The Development of a Hydrological Method for Computing Extreme Hydrographs in Engineering Dam Projects

Engineering dam projects benefit society, including hydropower, water supply, agriculture, and flood control. During the planning stage, it is crucial to calculate extreme hydrographs associated with different return periods for spillways and diversion structures (such as tunnels, conduits, temporar...

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Main Authors: Oscar E. Coronado-Hernández, Vicente S. Fuertes-Miquel, Alfonso Arrieta-Pastrana
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Hydrology
Subjects:
Online Access:https://www.mdpi.com/2306-5338/11/11/194
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author Oscar E. Coronado-Hernández
Vicente S. Fuertes-Miquel
Alfonso Arrieta-Pastrana
author_facet Oscar E. Coronado-Hernández
Vicente S. Fuertes-Miquel
Alfonso Arrieta-Pastrana
author_sort Oscar E. Coronado-Hernández
collection DOAJ
description Engineering dam projects benefit society, including hydropower, water supply, agriculture, and flood control. During the planning stage, it is crucial to calculate extreme hydrographs associated with different return periods for spillways and diversion structures (such as tunnels, conduits, temporary diversions, multiple-stage diversions, and cofferdams). In many countries, spillways have return periods ranging from 1000 to 10,000 years, while diversion structures are designed with shorter return periods. This study introduces a hydrological method based on data from large rivers which can be used to compute extreme hydrographs for different return periods in engineering dam projects. The proposed model relies solely on frequency analysis data of peak flow, base flow, and water volume for various return periods, along with recorded maximum hydrographs, to compute design hydrographs associated with different return periods. The proposed method is applied to the El Quimbo Hydropower Plant in Colombia, which has a drainage area of 6832 km<sup>2</sup>. The results demonstrate that this method effectively captures peak flows and evaluates hydrograph volumes and base flows associated with different return periods, as a Root Mean Square Error of 11.9% of the maximum volume for various return periods was achieved during the validation stage of the proposed model. A comprehensive comparison with the rainfall–runoff method is also provided to evaluate the relative magnitudes of the various variables analysed, ensuring a thorough and reliable assessment of the proposed method.
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spelling doaj-art-c337f60640094cf4a95813e81fa42ffa2025-08-20T02:28:05ZengMDPI AGHydrology2306-53382024-11-01111119410.3390/hydrology11110194The Development of a Hydrological Method for Computing Extreme Hydrographs in Engineering Dam ProjectsOscar E. Coronado-Hernández0Vicente S. Fuertes-Miquel1Alfonso Arrieta-Pastrana2Instituto de Hidráulica y Saneamiento Ambiental, Universidad de Cartagena, Cartagena 130001, ColombiaDepartamento de Ingeniería Hidráulica y Medio Ambiente, Universitat Politècnica de València, 46022 Valencia, SpainInstituto de Hidráulica y Saneamiento Ambiental, Universidad de Cartagena, Cartagena 130001, ColombiaEngineering dam projects benefit society, including hydropower, water supply, agriculture, and flood control. During the planning stage, it is crucial to calculate extreme hydrographs associated with different return periods for spillways and diversion structures (such as tunnels, conduits, temporary diversions, multiple-stage diversions, and cofferdams). In many countries, spillways have return periods ranging from 1000 to 10,000 years, while diversion structures are designed with shorter return periods. This study introduces a hydrological method based on data from large rivers which can be used to compute extreme hydrographs for different return periods in engineering dam projects. The proposed model relies solely on frequency analysis data of peak flow, base flow, and water volume for various return periods, along with recorded maximum hydrographs, to compute design hydrographs associated with different return periods. The proposed method is applied to the El Quimbo Hydropower Plant in Colombia, which has a drainage area of 6832 km<sup>2</sup>. The results demonstrate that this method effectively captures peak flows and evaluates hydrograph volumes and base flows associated with different return periods, as a Root Mean Square Error of 11.9% of the maximum volume for various return periods was achieved during the validation stage of the proposed model. A comprehensive comparison with the rainfall–runoff method is also provided to evaluate the relative magnitudes of the various variables analysed, ensuring a thorough and reliable assessment of the proposed method.https://www.mdpi.com/2306-5338/11/11/194diversion structuresdamhydrological methodhydrographsspillways
spellingShingle Oscar E. Coronado-Hernández
Vicente S. Fuertes-Miquel
Alfonso Arrieta-Pastrana
The Development of a Hydrological Method for Computing Extreme Hydrographs in Engineering Dam Projects
Hydrology
diversion structures
dam
hydrological method
hydrographs
spillways
title The Development of a Hydrological Method for Computing Extreme Hydrographs in Engineering Dam Projects
title_full The Development of a Hydrological Method for Computing Extreme Hydrographs in Engineering Dam Projects
title_fullStr The Development of a Hydrological Method for Computing Extreme Hydrographs in Engineering Dam Projects
title_full_unstemmed The Development of a Hydrological Method for Computing Extreme Hydrographs in Engineering Dam Projects
title_short The Development of a Hydrological Method for Computing Extreme Hydrographs in Engineering Dam Projects
title_sort development of a hydrological method for computing extreme hydrographs in engineering dam projects
topic diversion structures
dam
hydrological method
hydrographs
spillways
url https://www.mdpi.com/2306-5338/11/11/194
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