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Contrasting climate change impact on river flows from high-altitude catchments in the Himalayan and Andes Mountains

机译:气候变化对喜玛拉雅山和安第斯山脉高海拔集水区河流流量的影响

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摘要

Mountain ranges are the world’s natural water towers and provide water resources for millions of people. However, their hydrological balance and possible future changes in river flow remain poorly understood because of high meteorological variability, physical inaccessibility, and the complex interplay between climate, cryosphere, and hydrological processes. Here, we use a state-of-the art glacio-hydrological model informed by data from high-altitude observations and the latest climate change scenarios to quantify the climate change impact on water resources of two contrasting catchments vulnerable to changes in the cryosphere. The two study catchments are located in the Central Andes of Chile and in the Nepalese Himalaya in close vicinity of densely populated areas. Although both sites reveal a strong decrease in glacier area, they show a remarkably different hydrological response to projected climate change. In the Juncal catchment in Chile, runoff is likely to sharply decrease in the future and the runoff seasonality is sensitive to projected climatic changes. In the Langtang catchment in Nepal, future water availability is on the rise for decades to come with limited shifts between seasons. Owing to the high spatiotemporal resolution of the simulations and process complexity included in the modeling, the response times and the mechanisms underlying the variations in glacier area and river flow can be well constrained. The projections indicate that climate change adaptation in Central Chile should focus on dealing with a reduction in water availability, whereas in Nepal preparedness for flood extremes should be the policy priority.
机译:山脉是世界上的天然水塔,为数百万人提供水资源。然而,由于高度的气象变异性,物理上的不可及性以及气候,冰冻圈和水文过程之间的复杂相互作用,人们对它们的水文平衡和未来河流流量的变化知之甚少。在这里,我们使用最先进的冰川水文模型,并从高空观测数据和最新的气候变化情景中获悉数据,以量化气候变化对两个易受冰冻圈变化影响的对比集水区对水资源的影响。这两个研究集水区位于智利中部的安第斯山脉和尼泊尔喜马拉雅山附近的人口稠密地区。尽管两个站点都显示出冰川面积大大减少,但它们对预计的气候变化的水文响应却截然不同。在智利的准卡尔河流域,径流将来可能会急剧减少,径流的季节性对预计的气候变化敏感。在尼泊尔的郎塘流域,未来的水供应在数十年来不断增加,而且季节之间的转换有限。由于模拟具有很高的时空分辨率,并且建模中包括过程复杂性,因此可以很好地限制响应时间以及冰川面积和河流流量变化的潜在机理。这些预测表明,智利中部对气候变化的适应应侧重于减少水的供应,而在尼泊尔,应对洪灾的极端状况应作为政策重点。

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