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首页> 外文期刊>Hydrology and Earth System Sciences >Exploring the physical controls of regional patterns of flow duration curves – Part 2: Role of seasonality, the regime curve, and associated process controls
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Exploring the physical controls of regional patterns of flow duration curves – Part 2: Role of seasonality, the regime curve, and associated process controls

机译:探索流动持续时间曲线的区域模式的物理控制第2部分:季节性,制度曲线和相关过程控制的作用

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The goal of this paper is to explore the process controlsunderpinning regional patterns of variations of streamflow regime behavior,i.e., the mean seasonal variation of streamflow within the year, across thecontinental United States. The ultimate motivation is to use the resultingprocess understanding to generate insights into the physical controls ofanother signature of streamflow variability, namely the flow duration curve(FDC). The construction of the FDC removes the time dependence of flows. Thusin order to better understand the physical controls in regions that exhibitstrong seasonal dependence, the regime curve (RC), which is closelyconnected to the FDC, is studied in this paper and later linked back to theFDC. To achieve these aims a top-down modeling approach is adopted; we startwith a simple two-stage bucket model, which is systematically enhancedthrough addition of new processes on the basis of model performanceassessment in relation to observations, using rainfall-runoff data from 197United States catchments belonging to the MOPEX dataset. Exploration ofdominant processes and the determination of required model complexity arecarried out through model-based sensitivity analyses, guided by aperformance metric. Results indicated systematic regional trends in dominantprocesses: snowmelt was a key process control in cold mountainous catchmentsin the north and north-west, whereas snowmelt and vegetation cover dynamicswere key controls in the north-east; seasonal vegetation cover dynamics(phenology and interception) were important along the Appalachian mountainrange in the east. A simple two-bucket model (with no other additions) wasfound to be adequate in warm humid catchments along the west coast and inthe south-east, with both regions exhibiting strong seasonality, whereasmuch more complex models are needed in the dry south and south-west.Agricultural catchments in the mid-west were found to be difficult topredict with the use of simple lumped models, due to the strong influence ofhuman activities. Overall, these process controls arose from generaleast-west (seasonality) and north-south (aridity, temperature) trends inclimate (with some exceptions), compounded by complex dynamics of vegetationcover and to a less extent by landscape factors (soils, geology andtopography).
机译:本文的目的是探索过程控制,这些过程控制支持整个美国大陆范围内流量变化行为的区域模式,即一年中流量的平均季节性变化。最终的动机是利用由此产生的过程理解来深入了解流量变化的另一个特征即流量持续时间曲线(FDC)的物理控制。 FDC的构造消除了流量的时间依赖性。因此,为了更好地了解季节性依赖性强的地区的物理控制,本文研究了与FDC紧密相关的制度曲线(RC),之后又将其链接到FDC。为了实现这些目标,采用了自顶向下的建模方法。我们从一个简单的两阶段铲斗模型开始,该模型通过使用与MOPEX数据集相关的197个美国集水区的降雨径流数据,在与观测相关的模型性能评估的基础上通过添加新过程来系统地增强。在性能指标的指导下,通过基于模型的敏感性分析,对主要过程进行探索并确定所需模型的复杂性。结果表明,主要过程有系统的区域趋势:融雪是北部和西北部山区山区集水区的关键过程控制,而融雪和植被覆盖动态是东北部的关键控制。东部阿巴拉契亚山脉的季节性植被覆盖动态(物候和拦截)很重要。发现简单的两斗模型(无其他模型)在西海岸和东南部温暖潮湿的流域都足够了,这两个地区都表现出强烈的季节性,而在干燥的南部和南部,则需要更复杂的模型。由于人类活动的强烈影响,发现使用简单的集总模型很难预测中西部的农业流域。总体而言,这些过程控制源于总体东西向(季节性)和南北向(干旱,温度)趋势(除某些例外)的气候变化,以及植被覆盖物复杂的动态变化,以及景观因素(土壤,地质和地形)的影响较小。

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