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Effect of growing watershed imperviousness on hydrograph parameters and peak discharge
Authors:Huang‐jia Huang  Shin‐jen Cheng  Jet‐chau Wen  Ju‐huang Lee
Institution:1. Graduate School of Engineering Science and Technology, National Yunlin University of Science and Technology, Yunlin, Taiwan, ROC;2. Department of Environment and Resources Engineering, Diwan University, Tainan, Taiwan, ROC;3. Department of Safety Health and Environmental Engineering, National Yunlin University of Science and Technology, Yunlin, Taiwan, ROC;4. Water Resources Agency, Ministry of Economic Affairs, Taipei, Taiwan, ROC
Abstract:An increasing impervious area is quickly extending over the Wu‐Tu watershed due to the endless demands of the people. Generally, impervious paving is a major result of urbanization and more recently has had the potential to produce more enormous flood disasters than those of the past. In this study, 40 available rainfall–runoff events were chosen to calibrate the applicable parameters of the models and to determine the relationships between the impervious surfaces and the calibrated parameters. Model inputs came from the outcomes of the block kriging method and the non‐linear programming method. In the optimal process, the shuffled complex evolution method and three criteria were applied to compare the observed and simulated hydrographs. The tendencies of the variations of the parameters with their corresponding imperviousness were established through regression analysis. Ten cases were used to examine the established equations of the parameters and impervious covers. Finally, the design flood routines of various return periods were furnished through use of approaches containing a design storm, block kriging, the SCS model, and a rainfall‐runoff model with established functional relationships. These simulated flood hydrographs were used to compare and understand the past, present, and future hydrological conditions of the watershed studied. In the research results, the time to peak of flood hydrographs for various storms was diminished approximately from 11 h to 6 h in different decrements, whereas peak flow increased respectively from 127 m3 s?1 to 629 m3 s?1 for different storm intensities. In addition, this study provides a design diagram for the peak flow ratio to help engineers and designers to construct hydraulic structures efficiently and prevent possible damage to human life and property. Copyright © 2007 John Wiley & Sons, Ltd.
Keywords:block kriging  flood modelling  SCS  NLP  time to peak  peak flow
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