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首页> 外文期刊>Journal of Hydrology >Runoff sensitivity to climate change in the Nile River Basin
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Runoff sensitivity to climate change in the Nile River Basin

机译:尼罗河流域气候变化的径流敏感性

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摘要

In data scarce basins, such as the Nile River Basin (NRB) in Africa, constraints related to data availability, quality, and access often complicate attempts to estimate runoff sensitivity using conventional methods. In this paper, we show that by integrating the concept of the aridity index (AI) (derived from the Budyko curve) and climate elasticity, we can obtain the first order response of the runoff sensitivity using minimal data input and modeling expertise or experience. The concept of runoff elasticity relies on the fact that the energy available for evapotranspiration plays a major role in determining whether the precipitation received within a drainage basin generates runoff. The approach does not account for human impacts on runoff modification and or diversions. By making use of freely available gauge-corrected satellite data for precipitation, temperature, runoff, and potential evapotranspiration, we derived the sensitivity indicator (beta) to determine the runoff response to changes in precipitation and temperature for four climatic zones in the NRB, namely, tropical, subtropical, semiarid and arid zones. The proposed sensitivity indicator can be partitioned into different elasticity components i.e: precipitation (epsilon(p)), potential evapotranspiration (epsilon(ETp)), temperature (epsilon(T)) and the total elasticity (epsilon(tot)). These elasticities allow robust quantification of the runoff response to the potential changes in precipitation and temperature with a high degree of accuracy. Results indicate that the tropical zone is energy-constrained with low sensitivity, (beta 1.0), implying that input precipitation exceeds the amounts that can be evaporated given the available energy. The subtropical zone is subdivided into two distinct regions, the lowland (Machar and Sudd marshes), and the highland area (Blue Nile Basin), where each area has a unique sensitivity. The lowland area has high sensitivity, (beta 1.0). The subtropical-highland
机译:在非洲尼罗河流域(NRB)的数据中,与数据可用性,质量和访问相关的限制,通常会使使用传统方法估算径流灵敏度的尝试。在本文中,我们表明,通过整合干旱指数(AI)的概念(来自Budyko曲线)和气候弹性,我们可以使用最小数据输入和建模专业知识或体验获得径流灵敏度的第一阶响应。径流弹性的概念依赖于可用于蒸散的能量在确定排水盆内的降水是否产生径流时起着重要作用。该方法不考虑人类对径流修改和转移的影响。通过利用可自由的规格校正的卫星数据进行沉淀,温度,径流和潜在的蒸发,我们得出了灵敏度指标(测试版),以确定对NRB中四个气候区域的降水和温度变化的径流响应,即,热带,亚热带,半干旱和干旱区域。所提出的敏感性指示剂可以分配成不同的弹性组分I.e:沉淀(ε(P)),潜在的蒸散(Epsilon(ETP)),温度(ε(T))和总弹性(ε(Tot))。这些弹性允许在高度精度的降水和温度的潜在变化的径向响应的鲁棒量化。结果表明,热带区具有低灵敏度的能量约束,(β1.0),暗示输入沉淀超过可用能量可以蒸发的量。亚热带被细分为两个不同的区域,低地(Machar和Sudd Marshes)和高地地区(蓝尼罗河盆地),每个区域具有独特的敏感性。低地地区具有高灵敏度,(Beta& 1.0)。亚热带高地

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