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Hydrological projections of future climate change over the source region of Yellow River and Yangtze River in the Tibetan Plateau: A comprehensive assessment by coupling RegCM4 and VIC model

机译:青藏高原黄河源区和长江源区未来气候变化的水文预测:RegCM4和VIC模型的综合评估

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摘要

Understanding climate change impacts on hydrological regime and assessing future water supplies are essential to effective water resources management and planning, which is particularly true for the Tibetan Plateau (TP), one of the most vulnerable areas to climate change. In this study, future climate change in the TP was projected for 2041-2060 by a high-resolution regional climate model, RegCM4, under 3 representative concentration pathways (RCPs): 2.6, 4.5, and 8.5. Response of all key hydrological elements, that is, evapotranspiration, surface run-off, baseflow, and snowmelt, to future climate in 2 typical catchments, the source regions of Yellow and Yangtze rivers, was further investigated by the variable infiltration capacity microscale hydrological model incorporated with a 2-layer energy balance snow model and a frozen soil/permafrost algorithm at a 0.25 degrees x0.25 degrees spatial scale. The results reveal that (a) spatial patterns of precipitation and temperature from RegCM4 agree fairly well with the data from China Meteorological Forcing Dataset, indicating that RegCM4 well reproduces historical climatic information and thus is reliable to support future projection; (b) precipitation increase by 0-70% and temperature rise by 1-4 degrees C would occur in the TP under 3 RCPs. A clear south-eastern-north-western spatial increasing gradient in precipitation would be seen. Besides, under RCP8.5, the peak increase in temperature would approach to 4 degrees C in spring and autumn in the east of the TP; (c) evapotranspiration would increase by 10-60% in 2 source regions due to the temperature rise, surface run-off and baseflow in higher elevation region would experience larger increase dominantly due to the precipitation increase, and streamflow would display general increases by more than 3% and 5% in the source regions of Yellow and Yangtze rivers, respectively; (d) snowmelt contributes 11.1% and 16.2% to total run-off in the source regions of Yellow and Yangtze rivers, respectively, during the baseline period. In the source region of Yangtze River, snowmelt run-off would become more important with increase of 17.5% and 18.3%, respectively, under RCP2.6 and RCP4.5 but decrease of 15.0% under RCP8.5.
机译:了解气候变化对水文状况的影响并评估未来的水供应对于有效的水资源管理和规划至关重要,这对于最容易受到气候变化影响的地区之一的青藏高原尤其如此。在这项研究中,根据高分辨率的区域气候模型RegCM4,在2.6、4.5和8.5三个代表性浓度路径(RCP)下,预测了TP的未来气候变化在2041-2060。通过可变的入渗能力微型水文模型,进一步研究了两个关键流域(黄河和长江源区)的所有关键水文要素,即蒸散,地表径流,基流和融雪对未来气候的响应。在0.25度x0.25度的空间尺度上结合了2层能量平衡雪模型和冻土/多年冻土算法。结果表明:(a)RegCM4的降水和温度的空间格局与中国气象强迫数据集的数据非常吻合,表明RegCM4很好地再现了历史气候信息,因此可以可靠地支持未来的预测; (b)在3个RCP下,TP中的降水量将增加0-70%,温度升高1-4摄氏度。可以看到明显的东南-西北-西北空间增加梯度。此外,在RCP8.5下,TP东部春季和秋季的温度最高峰值将达到4摄氏度。 (c)由于温度上升,两个源区的蒸发蒸腾量将增加10-60%,较高海拔地区的地表径流和基流将主要由于降水增加而经历较大的增加,而流量将显示出更大的总体增加黄河和长江源区分别占3%和5%; (d)在基准期内,融雪分别占黄河源区和长江源区总径流量的11.1%和16.2%。在长江源地区,融雪径流将变得更为重要,在RCP2.6和RCP4.5下,融雪径流分别增加17.5%和18.3%,而在RCP8.5下则减少15.0%。

著录项

  • 来源
    《Hydrological Processes》 |2018年第13期|2096-2117|共22页
  • 作者单位

    Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210098, Jiangsu, Peoples R China;

    Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210098, Jiangsu, Peoples R China;

    CSIRO Math Informat & Stat, Private Bag 5, Wembley, WA 6913, Australia;

    Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210098, Jiangsu, Peoples R China;

    Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210098, Jiangsu, Peoples R China;

    Hohai Univ, Sch Earth Sci & Engn, Nanjing 210098, Jiangsu, Peoples R China;

    Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210098, Jiangsu, Peoples R China;

    Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210098, Jiangsu, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    climate change; hydrological projections; regional climate model; Tibetan Plateau; VIC model;

    机译:气候变化;水文预测;区域气候模型;西藏高原;VIC模型;

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