Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017WR021650 |
Identification of Flood Reactivity Regions via the Functional Clustering of Hydrographs | |
Brunner, Manuela I.1,2; Viviroli, Daniel1,3; Furrer, Reinhard4,5; Seibert, Jan1,6; Favre, Anne-Catherine2 | |
2018-03-01 | |
发表期刊 | WATER RESOURCES RESEARCH
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ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2018 |
卷号 | 54期号:3页码:1852-1867 |
文章类型 | Article |
语种 | 英语 |
国家 | Switzerland; France; Sweden |
英文摘要 | Flood hydrograph shapes contain valuable information on the flood-generation mechanisms of a catchment. To make good use of this information, we express flood hydrograph shapes as continuous functions using a functional data approach. We propose a clustering approach based on functional data for flood hydrograph shapes to identify a set of representative hydrograph shapes on a catchment scale and use these catchment-specific sets of representative hydrographs to establish regions of catchments with similar flood reactivity on a regional scale. We applied this approach to flood samples of 163 medium-size Swiss catchments. The results indicate that three representative hydrograph shapes sufficiently describe the hydrograph shape variability within a catchment and therefore can be used as a proxy for the flood behavior of a catchment. These catchment-specific sets of three hydrographs were used to group the catchments into three reactivity regions of similar flood behavior. These regions were not only characterized by similar hydrograph shapes and reactivity but also by event magnitudes and triggering event conditions. We envision these regions to be useful in regionalization studies, regional flood frequency analyses, and to allow for the construction of synthetic design hydrographs in ungauged catchments. The clustering approach based on functional data which establish these regions is very flexible and has the potential to be extended to other geographical regions or toward the use in climate impact studies. |
英文关键词 | clustering functional data analysis hydrograph shapes homogeneous regions regionalization |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000430364900025 |
WOS关键词 | FREQUENCY-ANALYSIS ; CLASSIFICATION ; CRISP |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
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/19953 |
专题 | 资源环境科学 |
作者单位 | 1.Univ Zurich, Dept Geog, Zurich, Switzerland; 2.Univ Grenoble Alpes, CNRS, IRD, Grenoble INP,IGE, Grenoble, France; 3.Belop Gmbh, Sarnen, Switzerland; 4.Univ Zurich, Dept Math, Zurich, Switzerland; 5.Univ Zurich, Dept Computat Sci, Zurich, Switzerland; 6.Uppsala Univ, Dept Earth Sci, Uppsala, Sweden |
推荐引用方式 GB/T 7714 | Brunner, Manuela I.,Viviroli, Daniel,Furrer, Reinhard,et al. Identification of Flood Reactivity Regions via the Functional Clustering of Hydrographs[J]. WATER RESOURCES RESEARCH,2018,54(3):1852-1867. |
APA | Brunner, Manuela I.,Viviroli, Daniel,Furrer, Reinhard,Seibert, Jan,&Favre, Anne-Catherine.(2018).Identification of Flood Reactivity Regions via the Functional Clustering of Hydrographs.WATER RESOURCES RESEARCH,54(3),1852-1867. |
MLA | Brunner, Manuela I.,et al."Identification of Flood Reactivity Regions via the Functional Clustering of Hydrographs".WATER RESOURCES RESEARCH 54.3(2018):1852-1867. |
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