with the measured data, relative errors of the estimated total N leached were 1 and 20% with and without considering the transient water condition and the N transformations, respectively. The transfer function with the weighting factor can be useful to estimate the contributions from the applied and residual N to the leaching process in the field.
机译:估算归因于复杂的物理,化学和生物过程的土壤中氮的淋溶具有挑战性。在这项研究中,开发了一个传递函数模型来模拟田间NO3的流出浓度,其中考虑了瞬时水流量,施加的N输入,土壤中的初始残留N以及土壤中主要的N转化对NO3-N的影响。浸出过程。模型中的N个转化包括固定化,矿化,挥发和植物吸收。在NO3-N的概率密度函数中,引入了一个加权因子来量化施用氮和残留氮的淋溶贡献。在冬小麦(Triticum aestivum L.)和夏季玉米的生长季节进行了196 d的田间试验。 (Zea mays L.)。在研究期间,沿着两个土壤剖面测量深度为2 m的土壤水势和NO3浓度:从土壤表面到1-m深度的间隔为0.10-m,从1到2 m的间隔为0.20-m 。将实验数据与模拟结果与传递函数进行比较,结果表明该模型对N浸出过程以及2 m深处的浸出总量提供了合理的预测。结果还表明,通过考虑瞬态水条件和N转换,传递函数显着提高了估计精度。与实测数据相比,估计的总N淋失的相对误差分别为1%和20%(不考虑过渡水条件和N转化)。具有加权因子的传递函数可用于估计现场施加的和残留的N对浸出过程的贡献。

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