IWRA Proceedings

WWC 2023 Beijing - China 2023 OC Emerging Pollutants WWC 2021 South Korea 2021 OC One Water OC 2020 Groundwater Resilience WWC 2017 Mexico WWC 2015 Scotland WWC 2011 Brazil WWC 2008 France WWC 2003 Spain

< Return to abstract list

Poster P-3-5-36: Real-time unit hydrograph optimization based on K-NN and meta-heuristic algorithm

XVIII IWRA World Water Congress Beijing China 2023
Sub-theme 3: Building Resilience for Disaster Prevention and Mitigation
Author(s):
Fan Wang^{1, 2, 3}, Wenqing Lin^{1, 2}, Wuxia Bi^{1, 2}, Weiqi Wang^{1, 2}, Dawei Zhang^{1, 2}

State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Beijing, 100038, P. R. China

China Institute of Water Resources and Hydropower Research, Research Center on Flood and Drought Disaster Reduction of the Ministry of Water Resources, Beijing, 100038, P. R. China

National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing, 210098, P. R. China

Poster: PDF

Abstract

Objectives of the study

The objective of this paper is to develop a real-time unit hydrograph (UH) optimization method utilizing the K-NN in combination with meta-heuristic algorithm. The K-NN algorithm is utilized as a recommendation model, which realizes the selection of rainfall-runoff samples for UH analysis based on the real-time rainfall process, characterized as storm centroid, net rainfall intensity, and the net rainfall temporal patterns. Then the metaheuristic algorithm is used to build a calibration model to achieve the optimization calibration of instantaneous UH.