Spatial variability analysis of subsurface soil in Mashhad city, NE Iran

Reliable characterization of subsurface soil in urban areas is a major concern in geotechnical and geological engineering projects. In this regard, this research deals with development of a 3D geological engineering model on Mashhad City soil using Sequential Gaussian Simulation (SGS) approach. The...

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Main Authors: Sepideh Nasseh, Naser Hafezi Moghaddas, Mohammad Ghafoori, Omid Asghari, Jafar Bolouri Bazaz
Format: Article
Language:English
Published: University of Tehran 2016-12-01
Series:International Journal of Mining and Geo-Engineering
Subjects:
Online Access:http://ijmge.ut.ac.ir/article_59832_efecdf1bf4ae930a6a18639dc252b5c6.pdf
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spelling doaj-4452d2209869403798f554590f74c5ab2020-11-25T00:45:36ZengUniversity of TehranInternational Journal of Mining and Geo-Engineering2345-69302345-69492016-12-0150221922910.22059/ijmge.2016.5983259832Spatial variability analysis of subsurface soil in Mashhad city, NE IranSepideh Nasseh0Naser Hafezi Moghaddas1Mohammad Ghafoori2Omid Asghari3Jafar Bolouri Bazaz4Department of Geology, Ferdowsi University of Mashhad, IranDepartment of Geology, Ferdowsi University of Mashhad, IranDepartment of Geology, Ferdowsi University of Mashhad, IranSimulation and Data Processing Laboratory, Department of Mining Engineering, University of Tehran, IranDepartment of Civil Engineering, Ferdowsi University of Mashhad, IranReliable characterization of subsurface soil in urban areas is a major concern in geotechnical and geological engineering projects. In this regard, this research deals with development of a 3D geological engineering model on Mashhad City soil using Sequential Gaussian Simulation (SGS) approach. The intense variability of soil in the study area has sometimes caused serious problems in civil engineering projects in the city. Therefore, a better understanding of these deposits is critical for current and future civil engineering work. The main objectives of this study were investigating the spatial variability of soil through variograms and then predicting the values of soil properties at unsampled locations using SGS method. In this study, some geotechnical index parameters including percentage of fine grained material, plasticity index, and liquid limit have been employed as input data. A database including the data of 1750 boreholes was built and the hard data were transformed into normal scores in order for them to be applicable as input data in SGS modeling. Maps related to the average of all realizations along with Coefficient of Variation (CV) were provided for each variable as well. Then the maps were interpreted according to Mashhad City sedimentary environment.http://ijmge.ut.ac.ir/article_59832_efecdf1bf4ae930a6a18639dc252b5c6.pdfSubsurface soil3D modelingSequential Gaussian Simulation (SGS)sedimentary environment
collection DOAJ
language English
format Article
sources DOAJ
author Sepideh Nasseh
Naser Hafezi Moghaddas
Mohammad Ghafoori
Omid Asghari
Jafar Bolouri Bazaz
spellingShingle Sepideh Nasseh
Naser Hafezi Moghaddas
Mohammad Ghafoori
Omid Asghari
Jafar Bolouri Bazaz
Spatial variability analysis of subsurface soil in Mashhad city, NE Iran
International Journal of Mining and Geo-Engineering
Subsurface soil
3D modeling
Sequential Gaussian Simulation (SGS)
sedimentary environment
author_facet Sepideh Nasseh
Naser Hafezi Moghaddas
Mohammad Ghafoori
Omid Asghari
Jafar Bolouri Bazaz
author_sort Sepideh Nasseh
title Spatial variability analysis of subsurface soil in Mashhad city, NE Iran
title_short Spatial variability analysis of subsurface soil in Mashhad city, NE Iran
title_full Spatial variability analysis of subsurface soil in Mashhad city, NE Iran
title_fullStr Spatial variability analysis of subsurface soil in Mashhad city, NE Iran
title_full_unstemmed Spatial variability analysis of subsurface soil in Mashhad city, NE Iran
title_sort spatial variability analysis of subsurface soil in mashhad city, ne iran
publisher University of Tehran
series International Journal of Mining and Geo-Engineering
issn 2345-6930
2345-6949
publishDate 2016-12-01
description Reliable characterization of subsurface soil in urban areas is a major concern in geotechnical and geological engineering projects. In this regard, this research deals with development of a 3D geological engineering model on Mashhad City soil using Sequential Gaussian Simulation (SGS) approach. The intense variability of soil in the study area has sometimes caused serious problems in civil engineering projects in the city. Therefore, a better understanding of these deposits is critical for current and future civil engineering work. The main objectives of this study were investigating the spatial variability of soil through variograms and then predicting the values of soil properties at unsampled locations using SGS method. In this study, some geotechnical index parameters including percentage of fine grained material, plasticity index, and liquid limit have been employed as input data. A database including the data of 1750 boreholes was built and the hard data were transformed into normal scores in order for them to be applicable as input data in SGS modeling. Maps related to the average of all realizations along with Coefficient of Variation (CV) were provided for each variable as well. Then the maps were interpreted according to Mashhad City sedimentary environment.
topic Subsurface soil
3D modeling
Sequential Gaussian Simulation (SGS)
sedimentary environment
url http://ijmge.ut.ac.ir/article_59832_efecdf1bf4ae930a6a18639dc252b5c6.pdf
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AT mohammadghafoori spatialvariabilityanalysisofsubsurfacesoilinmashhadcityneiran
AT omidasghari spatialvariabilityanalysisofsubsurfacesoilinmashhadcityneiran
AT jafarbolouribazaz spatialvariabilityanalysisofsubsurfacesoilinmashhadcityneiran
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