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Exploring multidecadal changes in climate and reservoir storage for assessing nonstationarity in flood peaks and risks worldwide by an integrated frequency analysis approach

机译:综合频率分析方法探索气候及储层储存中的多个内部变化及洪水峰值和洪水峰值和风险风险的储存

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The changing climate and reservoir storage have a far-reaching influence on the nonstationarity in flood peaks worldwide, but the quantification of the relative contribution of each covariate (i.e., climate and reservoir storage) is fundamentally challenging especially under the time-varying mechanisms in statistical properties. This study proposed an integrated flood frequency analysis for assessing the impacts of changing climate and reservoir storage on the nonstationarity in flood peaks and flood risks worldwide. The 32 major river catchments covering more than 60% of hydro-meteorological observation stations and 70% of reservoir storage worldwide constituted the case study. The proposed three-faceted approach was explored systematically through: modeling the nonstationarity in global flood peaks, identifying the contribution of changing climate and reservoir storage to the nonstationarity of flood peaks, and quantifying the change in flood risks under the nonstationary condition. The findings pointed out that global flood trends varied from increasing + 19.3%/decade to decreasing -31.6%/decade. Taking the stationary flood frequency analysis as the benchmark, the comparative results revealed that the flood risk in 5 rivers under the nonstationary condition in response to warming climate significantly increased (1% - 5%) over the historical period whereas the flood risk in 7 rivers in response to increasing reservoir storage largely reduced (1% 0.5%). Despite the spatiotemporal heterogeneity of observations, the changes in flood peaks evaluated here were explicitly in lined with the changing climate and reservoir storage, supporting the demand for considering the nonstationarity of flood peaks and risks in social infrastructure planning and designing as well as water management. (C) 2020 Elsevier Ltd. All rights reserved.
机译:不断变化的气候和水库存储对全球洪水峰的非间平性影响深远影响,但各协变量(即气候和储层存储)的相对贡献的量化从根本上挑战,特别是在统计中的时变制下特性。本研究提出了一种综合洪水频率分析,用于评估气候和水库存储对全球洪水峰和洪水风险的非间抗性的影响。 32个主要的河流集水区覆盖超过60%的水流性观察站和全球70%的水库存储构成了案例研究。拟议的三方面的方法是系统地探讨的:在全球洪峰中建模非间抗性,确定改变气候和水库存储对洪水峰的非间抗性的贡献,并在非持平情况下量化洪水风险的变化。调查结果指出,全球洪水趋势因增加+ 19.3%/十年而变化 - 减少-31.6%/十年。采取静止洪水频率分析作为基准,比较结果表明,在历史时期,洪水温暖气候下的5个河流下的洪水风险在历史时期显着增加(1% - > 5%),而7河流响应储层储存的增加大大降低(1%> 0.5%)。尽管观察的时空异质性,但这里评估的洪水峰的变化明确地衬有不断变化的气候和水库存储,支持考虑洪水峰值和风险在社会基础设施规划和设计中的风险以及水管理的需求。 (c)2020 elestvier有限公司保留所有权利。

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