Robust statistical analysis of multivariate hydrological time series and their application in regionalization of design floods (B06)

多元水文时间序列的稳健统计分析及其在设计洪水分区中的应用（B06）

• 批准号: 241383168
• 金额: --
• 依托单位: Lehrstuhl für Ingenieurhydrologie und Wasserwirtschaft
• 依托单位国家: 德国
• 项目类别: Collaborative Research Centres
• 财政年份: 2013
• 资助国家: 德国
• 起止时间: 2012-12-31 至 2016-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/241383168?language=en
• 关键词: Robust; statistical; analysis; multivariate; hydrological

The project extends the analysis of extremes of important flood characteristics such as peak and volume. Key challenges are heteroscedastic uncertainties in hydrological time series and insufficient information about the tails of the distribution. Given these restrictions the project develops models and robust estimators for extreme quantiles and for copulas of different flood characteristics. In view of several severe storms in 2016, it also considers heavy rain events.

该项目扩展了对重要洪水特性（如峰值和流量）的极端情况的分析。主要的挑战是水文时间序列的异方差不确定性和分布尾部的信息不足。考虑到这些限制，该项目开发了极端分位数和不同洪水特性的copula的模型和稳健估计。鉴于2016年的几场严重风暴，它还考虑了暴雨事件。