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Evaluation of surface ponding and runoff generation in a seasonally frozen drained agricultural field

机译:季节性冻干农业领域地表探测和径流生成的评价

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Surface runoff is often poorly quantified in hydrologic studies of subsurface drained fields, as it is a relatively minor component of the water balance and difficult to measure in large fields. However, conservation practices that seek to mitigate pollutant transport through subsurface drainage may increase surface runoff, and therefore it needs to be better understood. The goal of this study was to determine the frequency and extent of occurrence of surface ponding and runoff, and to understand their generation processes in a seasonally frozen, subsurface drained agricultural field in eastern Indiana. Three different methods were used. Surface ponding was monitored with a time-lapse camera at the edge of the field for three years. A water table threshold for surface ponding was determined using photo evidence of ponding together with water table depth measurements and used to estimate ponding. The DRAINMOD hydrologic model was calibrated and validated by comparing model predictions of subsurface drainage and water table depth with 10 years of field observations and used to predict surface ponding and runoff. The simulation results indicated that surface runoff represented 1-10% of annual precipitation, while subsurface drainage represented between 26 and 45%. On average, 45% of simulated ponding occurred during the cold season (December-March) indicating the importance of soil freezing and snow accumulation. However, during parts of the cold season, DRAINMOD simulations of snow accumulation and melt were poor, resulting in drain flow under-prediction and runoff over-prediction during these periods. Water table depth measurements above the defined threshold provided a simple alternate for prediction of saturation excess ponding events in the absence of direct measurements. Results from both simulations and observations indicated that all of the ponding events in this location were generated by saturation excess rather than infiltration excess processes.
机译:表面径流通常在地下排水场的水文学研究中量化不足,因为它是水平衡的相对较小的组成部分,并且在大田地中难以测量。然而,寻求通过地下排水缓解污染物运输的保护实践可能会增加表面径流,因此需要更好地理解。本研究的目标是确定地面探测和径流发生的频率和程度,并在印第安纳州东部的季节性冻结,地下排出的农业领域中了解他们的发电过程。使用了三种不同的方法。在现场边缘的延时摄像机监测表面池3年。使用池塘与水台深度测量的照片证据确定表面池的水位阈值,并用于估计池塘。通过比较10年的现场观测,通过比较地下排水和水位深度的模型预测和用于预测表面探测和径流来校准和验证的校准水力学模型。仿真结果表明,表面径流代表1-10%的年降水量,而地下排水在26%至45%之间。平均而言,在寒冷的季节(12月至3月)期间发生了45%的模拟池,表明土壤冻结和积雪积累的重要性。然而,在寒冷季节的部分期间,雪积聚和熔体的排水管模拟差,导致在这些时段期间排水流量下降和径流过度预测。在没有直接测量的情况下,定义的阈值上方的水台深度测量提供了一种简单的交替,用于预测饱和过量的探测事件。仿真和观察结果表明,该地点的所有追加事件都是通过饱和过量而不是渗透过量过程产生的。

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