Evaluation of the Deterministic Seismic Hazard by using Fuzzy Inference System, Case Study: Tabriz city, Iran

نوع مقاله : مقاله پژوهشی‌

نویسندگان

1 Associate Professor of Seismology, Department of Basic Science, Faculty of Physics, Islamic Azad University, Qom Branch, Qom, Iran

2 Master Science of Geophysics, Department of Basic Science, Faculty of Physics, Islamic Azad University, Qom Branch, Qom, Iran

چکیده

The Iranian plateau is located in the high seismicity belt. Earthquake can inflict severe loss of life and property, especially when they occur in densely populated areas. Therefore, seismic hazard evaluation is very essential to prevent the harmful effects. The region of the study is located in the northwest of Iran, between 43°-50° E longitude and 35.5°-40.5° N latitude. This city which is located in the center of East Azerbaijan province, has been ruined by terrible earthquakes, which is due to the presence of active faults in the region. Seismic hazard assessment similar to other seismology researches is very complicated due to the effect of different parameters in an earthquake occurring with uncertainty. The amount of uncertainty should be considered in a rational way. The fuzzy method is a suitable method that is used as a decision-making method for solving problems and modeling uncertainties and ambiguities. We used a fuzzy inference system, as the practice is based on uncertainty estimation of seismic hazard for Tabriz region. Peak ground Acceleration value is estimated for fuzzy Logic System in deterministic method 0.55g which is obtained from a seismic source with a Mmax=8.0 at a distance of  36.98 km of Tabriz city.The contour map of the peak ground acceleration throughout Tabriz city can help in urban planning.
 

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Evaluation of the Deterministic Seismic Hazard by using Fuzzy Inference System, Case Study: Tabriz city, Iran

نویسندگان [English]

  • Fataneh taghizadeh Farahmand 1
  • Malikeh Eslami 2
1 Associate Professor of Seismology, Department of Basic Science, Faculty of Physics, Islamic Azad University, Qom Branch, Qom, Iran
2 Master Science of Geophysics, Department of Basic Science, Faculty of Physics, Islamic Azad University, Qom Branch, Qom, Iran
چکیده [English]

The Iranian plateau is located in the high seismicity belt. Earthquake can inflict severe loss of life and property, especially when they occur in densely populated areas. Therefore, seismic hazard evaluation is very essential to prevent the harmful effects. The region of the study is located in the northwest of Iran, between 43°-50° E longitude and 35.5°-40.5° N latitude. This city which is located in the center of East Azerbaijan province, has been ruined by terrible earthquakes, which is due to the presence of active faults in the region. Seismic hazard assessment similar to other seismology researches is very complicated due to the effect of different parameters in an earthquake occurring with uncertainty. The amount of uncertainty should be considered in a rational way. The fuzzy method is a suitable method that is used as a decision-making method for solving problems and modeling uncertainties and ambiguities. We used a fuzzy inference system, as the practice is based on uncertainty estimation of seismic hazard for Tabriz region. Peak ground Acceleration value is estimated for fuzzy Logic System in deterministic method 0.55g which is obtained from a seismic source with a Mmax=8.0 at a distance of  36.98 km of Tabriz city.The contour map of the peak ground acceleration throughout Tabriz city can help in urban planning.
 

کلیدواژه‌ها [English]

  • Fuzzy inference system
  • Seismic hazard
  • Deterministic approach
  • Peak ground acceleration
  • Tabriz
  • Iran
Ahumada, A., Altunkaynak, A., and Ayoub, A., 2015, Fuzzy logic-based attenuation relationships of strong motion earthquake records: Expert System with Applications, 42, 1287-1297.
Ambraseys, N. N., and Melville, Ch. P., 1982, A History Of Persian Earthquakes: Cambridge University Press.
Anaxagoras, E., Eleni, V., Petros, A., and Ioannis, A., 2003, Classification of Seismic Damages in Buildings Using Fuzzy Logic Procedures: Springer Netherlands, 26,335-344.
Andric, J. M. and Lu, D. G., 2016, Risk assessment of bridges under multiple hazards in operation period: Safety Science, 83, 80–92.
Andric, J. M. and Lu, D. G., 2017, Fuzzy probabilistic seismic hazard analysis with applications to Kunming city, China/; Natural Hazard, 89, 1031-1057.
Building and Housing Research Center, 2008, Regulations designed buildings against standard earthquake.
Chen, D., Dong, W., Shah, H. C., 1988, Earthquake recurrence relationships from fuzzy earthquake magnitudes: Soil Dynamics and Earthquake Engineering, 7,136-142.
Chongfu, H., 1996, Fuzzy risk assessment of urban natural hazards: Fuzzy Sets and Systems, 83, 271-282.
Furuta, H., 1993, Comprehensive analysis for structural damage based upon fuzzy sets theory: Journal of Intelligent and Fuzzy Systems, 1, 55-61.
Green, A., and Hell, J., 1994, In An Overview of Selected Seismic Hazard Analysis Methodologies: Urbana, Champaign University of Illinois.
Hamzehloo, H., Alikhanzadeh, A., Rahmani, M., and Ansari, A., 2012, Seismic hazard maps of Iran: 15th world conference on earthquake engineering, Lisbon, Portugal.
Ghodrati-Amiri, G.,  Rahimi, M. A., Razeghi, H. R., and RazavianAmrei, S. A., 2011, Evaluation of Horizontal Seismic Hazard of Tabriz, Iran: International Journal of Earth Sciences and Engineering, 06, 196-199.
Karimiparidari, S., Zare, M., Memarian, H., and  Kijko, A., 2013, Iranian Earthquakes; A Uniformed Catalog with Moment Magnitude: Journal of Seismology, 17, 897–911.
Kim, Y, Hurlebus, S, Langari, R., 2010, Model-Based Multi-input, Multi-output Super visory Semi-active Nonlinear Fuzzy Controller. Journal Computer-Aided Civil and Infra structure Engineering, 25: 387-393.
Laasri, E., Akhouayri, S., Agliz, D., and Atmani, A., 2012, Seismic signal discrimination between earthquakes andquarry    blasts    using    fuzzy logic
approach: 5th International Conference Image and Signal Processing, Agadir, Morocco.
Lamarre, M., and Dong, W., 1986, Evaluation of seismic hazard with fuzzy algorithm: 3rd U.S. National Conference on Earthquake Engineering, Charleston, South Carolina.
Manmdani, E.H., and Assilian, S., 1975, An experiment in linguistic synthesis with a fuzzy logic controller: Int. J. Man-machine Studies, 7, 1-13.
Mirzaei, N., Gao, M., and Chen, Y. T., 1999, Delineation of potential seismic sources for seismic zoning of Iran: Journal of Seismology, 3, 17–30.
Mousavi-Bafrouei, S. H., Mirzaei, N., Shabani, E., and Eskandari-Ghadi, M., 2015, Seismic hazard zoning in Iran and estimating peak ground acceleration in provincial capitals: J Earth and Space Physics, 4, 15-38.
Moinfar, A. A., Naderzadeh, A., and Nabavi, M.H., 2012, New Iranian Seismic Hazard Zoning Map for New Edition of Seismic Code and Its Comparison with Neighbor Countries: 15th WCEE, LISBOA.
Tavakoli, B., Ghafory-Ashtiany, M., 1999, Seismic Hazard Assessment of Iran Special Issue: Anali Di Geofisica Journal “GSHAP”, 42, 1013-1021.
Wadia-Fascetti, S., and Gunes, B., 2000, Earthquake Response Spectra Models Incorporating Fuzzy Logic with Statistics/; J Computer-Aided Civil and Infrastructure Engineering, 15, 134-146.
Zadeh, L.A., 1965, Fuzzy sets: Elsevier Information and control, 8, 338-353.