A New Geologic Map of the Bathurst Mining Camp and Surrounding Areas—A Product of Integrated Geological, Geochemical, and Geophysical Data

2003 ◽  
Author(s):  
C. R. van Staal ◽  
R. A. Wilson ◽  
N. Rogers ◽  
L. R. Fyffe ◽  
S. J. Gower ◽  
...  
Keyword(s):  
Geophysical Data ◽  
Geologic Map ◽  
Bathurst Mining Camp ◽  
Surrounding Areas

Semiautomated geologic mapping using self-organizing maps and airborne geophysics in the Brazilian Amazon

Geophysics ◽  
2012 ◽  
Vol 77 (4) ◽  
pp. K17-K24 ◽  
Author(s):  
Cleyton de Carvalho Carneiro ◽  
Stephen James Fraser ◽  
Alvaro Penteado Crósta ◽  
Adalene Moreira Silva ◽  
Carlos Eduardo de Mesquita Barros
Keyword(s):  
Gamma Ray ◽  
Gold Mineralization ◽  
Brazilian Amazon ◽  
Geophysical Data ◽  
Self Organizing Map ◽  
Self Organizing Maps ◽  
Spectrometric Data ◽  
Rock Types ◽  
Geologic Map ◽  
Self Organizing

A self-organizing map (SOM) approach has been used to provide an integrated spatial analysis and classification of airborne geophysical data collected over the Brazilian Amazon. Magnetic and gamma ray spectrometric data were used to extract geophysical signatures related to the spatial distribution of rock types and to produce a geologic map over the prospective Anapu-Tuerê region. Particular emphasis was given to discriminating and identifying rock types, and the processes related to gold mineralization, which are known to occur in the Anapu-Tuerê region. SOM was able to identify and map distinctive geophysical signatures related to the various geologic units identified on the published geologic map. Furthermore, SOM was able to identify and enhance very subtle signatures derived jointly from the magnetic and gamma ray spectrometric data that could be related to geologic processes present in the area. These results demonstrate the effectiveness of using SOM as a tool for geophysical data analysis and for semiautomated mapping in regions such as the Amazon.

Multivariate statistical analysis of geophysical data in Nevada

Geophysics ◽  
1993 ◽  
Vol 58 (5) ◽  
pp. 749-755 ◽  
Author(s):  
Uzi Vulkan ◽  
Joseph S. Duval
Keyword(s):  
Gamma Ray ◽  
The State ◽  
Geophysical Data ◽  
Rift System ◽  
Optimum Number ◽  
Multivariate Statistical ◽  
Change Of Direction ◽  
Northern Nevada ◽  
Northern Border ◽  
Geologic Map

Regional magnetic, gravity, and gamma‐ray data in Nevada were analyzed using a multivariate statistical method. The algorithms used are part of the public‐domain Geographical Resource Analysis Support System (GRASS). Twenty‐seven statistical groups (clusters) were found to be the optimum number that best represents the geophysical data. The resulting map of the distribution of these groups shows linear features which define a geophysical trend not previously recognized. This trend is clearly related to the northern Nevada rift and extends from near the northern border of Nevada to the southern part of the State with a northwest‐southeast trend to about 37°N latitude, where a change of direction occurs to a northeast‐southwest trend. Although not spatially coincident, the Roberts Mountains Thrust, the Golconda Thrust, and the 0.706 contour of the [Formula: see text] ratio exhibit similar trends over part of their lengths. The significance of this geophysical trend is uncertain. One possible interpretation is that it corresponds to the central graben of a rift system larger than previously postulated. The classified data were also compared to a digital geologic map, and the results show that, for some areas of the state, mapped geology and specific groups do have a clear relationship. In general, however, mapped geologic units and the groups have no unique relationships.

scholarly journals Geologic map of Detrital, Hualapai, and Sacramento Valleys and surrounding areas, northwest Arizona

2011 ◽  
Author(s):  
L. Sue Beard ◽  
Jeffrey Kennedy ◽  
Margot Truini ◽  
Tracey Felger
Keyword(s):  
Geologic Map ◽  
Surrounding Areas

scholarly journals MAPEAMENTO GEOLÓGICO DA REGIÃO DE GOUVEIA / MG COM AUXÍLIO DE MÉTODOS GEOFÍSICOS

2013 ◽  
Author(s):  
Paulo Roberto Antunes Aranha ◽  
Rodrigo Macedo Pena ◽  
Luiz Guilherme Knauer
Keyword(s):  
Ground Penetrating Radar ◽  
Minas Gerais ◽  
Geophysical Data ◽  
Igneous Rocks ◽  
A Value ◽  
Minas Gerais State ◽  
Geologic Map ◽  
Ground Penetrating

Na região da cidade de Gouveia, Serra do Espinhaço, Minas Gerais, devido a escassez de afloramentos, foramutilizados métodos geofísicos de cintilometria e Georadar buscando-se desenvolver um critério geofísicona individualização das litologias não-aflorantes presentes na área, mesmo com a presença de milonitos eforte intemperismo. Os dados geofísicos foram analisados separadamente para cada perfil obtido, e um valorem torno de 185 CPS (cintilações por segundo) para rochas do Complexo de Gouveia indeformado e 80CPS para rochas da Formação Barão de Guaicuí pôde ser considerado como guia prospectivo. Ademais, asimagens da subsuperfície puderam mostrar estruturas: falhas, fraturas, presença de colúvios, etc. Nesta áreaforam identificadas quatro unidades lito-estratigráficas principais: (a) Complexo de Gouveia, representadopor granitos s.l; (b) Formação Barão do Guaicuí, representado por quartzo-sericita-xisto típico; (c) FormaçãoGalho do Miguel, representado por espessos pacotes homogêneos de quartzito esbranquiçado puro e fino,e (d) rocha metabásica representada por rochas máficas e maciças de coloração levemente esverdeadas.Destaca-se uma foliação milonítica principal, S1, de atitude dominante 095-085/40 e falhamentos regionaisde orientação geral NW/SE. Nos xistos e granitos esta foliação rotaciona e deforma grãos, podendo aparecertodos os termos miloníticos.ABSTRACT: The Gouveia region, Espinhaço Ridge, Minas Gerais State, is marked by the lack of outcrops, geophysicscintilometry and Ground Penetrating Radar methods were used in order to attach a litostratigraphicindividualization criteria, even with strong milonitization and laterization. These geophysical data wasindividually analyzed and a value of 185 CPS for indeformed Gouveia Complex and 80 CPS for Barão doGuaiuí Formation could be taken as prospect guidance. The radargrams were useful to realize the subsurfacestructure, faults, fractures, and coluvium. In this area four main litostratigraphic units was identified: (a)Gouveia Complex, represented by s.l granites (b) Barão do Guaicuí Formation, formed by typical quartzsericite-schist (c) Galho do Miguel Formation, represented by a thick, white and homogenous layer of quartziteand (d) Basic Igneous rocks, composed by mafic and massive, lightly greenly. A main milonitic foliationoccurs, S1, dipping 095-085/40 as well as regional NW / SE fractures. In the schist and granite, that foliationcauses rotation and deformation of some minerals. Milonitic rocks can also be found.Keywords: georadar, gamma survey, geologic map

scholarly journals Geology, Bathurst mining camp and surrounding areas, New Brunswick

2002 ◽  
Author(s):  
C R van Staal ◽  
R A Wilson ◽  
N Rogers ◽  
L R Fyffe ◽  
S J Gower ◽  
...  
Keyword(s):  
New Brunswick ◽  
Bathurst Mining Camp ◽  
Surrounding Areas

Đặc điểm địa chất thủy văn vùng Bắc Bình, Bình Thuận theo tài liệu địa vật lý

2018 ◽  
Vol 28 (4) ◽  
pp. 410-421
Author(s):  
Nguyễn Văn Giảng ◽  
Nguyễn Bá Duẩn ◽  
Lại Cao Khiêm ◽  
Lê Ngọc Thanh ◽  
Nguyễn Quang Dũng
Keyword(s):  
Geophysical Data ◽  
Hydrogeological Characteristics

The interpretation of geophysical data for studying hydrogeological characteristics of Bac Binh, Binh Thuan area

Statistical Analsysis to Evaluate Heavy Metal Pollution in the Air Obatained by Moss Technique in Hanoi and its Surrounding Region

2019 ◽  
Vol 29 (3SI) ◽  
pp. 411
Author(s):  
N. H. Quyet ◽  
Le Hong Khiem ◽  
V. D. Quan ◽  
T. T. T. My ◽  
M. V. Frontasieva ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Statistical Analysis ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Principal Component ◽  
Multivariate Statistical ◽  
Five Factors ◽  
Heavy Metal Elements ◽  
Surrounding Areas ◽  
Potential Pollution

The aim of this paper was the application of statistical analysis including principal component analysis to evaluate heavy metal pollution obtained by moss technique in the air of Ha Noi and its surrounding areas and to evaluate potential pollution sources. The concentrations of 33 heavy metal elements in 27 samples of Barbula Indica moss in the investigated region collected in December of 2016 in the investigated area have been examined using multivariate statistical analysis. Five factors explaining 80% of the total variance were identified and their potential sources have been discussed.

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