Atmospheric dispersion of hydrogen sulfide using a modified ARPS model: a case study
- Autores
- Orcellet, Emiliana Elisabet; Villanova, Martina; Noir, Jorge Omar; Caire, Daiana Marisol
- Año de publicación
- 2022
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Exposure to disgusting smells constitutes a type of atmospheric pollution from industrial and human activities. Complaints stemming from various sources of unpleasant odors have become a serious concern in both sparsely and densely populated countries. Hydrogen sulfide is a compound characterized by its disgusting odor. In this work, a new chemical reaction was incorporated to Advanced Regional Prediction System (ARPS) model, to calculate the H2 S air concentrations. A turbulent boundary layer flow is computed using the LES code ARPS 4.5.2. A LES coupled with a Lagrangian stochastic model has been applied to the study of reactive scalar dispersion downwind of a localized source of H2 S. The study case corresponds to the H2 S emission of cellulose mill. Two bad odor event was evaluating in order to compare the result of the model with the measured concentrations. The results of this model application provides good description of the plumes for two event of bad odor records in the zone. The values resulting from the analysis of the air samples are within the concentration range estimated by the model. The model is a valid and useful tool to simulate atmospheric pollution episodes that involve non-conservative pollutants, that is, chemical species that, when in contact with the atmospheric components, react, and giving rise to the formation of secondary compounds. It is possible used the developed modeling system in cases of diagnosis and prognosis of real situations and even emergencies, with an appropriate level of precision for studies of this type.
Fil: Orcellet, Emiliana Elisabet. Universidad Nacional de Entre Rios. Facultad de Ciencias de la Salud; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Villanova, Martina. Universidad Nacional de Entre Rios. Facultad de Ciencias de la Salud; Argentina
Fil: Noir, Jorge Omar. Universidad Nacional de Entre Rios. Facultad de Ciencias de la Salud; Argentina
Fil: Caire, Daiana Marisol. Universidad Nacional de Entre Rios. Facultad de Ciencias de la Salud; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina - Materia
-
ATMOSPHERIC ODOR POLLUTION
HYDROGEN SULFIDE
ARPS
POLLUTANT DISPERSION
CHEMICAL REACTION - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/200934
Ver los metadatos del registro completo
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Atmospheric dispersion of hydrogen sulfide using a modified ARPS model: a case studyOrcellet, Emiliana ElisabetVillanova, MartinaNoir, Jorge OmarCaire, Daiana MarisolATMOSPHERIC ODOR POLLUTIONHYDROGEN SULFIDEARPSPOLLUTANT DISPERSIONCHEMICAL REACTIONhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Exposure to disgusting smells constitutes a type of atmospheric pollution from industrial and human activities. Complaints stemming from various sources of unpleasant odors have become a serious concern in both sparsely and densely populated countries. Hydrogen sulfide is a compound characterized by its disgusting odor. In this work, a new chemical reaction was incorporated to Advanced Regional Prediction System (ARPS) model, to calculate the H2 S air concentrations. A turbulent boundary layer flow is computed using the LES code ARPS 4.5.2. A LES coupled with a Lagrangian stochastic model has been applied to the study of reactive scalar dispersion downwind of a localized source of H2 S. The study case corresponds to the H2 S emission of cellulose mill. Two bad odor event was evaluating in order to compare the result of the model with the measured concentrations. The results of this model application provides good description of the plumes for two event of bad odor records in the zone. The values resulting from the analysis of the air samples are within the concentration range estimated by the model. The model is a valid and useful tool to simulate atmospheric pollution episodes that involve non-conservative pollutants, that is, chemical species that, when in contact with the atmospheric components, react, and giving rise to the formation of secondary compounds. It is possible used the developed modeling system in cases of diagnosis and prognosis of real situations and even emergencies, with an appropriate level of precision for studies of this type.Fil: Orcellet, Emiliana Elisabet. Universidad Nacional de Entre Rios. Facultad de Ciencias de la Salud; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Villanova, Martina. Universidad Nacional de Entre Rios. Facultad de Ciencias de la Salud; ArgentinaFil: Noir, Jorge Omar. Universidad Nacional de Entre Rios. Facultad de Ciencias de la Salud; ArgentinaFil: Caire, Daiana Marisol. Universidad Nacional de Entre Rios. Facultad de Ciencias de la Salud; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaSociedade Brasileira de Ecotoxicologia2022-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/200934Orcellet, Emiliana Elisabet; Villanova, Martina; Noir, Jorge Omar; Caire, Daiana Marisol; Atmospheric dispersion of hydrogen sulfide using a modified ARPS model: a case study; Sociedade Brasileira de Ecotoxicologia; Ecotoxicology and Environmental Contamination; 17; 1; 8-2022; 93-1052317-9643CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://ecotoxbrasil.org.br/upload/eb07df7b924fb679cc8b63fc858d14ad-article%209%20(eec-2022-9).pdfinfo:eu-repo/semantics/altIdentifier/doi/10.5132/eec.2022.01.09info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:06:47Zoai:ri.conicet.gov.ar:11336/200934instacron: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 10:06:48.166CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Atmospheric dispersion of hydrogen sulfide using a modified ARPS model: a case study |
title |
Atmospheric dispersion of hydrogen sulfide using a modified ARPS model: a case study |
spellingShingle |
Atmospheric dispersion of hydrogen sulfide using a modified ARPS model: a case study Orcellet, Emiliana Elisabet ATMOSPHERIC ODOR POLLUTION HYDROGEN SULFIDE ARPS POLLUTANT DISPERSION CHEMICAL REACTION |
title_short |
Atmospheric dispersion of hydrogen sulfide using a modified ARPS model: a case study |
title_full |
Atmospheric dispersion of hydrogen sulfide using a modified ARPS model: a case study |
title_fullStr |
Atmospheric dispersion of hydrogen sulfide using a modified ARPS model: a case study |
title_full_unstemmed |
Atmospheric dispersion of hydrogen sulfide using a modified ARPS model: a case study |
title_sort |
Atmospheric dispersion of hydrogen sulfide using a modified ARPS model: a case study |
dc.creator.none.fl_str_mv |
Orcellet, Emiliana Elisabet Villanova, Martina Noir, Jorge Omar Caire, Daiana Marisol |
author |
Orcellet, Emiliana Elisabet |
author_facet |
Orcellet, Emiliana Elisabet Villanova, Martina Noir, Jorge Omar Caire, Daiana Marisol |
author_role |
author |
author2 |
Villanova, Martina Noir, Jorge Omar Caire, Daiana Marisol |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
ATMOSPHERIC ODOR POLLUTION HYDROGEN SULFIDE ARPS POLLUTANT DISPERSION CHEMICAL REACTION |
topic |
ATMOSPHERIC ODOR POLLUTION HYDROGEN SULFIDE ARPS POLLUTANT DISPERSION CHEMICAL REACTION |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.5 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Exposure to disgusting smells constitutes a type of atmospheric pollution from industrial and human activities. Complaints stemming from various sources of unpleasant odors have become a serious concern in both sparsely and densely populated countries. Hydrogen sulfide is a compound characterized by its disgusting odor. In this work, a new chemical reaction was incorporated to Advanced Regional Prediction System (ARPS) model, to calculate the H2 S air concentrations. A turbulent boundary layer flow is computed using the LES code ARPS 4.5.2. A LES coupled with a Lagrangian stochastic model has been applied to the study of reactive scalar dispersion downwind of a localized source of H2 S. The study case corresponds to the H2 S emission of cellulose mill. Two bad odor event was evaluating in order to compare the result of the model with the measured concentrations. The results of this model application provides good description of the plumes for two event of bad odor records in the zone. The values resulting from the analysis of the air samples are within the concentration range estimated by the model. The model is a valid and useful tool to simulate atmospheric pollution episodes that involve non-conservative pollutants, that is, chemical species that, when in contact with the atmospheric components, react, and giving rise to the formation of secondary compounds. It is possible used the developed modeling system in cases of diagnosis and prognosis of real situations and even emergencies, with an appropriate level of precision for studies of this type. Fil: Orcellet, Emiliana Elisabet. Universidad Nacional de Entre Rios. Facultad de Ciencias de la Salud; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Villanova, Martina. Universidad Nacional de Entre Rios. Facultad de Ciencias de la Salud; Argentina Fil: Noir, Jorge Omar. Universidad Nacional de Entre Rios. Facultad de Ciencias de la Salud; Argentina Fil: Caire, Daiana Marisol. Universidad Nacional de Entre Rios. Facultad de Ciencias de la Salud; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina |
description |
Exposure to disgusting smells constitutes a type of atmospheric pollution from industrial and human activities. Complaints stemming from various sources of unpleasant odors have become a serious concern in both sparsely and densely populated countries. Hydrogen sulfide is a compound characterized by its disgusting odor. In this work, a new chemical reaction was incorporated to Advanced Regional Prediction System (ARPS) model, to calculate the H2 S air concentrations. A turbulent boundary layer flow is computed using the LES code ARPS 4.5.2. A LES coupled with a Lagrangian stochastic model has been applied to the study of reactive scalar dispersion downwind of a localized source of H2 S. The study case corresponds to the H2 S emission of cellulose mill. Two bad odor event was evaluating in order to compare the result of the model with the measured concentrations. The results of this model application provides good description of the plumes for two event of bad odor records in the zone. The values resulting from the analysis of the air samples are within the concentration range estimated by the model. The model is a valid and useful tool to simulate atmospheric pollution episodes that involve non-conservative pollutants, that is, chemical species that, when in contact with the atmospheric components, react, and giving rise to the formation of secondary compounds. It is possible used the developed modeling system in cases of diagnosis and prognosis of real situations and even emergencies, with an appropriate level of precision for studies of this type. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-08 |
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/11336/200934 Orcellet, Emiliana Elisabet; Villanova, Martina; Noir, Jorge Omar; Caire, Daiana Marisol; Atmospheric dispersion of hydrogen sulfide using a modified ARPS model: a case study; Sociedade Brasileira de Ecotoxicologia; Ecotoxicology and Environmental Contamination; 17; 1; 8-2022; 93-105 2317-9643 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/200934 |
identifier_str_mv |
Orcellet, Emiliana Elisabet; Villanova, Martina; Noir, Jorge Omar; Caire, Daiana Marisol; Atmospheric dispersion of hydrogen sulfide using a modified ARPS model: a case study; Sociedade Brasileira de Ecotoxicologia; Ecotoxicology and Environmental Contamination; 17; 1; 8-2022; 93-105 2317-9643 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://ecotoxbrasil.org.br/upload/eb07df7b924fb679cc8b63fc858d14ad-article%209%20(eec-2022-9).pdf info:eu-repo/semantics/altIdentifier/doi/10.5132/eec.2022.01.09 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Ecotoxicologia |
publisher.none.fl_str_mv |
Sociedade Brasileira de Ecotoxicologia |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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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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1842269974637314048 |
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13.13397 |