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首页> 外文期刊>Agricultural Water Management >DRAINMOD Simulation of macropore flow at subsurface drained agricultural fields: Model modification and field testing
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DRAINMOD Simulation of macropore flow at subsurface drained agricultural fields: Model modification and field testing

机译:地下排水农业领域的Macropore流量的漏极模拟:模型修改与现场测试

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摘要

Macropores are critical pathways through which water and pollutants can bypass the soil matrix and be rapidly transported to subsurface drains and freshwater bodies. We modified the DRAINMOD model to simulate macropore flow using a simple approach as part of developing the DRAINMOD-P model to simulate phosphorus dynamics in artificially drained agricultural lands. The Hagen-Poiseuille's law was used to estimate the flow capacity of macropores. When ponding depths on the soil surface are greater than Kirkham's depth, water is assumed to flow through macropores directly to tile drains without interaction with the soil matrix. In the modified model, macropore size is adjusted based on wet or dry conditions while connectivity is altered by tillage. The model was tested using a 4-year data set from a subsurface drained field in northwest Ohio. The soils at the field are classified as very poorly drained and are prone to desiccation cracking. The modified model predicted the daily and monthly subsurface drainage with average Nash-Sutcliffe efficiency (NSE) values of 0.48 and 0.59, respectively. The cumulative drainage over the 4-year simulation period was under-predicted by 8%. The new macropore component was able to capture about 75% of 60 peak drainage flow events. However, surface runoff was over-predicted for the entire study period. Annual water budgets using measured data (precipitation, subsurface drainage, and surface runoff) and model predictions (evapotranspiration, vertical seepage, and change in storage) were not balanced with an average annual imbalance of 6.4 cm. The lack of closure in the water balance suggests that errors may have occurred in field measurements, particularly, surface runoff. Overall, incorporating macropore flow into DRAINMOD improved predictions of daily drainage peaks and enabled the model to predict subsurface drainage flux contributed by macropore flow, which is critical for expanding DRAINMOD to simulate phosphorus transport in subsurface drained agricultural land.
机译:大孔是水和污染物可以绕过土壤基质并迅速运输到地下排水管和淡水体的关键途径。我们修改了漏极模型模型,模拟了Macropore流量,使用简单的方法是开发漏极模型的一部分,以模拟人为排水农业土地中的磷动力学。 Hagen-Poiseuille的法律用于估计大量的流量。当土壤表面上的池塘深度大于Kirkham的深度时,假设水通过与土壤基质的相互作用直接通过瓦片流过宏级。在修改模型中,基于潮湿或干燥条件调节大孔尺寸,同时通过耕作改变连接。使用来自俄亥俄州西北地区的地下排水场的4年数据集进行了测试。该领域的土壤被归类为非常差的排水,并且易于干燥裂缝。修改模型预测了每日和月度地下排水,平均纳什 - Sutcliffe效率(NSE)值分别为0.48和0.59。 4年仿真期上的累积排水率下降了8%。新的Macropore组件能够捕获约75%的60个峰值排水流程。但是,整个研究期间过度预测了表面径流。使用测量数据(降水,地下排水和表面径流)和模型预测(蒸散蒸腾,垂直渗漏和储存的变化)的年度水预算并不平衡,平均每年不平衡为6.4厘米。水平缺乏闭合表明,误差可能发生在现场测量中,特别是表面径流。总的来说,将Macropore流入排水管改善了每日排水峰的预测,并使模型预测由大孔流量贡献的地下排水助焊剂,这对于扩展漏极模拟地下排放农业土地的磷输送至关重要。

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