Deep Excavation Hazard Assessment Zoning in District 1 in Shiraz Municipality Using Geographic Information System (GIS)
محورهای موضوعی : Structural EngineeringSara Afarid 1 , Alireza Hajiani Boushehrian 2
1 - Master of Science Student in Geographic Information System, Larestan Branch, Islamic Azad University, Larestan, Iran
2 - Assistant professor of geotechnical engineering, Department of Civil Engineering, Islamic Azad University, Shiraz Branch, Shiraz, Iran
کلید واژه: Geographic Information System, Geotechnical zoning, Excavation hazard assessment, districts1 in Shiraz municipality,
چکیده مقاله :
This research presents the geotechnical zoning map of district 1 in Shiraz municipality with focus on municipal deep excavation hazard assessment on data from 160 boreholes. For this purpose, the mechanical properties are determined according to the results of direct shear, uniaxial, and SPT tests and then excavation hazard assessment with depths of 3, 6 and 9 m, in situations where the excavation depth of the neighbor foundation is below 0 and 0 to 20 meters have been calculated. Finally, using ArcGIS software, the assessment hazard excavation for 6 different modes was zoned and the zoning map of the assessment hazard excavation with the normal, high and very high hazard index is provided. The zoning maps shows that with increasing depth of excavation, the danger is increased, so that in maps whit depth of excavation of 9 meters, more than 90 percent of points have high hazard index.
[1] Ladeira, F. L., and Ferreira Gomes, L. M. (1994). “Bearing capacity in engineering geological mapping.” In Proceedings of the 7th congress of the International Association of Engineering Geology, Lisbon, Vol. 2, 1245-1250.
Ghafoori, M., Lashkaripour, G. R., and Azali, S. T. (2011). “Investigation of the geological and geotechnical characteristics of Daroongar Dam, Northeast Iran.” Geotechnical and Geological Engineering, 29(6), 961-957.
[2] Dearman, W. R. (1991). “Engineering Geological Mapping” First published, Butter worth Heinemann Ltd.387p.
[3] Nadi, M., Jamei, M., Bazrafshan, J. and Janat Rostami, S. (2011). “Evaluation of different methods of interpolation of monthly and annual rainfall data: Khuzestan province Case study.” National Geographical Researches, 44(4), 117-130.
[4] Andrus, R. D., Stokoe, K. H., Chung, R. M., and Juang, C. H. (1999). “Draft Guidelines for Evaluating Liquefaction Resistance Using Shear Wave Velocity Measurements and Simplified Procedures.” NIST (No. NIST Interagency/Internal Report (NISTIR)-6277).
[5] Sharma, B. and Chetia, M., (2016). “Deterministic and probabilistic liquefaction potential evaluation of Guwahati city.” Japanese Geotechnical Society Special Publication, 2(22), 823-828.
[6] Sana, H. and Nath, S.K., (2005). “Liquefaction potential analysis of the Kashmir valley alluvium, NW Himalaya.” Soil Dynamics and Earthquake Engineering, 85, 11-18.
[7] Thoithoi, L., Dubey, C.S., Ningthoujam, P.S., Shukla, D.P., Singh, R.P. and Naorem, S.S., (2016). “Liquefaction potential evaluation for subsurface soil layers of Delhi region. Journal of the Geological Society of India.” 88(2), 147-150.
[8] Rao, K.S. and Satyam, D.N., (2007). “Liquefaction studies for seismic microzonation of Delhi region.” Current Science Association, 92(5), 646-654.
[9] Lodi, S.H., Sultan, W., Bukhary, S.S. and Rafeeqi, S.F.A. (2015). “Liquefaction potential along the coastal regions of Karachi.” Journal of Himalayan Earth Sciences Volume, 48(1), 89-98.
[10] Singh, N.K. and Jawaid, S.A., (2015). “A SPT Based Evaluation of Liquefaction Potential of Rapti Main Canal in District Balrampur.” Global Journal for Research Analysis” 4(11), 100-103.
[11] Rakesh, K., Rao, G.R.S. and Prasad, D.S.V., (2016). “Seismic soil liquefaction susceptibility assessment of District Krishna.” Andhra Pradesh. IJAR, 2(2), 477-482.
[12] Boushehrian, A.H. and Zarei, M. (2018). “Boushehr liquefaction hazard zonation based on SPT and result presentation by using GIS plat form.” Journal of Civil and Environmental Engineering, online published, (92) 48.3, 109-119.
[13] El May, M., Dlala, M., & Chenini, I. (2010). “Urban geological mapping: Geotechnical data analysis for rational development planning.” Engineering Geology, 116(1-2), 129-138.
[14] Wan-Mohamad, W. N. S., & Abdul-Ghani, A. N. (2011). “The use of geographic information system (GIS) for geotechnical data processing and presentation.” Procedia Engineering, 20, 397-406.
[15] Labib, M. and Nashed, A. (2012). “GIS and geotechnical mapping of expansive soil in Toshka region.” Ain Shams Engineering Journal, 4(3), 423-433.
[16] Bhatt, G. D. (2001). “Knowledge management in organizations: examining the interaction between technologies, techniques, and people.” Journal of knowledge management, 5(1), 68-75.
[17] Iran 7th national regulation building code, (2012).
[18] Johnston, K., Ver Hoef, J. M., Krivoruchko, K., and Lucas, N. (2004). “Using ArcGIS geostatistical analyst.” ESRI Press.
[19] Ashiq, M.W., Zhao, C., Ni, J. and Akhtar, M. (2010). “GIS-based high-resolution spatial interpolation of precipitation in mountain–plain areas of Upper Pakistan for regional climate change impact studies.” Theoretical and Applied Climatology, 99(3-4), 239-253.
[20] Mardikis, M. G., Kalivas, D. P., and Kollias, V. J. (2005). “Comparison of interpolation methods for the prediction of reference evapotranspiration—an application in Greece.” Water Resources Management, 19(3), 251-278.
[21] Zhao, C., Nan, Z., and Cheng, G. (2005). “Methods for estimating irrigation needs of spring wheat in the middle Heihe basin, China.” Agricultural water management, 75(1), 54-70.
[22] Zhang, X., Kang, S., Zhang, L., and Liu, J. (2010). “Spatial variation of climatology monthly crop reference evapotranspiration and sensitivity coefficients in Shiyang river basin of northwest China.” Agricultural Water Management, 97(10), 1506-1516.
[23] Ashraf, M., Loftis, J. C., and Hubbard, K. G. (1997). “Application of geostatistics to evaluate partial weather station networks.” Agricultural and forest meteorology, 84(3-4), 255-271.
[24] Phillips, D. L., and Marks, D. G. (1996). “Spatial uncertainty analysis: propagation of interpolation errors in spatially distributed models.” Ecological Modelling, 91(1-3), 213-229.
[25] Bechini, L., Ducco, G., Donatelli, M., and Stein, A. (2000). “Modelling, interpolation and stochastic simulation in space and time of global solar radiation.” Agriculture, ecosystems and environment, 81(1), 29-42.
[26] Webster, R., and Oliver, M. A. (2007). “Geostatistics for environmental scientists.” John Wiley and Sons Press.
[27] Tewolde, M. G., Beza, T. A., Costa, A. C., and Painho, M. (2010). “Comparison of different interpolation techniques to map temperature in the southern region of Eritrea.” In 13th AGILE International Conference on Geographic Information Science (1), 1-5.
[28] Creutin, J. D., and Obled, C. (1982). “Objective analyses and mapping techniques for rainfall fields: an objective comparison.” Water resources research, 18(2), 413-431.
[29] Isaaks, E. H., and Srivastava, R. M. (1989). “An introduction to applied geostatistics.” Oxford university press.
[30] Weber, D., and Englund, E. (1992). Evaluation and comparison of spatial interpolators. Mathematical Geology, 24(4), 381-391.
[31] Martínez-Cob, A. (1996). “Multivariate geostatistical analysis of evapotranspiration and precipitation in mountainous terrain.” Journal of Hydrology, 174(1-2), 19-35.
[32] Caruso, C., and Quarta, F. (1998). “Interpolation methods comparison.” Computers and Mathematics with Applications, 35(12), 109-126
[33] Nalder, I. A., and Wein, R. W. (1998). “Spatial interpolation of climatic normals: test of a new method in the Canadian boreal forest.” Agricultural and forest meteorology, 92(4), 211-225.