Abstract

The article addresses the application of electrical resistivity imaging for engineering site investigation in Pishva Hospital, Varamin, Iran. Some aqueduct shafts exist in the study area backfilled by loose materials. The goals of this study are to detect probable aqueduct tunnels and their depth, investigate filling quality in the shafts as well as connection(s) between them. Therefore, three profiles were surveyed by dipoledipole electrode array. Also, to investigate the potentially anomalous areas more accurately, five additional resistivity profiles were measured by a Combined Resistivity Sounding-Profiling array (CRSP). According to the results of 2-D inversion modelling, a main aqueduct tunnel was detected beneath the central part of the site. Finally, the resistivity pattern of the detected aqueduct system passing the investigated area was provided using the obtained results.

Highlights

  • Civil engineering projects are usually dealing with geological and geotechnical problems

  • From the inverted resistivity images, three resistivity layers were overall distinguished, which are more or less coincided with geological layers in the area: a surficial resistivity layer of 4570 ohm-m consisting top soils and loose materials and having a thicknesses of 2-5 m; an intermediate resistivity layer of 15-40 ohm-m is inferred to be fine grained alluviums with an average thickness of 12-13 m; and a deeper third resistivity layer of 5-15 ohm-m that seems to relate to the basal silty layer

  • Our results indicate that the conducted method could detect the objectives with an acceptable precision

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Summary

Introduction

Civil engineering projects are usually dealing with geological and geotechnical problems. Conducting these projects in urban areas has several critical and special problems (Dindarloo and Siami-Irdemoosa 2015, Fang et al 2016). Underground cavities, wells, aqueducts and other obsolete man-made underground structures which may be buried or in the near future are among the most crucial geotechnical and geological problems in urban areas (Fig. 1). Various methods have been used to study the abovementioned phenomena. Geophysical methods are considered as the fastest and most affordable of them (Benson 1995, Burger 1992, Cosenza et al 2006, Gautam et al 2000)

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