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Simulated hydrologic response to projected changes in precipitation and temperature in the Congo River basin

机译:刚果河流域对降水和温度预计变化的模拟水文响应

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摘要

Despite their global significance, the impacts of climate change on water resources and associated ecosystem services in the Congo River basin?(CRB) have been understudied. Of particular need for decision makers is the availability of spatial and temporal variability of runoff projections. Here, with the aid of a spatially explicit hydrological model forced with precipitation and temperature projections from 25?global climate models?(GCMs) under two greenhouse gas emission scenarios, we explore the variability in modeled runoff in the near future?(2016–2035) and mid-century?(2046–2065). We find that total runoff from the CRB is projected to increase by 5?% [?9?%; 20?%] (mean – min and max – across model ensembles) over the next two decades and by 7?% [?12?%; 24?%] by mid-century. Projected changes in runoff from subwatersheds distributed within the CRB vary in magnitude and sign. Over the equatorial region and in parts of northern and southwestern CRB, most models project an overall increase in precipitation and, subsequently, runoff. A simulated decrease in precipitation leads to a decline in runoff from headwater regions located in the northeastern and southeastern CRB. Climate model selection plays an important role in future projections for both magnitude and direction of change. The multimodel ensemble approach reveals that precipitation and runoff changes under business-as-usual and avoided greenhouse gas emission scenarios (RCP8.5 vs.?RCP4.5) are relatively similar in the near term but deviate in the midterm, which underscores the need for rapid action on climate change adaptation. Our assessment demonstrates the need to include uncertainties in climate model and emission scenario selection during decision-making processes related to climate change mitigation and adaptation.
机译:尽管具有全球意义,但对刚果河流域(CRB)的气候变化对水资源和相关生态系统服务的影响的研究尚未深入。决策者特别需要径流预测的时空可变性。在这里,借助在两个温室气体排放情景下来自25个“全球气候模型”(GCM)的降水和温度预测强推的空间显性水文模型,我们探索了不久的将来模拟径流的变化性(2016-2035年) )和本世纪中叶?(2046年至2065年)。我们发现,来自CRB的总径流预计将增加5%[?9%];在接下来的二十年中,将在整个模型集合中平均产生20%的百分比(平均-最小和最大),并增加7%[12%];到本世纪中叶为止[24%]。 CRB中分布的小流域的径流预计变化在大小和符号上都不同。在赤道地区以及北部和西南部CRB的部分地区,大多数模型都预测降水和随后的径流总体增加。模拟的降水减少导致位于CRB东北和东南部的源头地区的径流减少。气候模型的选择在未来的变化幅度和变化方向预测中都起着重要作用。多模型集成方法显示,在常规情况下和避免的温室气体排放情景下(RCP8.5 vs.RCP4.5),降水和径流变化在短期内相对相似,但在中期有所偏离,这突出了需求在适应气候变化方面迅速采取行动。我们的评估表明,在与减缓和适应气候变化有关的决策过程中,必须将气候模型和排放情景选择中的不确定因素包括在内。

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