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Using paired catchments to quantify the human influence on hydrological droughts

机译:使用成对的流域量化人类对水文干旱的影响

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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 alleviated droughts with 25?% to 80?%, dependent on the metric. Benefits of the paired-catchment approach are that climate variability between pre- and post-disturbance periods does not have to be considered as the same time periods are used for analysis, and that it avoids assumptions considered when partly or fully relying on simulation modelling. Limitations of the approach are that finding a suitable catchment pair can be very challenging, often no pre-disturbance records are available to establish the natural difference between the catchments, and long time series of hydrological data are needed to robustly detect the effect of the human activities on hydrological drought. We suggest that the approach can be used for a first estimate of the human influence on hydrological drought, to steer campaigns to collect more data, and to complement and improve other existing methods (e.g.?model-based or large-sample approaches).
机译:量化人类活动(如水库建设,取水和土地利用变化)对水文学的影响,对于可持续的未来水管理(尤其是干旱期间)至关重要。基于模型的方法的建立非常耗时,并且需要对人类流程和取水,土地利用变化以及水基础设施和管理的时间序列有很好的了解,而这些通常是不可用的。因此,正在开发基于观测的方法,以基于有限的数据来指示人类对水文干旱的影响的方向和程度。我们建议在这些方法的基础上增加“成对集水法”,该方法基于1920年代开发的经典水文学方法,用于评估土地覆盖处理对水量和水质的影响。当将成对流域方法应用于长期存在的人类影响,以试图检测对干旱等极端事件的影响时,良好的流域选择至关重要。受干扰的流域需要与在所有方面都相似的流域配对,除了所研究的人类活动之外,这样就可以隔离特定活动的影响。在本文中,我们提出了一个框架,用于选择合适的成对流域来研究人类对水文干旱的影响。该框架中的基本要素是关于所研究人类活动(类型,时间和大小)的定性信息的可用性,以及流域之间气候,地质和其他人类影响的相似性。我们在两个相反的案例研究中展示了该框架的应用,其中一个案例受到地下水抽取的影响,而另一个案例则是从另一个地区调水。应用成对集水法表明,在某些指标(总干旱持续时间和总干旱赤字)下,地下水抽取如何使河流径流干旱加剧了200%以上,而水的转移缓解了25%至80%的干旱,具体取决于指标。配对集水法的好处是,不必在干扰前和干扰后时期之间考虑气候变化,因为在同一时间段进行分析,并且避免了部分或完全依赖模拟建模时要考虑的假设。该方法的局限性在于,寻找合适的流域对可能会非常具有挑战性,通常没有可提供扰动前的记录来建立流域之间的自然差异,并且需要长时间的水文数据序列才能可靠地检测人类的影响水文干旱活动。我们建议该方法可用于人类对水文干旱的初步估计,指导运动以收集更多数据,补充和改进其他现有方法(例如基于模型的方法或大样本方法)。

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