The effect of Quaternary natural hazards on potential rock fall hazard using the rock engineering system method (case study of Tehran province)

Document Type : Original Article

Authors

1 Faculty of Earth Sciences, Islamic Azad University, North Tehran Branch, Tehran, Iran

2 .Department of Geology., North Tehran Branch, Islamic Azad University, Tehran, Iran

3 Department of Geology, Faculty of Science, Tarbiat Modares University, Tehran, Iran

Abstract
1-Introduction
Tehran is known as the most important political-economic and demographic center of Iran. The rock fall as a natural hazard has always caused a lot of damage in this City. Therfore, identifying the factors that are effective in the occurrence of this phenomenon is very important. In most cases, the danger caused by falling rocks cannot be avoided. Because the spatial and temporal variation of this phenomenon is very high. The main goal of the current research is to investigate the parameters involved in the rock fall in Tehran province.
2-Materials and methods
The rock engineering system is an analytical method that prepares a model to studying the problem and analyzing its variables. The main tool of this method is the interaction matrix. This matrix makes the effect of all parameters on the system and the effect of the system on the parameters to be studied. Numerical and analytical models are only able to model a part of the interaction between different parameters, but this method is able to model a complete system. Due to the cause and effect nature of these interactions, the system has a dynamic state, which means that a change in a parameter can decrease the value of that parameter in a chain process. These changes occur until the system reaches equilibrium. In order to prepare a rock fall potential map, it is necessary to take help from 7 different layers, including the slope, relative relief, rainfall distribution, vegetation, seismicity, weathering and rock blocking. Therefore, first of all, the mentioned maps are classified separately. Then, it is necessary to prepare a map of rock fall potential by giving weight to each of the layers. In this research, the rock engineering system method was used to weight the above parameters.
3-Results and discussion
In this study, the rock fall potential map was prepared by using 7 layers of information and weighting each one according to the rock engineering system. This map shows a well-defined relationship between mountainous areas and increased risk of rock falls. Also, in the location of the main faults, a significant increase in the hazard of rock fall can be seen. The increase in topographic slope can be considered effective in the changes in the hazard of rock falls. In general, since rock fall potential is prepared based on 7 data layers, each of these layers is effective in changing the hazard level. It should be noted that the role of faults has been properly considered in two ways, one in the amount of rock crushing or blocking and the other in earthquake acceleration. The location of landslides and slope instabilities was also compared with the hazard map of rock fall. Based on this, it was found that all these positions are located in areas with very high to high risk. This case confirms the accuracy of the present analysis to some extent. The results of this research are used to indicate areas at risk.
4- Conclusion, Keywords
In most of the studies related to rock falls, the main goal is to reduce the risk of this phenomenon. To reduce the risk of rock fall, the dominant mechanism should be identified and then the risk of this phenomenon should be reduced by explaining the important factor with corrective measures. One of the methods used to reduce the rock fall hazard is to reduce the hazard elements in the rock fall area. Also, in many cases, it is not possible to reduce the risk elements and some protective structures, and corrective measures must be taken to protect the risk elements from falling blocks. For efficient facility design, some characteristics of the fallen blocks should be available to help designers make decisions about facility location and capacity.

Subjects


Abebe, B., Fubelli, G., Umer, M., and Asrat, A., 2010, Landslides in the Ethiopian highlands and the Rift margins: Journal of African Earth Sciences, v. 56, p. 131-138.
Baftipour, M., Jarahi, H., Polat, G., and Seifilaleh, S., 2022, Damavand Earthquake of 2020 the Mainshock or an Alarm for Disaster for the Capital of Iran: American Journal of Engineering and Applied Sciences, v. 15, no. 1.
Binal, A., and Ercanoglu, M., 2010, Assessment of rockfall potential in the Kula (Manisa, Turkey) Geopark Region: Environmental Earth Sciences, v. 61, p. 1361-1373.
Blahůt, J., Klimeš, J., and VaŘIlovÁ, 2013, Quantitative rockfall hazard and risk analysis in selected municipalities of the České Švýcarsko National Park, northwestern Czechia: Geografie, v. 118, p. 205-220.
Ding, Y., Dang, C., Yuan, G., and Wang, Q., 2011, Characteristics and remediation of a landslide complex triggered by the 2008 Wenchuan, China earthquake-case from Yingxiu near the earthquake epicenter: Environmental Earth Sciences, v. 67.
Dorren, L., 2003, A review of rockfall mechanics and modelling approaches: Organic Geochemistry - ORG GEOCHEM, v. 27.
Evans, S., and Hungr, O., 1993, The assessment of rockfall hazard at the base of talus slopes: Canadian Geotechnical Journal, v. 30, p. 620-636.
Frough, O., Torabi, S., and Yagiz, S., 2014, Application of RMR for Estimating Rock-Mass–Related TBM Utilization and Performance Parameters: A Case Study.
Guzzetti, F., Crosta, G., Detti, R., and Agliardi, F., 2002, STONE: A computer program for the three-dimensional simulation of rock-falls: Computers & Geosciences, v. 28, p. 1079-1093.
Hoek, E., and Bray, J., 1981, Rock Slope Engineering: Third Edition.
Huang, R., Huang, J., Ju, N., and Li, Y., 2013, Automated tunnel rock classification using rock engineering systems: Engineering Geology, v. 156, p. 20–27.
Hudson, J., and Feng, X.-T., 2015, Rock Engineering Risk, Xia-Ting Feng CRC Press/Balkema, Taylor & Francis Group, 527 p.:
Hutchinson, J. N., 1988, Morphological and geotechnical parameters of landslides in relation to geology and hydrogeology, 3–35 p.:
Jaboyedoff, M., Dudt, J.-P., and Labiouse, V., 2005, An attempt to refine rockfall hazard zoning based on the kinetic energy, frequency and fragmentation degree: Natural hazards and earth system sciences, v. 5.
Jarahi, H., 2016a, Ground-motion scenarios consistent with Probabilistic Seismic Hazard Deaggregation for Karaj city (Iran): American Journal of Engineering and Applied Sciences, v. 9, no. 3, p. 520-529.
Jarahi, H., 2016b, Probabilistic seismic hazard deaggregation for Karaj City (Iran): American Journal of Engineering and Applied Sciences, v. 9, no. 3, p. 520-529.
Jarahi, H., 2019, Paleo-Mega Lake Evidence and its Effect on Civilizations Taking Place Case Study SE Tehran, In Second International Symposium of the Near Eastern Landscape Archaeology, , Volume 1: Turkey, Eurasia Institue of Earth Sciences, p. 12.
Jarahi, H., 2020, Quaternary fault escarpment or Paleo shoreline, Case study Eslamshahr Metro, Southeast of Tehran: Geotechnic section, Zharf Pouya Co., (Persian Language), 56pp.
Jarahi, H., 2021, Paleo Mega Lake of Rey Identification and Reconstruction of Quaternary Lake in Central Iran: Open Quaternary, v. 7, no. 1, p. 1-15.
Jarahi, H., Madadi, M. R., Nadalian, M., and Bandar, F., 2015, Seismic Hazard Zonation in Terms of Spectral Acceleration at Tehran Region Base on Activity and Slip Rates, 2st National Congress on Construction Engineering and Projects Assessment,: Semnan-Iran.
Jarahi, H., Moghimi, S., Tan, O., Saygılı, O., and Karagöz, O., 2022a, Paleo Mega Lake of Rey Sediments and Its Effect on Earthquake Acceleration Case Study Tehran City,, SSA Annual Meeting 2022: Washington D.C., USA.
Jarahi, H., 2022b, Revision of Iranian Seismic Design Code for Tehran Region Based on “Paleo Mega Lake of Rey” Theory, SSA Annual Meeting 2022: Washington D.C., USA.
Jarahi, H., Naraghiaraghi, N., and Nadalian, M., 2016, Short Period Spectral Acceleration Zonation of Tehran a Comparison between Slip and Activity Rates Data’s: American Journal of Geosciences, v. 6, no. 1, p. 36-46.
Jarahi, H., Polat, G., and Seifilaleh, S., 2022c, Damavand Earthquake of 2020 the Mainshock or an Alarm for Disaster for the Capital of Iran: American Journal of Engineering and Applied Sciences, v. 15, no. 1.
Jarahi, H., Pourkermani, M., Akbarzadeh, R., and Farajpour, Z., 2022d, The re-interpretation of Quaternary faults near Tehran, Based on Paleo Mega Lake of Rey Theory, SSA Annual Meeting 2022: Washington D.C., USA, p. 7.
Jarahi, H., and Seifilaleh, S., 2016, Rock fall hazard zonation in Haraz highway: American Journal of Engineering and Applied Sciences, v. 9, p. 371-379.
Leine, R., Schweizer, A., Christen, M., Glover, J., Bartelt, P., and Gerber, W., 2013, Simulation of rockfall trajectories with consideration of rock shape: Multibody System Dynamics, v. 32, p. 241-271.
Maghsoudi, M., 2021, Desert Landscapes and Landforms of Iran, Springer International Publishing, v. 1.
Matsuoka, N., and Sakai, H., 1999, Rockfall activity from an alpine cliff during thawing periods: Geomorphology, v. 28, p. 309-328.
McCarroll, D., Shakesby, R., and Matthews, J., 1998, Spatial and Temporal Patterns of Late Holocene Rockfall Activity on a Norwegian Talus Slope: A Lichenometric and Simulation-Modeling Approach: Arctic and Alpine Research, v. 30, p. 51.
McCreath, D., 1990, Rock mechanics principles in engineering practice: Canadian Geotechnical Journal, v. 27, no. 3, p. 407-407.
Najafian A., Jarahi, H., and Bayraktutan M.S., 2022, Challenges Facing Discovery of Largest Lake in World History Geotechnical Investigation, SSA Annual Meeting 2022: Washington D.C., USA.
Romana, M., 1985, New adjustment ratings for application of Bieniawski classification to slopes. In: proceedings of international symposium on the role of rock mechanics: ISRM, Zacatecas, p. 49-53.
Rozos, D., Bathrellos, G., and Skillodimou, H., 2011, Comparison of the implementation of rock engineering system and analytic hierarchy process methods, upon landslide susceptibility mapping, using GIS: A case study from the Eastern Achaia County of Peloponnesus, GREECE: Environmental earth sciences, v. 63, p. 49-63.
Topal, T., Akin, M., and Akin, M., 2011, Rockfall hazard analysis for an historical Castle in Kastamonu (Turkey): Natural Hazards, v. 62.
Vidrih, R., Ribicic, M., and Suhadolc, P., 2001, Seismogeological effects on rocks during the 12 April 1998 upper Soca Territory earthquake (NW Slovenia): Tectonophysics, v. 330, p. 153-175.
Youssef, D. A., Pradhan, B., Al-Kathery, M., Bathrellos, G., and Skilodimou, H., 2015, Assessment of rockfall hazard at Al-Noor Mountain, Makkah city (Saudi Arabia) using spatio-temporal remote sensing data and field investigation: Journal of African Earth Sciences, v. 101, p. 309–321.