Geomechanics and Engineering

  • 제13권3호
  • /
  • Pages.475-488
  • /
  • 2017
  • /
  • 2005-307X(pISSN)
  • /
  • 2092-6219(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Spatial interpolation of geotechnical data: A case study for Multan City, Pakistan

  • Aziz, Mubashir (College of Engineering, Al Imam Mohammad Ibn Saud Islamic University) ;
  • Khan, Tanveer A. (Department of Civil Engineering, Bahauddin Zakariya University) ;
  • Ahmed, Tauqir (College of Engineering, Al Imam Mohammad Ibn Saud Islamic University)
  • 투고 : 2017.01.13
  • 심사 : 2017.03.30
  • 발행 : 2017.09.25
⟨ 이전 논문 다음 논문 ⟩

초록

Geotechnical data contributes substantially to the cost of engineering projects due to increasing cost of site investigations. Existing information in the form of soil maps can save considerable time and expenses while deciding the scope and extent of site exploration for a proposed project site. This paper presents spatial interpolation of data obtained from soil investigation reports of different construction sites and development of soil maps for geotechnical characterization of Multan area using ArcGIS. The subsurface conditions of the study area have been examined in terms of soil type and standard penetration resistance. The Inverse Distance Weighting method in the Spatial Analyst extension of ArcMap10 has been employed to develop zonation maps at different depths of the study area. Each depth level has been interpolated as a surface to create zonation maps for soil type and standard penetration resistance. Correlations have been presented based on linear regression of standard penetration resistance values with depth for quick estimation of strength and stiffness of soil during preliminary planning and design stage of a proposed project in the study area. Such information helps engineers to use data derived from nearby sites or sites of similar subsoils subjected to similar geological process to build a preliminary ground model for a new site. Moreover, reliable information on geometry and engineering properties of underground layers would make projects safer and economical.

키워드

참고문헌

  1. Abdelfattah, M.A. and Pain, C. (2012),"Unifying regional soil maps at different scales to generate a national soil map for the United Arab Emirates applying digital soil mapping techniques", J. Maps, 8(4), 392-405. https://doi.org/10.1080/17445647.2012.746744
  2. Abdel-Kader, F.H. (2011), "Digital soil mapping at pilot sites in the northwest coast of Egypt: A multinomial logistic regression approach", Egyptian J. Remote Sensing Space Sci., 14, 29-40. https://doi.org/10.1016/j.ejrs.2011.04.001
  3. Akgun, A. (2012), "A comparison of landslide susceptibility maps produced by logistic regression, multicriteria decision, and likelihood ratio methods: a case study at Izmir, Turkey", Landslides, 9, 93-106. https://doi.org/10.1007/s10346-011-0283-7
  4. Al-Ani, H., Eslami-Andargoli, L., Oh, E. and Chai, G. (2013), "Categorising geotechnical properties of surfers paradise soil using geographic information system (GIS)", Int. J. Geomate, 5(2), 690-695.
  5. Angin, Z. (2016), "Geotechnical field investigation on giresun hazelnut licenced warehause and spot exchange", Geomech. Eng., Int. J., 10(4), 547-563. https://doi.org/10.12989/gae.2016.10.4.547
  6. Antoniou, A.A., Papadimitriou, A.G. and Tsiambaos, G. (2008), "A geographical information system managing geotechnical data for Athens (Greece) and its use for automated seismic microzonation", Natural Hazards, 47, 369-395. https://doi.org/10.1007/s11069-008-9226-6
  7. Augusto, F.O., Hirai, J.N., Oliveria, A.S. and Liotti, E.S. (2010), "GIS applied to geotechnical and environmental risk management in a Brazilian oil pipeline", Bull. Eng. Geol. Environ., 69, 631-641. https://doi.org/10.1007/s10064-010-0310-2
  8. Bekele, A., Downer, R., Wolcott, M., Hudnall, W. and Moore, S. (2003), "Comparative evaluation of spatial prediction methods in a field experiment for mapping soil potassium", Soil Science, 168(1), 15-28. https://doi.org/10.1097/00010694-200301000-00003
  9. Chung, J.-W. and Rogers, J.D. (2010), "GIS-based virtual geotechnical database for the St. Louis metro area", Environ. Eng. Geosci., 16(2), 143-162. https://doi.org/10.2113/gseegeosci.16.2.143
  10. Dasaka, S.M. and Zhang, L.M. (2012), "Spatial variability of in situ weathered soil", Geotechnique, 62(5), 375-384. https://doi.org/10.1680/geot.8.P.151.3786
  11. Georis-Creuseveau, J. Claramunt, C. and Gourmelon, F. (2017), "A modelling framework for the study of spatial data infrastructures applied to coastal management and planning", Int. J. Geograph. Info. Sci., 31(1), 122-138. https://doi.org/10.1080/13658816.2016.1188929
  12. Grunwald, S., Thompson, J.A. and Boettinger, J.L. (2011), "Digital soil mapping and modeling at continental scales: Finding solutions for global issues", Soil Sci. Soc. Am. J., 75, 1201-1213. https://doi.org/10.2136/sssaj2011.0025
  13. Hellawell, E.E., Lamont-Black, J., Kemp, A.C. and Hughes, J. (2001), "GIS as a tool in geotechnical engineering", Geotech. Eng., 149(2), 85-93. https://doi.org/10.1680/geng.2001.149.2.85
  14. Hennig, S., Gryl, I. and Vogler, R. (2013), "Spatial data infrastructures, spatially enabled society and the need for society's education to leverage spatial data", Int. J. Spatial Data Infrastruct. Res., 8, 98-127.
  15. Kienzle, A., Hannich, D., Wirth, W., Ehret, D., Rohn, J., Ciugudean, V. and Czurda, K. (2006), "A GISbased study of earthquake hazard as a tool for the microzonation of Bucharest", Eng. Geol., 87(1-2), 13-32. https://doi.org/10.1016/j.enggeo.2006.05.008
  16. Kolat, C., Doyuran, V., Ayday, C. and Lutfi, S.M. (2006), "Preparation of a geographical microzonation model using geographical information systems based on multicriteria decision analysis", Eng. Geol., 87(3-4), 241-255. https://doi.org/10.1016/j.enggeo.2006.07.005
  17. Kunapo, J., Dasari, G.R., Phoon, K-K. and Tan, T-S. (2005), "Development of a web-GIS based geotechnical information system", J. Comput. Civil Eng., 19(3), 323-327. https://doi.org/10.1061/(ASCE)0887-3801(2005)19:3(323)
  18. Lloyd, C. (2005), "Assessing the effect of integrating elevation data into the estimation of monthly precipitation in Great Britain", J. Hydrol., 308, 128-150. https://doi.org/10.1016/j.jhydrol.2004.10.026
  19. Lu, G. and Wong, D. (2008), "An adaptive inverse-distance weighting spatial interpolation technique", Comput. Geosci., 34, 1044-1055. https://doi.org/10.1016/j.cageo.2007.07.010
  20. Manzo, G., Tofani, V., Segoni, S., Battistini, A. and Catani, F. (2013), "GIS techniques for regional scale landslide susceptibility assessment: the Sicily (Italy) case study", Int. J. Geograph. Info. Sci., 27(7), 1433-1452. https://doi.org/10.1080/13658816.2012.693614
  21. Masser, I. and Crompvoets, J. (2015), Building European Spatial Data Infrastructures, (3rd Edition), ESRI Press, Redlands, CA, USA.
  22. Mendes, R.M. and Lorandi, R. (2010), "Geospatial analysis of geotechnical data applied to urban infrastructure planning", J. Geograph. Info. Syst., 2, 23-31. https://doi.org/10.4236/jgis.2010.21006
  23. Oda, K., Lee, M. and Kitamura, S. (2013), "Spatial Interpolation of consolidation properties of Holocene clays at Kobe Airport using an artificial neural network", Int. J. Geomate, 4(1), 423-428.
  24. Orhan, A. and Tosun, H. (2010), "Visualization of geotechnical data by means of geographic information system: a case study in Eskisehir city (NW Turkey)", Environ. Earth Sci., 61(3), 455-465. https://doi.org/10.1007/s12665-009-0357-1
  25. Ping, J., Green, C., Zartman, R. and Bronson, K. (2004), "Exploring spatial dependence of cotton yield using global and local autocorrelation statistics", Field Crop Res., 89(2-3), 219-236. https://doi.org/10.1016/j.fcr.2004.02.009
  26. Player, R.S.V. (2004), "Geotechnical engineering for transportation projects", Proceedings of Geo-Trans 2004, Los Angeles, CA, USA, July.
  27. Pradhan, B. and Youssef, A.M. (2010), "Manifestation of remote sensing data and GIS for landslide hazard analysis using spatial-based statistical models", Arab. J. Geosci., 3(3), 319-326. https://doi.org/10.1007/s12517-009-0089-2
  28. Roy, N. and Sahu, R.B. (2012), "Site specific ground motion simulation and seismic response analysis for microzonation of Kolkata", Geomech. Eng., Int. J., 4(1), 1-18. https://doi.org/10.12989/gae.2012.4.1.001
  29. Rozos, D., Koukis, G. and Sabatakakis, N. (2006), "Large-scale engineering geological map of the Patras city wider area Greece", Proceedings of the 10th International Association of Engineering Geology and the Environment (IAEG) International Congress, Nottingham, UK, September.
  30. Schmertmann, J.M. (1975), "Measurement of in-situ shear strength", Proceedings of Conference on In Situ Measurement of Soil Properties, Raleigh, NC, USA, June.
  31. Schweckendiek, T., van Tol, A.F. and Pereboom, D. (2015), Geotechnical Safety and Risk V, IOS Press, Amsterdam, Netherlands.
  32. Shiuly, A., Sahu, R.B. and Mandal, S. (2015), "Seismic microzonation of Kolkata", Geomech. Eng., Int. J., 9(2), 125-144. https://doi.org/10.12989/gae.2015.9.2.125
  33. Tan, Y., Guo, D. and Xu, B. (2015), "A geospatial information quantity model for regional landslide risk assessment", Natural Hazards, 79(2), 1385-1398. https://doi.org/10.1007/s11069-015-1909-1
  34. Tavakoli, H.R., Talebzade Amiri, M., Abdollahzade, G. and Janalizade, A. (2016), "Site effect microzonation of Babol, Iran", Geomech. Eng., Int. J., 11(6), 821-845. https://doi.org/10.12989/gae.2016.11.6.821
  35. Xie, M., Esaki, T. and Cai, M. (2006), "GIS-based implementation of three-dimensional limit equilibrium approach of slope stability", J. Geotech. Geoenviron. Eng., 132(5), 656-660. https://doi.org/10.1061/(ASCE)1090-0241(2006)132:5(656)
  36. Yoo, C. (2016), "Effect of spatial characteristics of a weak zone on tunnel deformation behavior", Geomech. Eng., Int. J., 11(1), 41-58. https://doi.org/10.12989/gae.2016.11.1.041
  37. Zhang, L.M. and Dasaka, S.M. (2010), "Uncertainties in geologic profiles versus variability in pile founding depth", J. Geotech. Geoenviron. Eng. ASCE, 136(11), 1475-1488. https://doi.org/10.1061/(ASCE)GT.1943-5606.0000364