GPR trace analysis for coastal depositional environments of southern Brazil

Leandro, Carolina Gonçalves; Barboza, Eduardo Guimarães; Caron, Felipe; Jesus, Felipe Augusto Nascimento de

doi:10.1016/j.jappgeo.2019.01.002

Cited by 36 publications

(14 citation statements)

References 38 publications

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“…The GPR technology is quite versatile and has been consolidated since the 1980s. Currently, geoscientists have applied the GPR method in a range of approaches, such as interference mapping [12][13][14][15][16][17][18][19][20][21][22][23], natural resources exploration [24][25][26][27], environmental contamination studies [28][29][30][31], archaeological studies [32][33][34][35][36][37][38], forensic studies [39][40][41], sedimentological studies [42][43][44][45], studies of rivers and lakes [46][47][48], and so forth.…”

Section: Gpr Methodsmentioning

confidence: 99%

GPR Survey on an Iron Mining Area after the Collapse of the Tailings Dam I at the Córrego do Feijão Mine in Brumadinho-MG, Brazil

2019

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This article shows the interesting results of a pioneer effort by IAG/USP researchers to use ground-penetrating radar (GPR) for humanitarian purposes, guiding the rescue of victims in the tragedy of Brumadinho. The tailings Dam I at the Córrego do Feijão iron ore mine, located in the Brumadinho complex, Minas Gerais State, Brazil, collapsed on 25 January 2019. About 11.7 million m3 of mining mud was spilled from the dam, burying bodies, equipment, structural buildings, buses, and cars along a length of 8.5 km up to the Paraopeba River. Additionally, the contaminated mud traveled more than 300 km along the bed of the Paraopeba River toward the São Francisco River. This work shows the results of a geophysical investigation using the GPR method 17 days after the event. To carry out the geophysical survey, an excavator was used for soil compaction. The data acquisition was performed on the tracks left by the excavator chain using SIR-4000 equipment and antennas of 200 and 270 MHz (GSSI). The GPR studies aimed to map bodies, structural buildings, and equipment buried in the mud. The location of the profiles followed preferably the edge of the slope due to the higher probability of finding buried bodies and objects. The GPR results allowed the detection of subsoil structures, such as concentrations of iron ore and accumulations of sand from the dam filter. The GPR was effective because the iron ore sludge in the mixing process became porous and the pores were filled with air, which provided penetration and reflection of the GPR electromagnetic waves up to a depth of 3.5 m. The results were surprising. Although no bodies or underground equipment were found, the results of this research served to eliminate the studied areas from future excavations, thus redirecting the rescue teams and optimizing the search process. These important results can serve as an additional motivation for the use of GPR in future humanitarian work in areas of tragedies.

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Section: Gpr Methodsmentioning

confidence: 99%

GPR Survey on an Iron Mining Area after the Collapse of the Tailings Dam I at the Córrego do Feijão Mine in Brumadinho-MG, Brazil

2019

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“…In a composite material such as soil composed of water, air and minerals, the soil dielectric permittivity is determined by the relative contributions of the components. Because the dielectric permittivities of minerals (ε ≈ 2-5) and air (ε ≈ 1) are less than that of liquid water (ε ≈ 81) at 20 • C [35,36], the soil dielectric permittivity is controlled by the presence of water in the soil.…”

Section: Experimental Materialsmentioning

confidence: 99%

Soil Water Content Estimation Using High-Frequency Ground Penetrating Radar

Zhou

Wang

et al. 2019

Water

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The rapid high-precision and nondestructive determination of shallow soil water content (SWC) is of vital importance to precision agriculture and water resource management. However, the low-frequency ground penetrating radar (GPR) technology currently in use is insufficient for precisely determining the shallow SWC. Therefore, it is essential to develop and use a high-precision detection technology to determine SWC. In this paper, a laboratory study was conducted to evaluate the use of a high-frequency GPR antenna to determine the SWC of loamy sand, clay, and silty loam. We collected soil samples (0–20 cm) of six soil types of loamy sand, clay, and silty loam and used a high-frequency (2-GHz) GPR antenna to determine the SWC. In addition, we obtained GPR data and images as well as characteristic parameters of the electromagnetic spectrum and analyzed the quantitative relationship with SWC. The GPR reflection two-way travel times and the known depths of reflectors were used to calculate the average soil dielectric permittivities above the reflectors and establish a spatial relationship between the soil dielectric permittivity ( ε ) and SWC ( θ ), which was used to estimate the depth-averaged SWC. The results show that the SWC, which affects the attenuation of wave energy and the wave velocity of the GPR signal, is a dominant factor affecting the soil dielectric permittivity. In addition, the conductivity, magnetic soil, soil texture, soil organic matter, and soil temperature have substantial effects on the soil dielectric permittivity, which consequentially affects the prediction of SWC. The correlation coefficients R2 of the “ θ ~ ε ” cubic curve models, which were used to fit the relationships between the soil dielectric permittivity ( ε ) and SWC ( θ ), were greater than 0.89, and the root-mean-square errors were less than 2.9%, which demonstrate that high-frequency GPR technology can be applied to determine shallow SWC under variable hydrological conditions.

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“…Barboza et al (2009Barboza et al ( , 2013Barboza et al ( , 2018 utilizaram o Georadar para avaliar os registros em subsuperfície de trechos da barreira holocênica ao longo da Bacia de Pelotas e defi nir seu padrão de empilhamento; Dillenburg et al (2011) compararam radarfácies de Georadar com litofácies de testemunhos sedimentares para determinar os limites entre diferentes depósitos costeiros; Lima et al (2013) aplicaram o Georadar para caracterizar o modelo evo-lutivo da barreira holocênica no extremo sul do RS (Hermenegildo); , Biancini da Silva et al (2014), e Leal et al (2016) analisaram registros de paleocanais fl uviais na região sul de Santa Catarina (SC); Rosa et al (2017) utilizaram o Georadar para analisar as escalas espaciais e temporais dos depósitos quaternários e propor um arcabouço estratigráfi co hierarquizado para a Bacia de Pelotas; Bitencourt et al (2016), Dillenburg et al (2017) e Manzolli et al (2018) utilizaram o Georadar para inferir o arcabouço sedimentar e o padrão de truncamentos de cordões litorâneos regressivos; Barboza et al (2018) apresentam a relação diácrona entre o máximo transgressivo e o máximo eustático do nível do mar no Holoceno. Recentemente, Leandro et al (2019) integraram dados de sondagens com análise de traço de Georadar para determinar o contato entre depósitos de ambientes deposicionais costeiros.…”

Section: Introductionunclassified