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首页> 外文期刊>Hydrology and Earth System Sciences >Benefits from high-density rain gauge observations for hydrological response analysis in a small alpine catchment
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Benefits from high-density rain gauge observations for hydrological response analysis in a small alpine catchment

机译:来自高密度雨量测量的益处,用于小型高山集水区的水文反应分析

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Spatial rainfall patterns exert a key control on the catchment-scale hydrologic response. Despite recent advances in radar-based rainfall sensing, rainfall observation remains a challenge, particularly in mountain environments. This paper analyzes the importance of high-density rainfall observations for a 13.4?km 2 catchment located in the Swiss Alps, where rainfall events were monitored during 3 summer months using a network of 12 low-cost, drop-counting rain gauges. We developed a data-based analysis framework to assess the importance of high-density rainfall observations to help predict the hydrological response. The framework involves the definition of spatial rainfall distribution metrics based on hydrological and geomorphological considerations and a regression analysis of how these metrics explain the hydrologic response in terms of runoff coefficient and lag time. The gained insights on dominant predictors are then used to investigate the optimal rain gauge network density for predicting the streamflow response metrics, including an extensive test of the effect of down-sampled rain gauge networks and an event-based rainfall–runoff model to evaluate the resulting optimal rain gauge network configuration. The analysis unravels that, besides rainfall amount and intensity, the rainfall distance from the outlet along the stream network is a key spatial rainfall metric. This result calls for more detailed observations of stream network expansions and the parameterization of along-stream processes in rainfall–runoff models. In addition, despite the small spatial scale of this case study, the results show that an accurate representation of the rainfall field (with at least three rain gauges) is of prime importance for capturing the key characteristics of the hydrologic response in terms of generated runoff volumes and delay for the studied catchment (0.22?rain gauges per square kilometer). The potential of the developed rainfall monitoring and analysis framework for rainfall–runoff analysis in small catchments remains to be fully unraveled in future studies, potentially also including urban catchments.
机译:空间降雨量模式对集水区的水文反应进行了关键控制。尽管最近雷达的降雨感应进展,但降雨观察仍然是挑战,特别是在山区环境中。本文分析了位于瑞士阿尔卑斯山的13.4 Km 2集水区的高密度降雨观测的重要性,其中使用12个低成本,跌落计数雨量仪3夏季监测降雨事件。我们开发了基于数据的分析框架,以评估高密度降雨观察的重要性,以帮助预测水文反应。该框架涉及基于水文和地貌考虑的空间降雨分布度量的定义和这些指标如何在径流系数和滞后时间解释水文响应的回归分析。然后使用对主导预测器的获得洞察来研究最佳的雨量仪表网络密度,以预测流流响应度量,包括对下采样的雨量计网络和基于事件的降雨 - 径流模型的广泛考验来评估导致最佳雨量仪网络配置。除了降雨量和强度之外,分析释放出来,沿着流网络的出口的降雨距离是一个关键的空间降雨度量。此结果要求对Rainfall-Runoff模型中的流网络扩展的更详细观察和沿着流流程的参数化。此外,尽管采用这种情况的空间尺度小,但结果表明,降雨场(至少三个雨量仪)的准确表示是在产生的径流方面捕获水文反应的关键特征的主要重要性学习集水区的卷和延迟(0.22?每平方公里雨量仪)。在未来的研究中,小型集水区的降雨监测和分析框架的发达的降雨监测和分析框架仍然是完全解放的,潜在的研究,可能也包括城市集水区。

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