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首页> 外文期刊>Water resources research >Interpretation of concentration-discharge patterns in acid-neutralizing capacity during storm flow in three small, forested catchments in Shenandoah National Park, Virginia
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Interpretation of concentration-discharge patterns in acid-neutralizing capacity during storm flow in three small, forested catchments in Shenandoah National Park, Virginia

机译:弗吉尼亚州谢南多厄国家公园三个小林区流域暴风雨过程中酸中和能力中的浓度-放电模式的解释

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Episodic concentration-discharge (c-Q) plots are a popular tool for interpreting the hydrochemical response of small, forested catchments. Application of the method involves assuming an underlying conceptual model of runoff processes and comparing observed c-Q looping patterns with those predicted by the model. We analyzed and interpreted c-Q plots of acid-neutralizing capacity (ANC) for 133 storms collected over a 7-year period from three catchments in Shenandoah National Park, Virginia. Because of their underlying lithologies the catchments represent a gradient in both hydrologic and geochemical behavior, ranging from a flashy, acidic, poorly buffered catchment to a moderate, neutral, well-buffered catchment. The relative frequency of observed anticlockwise c-Q loops in each catchment decreased along this gradient. Discriminant function analysis indicated that prestorm base flow ANC was an important predictor of loop rotation direction; however, the strength of the predictive relationship decreased along the same gradient. The trends were consistent with several equally plausible three-component mixing models. Uncertainty regarding end-member timing and relative volume and possible time variation in end-member concentrations were key factors precluding identification of a unique model. The inconclusive results obtained on this large data set suggest that identification of underlying runoff mechanisms on the basis of a small number of c-Q plots without additional supporting evidence is likely to be misleading.
机译:间歇性浓度-流量(c-Q)图是解释小型森林集水区水化学响应的流行工具。该方法的应用涉及假设径流过程的基础概念模型,并将观察到的c-Q循环模式与模型预测的模式进行比较。我们分析并解释了在7年内从弗吉尼亚州谢南多厄国家公园的三个集水区收集到的133次风暴的酸中和能力(ANC)的c-Q图。由于其潜在的岩性,该流域在水文和地球化学行为方面均表现出梯度,范围从浮华,酸性,缓冲不良的流域到中等,中性,缓冲良好的流域。每个流域中观察到的逆时针c-Q循环的相对频率沿该梯度下降。判别函数分析表明,暴风前基流ANC是回路旋转方向的重要预测指标。但是,预测关系的强度沿相同的梯度下降。这种趋势与几个同样合理的三组分混合模型一致。有关末端成员时间和相对体积的不确定性以及末端成员浓度可能的时间变化是导致无法确定唯一模型的关键因素。在如此庞大的数据集上获得的不确定性结果表明,基于少量c-Q图而没有其他支持证据的潜在径流机制的识别可能会产生误导。

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