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首页> 外文期刊>Hydrology and Earth System Sciences >Frequency and magnitude variability of Yalu River flooding: numerical analyses for the last 1000?years
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Frequency and magnitude variability of Yalu River flooding: numerical analyses for the last 1000?years

机译:亚鲁河洪水的频率和幅度变异:最后1000岁的数值分析?年

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摘要

Accurate determination of past flooding characteristics is necessary to effectively predict the future flood disaster risk and dominant controls. However, understanding the effects of environmental forcing on past flooding frequency and magnitude is difficult owing to the deficiency of observations (data available for less than 10 % of the world's rivers) and extremely short measurement time series (100?years). In this study, a numerical model, HYDROTREND, which generates synthetic time series of daily water discharge at a river outlet, was applied to the Yalu River to (1)?reconstruct annual peak discharges over the past 1000?years and estimate flood annual exceedance probabilities and (2)?identify and quantify the impacts of climate change and human activity (runoff yield induced by deforestation and dam retention) on the flooding frequency and magnitude. Climate data obtained from meteorological stations and ECHO-G climate model output, morphological characteristics (hypsometry, drainage area, river length, slope, and lapse rate), and hydrological properties (groundwater properties, canopy interception effects, cascade reservoir retention effect, and saturated hydraulic conductivity) form significant reliable model inputs. Monitored for decades, some proxies on ancient floods allow for accurate calibration and validation of numerical modeling. Simulations match well the present-day monitored data?(1958–2012) and the literature records of historical flood events?(1000–1958). They indicate that flood frequencies of the Yalu River increased during?1000–1940, followed by a decrease until the present day. Frequency trends were strongly modulated by climate variability, particularly by the intensity and frequency of rainfall events. The magnitudes of larger floods, events with a return period of 50?to 100?years, increased by 19.1 % and 13.9 %, respectively, due to climate variability over the last millennium. Anthropogenic processes were found to either enhance or reduce flooding, depending on the type of human activities. Deforestation increased the magnitude of larger floods (100- and 50-year floods) by 19.2 %–20.3 %, but the construction of cascade reservoirs in 1940 significantly reduced their magnitude by 36.7 % to 41.7 %. We conclude that under intensified climate change and human activities in the future, effective river engineering should be considered, particularly for small- and medium-sized mountainous river systems, which are at a higher risk of flood disasters owing to their relatively poor hydrological regulation capacity.
机译:准确确定过去洪水特征是有效预测未来洪水灾害风险和主导控制的必要条件。然而,由于观察不足(占世界河流的少于10%的数据)和极短的测量时间序列(<100?年),了解对过去洪水频率和幅度的环境强制对过去的洪水频率和幅度的影响很困难。在这项研究中,将亚鲁河施加到河口的数值模型,在河道出口产生了每日排水量序列的数值水平,以(1)?在过去1000年中重建年高峰排放量,估计洪水年度概率和(2)?识别和量化气候变化和人类活动的影响(森林砍伐和坝潴留引起的径流产量)对洪水频率和幅度。气象数据和回声-G气候模型输出,形态特征(低沉,排水区,河流长,坡度,流逝率),以及水文特性(地下水性质,冠层截取效果,级联储层保留效果,饱和液压导电性)形成显着的可靠模型输入。经过数十年来监测,一些关于古洪水的代理可以准确校准和验证数值模拟。模拟符合当今监控数据?(1958-2012)和历史洪水事件的文献记录?(1000-1958)。他们表明,亚伦河的洪水频率在1000-1940期间增加,然后减少直到现在。气候变异性强烈调制频率趋势,特别是通过降雨事件的强度和频率。洪水大幅度,返回期50岁的事件(50岁)分别增加了19.1%和13.9%,由于最后一千年的气候变化,分别增加了19.1%和13.9%。根据人类活动的类型,发现人类学过程增强或减少洪水。森林砍伐较大的洪水(100-50洪水)的程度增加了19.2%-20.3%,但1940年的级联水库建设明显降低了36.7%至41.7%。我们得出结论,在加强气候变化和未来的人类活动下,应考虑有效的河流工程,特别是对于中小型山区河流系统,由于其水文调控能力较差的洪水灾害风险较高。

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