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印度半岛河流洪水的空间同步现象,其范围超出了流域边界。

Spatial synchronization of river floods growing beyond the basin boundaries in Peninsular India.

作者信息

Kumar Kanneganti Bhargav, Sharma Shailza, Das Bhowmik Rajarshi, Mujumdar P P

机构信息

Department of Civil Engineering, Indian Institute of Science, Bangalore, India.

Interdisciplinary Centre for Water Research (ICWaR), Indian Institute of Science, Bangalore, India.

出版信息

Sci Rep. 2025 May 25;15(1):18160. doi: 10.1038/s41598-025-02922-y.

Abstract

Floods often affect large areas and cause serious societal consequences. Despite their importance to society, the simultaneous occurrence of floods in multiple catchments is poorly understood in Peninsular India. This study aims to map regional variations in the spatial synchronization of river floods, assess changes in regional flood magnitudes, and identify regions with similar flood behaviour. The results indicate that regional flood trends exhibit a significant decline in flood magnitudes. However, the spatial dependence of floods varies regionally and has been increasing in recent times, often extending beyond the individual river basin boundaries. Five flood similarity clusters where the catchments within a cluster are likely to experience floods in closer time intervals are identified using the combination of F-madogram and Partitioning Around Medoids (PAM) clustering algorithm. Clustering results provide a basis for defining regional hydrological modeling boundaries. The synchrony of inter-basin flooding is often overlooked as the risks are measured at individual basins. The results of the study highlight strong connections of floods across space beyond the individual river basin boundaries in Peninsular India. We conclude that the regional and temporal variations in spatial flood dependencies must be considered for accurate regional flood hazard risk assessment.

摘要

洪水常常影响大片地区并造成严重的社会后果。尽管洪水对社会很重要,但印度半岛多个流域同时发生洪水的情况却鲜为人知。本研究旨在绘制河流洪水空间同步性的区域变化图,评估区域洪水规模的变化,并识别具有相似洪水行为的区域。结果表明,区域洪水趋势显示洪水规模显著下降。然而,洪水的空间依赖性存在区域差异,且近年来一直在增加,常常超出单个流域边界。利用F-马氏距离图和围绕中心点划分(PAM)聚类算法相结合的方法,识别出五个洪水相似性聚类,其中一个聚类内的流域可能在更接近的时间间隔内遭遇洪水。聚类结果为定义区域水文模型边界提供了依据。由于在单个流域测量风险,流域间洪水的同步性常常被忽视。研究结果凸显了印度半岛单个流域边界以外地区洪水在空间上的紧密联系。我们得出结论,为了准确进行区域洪水灾害风险评估,必须考虑空间洪水依赖性的区域和时间变化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/620d/12104415/b614ea3661eb/41598_2025_2922_Fig1_HTML.jpg

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