Infiltration distribution rates on areas affected by rapid erosive process and covered by anthropogenic materials
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , |
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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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 |