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Predictability of low flow - An assessment with simulation experiments

机译:低流量的可预测性-仿真实验评估

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Since the extreme summer of 2003 the importance of early drought warning has become increasingly recognized even in water-rich countries such as Switzerland. Spring 2011 illustrated drought conditions in Switzerland again, which are expected to become more frequent in the future. Two fundamental questions related to drought early warning are: (I) How long before a hydrological drought occurs can it be predicted? (2) How long are initial conditions important for streamflow simulations? To address these questions, we assessed the relative importance of the current hydrological state and weather during the prediction period. Ensemble streamflow prediction (ESP) and reverse ESP (ESPrev) experiments were performed with the conceptual catchment model, HBV, for 21 Swiss catchments. The relative importance of the initial hydrological state and weather during the prediction period was evaluated by comparing the simulations of both experiments to a common reference simulation. To further distinguish between effects of weather and catchment properties, a catchment relaxation time was calculated using temporally constant average meteorological input. The relative importance of the initial conditions varied with the start of the simulation. The maximum detectable influences of initial conditions ranged from 50 days to at least a year. Drier initial conditions of soil moisture and groundwater as well as more initial snow resulted in longer influences of initial conditions. The catchment relaxation varied seasonally for higher elevation catchments, but remained constant for lower catchments, which indicates the importance of snow for streamflow predictability. Longer persistence seemed to also stem from larger groundwater storages in mountainous catchments, which may motivate a reconsideration of the sensitivity of these catchments to low flows in a changing climate. (C) 2014 Elsevier B.V. All rights reserved.
机译:自2003年极端夏季以来,即使在水资源丰富的国家(例如瑞士),早期干旱预警的重要性也日益得到重视。 2011年春季,瑞士再次出现干旱,预计将来还会更加频繁。与干旱预警有关的两个基本问题是:(I)可以预测出多长时间发生水文干旱? (2)初始条件对流量模拟重要吗?为了解决这些问题,我们评估了预测期内当前水文状况和天气的相对重要性。使用概念性集水区模型HBV对21个瑞士集水区进行了集成流预测(ESP)和反向ESP(ESPrev)实验。通过将两个实验的模拟结果与普通参考模拟结果进行比较,评估了预测期内初始水文状态和天气的相对重要性。为了进一步区分天气和集水区特性的影响,使用时间上恒定的平均气象输入来计算集水区松弛时间。初始条件的相对重要性随模拟的开始而变化。初始条件的最大可检测影响范围为50天到至少一年。土壤水分和地下水的初始条件较干燥,以及更多的初始降雪导致更长的初始条件影响。对于海拔较高的流域,流域弛豫随季节而变化,而对于较低的流域,流域弛豫保持不变,这表明积雪对于流量可预测性的重要性。更长的持久性似乎也来自山区集水区较大的地下水储存量,这可能促使人们重新考虑这些集水区在气候变化的情况下对低流量的敏感性。 (C)2014 Elsevier B.V.保留所有权利。

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