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Numerical Simulations of a Dam Overflowing. Case Study: “La Esperanza” Dam in Hidalgo, Mexico. Implications for Risk Evaluation

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High Performance Computer Applications (ISUM 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 595))

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Abstract

Dam safety is an issue that affects directly or indirectly all society sectors. Up to now, Mexico does not have a proper federal or state legislation to evaluate dam safety, thus it is difficult to assign liability when total or partial dam failure occurs or to prevent failure by programming cost-effective dam supervision. Dam safety risk analysis by means of numerical simulations has the objective of evaluating the occurrence probability of a phenomenon, or group of phenomena, that affects dam safety. This work is focused on obtaining the overflow probability of the dam “La Esperanza” located in Hidalgo, Mexico. With this purpose, first, a statistical hydrologic analysis using daily maximum rains was conducted to obtain dam inflow as a function of rainfall duration and return periods. Second, different inflow scenarios were simulated to obtain their associated maximum hydraulic head values using the Smoothed Particle Hydrodynamics (SPH) numerical method. Finally, simulation results of maximum hydraulic head reached by water particles were used to calculate the overflow probability. We have obtained a high overflow probability for the “La Esperanza” dam warranting more studies, for this and other dams with similar conditions, given that the hazard potential to populated downstream areas is high.

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Acknowledgments

Financial support has been provided to Rosanna Bonasia, Dante Tolentino and Omar S. Areu-Rangel through: Consejo Nacional de Ciencia y Tecnología (CONACYT), México; from the following programs: Cátedras, Retención and National Fellowship respectively. Any opinions, findings, conclusions, or recommendations expressed in this article are those of the authors and do not necessarily reflect the views of CONACYT. This work was partially supported by ABACUS, CONACyT grant EDOMEX-2011-C01-165873.

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Authors and Affiliations

  1. Instituto Politécnico Nacional, ESIA, UZ, Miguel Bernard S/N, Edificio de Posgrado, 07738, Mexico, D.F., Mexico

    Omar S. Areu-Rangel, Dante Tolentino & Itza Mendoza-Sanchez

  2. Universidad of Guanajuato, División de Ciencias Naturales y Exactas, Noria Alta, Guanajuato, Mexico

    Carlos E. Alvarado-Rodríguez

  3. Departamento de Física, Instituto Nacional de Investigaciones Nucleares, La Marquesa Ocoyoacac S/N, Ocoyoacac, Edo. de México, Mexico

    Jaime Klapp

  4. “ABACUS” Centro de Matemáticas Aplicadas y Cómputo de Alto Rendimiento, Departamento de Matemáticas, Centro de Investigación y de Estudios Avanzados (CINVESTAV-IPN), Carretera México-Toluca Km 38.5, La Marquesa, 52740, Ocoyoacac, Estado de México, Mexico

    Carlos E. Alvarado-Rodríguez & Jaime Klapp

  5. CONACyT Research Fellow at Instituto Politécnico Nacional, ESIA, UZ, Miguel Bernard S/N, Edificio de Posgrado, 07738, Mexico, D.F., Mexico

    Rosanna Bonasia

Authors
  1. Omar S. Areu-Rangel
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  2. Dante Tolentino
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  3. Itza Mendoza-Sanchez
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  4. Carlos E. Alvarado-Rodríguez
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  5. Jaime Klapp
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  6. Rosanna Bonasia
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Corresponding author

Correspondence to Rosanna Bonasia .

Editor information

Editors and Affiliations

  1. ABACUS Centro de Matemáticas Aplicadas, CINVESTAV-IPN, La Marquesa, Mexico

    Isidoro Gitler

  2. Instituto Nacional de Investigaciones Nu, La Marquesa, Mexico

    Jaime Klapp

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Areu-Rangel, O.S., Tolentino, D., Mendoza-Sanchez, I., Alvarado-Rodríguez, C.E., Klapp, J., Bonasia, R. (2016). Numerical Simulations of a Dam Overflowing. Case Study: “La Esperanza” Dam in Hidalgo, Mexico. Implications for Risk Evaluation. In: Gitler, I., Klapp, J. (eds) High Performance Computer Applications. ISUM 2015. Communications in Computer and Information Science, vol 595. Springer, Cham. https://doi.org/10.1007/978-3-319-32243-8_20

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  • DOI: https://doi.org/10.1007/978-3-319-32243-8_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32242-1

  • Online ISBN: 978-3-319-32243-8

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