Contribution of Python-based BERT software for landslide monitoring using Electrical Resistivity Tomography datasets. A case study in Tghat-Fez (Morocco).

The electrical resistivity tomography (ERT) technique was conducted for the geophysical survey of a landslide on the southern slope of Jbel Tghat, north of the city of Fez, Morocco. Nine electrical resistivity tomography profiles were implemented to: (a) characterize the geometry of the dipping zone; (b) characterize their internal structures; and (c) highlight the faulting zone between the marly deposits and the conglomerate formation. The measured data sets were processed using EarthImager™ 2D (Advanced Geosciences, Inc), and BERT (Boundless Electrical Resistivity Tomography) software packages that offer a simple workflow from data import to inversion and visualization, while offering full control over inversion parameters. Moreover, BERT software is a Python-based open-source inversion software package. Both ERT processing software allows obtaining 2D subsurface electrical models associated with the distribution of the subsurface apparent electrical resistivity property, in Ohm.m units. Those 2D subsurface electrical models are retrieved using the same inversion parameters to determine the distribution of geoelectric layers and their defining parameters (e.g., electrical resistivity, thickness, and depth), giving access to certain characteristics exclusive to one of the two processing techniques, comparing the inversion findings to better understand the process's limits, as well as evaluating the capabilities of the two inversion methods.

Electrical resistivity tomography (ERT) and geochemical analysis dataset to delimit subsurface affected areas by livestock pig slurry ponds.

The electrical resistivity tomography (ERT) technique was employed with the support of geochemical analyses to delimit the affected surface area by slurry pig ponds. Data were taken in three selected slurry ponds located in Fuente Álamo municipality, Murcia region (SE Spain), to obtain electrical resistivity value-based 2D sections and 3D blocks. All ERT-based survey data were obtained in September 2020 using a SuperSting R8 resistivity meter from Advanced Geosciences Inc. and using the dipole-dipole array consisting of a total of twenty-eight electrodes. The soil samples were taken from drilling core sampling by boreholes at each slurry pond, and physical-chemical analyses of soil samples were obtained using standard laboratory testing methods. Electrical resistivity values and physical-chemical analysis data obtained from soil samples were contrasted, whose comparison showed a correlation between profiles-based electrical resistivity, laboratory-based electrical conductivity (EC) data, and nitrate (N-NO3-) content from soil samples. The statistical analysis was run by SPSS Statistics v.23 software (IBM, Neconductivity York, NY, USA) to establish the non-parametric Spearman correlation. The dataset establishes a reliable methodology and provides insight and information to delimit the affected subsurface area by pig slurry. Data contained within this publication are presented concurrently with Capa-Camacho et al. 2022 [1].

PyNomo software dataset for sciences and engineering nomogram construction.

This article examines different python-based codes to be run under PyNomo nomographer software to represent alignment charts or nomograms for formulas commonly used in sciences and engineering studies. PyNomo nomographer supports nine basic types of nomograms based on the format of the mathematical equation. The examined PyNomo codes cover the construction of the following types of nomogram: type 1, type 2, type 7, type 8, type 9, and type 10. Each PyNomo script includes some background and the underlying mathematics for the nomogram construction and how to implement each code into PyNomo software. Potential users can use these PyNomo codes, as template scripts, to customize and construct their own nomograms for a variety of technical applications. That is especially true since a considerable number of science and engineering equations fall into one of these covered nomogram types depending on the equation form involved.

Nomography: A renewed pedagogical tool to sciences and engineering high-education studies.

Nomography is defined as a branch of mathematics in which methods of graphical representation of functional dependencies are studied. The resulting graphs are called nomograms, alignment charts, or abacs. Along the past century, this science branch experienced extensive development and use in many contexts to support scientists and engineers with accurate and fast calculations of complex formulas to a practical precision. However, nomography declined by the end of the twentieth century with the development and popularisation of more capable and powerful personal computers and handheld calculators. Despite this context, nomography remains attractive due to its potential for rapid and accurate graphical calculations contributing to a better understanding of complex formulas. Thus, this work defines the alignment charts and their capabilities to justify their importance as graphical tools in sciences and engineering studies. Also, PyNomo software is introduced to build vector-based and scalable nomograms. Then, this work emphasizes the importance of including nomography as a valuable and renewed computational tool, in conjunction with PyNomo software, in an academic context. In line with that, several nomograms, which have been obtained with PyNomo software, are examined to grasp the true importance of this science branch and its capabilities in an educational context.

Enhancing Electrical Contact with a Commercial Polymer for Electrical Resistivity Tomography on Archaeological Sites: A Case Study.

This communication reports an improvement of the quality of the electrical data obtained from the application of electrical resistivity tomography method on archaeological studies. The electrical contact between ground and electrode enhances significantly by using carbomer-based gel during the electrical resistivity tomography measurements. Not only does the gel promote the conservation of the building surface under investigation, but it also virtually eliminates the necessity of conventional spike electrodes, which in many archaeological studies are inadequate or not permitted. Results evidenced an enhancement in the quality of the electrical data obtained in the order of thousands of units compared with those without using the carbomer-based gel. The potential and capabilities of this affordable gel make it appropriate to be applied to other geoelectrical studies beyond archaeological investigations. Moreover, it might solve corrosion issues on conventional spike electrodes, and electrical multicore cables usually provoked for added saltwater attempting to improve the electrical contact.