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DOI	10.5194/hess-22-3883-2018
	Spatial patterns and characteristics of flood seasonality in Europe
	Hall J.; Blöschl G.
发表日期	2018
ISSN	1027-5606
起始页码	3883
结束页码	3901
卷号	22 期号:7
英文摘要	In Europe, floods are typically analysed within national boundaries and it is therefore not well understood how the characteristics of local floods fit into a continental perspective. To gain a better understanding at continental scale, this study analyses seasonal flood characteristics across Europe for the period 1960-2010. From a European flood database, the timing within the year of annual maximum discharges or water levels of 4105 stations is analysed. A cluster analysis is performed to identify large-scale regions with distinct flood seasons based on the monthly relative frequencies of the annual maxima. The clusters are further analysed to determine the temporal flood characteristics within each region and the Europe-wide patterns of bimodal and unimodal flood seasonality distributions. The mean annual timing of floods observed at individual stations across Europe is spatially well defined. Below 60° latitude, the mean timing transitions from winter floods in the west to spring floods in the east. Summer floods occurring in mountainous areas interrupt this west-to-east transition. Above 60° latitude, spring floods are dominant, except for coastal areas in which autumn and winter floods tend to occur. The temporal concentration of flood occurrences around the annual mean timing is highest in north-eastern Europe, with most of the floods being concentrated within 1-2 months. The cluster analysis results in six spatially consistent regions with distinct flood seasonality characteristics. The regions with winter floods in western, central, and southern Europe are assigned to Cluster 1 ( ∼ 36% of the stations) and Cluster 4 ( ∼ 10%) with the mean flood timing within the cluster in late January and early December respectively. In eastern Europe (Cluster 3, ∼ 24%), the cluster average flood occurs around the end of March. The mean flood timing in northern (Cluster 5, ∼ 8%) and north-eastern Europe (Cluster 6, ∼ 5%) is approximately in mid-May and mid-April respectively. About 15% of the stations (Cluster 2) are located in mountainous areas, with a mean flood timing around the end of June. Most of the stations ( ∼ 73%) with more than 30 years of data exhibit a unimodal flood seasonality distribution (one or more consecutive months with high flood occurrence). Only a few stations ( ∼ 3%), mainly located on the foothills of mountainous areas, have a clear bimodal flood seasonality distribution. This study suggests that, as a result of the consistent Europe-wide pattern of flood timing obtained, the geographical location of a station in Europe can give an indication of its seasonal flood characteristics and that geographical location seems to be more relevant than catchment area or catchment outlet elevation in shaping flood seasonality. © 2018 Author(s).
语种	英语
scopus关键词	Catchments; Cluster analysis; Rain; Runoff; Water levels; Continental scale; Flood characteristics; Flood seasonality; Geographical locations; Mountainous area; Relative frequencies; Spatial patterns; Temporal concentrations; Floods; catchment; cluster analysis; discharge; flood frequency; flooding; frequency analysis; mountain region; seasonality; spatiotemporal analysis; water level; Europe
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/159970
作者单位	Hall, J., Institute of Hydraulic Engineering and Water Resources Management, Technische Universität Wien, Vienna, Austria; Blöschl, G., Institute of Hydraulic Engineering and Water Resources Management, Technische Universität Wien, Vienna, Austria
推荐引用方式 GB/T 7714	Hall J.,Blöschl G.. Spatial patterns and characteristics of flood seasonality in Europe[J],2018,22(7).
APA	Hall J.,&Blöschl G..(2018).Spatial patterns and characteristics of flood seasonality in Europe.Hydrology and Earth System Sciences,22(7).
MLA	Hall J.,et al."Spatial patterns and characteristics of flood seasonality in Europe".Hydrology and Earth System Sciences 22.7(2018).