Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2020WR028076 |
Assessment of peak flow scaling and its effect on flood quantile estimation in the United Kingdom. | |
Giuseppe Formetta; Thomas Over; Elizabeth Stewart | |
2021-03-07 | |
发表期刊 | Water Resources Research |
出版年 | 2021 |
英文摘要 | Regional flood‐frequency analysis (RFFA) methods are essential tools to assess flood hazard and plan interventions for its mitigation. They are used to estimate flood quantiles when the at‐site record of streamflow data is not available or limited. One commonly used RFFA method is the index‐flood method (IFM), which assumes that peak floods satisfy the simple scaling hypothesis. In this work we present an integrated approach to assess the spatial scaling behaviour of floods in the United Kingdom (UK) for 540 catchments, where the IFM is currently used operationally. This assessment employs product moments, probability weighted moments, and quantile analysis, and is applied to two different types of “hydrologically homogeneous” UK regions: geographical regions as defined in the Flood Studies Report (NERC, 1975) and pooling‐groups as defined in the updated Flood Estimation Handbook (FEH; Institute of Hydrology, 1999). To understand which variables play a significant role in the flood‐peak generating mechanism, the assessment approach considers scaling not only of drainage area alone but also of other hydro‐geomorphological variables. Results provided by the different methodologies consistently showed that only part (ranging from 30 to 70%) of the peak flow variability is explained by drainage area alone; this fraction increases (up to 80 ‐ 95%) when multiple regression is used. Supported by the peak flow spatial scaling assessment, we compared the proposed approach for peak flow quantile estimation with the current FEH method in ungauged catchments. The quantile regression method based on the pooling‐group outperforms the current FEH‐ungauged method, providing a 14% relative improvement in root mean square error (RMSE) over the entire country. This article is protected by copyright. All rights reserved. |
领域 | 资源环境 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/318642 |
专题 | 资源环境科学 |
推荐引用方式 GB/T 7714 | Giuseppe Formetta,Thomas Over,Elizabeth Stewart. Assessment of peak flow scaling and its effect on flood quantile estimation in the United Kingdom.[J]. Water Resources Research,2021. |
APA | Giuseppe Formetta,Thomas Over,&Elizabeth Stewart.(2021).Assessment of peak flow scaling and its effect on flood quantile estimation in the United Kingdom..Water Resources Research. |
MLA | Giuseppe Formetta,et al."Assessment of peak flow scaling and its effect on flood quantile estimation in the United Kingdom.".Water Resources Research (2021). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论