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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/70866
Ver los metadatos del registro completo
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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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1842269060583129088 |
score |
13.13397 |