Department of Geosciences, University of Oslo, P.O. Box 1047 Blindern, N-0316 Oslo, Norway.
Water Res. 2020 Oct 15;185:116265. doi: 10.1016/j.watres.2020.116265. Epub 2020 Aug 5.
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.
气候变化和水库蓄水对全球洪峰非平稳性有深远影响,但量化每个协变量(即气候和水库蓄水)的相对贡献具有根本挑战性,尤其是在统计特性的时变机制下。本研究提出了一种综合洪水频率分析方法,用于评估气候变化和水库蓄水对全球洪峰非平稳性和洪水风险的影响。32 个主要河流流域涵盖了全球超过 60%的水文气象观测站和 70%的水库蓄水,构成了案例研究。通过以下三个方面的系统探索,提出了三方面的方法:模拟全球洪峰的非平稳性,识别气候变化和水库蓄水对洪峰非平稳性的贡献,以及量化非平稳条件下洪水风险的变化。研究结果表明,全球洪水趋势从每十年增加 19.3%到减少 31.6%不等。以平稳洪水频率分析为基准,比较结果表明,在变暖气候下,5 条河流的非平稳条件下的洪水风险显著增加(1%→5%),而 7 条河流的洪水风险因水库蓄水增加而大幅减少(1%→0.5%)。尽管观测存在时空异质性,但这里评估的洪峰变化与气候变化和水库蓄水明确一致,支持在社会基础设施规划和设计以及水资源管理中考虑洪峰和风险的非平稳性的需求。