Electrical resistivity tomography (ERT) and geochemical analysis dataset to delimit subsurface affected areas by livestock pig slurry ponds
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Capa Camacho, Ximena; Martínez Pagán, Pedro; Martínez Segura, Marcos Antonio; Gabarrón Sánchez, María; Faz Cano, ÁngelÁrea de conocimiento
Edafología y Química AgrícolaPatrocinadores
This work was supported by the research grant 21583/FPI/21. Fundación Séneca. Región de Murcia (Spain), and the Sustainable Use, Management, and Reclamation of Soil and Water research group.Realizado en/con
Universidad Politécnica de CartagenaFecha de publicación
2022-11-01Editorial
ElsevierCita bibliográfica
Ximena Capa-Camacho, Pedro Martínez-Pagán, Marcos Martínez-Segura, María Gabarrón, Ángel Faz, Electrical resistivity tomography (ERT) and geochemical analysis dataset to delimit subsurface affected areas by livestock pig slurry ponds, Data in Brief, Volume 45, 2022, 108684, ISSN 2352-3409, https://doi.org/10.1016/j.dib.2022.108684.Revisión por pares
SIPalabras clave
Electrical resistivity tomographyPig slurry
Geochemical techniques
Pollutants infiltration
Resumen
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, ...
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