Non-Destructive Techniques for Building Evaluation in Urban Areas: The Case Study of the Redesigning Project of Eleftheria Square (Nicosia, Cyprus)
Abstract
:1. Introduction
- Delineation of the geological stratigraphy of the soil proving the absence of cavities or archaeological structures in function of the construction of the underground car parking along Amirou Avenue in 2009 (Survey 3 in Figure 2).
- Detection of underground utilities with the aim to facilitate technicians’ work during excavation and avoid unexpected damages to city supplies along Amirou Avenue in 2017 (Survey 4 in Figure 2).
- Comprehension of the reason for an abundant flow of water that occurred inside the new underground electrical substation positioned under the new Eleftheria Square during excavations at the intersection of Evagorou Avenue and Omirou Avenue in 2009 (Survey 5 in Figure 2). The most reliable hypothesis of the cause of this phenomenon was thought to be the failure of water pipes south of Evagorou Avenue.
2. Case Study
- Social rehabilitation of old residential quarters, community development and population increase;
- Economic revitalization and increase of employment activities;
- Restoration of monuments and buildings, preserving culture heritage and increasing the potential tourism attraction;
- Overall urban planning for a harmonic and balanced development of different sectors of the historic center.
3. Methodological Approach, Data Acquisition and Processing
- Analysis of the needs of the investigation in collaboration with the technicians involved in the project, taking into consideration the typology of searched targets (archaeological remains, underground utilities, geological layers, cavities, water), their supposed depth (from centimeters to tens of meters), their constitutive material (stones, landfills, metal, plastic, fluids), their physical properties (density, conductivity, susceptibility) and their geometry (punctual targets, stretched objects, layers).
- Evaluation of the geological stratigraphy of the area. It is composed by anthropogenic soils and fluvial deposits of different thickness overlying deep marl and sandy marl of the Nicosia Formation [56].
- Evaluation of the environmental noise of the study area considering the presence of metals, buried iron grids, anthropic buried artifacts and the occurrence of recent mechanical interventions.
- Analysis of the typology of surfaces on which to operate (asphalt, concrete, paved areas, land) and the spaces available to work in.
- Consideration of the differences in the operating principles and the applicability of the various geophysical survey techniques, taking into account the previous points.
- Choice of the proper method that is suitable for solving the goal of the research. ERT, EMI and GPR were preferred over other methods. ERT, although having slower acquisition times and a small invasiveness due to the insertion of electrodes in the surfaces, was applied during surveys 1, 2 and 3 in order to obtain a good compromise between depth of investigation and resolution of results, features not achievable with EMI, GPR, seismic, magnetic and gravity methods. In addition, the presence of metals, energy lines and buried grids under paved surfaces during surveys 1 and 2 excluded the use of the expeditious technique such as the magnetic method and the GPR that have an extreme sensitivity to these environmental noises. GPR was used during survey 4 and 5 with the aim to produce high-resolution maps of shallow targets such as buried pipelines. Other methods, in this urban context, would not have led to a proper representation of them. EMI prospections were applied during survey 5 as they are very suitable for the identification of high conductivity bodies in a fast way as required by the research question.
- Choice of the geophysical instruments to use during data acquisition. ERT was carried out using a multi-electrode resistivity meter, the A3000E (M.A.E. s.r.l., Frosolone, Italy). GPR was implemented through an IDS Georadar (IDS GeoRadar s.r.l., Pisa, Italy), equipped with a multi-frequency TRMF antenna (200–600 MHz), and a MALA X3M Ramac Georadar (Guideline Geo AB, Skolgatan, Sweden), equipped with a shielded 500 MHz antenna frequency. EMI prospections were conducted utilizing the GSSI Profiler EMP-400 [57].
- Definition of the parameters of acquisition taking into consideration the required depth of investigation and the resolution required by the research question. For ERT, profiles had different lengths, taking into account the available spaces in the different survey areas and the electrode spacing was in any case set to 1.2 m. Regarding archaeological prospections, the selected electrode spacing has been considered proper to reach supposed large deep walls. A dipole-dipole (DD) configuration was used. For GPR investigation in both cases, all radar reflections were recorded digitally in the field as 16-bit data, 512 (for IDS) and 628 (for MALA) samples per radar scan at 25 scan s−1 for IDS (1 scan approximately corresponds to 0.025 m) and 24 scan s-1 for MALA (1 scan approximately corresponds to 0.024 m). Half meter equally spaced GPR profiles were acquired in grids adapted to the available areas. EMI measurements were collected in stationary (point-to-point) mode using frequencies in the range 5–16 kHz with vertically oriented dipoles. The investigation area was covered by profiles spaced 0.5 m inserted in a regular grid.
- Choice of the techniques of data processing for the selected methodologies:
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- For ERT, the measured apparent resistivity datasets were processed in order to remove dragging effects that are typical of DD array and model the survey targets converting the values in real electrical resistivity values displayed as a function of depth below surface. To this end, a probability tomography approach has been applied for imaging the sources of anomalies into the analyzed grounds. The theory was first stated for the self-potential method [58], and then adapted to the resistivity method [59,60,61]. The primary approach, even if capable of distinguishing resistivity highs and lows in the field datasets considering a reference background resistivity, precluded the estimate of the intrinsic resistivities of the source bodies. The method was successfully used to delineate the geometry of the self-potential sources in the central volcanic area of Vesuvius (Naples, Italy) [62], to imaging through the resistivity method buried archaeological structures in the archeological site of Pompei (Naples, Italy) [63], at the Castle of Zena (Carpeneto Piacentino, Italy) [64], the prehistoric sites of Checua (Cundinamarca, Colombia) [65] and Grotta Reali (Rocchetta a Volturno, Italy) [66], the Archaeological Park of Aeclanum [67] and for fault detection in a site on the Matese Mountain (Italy) [3]. Successively, a data-adaptive probability-based ERT inversion (PERTI) method [51] was directly derived from the principles of the probability tomography in order to estimate the true resistivities. From a probabilistic point of view, the algorithm, being a non-linear approach, identifies, inside the set of possible solutions the most probable one, compatibly with the dataset acquisition scheme. The main features of the PERTI method, as reported in [51] are: (i) unnecessity of a priori information; (ii) full, unconstrained adaptability to any kind of dataset, including the case of non-flat topography; (iii) drastic reduction of computing time of even two orders of magnitude, with respect to the previous methods in complex 3D cases using the same computer; (iv) real-time inversion directly in the field, thus allowing for fast modifications of the survey plan to better focus the expected targets; (v) full independence from data acquisition techniques and spatial regularity, (vi) possibility to be used as an optimum starting model in standard iterative inversion processes in order to speed up convergence. As the PERTI method does not require a priori information and iterative processes, the computation of the route mean square (RMS) error between measured and modelled apparent resistivity values is useless. In fact, the resulting RMS error, whatever it is, can be lowered within the PERTI scheme. Many applications of the PERTI approach in near surface prospections are available in literature for solving archaeological research questions [49,68,69,70,71], for defining faults in Crete [72] and for imaging of the near-surface structure of the Solfatara crater, Campi Flegrei (Naples, Italy) [73]. In [49,51,68,72] the PERTI routine was tested using well-known commercial software of inversion of geoelectrical data and the comparison put in evidence for the coherence between the obtained results and the better filter capacity and great versatility of the PERTI algorithm. Here, for the first time, the method is applied to process field datasets acquired in urban environments, as its main features fit perfectly with the needs of the case study presented.
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- For GPR, as the interpretation of each section can lead to underestimation or overestimation of the reflected signals and makes it not easy to identify the effect of lateral bodies present in the subsoil, all sections were processed together using standard methodological approaches in order to obtain 2D horizontal maps at a different range of depth (GPR-SLICE 7.0 software) [74]. Data were converted by subtracting out the dc-drift (wobble) in the data, and at the same time adding a gain with time of 20. A time-zero correction was determined to designate the starting point of the wave and the center frequency of the antenna was matched. Then the bandpass filter and the background removal were respectively applied to reduce noise from oscillating components that had a regular frequency cycle in the frequency domain and to remove striation noises that occurred at the same time. Processed radargrams were subsequently corrected with an automatic gain function applied to each trace based on the difference between the mean amplitude of the signal in the time window and the maximum amplitude of the trace. Thus, horizontal sections (time slices) were processed considering the whole dataset. Data were gridded using the inverse distance algorithm, which includes a search of all data within a fixed radius of 0.75 m of the desired point to be interpolated on the grid and a smoothing factor of two. Grid cell size was set to 0.01 m to produce high resolution images.
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- For EMI, during data elaboration the measured values of conductivity were transformed in values of resistivity and visualized in 2D maps through a contouring software.
4. Results
4.1. Survey 1
4.2. Survey 2
4.3. Surveys 3–4
4.4. Survey 5
5. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Cozzolino, M.; Gentile, V.; Mauriello, P.; Peditrou, A. Non-Destructive Techniques for Building Evaluation in Urban Areas: The Case Study of the Redesigning Project of Eleftheria Square (Nicosia, Cyprus). Appl. Sci. 2020, 10, 4296. https://doi.org/10.3390/app10124296
Cozzolino M, Gentile V, Mauriello P, Peditrou A. Non-Destructive Techniques for Building Evaluation in Urban Areas: The Case Study of the Redesigning Project of Eleftheria Square (Nicosia, Cyprus). Applied Sciences. 2020; 10(12):4296. https://doi.org/10.3390/app10124296
Chicago/Turabian StyleCozzolino, Marilena, Vincenzo Gentile, Paolo Mauriello, and Agni Peditrou. 2020. "Non-Destructive Techniques for Building Evaluation in Urban Areas: The Case Study of the Redesigning Project of Eleftheria Square (Nicosia, Cyprus)" Applied Sciences 10, no. 12: 4296. https://doi.org/10.3390/app10124296
APA StyleCozzolino, M., Gentile, V., Mauriello, P., & Peditrou, A. (2020). Non-Destructive Techniques for Building Evaluation in Urban Areas: The Case Study of the Redesigning Project of Eleftheria Square (Nicosia, Cyprus). Applied Sciences, 10(12), 4296. https://doi.org/10.3390/app10124296