Detection and modeling of seismic sources in a wide range of operational stations of oil-rich regions adjacent to the residential zones of Ahvaz Metropolitan using erdas imagine sofware

Paper Details

Research Paper 01/04/2015
Views (608)
current_issue_feature_image
publication_file

Detection and modeling of seismic sources in a wide range of operational stations of oil-rich regions adjacent to the residential zones of Ahvaz Metropolitan using erdas imagine sofware

Mohammad Soleymani, Mehdi Mahdavi Adeli
J. Biodiv. & Environ. Sci. 6(4), 461-466, April 2015.
Copyright Statement: Copyright 2015; The Author(s).
License: CC BY-NC 4.0

Abstract

One of the main factors always considered by engineers, designers and utilizes is to study the performance of structures against natural disasters, especially earthquake. To fulfill this objective, the first step is to realize maximum probability risk that threatens the structure. In this regard, the most fundamental stage is to identify seismic sources and their exact location concerning the studied site and recognition of their magnitude and size. The more precise and comprehensive is this recognition; the risk analysis and susceptibility of the studied structure will be more complete and precise. On the other hand, traditional and manual methods have deficiencies and disadvantages including the errors due to human mistakes and measuring devices. To this end, concerning the sensitivity of the oil-rich areas and existing structures in this area, in this study, it is tried to model the seismic sources in area of 200 km from operational oil-rich stations surrounding residential areas of Ahvaz metropolitan city using Edras Imagine and explain the results.

Ambrasis N, Melvil H. 1991. The history of Iran earthquakes. Translated by Abul hasan Radeh. Agah publication. Tehran.

Bender B, Perkins DM. 1987. SEISRISK-ІІІ: A computer program for seismic hazard estimation. US Geological Survey, Bulletin 1772.

Campbell KW. 1997. Empirical ner-source attenuation relationships for horizontal and vertical components of peak ground acceleration, peak ground velocity, and pseudo-absolute acceleration response spectra, Seismological Research Letters 68(1), 154–179.

Gardaner JK, Knopoff L. 1974. Is the sequence of earthquake in southern California, with aftershocks removed, poissonian?”, Bulletin of the Seismological Society of America 64(5), 1363-1367.

Ghodrati Amiri G, Khorasani M, Mirza Hesabi R, Razavian Amrei SA. 2010. Ground-Motion Prediction Equations of Spectral ordinates and Arias Intensity for Iran, Journal of Earthquake Engineering 14(1), 1-29.

Ghodrati Amiri G, Mahdavian A, Manouchehri F. 2007. bDana, Attenuation Relationship for Iran, Journal of Earthquake Engineering 11(4), 469-492.

Kijko A. 2000. Statical estimation of maximum regional earthquake magnitude Mmax”, Workshop of Seismicity Modeling in Seismic Hazard Mapping, poljce, Slovenia, May 22-24.

Nowroozi A. 1985. Empirical relations between magnitude and fault parameters for earthquakes in Iran. Bulletin of the Seismological Society of America 75(5), 1327-1338.

Ramazi HR. 1999. Attenuation laws of Iranian earthquakes, proceedings of the 3rd International Conference on Seismology and Earthquake Engineering, Tehran, Iran.

Saed A. 2011. Hazard analysis and preparation of uniform hazard spectrum for various areas of Behbahan. MSc thesis, Islamic Azad University, Shahrekord branch.

Tahmasbu Nejad H. 2007. The evaluation of faults of Khuzestan province and the study of seismicity-tectonic of this area”. National congress of earthquake and retrofitting. Behbahan.

Website of international research center of seismology and earthquake engineering, http:/www.iiees.ac.ir

Related Articles

Overemphasis on blue carbon leads to biodiversity loss: A case study on subsidence coastal wetlands in southwest Taiwan

Yih-Tsong Ueng, Feng-Jiau Lin, Ya-Wen Hsiao, Perng-Sheng Chen, Hsiao-Yun Chang, J. Biodiv. & Environ. Sci. 27(2), 46-57, August 2025.

An assessment of the current scenario of biodiversity in Ghana in the context of climate change

Patrick Aaniamenga Bowan, Francis Tuuli Gamuo Junior, J. Biodiv. & Environ. Sci. 27(2), 35-45, August 2025.

Entomofaunal diversity in cowpea [Vigna unguiculata (L.) Walp.] cultivation systems within the cotton-growing zone of central Benin

Lionel Zadji, Roland Bocco, Mohamed Yaya, Abdou-Abou-Bakari Lassissi, Raphael Okounou Toko, J. Biodiv. & Environ. Sci. 27(2), 21-34, August 2025.

Biogenic fabrication of biochar-functionalized iron oxide nanoparticles using Miscanthus sinensis for oxytetracycline removal and toxicological assessment

Meenakshi Sundaram Sharmila, Gurusamy, Annadurai, J. Biodiv. & Environ. Sci. 27(2), 10-20, August 2025.

Bacteriological analysis of selected fishes sold in wet markets in Tuguegarao city, Cagayan, Philippines

Lara Melissa G. Luis, Jay Andrea Vea D. Israel, Dorina D. Sabatin, Gina M. Zamora, Julius T. Capili, J. Biodiv. & Environ. Sci. 27(2), 1-9, August 2025.

Effect of different substrates on the domestication of Saba comorensis (Bojer) Pichon (Apocynaceae), a spontaneous plant used in agroforestry system

Claude Bernard Aké*1, Bi Irié Honoré Ta2, Adjo Annie Yvette Assalé1, Yao Sadaiou Sabas Barima1, J. Biodiv. & Environ. Sci. 27(1), 90-96, July 2025.

Determinants of tree resource consumption around Mont Sangbé national park in western Côte d’Ivoire

Kouamé Christophe Koffi, Serge Cherry Piba, Kouakou Hilaire Bohoussou, Naomie Ouffoue, Alex Beda, J. Biodiv. & Environ. Sci. 27(1), 71-81, July 2025.