Exploratory analysis of fractured aquifers: A case study for aquifer systems in southern Rio Grande do Sul, Brazil

Detalhes bibliográficos
Autor(a) principal: Gaspar, Mauren
Data de Publicação: 2023
Outros Autores: de Oliveira, Christie Helouise Engelmann, Tognoli, Francisco Manoel Wohnrath [UNESP]
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.14295/ras.v37i1.30188
http://hdl.handle.net/11449/246873
Resumo: Hydrogeological studies need characterization of the aquifer systems using qualitative and quantitative data such as lith-ological and hydrogeochemical analysis, specific capacities, flow rate, salinity and pH. This paper presents a hydrogeolog-ical assessment of the southern portion of the Sulriograndense Shield (ESRG), covering 39 municipalities in the Rio Grande do Sul state, southern Brazil. Thus, lineament data extracted from SRTM images, aeromagnetometric data, hydro-geological data from 885 tubular wells and GIS data were integrated for the hydrogeological characterization. The struc-tural evaluation used lineament demarcated after terrain morphology analysis in the SRTM images at the scales of 1:400,000 and 1:250,000. Furthermore, we used structural subdivisions based on aeromagnetometric data. This inte-grated approach helped to identify the morphostructural correlation with the magnetic characteristics and the specific capacity of the wells. The results indicated the occurrence of three geophysical domains for each aeromagnetic treatment (ASA and 1DV). The PDVD1 domain, based on vertical first derivative processing, was identified as a fault core because it does not coincide with producing wells, following NW-SE and, subordinately, SW-SE trends. The PDVD2 domain presents lineaments less persistent with preferential SW-NE orientation and, subordinately, NW-SE, identified as a damage zone for coinciding with crystalline areas bearing wells of higher specific capacity. These structural results reinforce the ESRG's NE-SW and NW-SE trends, following trends within geophysical domains. For the evaluation and classification of the wells, data from 1,495 tubular wells were processed using Python scripts written in the Jupyter notebook platform (format.ipynb). From the 885 filtered wells, 211 wells intersected with 1:400,000 scale lineaments, and 588 wells intersected with 1:250,000 scale lineaments. Therefore, this study corroborates the efficiency with a 1:250,000 scale for regional studies and demonstrates how a programming language is a powerful tool for hydrogeological studies and assessment.
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spelling Exploratory analysis of fractured aquifers: A case study for aquifer systems in southern Rio Grande do Sul, BrazilAvaliação da capacidade exploratória de aquíferos fratura-dos: Um estudo de caso para os sistemas aquíferos da por-ção sul do Rio Grande do Sul, BrasilAerogeophysicsFractured AquifersGeoPandasHydrogeologyPythonHydrogeological studies need characterization of the aquifer systems using qualitative and quantitative data such as lith-ological and hydrogeochemical analysis, specific capacities, flow rate, salinity and pH. This paper presents a hydrogeolog-ical assessment of the southern portion of the Sulriograndense Shield (ESRG), covering 39 municipalities in the Rio Grande do Sul state, southern Brazil. Thus, lineament data extracted from SRTM images, aeromagnetometric data, hydro-geological data from 885 tubular wells and GIS data were integrated for the hydrogeological characterization. The struc-tural evaluation used lineament demarcated after terrain morphology analysis in the SRTM images at the scales of 1:400,000 and 1:250,000. Furthermore, we used structural subdivisions based on aeromagnetometric data. This inte-grated approach helped to identify the morphostructural correlation with the magnetic characteristics and the specific capacity of the wells. The results indicated the occurrence of three geophysical domains for each aeromagnetic treatment (ASA and 1DV). The PDVD1 domain, based on vertical first derivative processing, was identified as a fault core because it does not coincide with producing wells, following NW-SE and, subordinately, SW-SE trends. The PDVD2 domain presents lineaments less persistent with preferential SW-NE orientation and, subordinately, NW-SE, identified as a damage zone for coinciding with crystalline areas bearing wells of higher specific capacity. These structural results reinforce the ESRG's NE-SW and NW-SE trends, following trends within geophysical domains. For the evaluation and classification of the wells, data from 1,495 tubular wells were processed using Python scripts written in the Jupyter notebook platform (format.ipynb). From the 885 filtered wells, 211 wells intersected with 1:400,000 scale lineaments, and 588 wells intersected with 1:250,000 scale lineaments. Therefore, this study corroborates the efficiency with a 1:250,000 scale for regional studies and demonstrates how a programming language is a powerful tool for hydrogeological studies and assessment.Universidade do Vale do Rio dos Sinos (UNISINOS), RSUniversidade Estadual Paulista (UNESP) Centro de Ciências Naturais Aplicadas (Unespetro), SPAUniversidade Estadual Paulista (UNESP) Centro de Ciências Naturais Aplicadas (Unespetro), SPAUniversidade do Vale do Rio dos Sinos (UNISINOS)Universidade Estadual Paulista (UNESP)Gaspar, Maurende Oliveira, Christie Helouise EngelmannTognoli, Francisco Manoel Wohnrath [UNESP]2023-07-29T12:52:52Z2023-07-29T12:52:52Z2023-01-29info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.14295/ras.v37i1.30188Aguas Subterraneas, v. 37, n. 1, 2023.2179-97840101-7004http://hdl.handle.net/11449/24687310.14295/ras.v37i1.301882-s2.0-85148580557Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporAguas Subterraneasinfo:eu-repo/semantics/openAccess2023-07-29T12:52:52Zoai:repositorio.unesp.br:11449/246873Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T15:30:26.705593Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Exploratory analysis of fractured aquifers: A case study for aquifer systems in southern Rio Grande do Sul, Brazil
Avaliação da capacidade exploratória de aquíferos fratura-dos: Um estudo de caso para os sistemas aquíferos da por-ção sul do Rio Grande do Sul, Brasil
title Exploratory analysis of fractured aquifers: A case study for aquifer systems in southern Rio Grande do Sul, Brazil
spellingShingle Exploratory analysis of fractured aquifers: A case study for aquifer systems in southern Rio Grande do Sul, Brazil
Gaspar, Mauren
Aerogeophysics
Fractured Aquifers
GeoPandas
Hydrogeology
Python
title_short Exploratory analysis of fractured aquifers: A case study for aquifer systems in southern Rio Grande do Sul, Brazil
title_full Exploratory analysis of fractured aquifers: A case study for aquifer systems in southern Rio Grande do Sul, Brazil
title_fullStr Exploratory analysis of fractured aquifers: A case study for aquifer systems in southern Rio Grande do Sul, Brazil
title_full_unstemmed Exploratory analysis of fractured aquifers: A case study for aquifer systems in southern Rio Grande do Sul, Brazil
title_sort Exploratory analysis of fractured aquifers: A case study for aquifer systems in southern Rio Grande do Sul, Brazil
author Gaspar, Mauren
author_facet Gaspar, Mauren
de Oliveira, Christie Helouise Engelmann
Tognoli, Francisco Manoel Wohnrath [UNESP]
author_role author
author2 de Oliveira, Christie Helouise Engelmann
Tognoli, Francisco Manoel Wohnrath [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv Universidade do Vale do Rio dos Sinos (UNISINOS)
Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Gaspar, Mauren
de Oliveira, Christie Helouise Engelmann
Tognoli, Francisco Manoel Wohnrath [UNESP]
dc.subject.por.fl_str_mv Aerogeophysics
Fractured Aquifers
GeoPandas
Hydrogeology
Python
topic Aerogeophysics
Fractured Aquifers
GeoPandas
Hydrogeology
Python
description Hydrogeological studies need characterization of the aquifer systems using qualitative and quantitative data such as lith-ological and hydrogeochemical analysis, specific capacities, flow rate, salinity and pH. This paper presents a hydrogeolog-ical assessment of the southern portion of the Sulriograndense Shield (ESRG), covering 39 municipalities in the Rio Grande do Sul state, southern Brazil. Thus, lineament data extracted from SRTM images, aeromagnetometric data, hydro-geological data from 885 tubular wells and GIS data were integrated for the hydrogeological characterization. The struc-tural evaluation used lineament demarcated after terrain morphology analysis in the SRTM images at the scales of 1:400,000 and 1:250,000. Furthermore, we used structural subdivisions based on aeromagnetometric data. This inte-grated approach helped to identify the morphostructural correlation with the magnetic characteristics and the specific capacity of the wells. The results indicated the occurrence of three geophysical domains for each aeromagnetic treatment (ASA and 1DV). The PDVD1 domain, based on vertical first derivative processing, was identified as a fault core because it does not coincide with producing wells, following NW-SE and, subordinately, SW-SE trends. The PDVD2 domain presents lineaments less persistent with preferential SW-NE orientation and, subordinately, NW-SE, identified as a damage zone for coinciding with crystalline areas bearing wells of higher specific capacity. These structural results reinforce the ESRG's NE-SW and NW-SE trends, following trends within geophysical domains. For the evaluation and classification of the wells, data from 1,495 tubular wells were processed using Python scripts written in the Jupyter notebook platform (format.ipynb). From the 885 filtered wells, 211 wells intersected with 1:400,000 scale lineaments, and 588 wells intersected with 1:250,000 scale lineaments. Therefore, this study corroborates the efficiency with a 1:250,000 scale for regional studies and demonstrates how a programming language is a powerful tool for hydrogeological studies and assessment.
publishDate 2023
dc.date.none.fl_str_mv 2023-07-29T12:52:52Z
2023-07-29T12:52:52Z
2023-01-29
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.14295/ras.v37i1.30188
Aguas Subterraneas, v. 37, n. 1, 2023.
2179-9784
0101-7004
http://hdl.handle.net/11449/246873
10.14295/ras.v37i1.30188
2-s2.0-85148580557
url http://dx.doi.org/10.14295/ras.v37i1.30188
http://hdl.handle.net/11449/246873
identifier_str_mv Aguas Subterraneas, v. 37, n. 1, 2023.
2179-9784
0101-7004
10.14295/ras.v37i1.30188
2-s2.0-85148580557
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv Aguas Subterraneas
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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