Investigating nitrate dynamics in a fine-textured soil affected by feedlot effluents

Autores
Veizaga, Emiliano Andrés; Rodriguez, Leticia Beatriz; Ocampo, Carlos Jorge
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Feedlots concentrate large volumes of manure and effluents that contain high concentrations of nitrate, among other constituents. If not managed properly, pen surfaces run-off and lagoons overflows may spread those effluents to surrounding land, infiltrating into the soil. Soil nitrate mobilization and distribution are of great concern due to its potential migration towards groundwater resources. This work aimed at evaluating the migration of nitrate originated on feedlots effluents in a fine-textured soil under field conditions. Soil water constituents were measured during a three-year period at three distinct locations adjacent to feedlot retention lagoons representing different degrees of exposure to water flow and manure accumulation. A simple statistical analysis was undertaken to identify patterns of observed nitrate and chloride concentrations and electrical conductivity and their differences with depth. HYDRUS-1D was used to simulate water flow and solute transport of Cl−, NO4+[sbnd]N, NO3−[sbnd]N and electrical conductivity to complement field data interpretation. Results indicated that patterns of NO3−[sbnd]N concentrations were not only notoriously different from electrical conductivity and Cl− but also ranges and distribution with depth differed among locations. A combination of dilution, transport, reactions such as nitrification/denitrification and vegetation water and solute uptake took place at each plots denoting the complexity of soil-solution behavior under extreme polluting conditions. Simulations using the concept of single porosity-mobile/immobile water (SP-MIM) managed structural controls and correctly simulated —all species concentrations under field data constrains. The opposite was true for the other two locations experiencing near-saturation conditions, absence of vegetation and frequent manure accumulation and runoff from feedlot lagoons. Although the results are site specific, findings are relevant to advance the understanding of NO3−[sbnd]N dynamics resulting from FL operations under heavy soils.
Fil: Veizaga, Emiliano Andrés. Universidad Nacional del Litoral. Facultad de Ingenieria y Ciencias Hidricas. Centro de Estudios Hidro-ambientales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Rodriguez, Leticia Beatriz. Universidad Nacional del Litoral. Facultad de Ingenieria y Ciencias Hidricas. Centro de Estudios Hidro-ambientales; Argentina
Fil: Ocampo, Carlos Jorge. University of Western Australia; Australia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
Feedlot
Nitrate
Numerical Model
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/70866

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spelling Investigating nitrate dynamics in a fine-textured soil affected by feedlot effluentsVeizaga, Emiliano AndrésRodriguez, Leticia BeatrizOcampo, Carlos JorgeFeedlotNitrateNumerical Modelhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Feedlots concentrate large volumes of manure and effluents that contain high concentrations of nitrate, among other constituents. If not managed properly, pen surfaces run-off and lagoons overflows may spread those effluents to surrounding land, infiltrating into the soil. Soil nitrate mobilization and distribution are of great concern due to its potential migration towards groundwater resources. This work aimed at evaluating the migration of nitrate originated on feedlots effluents in a fine-textured soil under field conditions. Soil water constituents were measured during a three-year period at three distinct locations adjacent to feedlot retention lagoons representing different degrees of exposure to water flow and manure accumulation. A simple statistical analysis was undertaken to identify patterns of observed nitrate and chloride concentrations and electrical conductivity and their differences with depth. HYDRUS-1D was used to simulate water flow and solute transport of Cl−, NO4+[sbnd]N, NO3−[sbnd]N and electrical conductivity to complement field data interpretation. Results indicated that patterns of NO3−[sbnd]N concentrations were not only notoriously different from electrical conductivity and Cl− but also ranges and distribution with depth differed among locations. A combination of dilution, transport, reactions such as nitrification/denitrification and vegetation water and solute uptake took place at each plots denoting the complexity of soil-solution behavior under extreme polluting conditions. Simulations using the concept of single porosity-mobile/immobile water (SP-MIM) managed structural controls and correctly simulated —all species concentrations under field data constrains. The opposite was true for the other two locations experiencing near-saturation conditions, absence of vegetation and frequent manure accumulation and runoff from feedlot lagoons. Although the results are site specific, findings are relevant to advance the understanding of NO3−[sbnd]N dynamics resulting from FL operations under heavy soils.Fil: Veizaga, Emiliano Andrés. Universidad Nacional del Litoral. Facultad de Ingenieria y Ciencias Hidricas. Centro de Estudios Hidro-ambientales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Rodriguez, Leticia Beatriz. Universidad Nacional del Litoral. Facultad de Ingenieria y Ciencias Hidricas. Centro de Estudios Hidro-ambientales; ArgentinaFil: Ocampo, Carlos Jorge. University of Western Australia; Australia. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaElsevier Science2016-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/70866Veizaga, Emiliano Andrés; Rodriguez, Leticia Beatriz; Ocampo, Carlos Jorge; Investigating nitrate dynamics in a fine-textured soil affected by feedlot effluents; Elsevier Science; Journal of Contaminant Hydrology; 193; 10-2016; 21-340169-7722CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0169772216301541info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jconhyd.2016.08.005info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:50:54Zoai:ri.conicet.gov.ar:11336/70866instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:50:54.441CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Investigating nitrate dynamics in a fine-textured soil affected by feedlot effluents
title Investigating nitrate dynamics in a fine-textured soil affected by feedlot effluents
spellingShingle Investigating nitrate dynamics in a fine-textured soil affected by feedlot effluents
Veizaga, Emiliano Andrés
Feedlot
Nitrate
Numerical Model
title_short Investigating nitrate dynamics in a fine-textured soil affected by feedlot effluents
title_full Investigating nitrate dynamics in a fine-textured soil affected by feedlot effluents
title_fullStr Investigating nitrate dynamics in a fine-textured soil affected by feedlot effluents
title_full_unstemmed Investigating nitrate dynamics in a fine-textured soil affected by feedlot effluents
title_sort Investigating nitrate dynamics in a fine-textured soil affected by feedlot effluents
dc.creator.none.fl_str_mv Veizaga, Emiliano Andrés
Rodriguez, Leticia Beatriz
Ocampo, Carlos Jorge
author Veizaga, Emiliano Andrés
author_facet Veizaga, Emiliano Andrés
Rodriguez, Leticia Beatriz
Ocampo, Carlos Jorge
author_role author
author2 Rodriguez, Leticia Beatriz
Ocampo, Carlos Jorge
author2_role author
author
dc.subject.none.fl_str_mv Feedlot
Nitrate
Numerical Model
topic Feedlot
Nitrate
Numerical Model
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Feedlots concentrate large volumes of manure and effluents that contain high concentrations of nitrate, among other constituents. If not managed properly, pen surfaces run-off and lagoons overflows may spread those effluents to surrounding land, infiltrating into the soil. Soil nitrate mobilization and distribution are of great concern due to its potential migration towards groundwater resources. This work aimed at evaluating the migration of nitrate originated on feedlots effluents in a fine-textured soil under field conditions. Soil water constituents were measured during a three-year period at three distinct locations adjacent to feedlot retention lagoons representing different degrees of exposure to water flow and manure accumulation. A simple statistical analysis was undertaken to identify patterns of observed nitrate and chloride concentrations and electrical conductivity and their differences with depth. HYDRUS-1D was used to simulate water flow and solute transport of Cl−, NO4+[sbnd]N, NO3−[sbnd]N and electrical conductivity to complement field data interpretation. Results indicated that patterns of NO3−[sbnd]N concentrations were not only notoriously different from electrical conductivity and Cl− but also ranges and distribution with depth differed among locations. A combination of dilution, transport, reactions such as nitrification/denitrification and vegetation water and solute uptake took place at each plots denoting the complexity of soil-solution behavior under extreme polluting conditions. Simulations using the concept of single porosity-mobile/immobile water (SP-MIM) managed structural controls and correctly simulated —all species concentrations under field data constrains. The opposite was true for the other two locations experiencing near-saturation conditions, absence of vegetation and frequent manure accumulation and runoff from feedlot lagoons. Although the results are site specific, findings are relevant to advance the understanding of NO3−[sbnd]N dynamics resulting from FL operations under heavy soils.
Fil: Veizaga, Emiliano Andrés. Universidad Nacional del Litoral. Facultad de Ingenieria y Ciencias Hidricas. Centro de Estudios Hidro-ambientales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Rodriguez, Leticia Beatriz. Universidad Nacional del Litoral. Facultad de Ingenieria y Ciencias Hidricas. Centro de Estudios Hidro-ambientales; Argentina
Fil: Ocampo, Carlos Jorge. University of Western Australia; Australia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description Feedlots concentrate large volumes of manure and effluents that contain high concentrations of nitrate, among other constituents. If not managed properly, pen surfaces run-off and lagoons overflows may spread those effluents to surrounding land, infiltrating into the soil. Soil nitrate mobilization and distribution are of great concern due to its potential migration towards groundwater resources. This work aimed at evaluating the migration of nitrate originated on feedlots effluents in a fine-textured soil under field conditions. Soil water constituents were measured during a three-year period at three distinct locations adjacent to feedlot retention lagoons representing different degrees of exposure to water flow and manure accumulation. A simple statistical analysis was undertaken to identify patterns of observed nitrate and chloride concentrations and electrical conductivity and their differences with depth. HYDRUS-1D was used to simulate water flow and solute transport of Cl−, NO4+[sbnd]N, NO3−[sbnd]N and electrical conductivity to complement field data interpretation. Results indicated that patterns of NO3−[sbnd]N concentrations were not only notoriously different from electrical conductivity and Cl− but also ranges and distribution with depth differed among locations. A combination of dilution, transport, reactions such as nitrification/denitrification and vegetation water and solute uptake took place at each plots denoting the complexity of soil-solution behavior under extreme polluting conditions. Simulations using the concept of single porosity-mobile/immobile water (SP-MIM) managed structural controls and correctly simulated —all species concentrations under field data constrains. The opposite was true for the other two locations experiencing near-saturation conditions, absence of vegetation and frequent manure accumulation and runoff from feedlot lagoons. Although the results are site specific, findings are relevant to advance the understanding of NO3−[sbnd]N dynamics resulting from FL operations under heavy soils.
publishDate 2016
dc.date.none.fl_str_mv 2016-10
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/70866
Veizaga, Emiliano Andrés; Rodriguez, Leticia Beatriz; Ocampo, Carlos Jorge; Investigating nitrate dynamics in a fine-textured soil affected by feedlot effluents; Elsevier Science; Journal of Contaminant Hydrology; 193; 10-2016; 21-34
0169-7722
CONICET Digital
CONICET
url http://hdl.handle.net/11336/70866
identifier_str_mv Veizaga, Emiliano Andrés; Rodriguez, Leticia Beatriz; Ocampo, Carlos Jorge; Investigating nitrate dynamics in a fine-textured soil affected by feedlot effluents; Elsevier Science; Journal of Contaminant Hydrology; 193; 10-2016; 21-34
0169-7722
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0169772216301541
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jconhyd.2016.08.005
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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