Spatial Interpolation Applied a Crustal Thickness in Brazil

Abstract

The use of spatial interpolation methods of data is becoming increasingly common in geophysical analysis, for that reason, currently, several software already contain many of these methods, allowing more detailed studies. In the present work four interpolation methods are evaluated, for the crustal thickness data of Brazil tectonic provinces, with the intention of making Moho’s map of the regions. The methods used were IDW, Natural Neighbor, Spline and Kriging. We compiled 257 data that constituted a geographic database implemented in the template Postgree PostGIS and were processed using the tools of interpolation located in the Spatyal Analyst Tools program ArcGIS®9 ESRI. Traditional methods, IDW, Natural Neighbor and Spline, generate artifacts in their results, the effects of aim, not consistent with the behavior of crust. Such anomalies are generated because of mathematical formulation methods added to data compiled gravimetry. The analysis results of geostatistical Kriging are more refined and consistent, showing no specific anormalities, i.e., the crustal thickness variation (thinning and thickening) is introduced gradually. Initial our estimates were separated in four specific blocks. With the approval of new networks (BRASIS, RSISNE and RSIS), the crustal thickness database for Brazil may be amended or supplemented so that new models may be generated more consistently, complementing studies of regional tectonics evolution and seismicity

Crustal framework of the northwest Paraná Basin, Brazil: Insights from joint modeling of magnetic and gravity data

“…given by the analysis of receiver function data compiled by Pavão et al (2012). This section clearly shows crustal thickness increasing eastward, where it reaches a depth of 44 km.…”

“…Regionally, the NE-SW trending zone between Amazonian and São Francisco paleoplates (Figure 1), in agreement with the main trend of TBL, is characterized by thinner lithosphere compared to adjacent terranes (Rocha et al, 2011;Azevedo et al, 2015), which may explain high intraplate seismicity along this direction (Assumpção and Sacek, 2013). Pavão et al (2012) and compiled crustal thickness values obtained with receiver-function analysis and seismic-refraction data and showed that the area of the TBL, within the northern portion of Paraná Basin, is characterized by thinned crust ranging from 31 to 36 km thick. Crust thickens southeastward toward the center of the basin, where it reaches thicknesses of between 40 and 46 km ( Figure 1).…”

“…Our previous work with matched-filter analyses of magnetic data (Curto et al, 2014) also indicated abrupt differences of crustal depths and composition between different tectonic domains. To the north, a thinner crust is recorded in the Goiás Magmatic Arc (Figure 1, Soares et al, 2006;Pavão et al, 2012;.…”

Crustal thickness map of Brazil: Data compilation and main features

“…We built on previous compilations for South America (229 point constraints from Feng et al (2007), 244 from Lloyd et al (2010), and 183 from Tassara and Echaurren (2012), and 200 from Pavão et al (2012)) and increased the combined set of point constraints with additional data from published papers, congress proceedings, and theses, as well as unpublished monographs. We used basically two types of data: active source experiments (deep seismic refraction lines, or deep seismic reflection surveys) and receiver functions (see Fig.…”

Aplicação do diagrama de Taylor para avaliação de interpoladores espaciais em atributos de solo em cultivo com eucalipto

“…A demonstração e comparação de resultados em formas de tabelas e figuras complexas têm sido a apresentação mais comum entre muitos autores (BABAK; DEUTSCH, 2009;OMRAN, 2012;PAVÃO et al, 2012). ), no caso de análise geoestatística nos trabalhos de Lima et al (2008) e Sanchez et al (2012) até análises usando a média, o desvio-padrão, a raiz quadrada do erro médio quadrático (RMSE) e o coeficiente de correlação (AMORIM et al, 2008;MCROBERTS, 2012).…”