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Identification of flood producing atmospheric circulation patterns

机译:识别洪水产生的大气环流模式

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Floods in mesoscale catchments (with a size of a few hundreds to a few thousand square kilometers) are often related to typical large scale weather phenomena which affect a large area in continental scale. The purpose of this paper is to develop a methodology for the identification of flood producing daily atmospheric circulation patterns (CPs) from large-scale pressure maps. The CPs are described by fuzzy rules which indicate the locations of the pressure centers-lows and highs. The flood producing circulation patterns are identified using the positive increments of the observed discharge series. The rules are assessed using a discrete optimization procedure based on simulated annealing. The goal of the optimization is to find Us corresponding to high discharge increments. The methodology is applied in two catchments: the Ardeche in France and the Llobregat in Spain. In both cases typical flood producing CPs could be identified. The occurrence of these Us does not necessarily lead to floods, but most important floods were related to them. (c) 2005 Elsevier B.V. All rights reserved.
机译:中尺度集水区(几百到几千平方公里的洪水)通常与典型的大规模天气现象有关,这些现象影响了大范围的大陆规模。本文的目的是开发一种用于从大型压力图识别洪水的每日大气环流模式(CP)的方法。 CP由模糊规则描述,这些规则指示压力中心的位置-低压和高压。使用观测到的排放序列的正增量来识别产生洪水的循环模式。使用基于模拟退火的离散优化程序评估规则。优化的目标是找到与高放电增量相对应的Us。该方法适用于两个流域:法国的Ardeche和西班牙的Llobregat。在这两种情况下,都可以确定典型的洪灾生产CP。这些美国的发生并不一定导致洪灾,但最重要的洪灾与洪水有关。 (c)2005 Elsevier B.V.保留所有权利。

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