Author(s): Jing Huang; Yehongping Qin; Chao Tan; Bikui Zhao; Zejun Li; Jiqing Li; Xiaohong Chen; Ningning Li

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Keywords: Inflow flood identification; Representative hydrograph; Design flood; Improved peak-over threshold (IPOT); Inconsistency time series

Abstract: Inflow floods serve as a prerequisite for reservoir operation and water resources allocation in a watershed. To address the persistent issue of manually selecting typical years, an inflow flood identification model was established based on the Kolmogorov-Smirnov test, an improved peak-over-threshold method, and a Poisson model with time-varying parameters. Its aim is to transform inconsistency measured data into independent and identically distributed samples, while autonomously identifying and calculate representative hydrograph of inflow flood. The Jinxia Reservoir Group (JRG), which consist of Wudongde, Baihetan, Xiangjiaba, and Xiluodu reservoirs in the lower Jinsha River, are used as a case study. The results show that the inflow flood time series of JRG has two consistency change points, namely 1998 and 2002. There are 6 representative hydrographs in the flood peak time series, with a predominantly belongs to short-fat and multi-peak types. The maximum storage capacity difference for inflow floods with the same design frequency (P = 1%) but different hydrographs is 5.783 billion m3, accounting for 37.33% of the total flood control storage of JRG. Accurately identifying the representative hydrograph of inflow floods contribute to optimize the allocation of water resources and storage capacity in a watershed, and is crucial for enhancing the resilience of watersheds against flood and drought disasters in changing environments.

DOI: https://doi.org/10.64697/978-90-835589-7-4_41WC-P2090-cd

Year: 2025