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Using paired catchments to quantify the human influence on hydrological droughts

机译:使用配对的流域来量化对水文干旱的人体影响

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Quantifying the influence of human activities, such as reservoir building, water abstraction, and land use change, on hydrology is crucial for sustainable future water management, especially during drought. Model-based methods are very time-consuming to set up and require a good understanding of human processes and time series of water abstraction, land use change, and water infrastructure and management, which often are not available. Therefore, observation-based methods are being developed that give an indication of the direction and magnitude of the human influence on hydrological drought based on limited data. We suggest adding to those methods a "paired-catchment" approach, based on the classic hydrology approach that was developed in the 1920s for assessing the impact of land cover treatment on water quantity and quality. When applying the paired-catchment approach to long-term pre-existing human influences trying to detect an influence on extreme events such as droughts, a good catchment selection is crucial. The disturbed catchment needs to be paired with a catchment that is similar in all aspects except for the human activity under study, in that way isolating the effect of that specific activity. In this paper, we present a framework for selecting suitable paired catchments for the study of the human influence on hydrological drought. Essential elements in this framework are the availability of qualitative information on the human activity under study (type, timing, and magnitude), and the similarity of climate, geology, and other human influences between the catchments. We show the application of the framework on two contrasting case studies, one impacted by groundwater abstraction and one with a water transfer from another region. Applying the paired-catchment approach showed how the groundwater abstraction aggravated streamflow drought by more than 200% for some metrics ( total drought duration and total drought deficit) and the water transfer alleviate
机译:量化水库建设,水抽象和土地利用变化等人类活动的影响,水文对可持续未来水管理至关重要,特别是在干旱期间。基于模型的方法是非常耗时的,建立并需要良好地理解人类流程和时间序列的抽水,土地利用变化和水基础设施和管理,这通常不可用。因此,正在开发出基于观察的方法,其表示基于有限数据的水文干旱对人体影响的方向和程度的指示。我们建议基于20世纪20年代开发的经典水文方法来增加“配对集水”方法,以评估土地覆盖处理对水量和质量的影响。当将配对集群接近应用于长期预先存在的人类影响,试图检测对诸如干旱等极端事件的影响,良好的集水区选择至关重要。受扰动的集水区需要与除了在研究中的人类活动之外的所有方面相似的集水区,以这种方式隔离该特定活动的效果。在本文中,我们提出了一种选择合适的配对集水区,用于研究人体对水文干旱的影响。该框架中的基本要素是关于研究(类型,​​时序和幅度)的人类活动的定性信息,以及气候,地质和其他人类之间的影响的相似性。我们展示了框架在两个对比案例研究中的应用,一个受地下水抽象的一个受影响的案例研究,一个与另一个地区的水转移。应用配对流域方法显示地下水抽取如何加重流水流量超过200%的级指标(总干旱持续时间和总干旱缺陷)和水转转移缓解

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