Geophysical constraints on the Luhoi (Tanzania) geothermal conceptual model

Armadillo, Egidio; Rizzello, Daniele; Pasqua, Claudio; Pisani, Paolo; Ghirotto, Alessandro; Kabaka, Kato; Mnjokava, Taramaeli; Mwano, J.; Didas, Makoye; Lucas, Tumbu

doi:10.1016/j.geothermics.2020.101875

Cited by 15 publications

(12 citation statements)

References 46 publications

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“…Automatization is a continuous challenge in modern cartography (Msabi and Makonyo 2021;Klaučo et al 2013aKlaučo et al , 2013bMuthoni et al 2020). The importance of the effective mapping for environmental and geologic science is shown in relevant literature (Alphayo and Sharma 2018; Kempen et al 2019;Ijumulana et al 2020;Armadillo et al 2020). Automated cartographic methods are demonstrated in this paper by scripting languages GMT and R used for console-based mapping of Tanzania.…”

Section: Discussionmentioning

confidence: 91%

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Tanzania Craton, Serengeti Plain and Eastern Rift Valley: mapping of geospatial data by scripting techniques

Lemenkova¹

2022

EJES

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Cartographic visualization is a key means for the analysis of the Earth's environmental processes. In view of the rapidly increasing multi-source data, cartographic approaches are updated accordingly. Mapping of countries characterized by complex geologic settings, such as Tanzania, requires implementation of advanced approaches. Cartographic solutions for the best visualization aim to provide elaborate content in an understandable and interoperable way in multi-disciplinary studies. This study presents such an approach by using Generic Mapping Tools (GMT), R and QGIS for cartographic mapping of Tanzania, with five maps addressing the natural setting (geology, topography, geophysics) and four maps showing the geomorphometric analysis. The 2D maps and the 3D mesh model were made by the traditional Geographic Information System (GIS) and scripting approaches. The features of the geomorphometric maps (slope, aspect, hillshade, elevation) were plotted by means of R. The technical methods are illustrated by the example of scripts. The paper contributes to the regional studies of Tanzania.

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Section: Discussionmentioning

confidence: 91%

“…Background information on the cartographic data on Tanzania has revealed the lack of scripting approaches (Berry and Hellen 1972;Bosworth and Strecker 1997;Delvaux 2001;Collins et al 2004;Fritz et al 2005). Scripting is, nevertheless, a useful technique enabling to repeat workflow, shorten time and increase automation of data processing.…”

Section: Introductionmentioning

confidence: 99%

Tanzania Craton, Serengeti Plain and Eastern Rift Valley: mapping of geospatial data by scripting techniques

Lemenkova¹

2022

EJES

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“…During these tests, we have generated a huge number of magnetic scenarios in two different ways and purposes, namely (a) to investigate possible irregularities in magnetic anomaly computation for random‐changing polygon numbers and geometries, and (b) to evaluate the utilization of the algorithms in realistic geological/tectonic contexts like that presented in Armadillo et al. (2020). In all cases, the three algorithms have behaved in the same manner without criticality, computing in all the sampled scenarios the same magnetic anomaly response.…”

Section: Discussionmentioning

confidence: 99%

“…In addition, we have revealed and fixed some inaccuracies in Kravchinsky et al (2019), that are: (a) the order of calculation around the polygon sides, (b) the use of the cosine theorem formula, and (c) the projection of V and H along the Earth magnetic field vector, leading in case (b) often immediate termination of the algorithm during the numerical tests. During these tests, we have generated a huge number of magnetic scenarios in two different ways and purposes, namely (a) to investigate possible irregularities in magnetic anomaly computation for random-changing polygon numbers and geometries, and (b) to evaluate the utilization of the algorithms in realistic geological/tectonic contexts like that presented in Armadillo et al (2020). In all cases, the three algorithms have behaved in the same manner without criticality, computing in all the sampled scenarios the same magnetic anomaly response.…”

Section: Discussionmentioning

confidence: 99%

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Magnetic Anomalies Caused by 2D Polygonal Structures With Uniform Arbitrary Polarization: New Insights From Analytical/Numerical Comparison Among Available Algorithm Formulations

Ghirotto

Zunino

Armadillo

et al. 2021

Geophysical Research Letters

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Since the '60s of the last century, the calculation of the magnetic anomalies caused by 2D uniformly polarized bodies with polygonal cross‐section has been mainly performed using the popular algorithm of Talwani and Heirtzler (1962, 1964). Recently, Kravchinsky et al. (2019, https://doi.org/10.1029/2019GL082767) claimed errors in the above algorithm formulation, proposing new corrective formulas and questioning the effectiveness of almost 60 years of magnetic calculations. Here we show that the two approaches are equivalent and Kravchinsky et al.'s formulas simply represent an algebraic variant of those of Talwani and Heirtzler. Moreover, we analyze a large amount of random magnetic scenarios, involving both changing‐shape polygons and a realistic geological model, showing a complete agreement among the magnetic responses of the two discussed algorithms and the one proposed by Won and Bevis (1987, https://doi.org/10.1190/1.1442298). We release the source code of the algorithms in Julia and Python languages.

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Magnetic anomalies caused by 2D polygonal structures with uniform arbitrary polarization: new insights from analytical/numerical comparison among available algorithm formulations

Ghirotto¹,

Zunino

Armadillo³

et al. 2020

Preprint

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Modeling of magnetic anomalies is a fundamental tool in exploration geophysics. Since the appearance of early electronic computers, calculation of the magnetic field from models of the subsurface and the related inverse problem have played a major role in the geological interpretation of magnetic anomalies.An early mathematical formulation for anomalies due to 2D polygonal structures of uniform polarization is found in Talwani and Heirtzler (1962, 1964). Their algorithm remains the most used and cited to date. Thanks to its wide applicability, Talwani and Heirtzler's approach has become popular, both for expeditious interpretation of magnetic data and as a forward engine for inverse methods. Moreover, the aforementioned 2D formulation can be extended to 3D bodies (Plouff 1975(Plouff , 1976Talwani, 1965). More recently, Won and Bevis (1987) proposed an evolution of the original formulation by Talwani and Heirtzler which avoids the use of trigonometric functions, achieving a speed up of the calculation of magnetic anomaly.

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Geophysical constraints on the Luhoi (Tanzania) geothermal conceptual model

Cited by 15 publications

References 46 publications

Tanzania Craton, Serengeti Plain and Eastern Rift Valley: mapping of geospatial data by scripting techniques

Tanzania Craton, Serengeti Plain and Eastern Rift Valley: mapping of geospatial data by scripting techniques

Magnetic Anomalies Caused by 2D Polygonal Structures With Uniform Arbitrary Polarization: New Insights From Analytical/Numerical Comparison Among Available Algorithm Formulations

Magnetic anomalies caused by 2D polygonal structures with uniform arbitrary polarization: new insights from analytical/numerical comparison among available algorithm formulations

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