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首页> 外文期刊>Journal of Hydrology >Evolution of the hydro-climate system in the Lake Baikal basin
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Evolution of the hydro-climate system in the Lake Baikal basin

机译:贝加尔湖盆地水气候系统的演变

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摘要

Climatic changes can profoundly alter hydrological conditions in river basins. Lake Baikal is the deepest and largest freshwater reservoir on Earth, and has a unique ecosystem with numerous endemic animal and plant species. We here identify long-term historical (1938-2009) and projected future hydro-climatic trends in the Selenga River Basin, which is the largest sub-basin (>60% inflow) of Lake Baikal. Our analysis is based on long-term river monitoring and historical hydro-climatic observation data, as well as ensemble mean and 22 individual model results of the Coupled Model Intercomparison Project, Phase 5 (CMIP5). Study of the latter considers a historical period (from 1961) and projections for 2010-2039 and 2070-2099. Observations show almost twice as fast warming as the global average during the period 1938-2009. Decreased intra-annual variability of river discharge over this period indicates basin-scale permafrost degradation. CMIP5 ensemble projections show further future warming, implying continued permafrost thaw. Modelling of runoff change, however, is highly uncertain, with many models (64%) and their ensemble mean failing to reproduce historical behaviour, and with indicated future increase being small relative to the large differences among individual model results. (C) 2014 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).
机译:气候变化可以深刻改变流域的水文条件。贝加尔湖是地球上最深,最大的淡水水库,拥有独特的生态系统,其中有许多特有的动植物物种。我们在这里确定了塞伦加河流域的长期历史(1938-2009年)和未来的水文气候趋势,塞伦加河流域是贝加尔湖最大的次流域(入水率> 60%)。我们的分析基于长期河流监测和历史水文气候观测数据,以及耦合模型比较项目第5阶段(CMIP5)的总体平均值和22个单独模型结果。对后者的研究考虑了一个历史时期(1961年以来)以及对2010-2039年和2070-2099年的预测。观测显示,在1938-2009年期间,快速变暖几乎是全球平均水平的两倍。在此期间,河流流量的年内变化性降低表明流域规模的多年冻土退化。 CMIP5总体预报显示未来还会进一步变暖,这意味着永久冻土层将继续融化。但是,径流变化的模型是高度不确定的,有许多模型(64%)及其整体均值无法重现历史行为,并且指示的未来增长相对于各个模型结果之间的较大差异而言很小。 (C)2014作者。由Elsevier B.V.发布。这是CC BY-NC-ND许可(http://creativecommons.org/licenses/by-nc-nd/3.0/)下的开放获取文章。

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