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DEVELOPMENT OF DAMAGE SCENARIOS FOR ELECTRICAL FACILITIES DUE TO TROPICAL CYCLONES, USING GEOGRAPHICAL INFORMATION SYSTEMS

Mena-Hernandez, Ulises, Garcia-C., Jesus S., Hernandez-Juarez, Gualberto, Soberanes, Rosa M. Rodriguez, D.Pena-Segura, Oscar, Sanson-Reyes, Leodegario

First published: 2014-06-20https://doi.org/10.5593/sgem2014/b21/s8.074View metrics

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Title
DEVELOPMENT OF DAMAGE SCENARIOS FOR ELECTRICAL FACILITIES DUE TO TROPICAL CYCLONES, USING GEOGRAPHICAL INFORMATION SYSTEMS
Authors
Mena-Hernandez, Ulises, Garcia-C., Jesus S., Hernandez-Juarez, Gualberto, Soberanes, Rosa M. Rodriguez, D.Pena-Segura, Oscar, Sanson-Reyes, Leodegario
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 14th SGEM GeoConference on INFORMATICS, GEOINFORMATICS AND REMOTE SENSING
Publisher
Stef92 Technology
Year
2014
Pages
Not available yet
ISSN
1314-2704
ISBN
978-619-7105-10-0
Language
en
Publication type
Conference Paper
References20

  1. NOAA. Hurricane Basics, National Oceanic and Atmospheric Administration – U.S. Department, http://www.nhc.noaa.gov, 1999.

  2. Historical Hurricane Tracks, National Oceanic and Atmospheric and Administration. Web page: http://www.csc.noaa.gov/hurricanes/#, 2012.

  3. Proyecto C511GEIC –P14252 IIE. “Automatización de la gestión de información para predicción de ciclones tropicales y estimación de sus efectos en infraestructura de CFE”, Instituto de Investigaciones Eléctricas – Departamento de Meteor ología de la GEIC– CFE. 2013. In spanish.

  4. FEMA. HAZUS-MH 2.0 MR4 Hurricane Model Technical Manual, Federal Emergency Management Agency, Mitigation Division, Washington, D.C., 2011.

  5. López D.H. & Godoy A. L., “Metodología para la estimación de daños e structurales ocasionados por vientos huracanados en edificaciones industriales”, Rev. Int. de Desastres Naturales, Accidentes e Infraestructura Civil. Vol. 5(2), 2005, pp. 121-134. In spanish.

  6. McDonald, J., Mehta, K. y Smith, D. (1981). “Procedure for predicting wind damage to buildings”, Journal of the Structural Division, ASCE, Vol. 107, No. 11, pp. 2089-2096.

  7. I nstituto de Investigaciones Eléctricas - Comisión Fed eral de Electricidad, Manual de Diseño de Obras Civiles, Diseño por Viento, Mexico, 2008, pp 359. In spanish.

  8. MM5. PSU/NCAR mesoscale model. http://www.mmm.ucar.edu/

  9. E. Buendía, et al, “PRINCIPIOS DEL PRONÓSTICO A CORTO PLAZO”, Instituto de Astronomía y Meteorología de la Universidad de Guadalajara. In spanish.

  10. GFS, “Global Forecast System”, https://www.ncdc.noaa.gov/data-access/model- data/model-datasets/global-forcast-system-gfs.

  11. NOAA. Hurricane Basics, National Oceanic and Atmospheric Administration – U.S. Department, http://www.nhc.noaa.gov, 1999.

  12. Historical Hurricane Tracks, National Oceanic and Atmospheric and Administration. Web page: http://www.csc.noaa.gov/hurricanes/#, 2012.

  13. Proyecto C511GEIC –P14252 IIE. “Automatización de la gestión de información para predicción de ciclones tropicales y estimación de sus efectos en infraestructura de CFE”, Instituto de Investigaciones Eléctricas – Departamento de Meteor ología de la GEIC– CFE. 2013. In spanish.

  14. FEMA. HAZUS-MH 2.0 MR4 Hurricane Model Technical Manual, Federal Emergency Management Agency, Mitigation Division, Washington, D.C., 2011.

  15. López D.H. & Godoy A. L., “Metodología para la estimación de daños e structurales ocasionados por vientos huracanados en edificaciones industriales”, Rev. Int. de Desastres Naturales, Accidentes e Infraestructura Civil. Vol. 5(2), 2005, pp. 121-134. In spanish.

  16. McDonald, J., Mehta, K. y Smith, D. (1981). “Procedure for predicting wind damage to buildings”, Journal of the Structural Division, ASCE, Vol. 107, No. 11, pp. 2089-2096.

  17. I nstituto de Investigaciones Eléctricas - Comisión Fed eral de Electricidad, Manual de Diseño de Obras Civiles, Diseño por Viento, Mexico, 2008, pp 359. In spanish.

  18. MM5. PSU/NCAR mesoscale model. http://www.mmm.ucar.edu/

  19. E. Buendía, et al, “PRINCIPIOS DEL PRONÓSTICO A CORTO PLAZO”, Instituto de Astronomía y Meteorología de la Universidad de Guadalajara. In spanish.

  20. GFS, “Global Forecast System”, https://www.ncdc.noaa.gov/data-access/model- data/model-datasets/global-forcast-system-gfs.

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