Infiltration distribution rates on areas affected by rapid erosive process and covered by anthropogenic materials

Detalhes bibliográficos
Autor(a) principal: Mathias, Dener Toledo
Data de Publicação: 2018
Outros Autores: Lupinacci, Cenira Maria [UNESP], Moruzzi, Rodrigo Braga [UNESP]
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1590/S1413-41522018167570
http://hdl.handle.net/11449/186508
Resumo: In this paper, infiltration distribution rates were evaluated on areas affected by accelerated erosive processes and covered by anthropogenic material. Infiltration tests were performed at several samples distributed in the area. The data were adjusted to the Horton decay function, and its parameters were correlated with attributes of the physical environment and the terrain digital model, using the Pearson correlation coefficient (r). Results pointed out great variability of infiltration rates, due to the complexities generated by several structural interventions in the different sectors sampled, with different morphological, granulometric and land use variables. The analysis made sector by sector here proposed allowed verifying the main variables that interfere in the parameters that represent the infiltration rates, in spite of the spatial variability for infiltration rates. In low-slope sectors, there was a strong correlation between infiltration rates and sand, as well as between these rates and river distance. In high slope and grassland areas, such correlations are high between the final infiltration rates and the fine materials (clay and clay + silt). In high-slope areas with no vegetation coverage, the strongest correlations occur between the final infiltration and the cumulative runoff flow. Therefore, results here presented emphasize that both the characteristics of the cover materials and the morphology of the land are determinant for data analysis.
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spelling Infiltration distribution rates on areas affected by rapid erosive process and covered by anthropogenic materialslinear erosioninfiltration ratestectonic covers, erosion, runoff, granulometryIn this paper, infiltration distribution rates were evaluated on areas affected by accelerated erosive processes and covered by anthropogenic material. Infiltration tests were performed at several samples distributed in the area. The data were adjusted to the Horton decay function, and its parameters were correlated with attributes of the physical environment and the terrain digital model, using the Pearson correlation coefficient (r). Results pointed out great variability of infiltration rates, due to the complexities generated by several structural interventions in the different sectors sampled, with different morphological, granulometric and land use variables. The analysis made sector by sector here proposed allowed verifying the main variables that interfere in the parameters that represent the infiltration rates, in spite of the spatial variability for infiltration rates. In low-slope sectors, there was a strong correlation between infiltration rates and sand, as well as between these rates and river distance. In high slope and grassland areas, such correlations are high between the final infiltration rates and the fine materials (clay and clay + silt). In high-slope areas with no vegetation coverage, the strongest correlations occur between the final infiltration and the cumulative runoff flow. Therefore, results here presented emphasize that both the characteristics of the cover materials and the morphology of the land are determinant for data analysis.Univ Fed Mato Grosso, Cuiaba, MT, BrazilUniv Estadual Paulista, Rio Claro, SP, BrazilUniv Estadual Paulista, Rio Claro, SP, BrazilAssoc Brasileira Engenharia Sanitaria AmbientalUniversidade Federal de Mato Grosso do Sul (UFMS)Universidade Estadual Paulista (Unesp)Mathias, Dener ToledoLupinacci, Cenira Maria [UNESP]Moruzzi, Rodrigo Braga [UNESP]2019-10-05T04:09:50Z2019-10-05T04:09:50Z2018-09-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article923-931application/pdfhttp://dx.doi.org/10.1590/S1413-41522018167570Engenharia Sanitaria E Ambiental. Rio De Janeiro: Assoc Brasileira Engenharia Sanitaria Ambiental, v. 23, n. 5, p. 923-931, 2018.1413-4152http://hdl.handle.net/11449/18650810.1590/S1413-41522018167570S1413-41522018000500923WOS:000451639900010S1413-41522018000500923.pdf26898213239421990000-0002-4732-1421Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporEngenharia Sanitaria E Ambientalinfo:eu-repo/semantics/openAccess2023-12-23T06:23:00Zoai:repositorio.unesp.br:11449/186508Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:07:17.046719Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Infiltration distribution rates on areas affected by rapid erosive process and covered by anthropogenic materials
title Infiltration distribution rates on areas affected by rapid erosive process and covered by anthropogenic materials
spellingShingle Infiltration distribution rates on areas affected by rapid erosive process and covered by anthropogenic materials
Mathias, Dener Toledo
linear erosion
infiltration rates
tectonic covers, erosion, runoff, granulometry
title_short Infiltration distribution rates on areas affected by rapid erosive process and covered by anthropogenic materials
title_full Infiltration distribution rates on areas affected by rapid erosive process and covered by anthropogenic materials
title_fullStr Infiltration distribution rates on areas affected by rapid erosive process and covered by anthropogenic materials
title_full_unstemmed Infiltration distribution rates on areas affected by rapid erosive process and covered by anthropogenic materials
title_sort Infiltration distribution rates on areas affected by rapid erosive process and covered by anthropogenic materials
author Mathias, Dener Toledo
author_facet Mathias, Dener Toledo
Lupinacci, Cenira Maria [UNESP]
Moruzzi, Rodrigo Braga [UNESP]
author_role author
author2 Lupinacci, Cenira Maria [UNESP]
Moruzzi, Rodrigo Braga [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Federal de Mato Grosso do Sul (UFMS)
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Mathias, Dener Toledo
Lupinacci, Cenira Maria [UNESP]
Moruzzi, Rodrigo Braga [UNESP]
dc.subject.por.fl_str_mv linear erosion
infiltration rates
tectonic covers, erosion, runoff, granulometry
topic linear erosion
infiltration rates
tectonic covers, erosion, runoff, granulometry
description In this paper, infiltration distribution rates were evaluated on areas affected by accelerated erosive processes and covered by anthropogenic material. Infiltration tests were performed at several samples distributed in the area. The data were adjusted to the Horton decay function, and its parameters were correlated with attributes of the physical environment and the terrain digital model, using the Pearson correlation coefficient (r). Results pointed out great variability of infiltration rates, due to the complexities generated by several structural interventions in the different sectors sampled, with different morphological, granulometric and land use variables. The analysis made sector by sector here proposed allowed verifying the main variables that interfere in the parameters that represent the infiltration rates, in spite of the spatial variability for infiltration rates. In low-slope sectors, there was a strong correlation between infiltration rates and sand, as well as between these rates and river distance. In high slope and grassland areas, such correlations are high between the final infiltration rates and the fine materials (clay and clay + silt). In high-slope areas with no vegetation coverage, the strongest correlations occur between the final infiltration and the cumulative runoff flow. Therefore, results here presented emphasize that both the characteristics of the cover materials and the morphology of the land are determinant for data analysis.
publishDate 2018
dc.date.none.fl_str_mv 2018-09-01
2019-10-05T04:09:50Z
2019-10-05T04:09:50Z
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/10.1590/S1413-41522018167570
Engenharia Sanitaria E Ambiental. Rio De Janeiro: Assoc Brasileira Engenharia Sanitaria Ambiental, v. 23, n. 5, p. 923-931, 2018.
1413-4152
http://hdl.handle.net/11449/186508
10.1590/S1413-41522018167570
S1413-41522018000500923
WOS:000451639900010
S1413-41522018000500923.pdf
2689821323942199
0000-0002-4732-1421
url http://dx.doi.org/10.1590/S1413-41522018167570
http://hdl.handle.net/11449/186508
identifier_str_mv Engenharia Sanitaria E Ambiental. Rio De Janeiro: Assoc Brasileira Engenharia Sanitaria Ambiental, v. 23, n. 5, p. 923-931, 2018.
1413-4152
10.1590/S1413-41522018167570
S1413-41522018000500923
WOS:000451639900010
S1413-41522018000500923.pdf
2689821323942199
0000-0002-4732-1421
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv Engenharia Sanitaria E Ambiental
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 923-931
application/pdf
dc.publisher.none.fl_str_mv Assoc Brasileira Engenharia Sanitaria Ambiental
publisher.none.fl_str_mv Assoc Brasileira Engenharia Sanitaria Ambiental
dc.source.none.fl_str_mv Web of Science
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
_version_ 1808129286922567680