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Variable Source Area Contribution to Stream Flow in Southern Coastal Plain Watersheds

机译:南沿海平原流域流动的可变源区贡献

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Watershed scale model assessments of stream water quality need accurate estimates of water yield and accounting of the location of runoff generation. Several watershed scale studies performed with a model that calculates runoff by the NRCS curve number (CN) method have shown the tendency to underpredict water yield during wet seasons and overpredict water yield during dry periods. We theorize that alluvial storage in southern Coastal Plain watersheds is not being accurately accounted for in the model. This study develops a construct to improve predictions of storm runoff over those based on the current CN method by accounting for seasonal changes in alluvial storage for low-gradient, riparian-buffered stream systems. The construct uses groundwater elevation readings to calculate the alluvial storage. The form of the CN equation will be used, but the initial abstraction, l_a, and maximum retention, S, parameters will be re-defined. Calculations are planned for 37 single-peak events over a 13-year timeframe to verify the concept
机译:流水质量的分水岭规模评估需要准确估计水产量和径流发电地点的核算。使用NRC曲线数(CN)方法计算径流的模型进行了几项流域研究表明,在湿季期间的潜水趋势并在干燥时期溢出水产量。我们理论提高南部沿海平原流域的冲积储存在模型中没有准确地占据。本研究开发了一种构建体,以改善基于当前CN方法的风暴径流预测,通过算用于低梯度,河岸缓冲流系统的季节性变化。构造使用地下水仰视读数来计算冲积储存。将使用CN方程的形式,但初始抽象,L_A和最大保留,也将重新定义参数。在13年的时间框架上计划计算37个单高峰事件以验证概念

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