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Article

Runoff Prediction Based on the Discharge of Pump Stations in an Urban Stream Using a Modified Multi-Layer Perceptron Combined with Meta-Heuristic Optimization

School of Civil Engineering, Chungbuk National University, Cheongju 28644, Korea
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Academic Editors: Jongho Kim, Kyongho Son and Seongho Ahn
Water 2022, 14(1), 99; https://doi.org/10.3390/w14010099
Received: 29 November 2021 / Revised: 18 December 2021 / Accepted: 31 December 2021 / Published: 4 January 2022
(This article belongs to the Special Issue Advances in Real-Time Flood Forecasting)
Runoff in urban streams is the most important factor influencing urban inundation. It also affects inundation in other areas as various urban streams and rivers are connected. Current runoff predictions obtained using a multi-layer perceptron (MLP) exhibit limited accuracy. In this study, the runoff of urban streams was predicted by applying an MLP using a harmony search (MLPHS) to overcome the shortcomings of MLPs using existing optimizers and compared with the observed runoff and the runoff predicted by an MLP using a real-coded genetic algorithm (RCGA). Furthermore, the results of the MLPHS were compared with the results of the MLP with existing optimizers such as the stochastic gradient descent, adaptive gradient, and root mean squared propagation. The runoff of urban steams was predicted based on the discharge of each pump station and rainfall information. The results obtained with the MLPHS exhibited the smallest error of 39.804 m3/s when compared to the peak value of the observed runoff. The MLPHS gave more accurate runoff prediction results than the MLP using the RCGA and that using existing optimizers. The accurate prediction of the runoff in an urban stream using an MLPHS based on the discharge of each pump station is possible. View Full-Text
Keywords: runoff prediction; pump station; urban stream; multi-layer perceptron; harmony search runoff prediction; pump station; urban stream; multi-layer perceptron; harmony search
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MDPI and ACS Style

Lee, W.J.; Lee, E.H. Runoff Prediction Based on the Discharge of Pump Stations in an Urban Stream Using a Modified Multi-Layer Perceptron Combined with Meta-Heuristic Optimization. Water 2022, 14, 99. https://doi.org/10.3390/w14010099

AMA Style

Lee WJ, Lee EH. Runoff Prediction Based on the Discharge of Pump Stations in an Urban Stream Using a Modified Multi-Layer Perceptron Combined with Meta-Heuristic Optimization. Water. 2022; 14(1):99. https://doi.org/10.3390/w14010099

Chicago/Turabian Style

Lee, Won J., and Eui H. Lee. 2022. "Runoff Prediction Based on the Discharge of Pump Stations in an Urban Stream Using a Modified Multi-Layer Perceptron Combined with Meta-Heuristic Optimization" Water 14, no. 1: 99. https://doi.org/10.3390/w14010099

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