A mathematical model for the simulation of the Magdalena River in the city of Barrancabermeja, Colombia
The integration of mathematical models allows the simulation of the spatiotemporal behavior of water quality parameters of a river. The representation of reality and different scenarios through simulation makes it possible to know the variations in water quality of a receiving water source associate...
- Autores:
-
Carrillo-Soto, Gustavo A
calixto, nelson javier
Bonilla, Carlos
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2021
- Institución:
- Universidad Francisco de Paula Santander
- Repositorio:
- Repositorio Digital UFPS
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.ufps.edu.co:ufps/1120
- Acceso en línea:
- http://repositorio.ufps.edu.co/handle/ufps/1120
https://doi.org/10.1088/1742-6596/1981/1/012016
- Palabra clave:
- Rights
- openAccess
- License
- © Copyright 2021 IOP Publishing
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A mathematical model for the simulation of the Magdalena River in the city of Barrancabermeja, Colombia |
| title |
A mathematical model for the simulation of the Magdalena River in the city of Barrancabermeja, Colombia |
| spellingShingle |
A mathematical model for the simulation of the Magdalena River in the city of Barrancabermeja, Colombia |
| title_short |
A mathematical model for the simulation of the Magdalena River in the city of Barrancabermeja, Colombia |
| title_full |
A mathematical model for the simulation of the Magdalena River in the city of Barrancabermeja, Colombia |
| title_fullStr |
A mathematical model for the simulation of the Magdalena River in the city of Barrancabermeja, Colombia |
| title_full_unstemmed |
A mathematical model for the simulation of the Magdalena River in the city of Barrancabermeja, Colombia |
| title_sort |
A mathematical model for the simulation of the Magdalena River in the city of Barrancabermeja, Colombia |
| dc.creator.fl_str_mv |
Carrillo-Soto, Gustavo A calixto, nelson javier Bonilla, Carlos |
| dc.contributor.author.none.fl_str_mv |
Carrillo-Soto, Gustavo A calixto, nelson javier Bonilla, Carlos |
| description |
The integration of mathematical models allows the simulation of the spatiotemporal behavior of water quality parameters of a river. The representation of reality and different scenarios through simulation makes it possible to know the variations in water quality of a receiving water source associated with liquid discharges. Therefore, for this study, the mathematical model QUAL2K was applied to simulate the water quality of the Magdalena River in the section that crosses the city of Barrancabermeja, Colombia. For this purpose, a database of hydro-climatological records from 1977 to 2020 was used. Among the analyses, dissolved oxygen and biochemical oxygen demand were considered as water quality parameters. As a result of the initial data processing of the distribution tests and Kolmogorov goodness of fit, the best fit with the normal distribution was obtained for the estimation of flow rates. The concentrations of the water quality parameters dissolved oxygen and biochemical oxygen demand were represented in the mathematical model, which shows the dilution capacity of the pollutant loads of the wastewater, due to the high flow of the Magdalena River in the study section. |
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2021 |
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2021-11-19T13:02:46Z |
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2021-11-19T13:02:46Z |
| dc.date.issued.none.fl_str_mv |
2021-08-09 |
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Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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Text |
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publishedVersion |
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http://repositorio.ufps.edu.co/handle/ufps/1120 |
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https://doi.org/10.1088/1742-6596/1981/1/012016 |
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http://repositorio.ufps.edu.co/handle/ufps/1120 https://doi.org/10.1088/1742-6596/1981/1/012016 |
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eng |
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eng |
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Journal of Physics: Conference Series |
| dc.relation.citationedition.spa.fl_str_mv |
Vol.1981 No.1.(2021) |
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6 |
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1(2021) |
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1 |
| dc.relation.citationvolume.spa.fl_str_mv |
1981 |
| dc.relation.cites.none.fl_str_mv |
Cely-Calixto, N. J., Bonilla-Granados, C. A., & Soto, G. C. (2021, July). A mathematical model for the simulation of the Magdalena River in the city of Barrancabermeja, Colombia. In Journal of Physics: Conference Series (Vol. 1981, No. 1, p. 012016). IOP Publishing. |
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Journal of Physics: Conference Series |
| dc.rights.eng.fl_str_mv |
© Copyright 2021 IOP Publishing |
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http://purl.org/coar/access_right/c_abf2 |
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info:eu-repo/semantics/openAccess |
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Atribución 4.0 Internacional (CC BY 4.0) |
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© Copyright 2021 IOP Publishing Atribución 4.0 Internacional (CC BY 4.0) http://purl.org/coar/access_right/c_abf2 |
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openAccess |
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06 páginas |
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application/pdf |
| dc.coverage.country.none.fl_str_mv |
Colombia |
| dc.coverage.region.none.fl_str_mv |
Barrancabermeja |
| dc.publisher.spa.fl_str_mv |
Journal of Physics: Conference Series |
| dc.publisher.place.spa.fl_str_mv |
Reino Unido |
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https://iopscience.iop.org/article/10.1088/1742-6596/1981/1/012016/meta |
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Universidad Francisco de Paula Santander |
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Carrillo-Soto, Gustavo A9f0bdf54d830286b6e18ffcbfb4b42dd600calixto, nelson javier1b1c54c0164cb75e102a975426a97880600Bonilla, Carlos46f42b06cc840c5fe64c0fea50f743946002021-11-19T13:02:46Z2021-11-19T13:02:46Z2021-08-09http://repositorio.ufps.edu.co/handle/ufps/1120https://doi.org/10.1088/1742-6596/1981/1/012016The integration of mathematical models allows the simulation of the spatiotemporal behavior of water quality parameters of a river. The representation of reality and different scenarios through simulation makes it possible to know the variations in water quality of a receiving water source associated with liquid discharges. Therefore, for this study, the mathematical model QUAL2K was applied to simulate the water quality of the Magdalena River in the section that crosses the city of Barrancabermeja, Colombia. For this purpose, a database of hydro-climatological records from 1977 to 2020 was used. Among the analyses, dissolved oxygen and biochemical oxygen demand were considered as water quality parameters. As a result of the initial data processing of the distribution tests and Kolmogorov goodness of fit, the best fit with the normal distribution was obtained for the estimation of flow rates. The concentrations of the water quality parameters dissolved oxygen and biochemical oxygen demand were represented in the mathematical model, which shows the dilution capacity of the pollutant loads of the wastewater, due to the high flow of the Magdalena River in the study section.06 páginasapplication/pdfengJournal of Physics: Conference SeriesReino UnidoJournal of Physics: Conference SeriesVol.1981 No.1.(2021)61(2021)11981Cely-Calixto, N. J., Bonilla-Granados, C. A., & Soto, G. C. (2021, July). A mathematical model for the simulation of the Magdalena River in the city of Barrancabermeja, Colombia. In Journal of Physics: Conference Series (Vol. 1981, No. 1, p. 012016). IOP Publishing.Journal of Physics: Conference Series© Copyright 2021 IOP Publishinginfo:eu-repo/semantics/openAccessAtribución 4.0 Internacional (CC BY 4.0)http://purl.org/coar/access_right/c_abf2https://iopscience.iop.org/article/10.1088/1742-6596/1981/1/012016/metaA mathematical model for the simulation of the Magdalena River in the city of Barrancabermeja, ColombiaArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85ColombiaBarrancabermejaUnited Nations 2001 World Population Monitoring, Population Environmental and Development (New York: United Nations) 89Susilowati Y, Kumoro Y and Nur W H 2020 Integrated water quality modelling for spatial planning IOP Conf. Ser. Earth Environ. Sci. 483 1Yang L and Xiaobin Y 2018 A review of development and application on River comprehensive water quality model QUAL2K IOP Conf. Ser. Earth Environ. Sci. 189 1Vera P and Ismael L 2007 Aplicación de Técnica de Optimización Mediante Algoritmos Genéticos para Calibración de Modelo Qual2k (Colombia: Universidad Pontificia Javeriana) como una Aproximación a la Modelación de la Calidad del Agua de los Principales Ríos de la Zona Urbana de BogotáBui H, Ha N, Nguyen T, Nguyen A, Pham T, Jaya K and Tien V Integration of SWAT and QUAL2K for water quality modeling in a data scarce basin of Cau River basin in Vietnam Ecohydrol. Hydrobiol. 19 210Gurjar S K and Tare V 2019 Spatial-temporal assessment of water quality and assimilative capacity of river Ramganga, a tributary of Ganga using multivariate analysis and QUEL2K J. Clean. Prod. 222 550Gloria L, Francisco M, Mery L and Claudia D 2009 Simulación de la calidad del agua en la quebrada Chapal una aplicación del modelo QUAL 2K Revista Unimar 27 11Bui H, Ha N, Nguyen T, Nguyen A, Pham T, Jaya K and Tien V 2019 Integration of SWAT and QUAL2K for water quality modeling in a data scarce basin of Cau River basin in Vietnam Ecohydrology & Hydrobiology 19 210Borrero M 2011 Informe de Ingeniería Básica de la PTAR San Silvestre Barrancabermeja, Colombia (Bogotá: Unión Temporal San Silvestre) 98Cardona C 2011 Estudio de Factibilidad y Evaluación Detallada de Cuatro Alternativas de Tratamiento de Aguas Residuales para la Selección del Sistema Óptimo para la PTAR San Silvestre (Bogotá: Unión Temporal San Silvestre) 121Ministerio de Desarrollo Económico 2000 Reglamento Técnico del Sector de Agua Potable y Saneamiento Básico (Colombia: Ministerio de Desarrollo Económico)Sitti Wirdhana A 2017 Tank model application for Runoff and infiltration analysis on sub-Watersheds in Lalindu River in South East Sulawesi Indonesia J. Phys. Conf. 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 incorporada en las Obras Colectivas.

b.	Distribuir copias o fonogramas de las Obras, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública, incluyéndolas como incorporadas en Obras Colectivas, según corresponda.

c.	Distribuir copias de las Obras Derivadas que se generen, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública.
Los derechos mencionados anteriormente pueden ser ejercidos en todos los medios y formatos, actualmente conocidos o que se inventen en el futuro. Los derechos antes mencionados incluyen el derecho a realizar dichas modificaciones en la medida que sean técnicamente necesarias para ejercer los derechos en otro medio o formatos, pero de otra manera usted no está autorizado para realizar obras derivadas. Todos los derechos no otorgados expresamente por el Licenciante quedan por este medio reservados, incluyendo pero sin limitarse a aquellos que se mencionan en las secciones 4(d) y 4(e).

4. Restricciones.
La licencia otorgada en la anterior Sección 3 está expresamente sujeta y limitada por las siguientes restricciones:

a.	Usted puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra sólo bajo las condiciones de esta Licencia, y Usted debe incluir una copia de esta licencia o del Identificador Universal de Recursos de la misma con cada copia de la Obra que distribuya, exhiba públicamente, ejecute públicamente o ponga a disposición pública. No es posible ofrecer o imponer ninguna condición sobre la Obra que altere o limite las condiciones de esta Licencia o el ejercicio de los derechos de los destinatarios otorgados en este documento. No es posible sublicenciar la Obra. Usted debe mantener intactos todos los avisos que hagan referencia a esta Licencia y a la cláusula de limitación de garantías. Usted no puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra con alguna medida tecnológica que controle el acceso o la utilización de ella de una forma que sea inconsistente con las condiciones de esta Licencia. Lo anterior se aplica a la Obra incorporada a una Obra Colectiva, pero esto no exige que la Obra Colectiva aparte de la obra misma quede sujeta a las condiciones de esta Licencia. Si Usted crea una Obra Colectiva, previo aviso de cualquier Licenciante debe, en la medida de lo posible, eliminar de la Obra Colectiva cualquier referencia a dicho Licenciante o al Autor Original, según lo solicitado por el Licenciante y conforme lo exige la cláusula 4(c).

b.	Usted no puede ejercer ninguno de los derechos que le han sido otorgados en la Sección 3 precedente de modo que estén principalmente destinados o directamente dirigidos a conseguir un provecho comercial o una compensación monetaria privada. El intercambio de la Obra por otras obras protegidas por derechos de autor, ya sea a través de un sistema para compartir archivos digitales (digital file-sharing) o de cualquier otra manera no será considerado como estar destinado principalmente o dirigido directamente a conseguir un provecho comercial o una compensación monetaria privada, siempre que no se realice un pago mediante una compensación monetaria en relación con el intercambio de obras protegidas por el derecho de autor.

c.	Si usted distribuye, exhibe públicamente, ejecuta públicamente o ejecuta públicamente en forma digital la Obra o cualquier Obra Derivada u Obra Colectiva, Usted debe mantener intacta toda la información de derecho de autor de la Obra y proporcionar, de forma razonable según el medio o manera que Usted esté utilizando: (i) el nombre del Autor Original si está provisto (o seudónimo, si fuere aplicable), y/o (ii) el nombre de la parte o las partes que el Autor Original y/o el Licenciante hubieren designado para la atribución (v.g., un instituto patrocinador, editorial, publicación) en la información de los derechos de autor del Licenciante, términos de servicios o de otras formas razonables; el título de la Obra si está provisto; en la medida de lo razonablemente factible y, si está provisto, el Identificador Uniforme de Recursos (Uniform Resource Identifier) que el Licenciante especifica para ser asociado con la Obra, salvo que tal URI no se refiera a la nota sobre los derechos de autor o a la información sobre el licenciamiento de la Obra; y en el caso de una Obra Derivada, atribuir el crédito identificando el uso de la Obra en la Obra Derivada (v.g., "Traducción Francesa de la Obra del Autor Original," o "Guión Cinematográfico basado en la Obra original del Autor Original"). Tal crédito puede ser implementado de cualquier forma razonable; en el caso, sin embargo, de Obras Derivadas u Obras Colectivas, tal crédito aparecerá, como mínimo, donde aparece el crédito de cualquier otro autor comparable y de una manera, al menos, tan destacada como el crédito de otro autor comparable.

d.	Para evitar toda confusión, el Licenciante aclara que, cuando la obra es una composición musical:

i.	Regalías por interpretación y ejecución bajo licencias generales. El Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública o la ejecución pública digital de la obra y de recolectar, sea individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, SAYCO), las regalías por la ejecución pública o por la ejecución pública digital de la obra (por ejemplo Webcast) licenciada bajo licencias generales, si la interpretación o ejecución de la obra está primordialmente orientada por o dirigida a la obtención de una ventaja comercial o una compensación monetaria privada.

ii.	Regalías por Fonogramas. El Licenciante se reserva el derecho exclusivo de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, los consagrados por la SAYCO), una agencia de derechos musicales o algún agente designado, las regalías por cualquier fonograma que Usted cree a partir de la obra (“versión cover”) y distribuya, en los términos del régimen de derechos de autor, si la creación o distribución de esa versión cover está primordialmente destinada o dirigida a obtener una ventaja comercial o una compensación monetaria privada.

e.	Gestión de Derechos de Autor sobre Interpretaciones y Ejecuciones Digitales (WebCasting). Para evitar toda confusión, el Licenciante aclara que, cuando la obra sea un fonograma, el Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública digital de la obra (por ejemplo, webcast) y de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, ACINPRO), las regalías por la ejecución pública digital de la obra (por ejemplo, webcast), sujeta a las disposiciones aplicables del régimen de Derecho de Autor, si esta ejecución pública digital está primordialmente dirigida a obtener una ventaja comercial o una compensación monetaria privada.

5. Representaciones, Garantías y Limitaciones de Responsabilidad.
A MENOS QUE LAS PARTES LO ACORDARAN DE OTRA FORMA POR ESCRITO, EL LICENCIANTE OFRECE LA OBRA (EN EL ESTADO EN EL QUE SE ENCUENTRA) “TAL CUAL”, SIN BRINDAR GARANTÍAS DE CLASE ALGUNA RESPECTO DE LA OBRA, YA SEA EXPRESA, IMPLÍCITA, LEGAL O CUALQUIERA OTRA, INCLUYENDO, SIN LIMITARSE A ELLAS, GARANTÍAS DE TITULARIDAD, COMERCIABILIDAD, ADAPTABILIDAD O ADECUACIÓN A PROPÓSITO DETERMINADO, AUSENCIA DE INFRACCIÓN, DE AUSENCIA DE DEFECTOS LATENTES O DE OTRO TIPO, O LA PRESENCIA O AUSENCIA DE ERRORES, SEAN O NO DESCUBRIBLES (PUEDAN O NO SER ESTOS DESCUBIERTOS). ALGUNAS JURISDICCIONES NO PERMITEN LA EXCLUSIÓN DE GARANTÍAS IMPLÍCITAS, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

6. Limitación de responsabilidad.
A MENOS QUE LO EXIJA EXPRESAMENTE LA LEY APLICABLE, EL LICENCIANTE NO SERÁ RESPONSABLE ANTE USTED POR DAÑO ALGUNO, SEA POR RESPONSABILIDAD EXTRACONTRACTUAL, PRECONTRACTUAL O CONTRACTUAL, OBJETIVA O SUBJETIVA, SE TRATE DE DAÑOS MORALES O PATRIMONIALES, DIRECTOS O INDIRECTOS, PREVISTOS O IMPREVISTOS PRODUCIDOS POR EL USO DE ESTA LICENCIA O DE LA OBRA, AUN CUANDO EL LICENCIANTE HAYA SIDO ADVERTIDO DE LA POSIBILIDAD DE DICHOS DAÑOS. ALGUNAS LEYES NO PERMITEN LA EXCLUSIÓN DE CIERTA RESPONSABILIDAD, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

7. Término.

a.	Esta Licencia y los derechos otorgados en virtud de ella terminarán automáticamente si Usted infringe alguna condición establecida en ella. Sin embargo, los individuos o entidades que han recibido Obras Derivadas o Colectivas de Usted de conformidad con esta Licencia, no verán terminadas sus licencias, siempre que estos individuos o entidades sigan cumpliendo íntegramente las condiciones de estas licencias. Las Secciones 1, 2, 5, 6, 7, y 8 subsistirán a cualquier terminación de esta Licencia.

b.	Sujeta a las condiciones y términos anteriores, la licencia otorgada aquí es perpetua (durante el período de vigencia de los derechos de autor de la obra). No obstante lo anterior, el Licenciante se reserva el derecho a publicar y/o estrenar la Obra bajo condiciones de licencia diferentes o a dejar de distribuirla en los términos de esta Licencia en cualquier momento; en el entendido, sin embargo, que esa elección no servirá para revocar esta licencia o que deba ser otorgada , bajo los términos de esta licencia), y esta licencia continuará en pleno vigor y efecto a menos que sea terminada como se expresa atrás. La Licencia revocada continuará siendo plenamente vigente y efectiva si no se le da término en las condiciones indicadas anteriormente.

8. Varios.

a.	Cada vez que Usted distribuya o ponga a disposición pública la Obra o una Obra Colectiva, el Licenciante ofrecerá al destinatario una licencia en los mismos términos y condiciones que la licencia otorgada a Usted bajo esta Licencia.

b.	Si alguna disposición de esta Licencia resulta invalidada o no exigible, según la legislación vigente, esto no afectará ni la validez ni la aplicabilidad del resto de condiciones de esta Licencia y, sin acción adicional por parte de los sujetos de este acuerdo, aquélla se entenderá reformada lo mínimo necesario para hacer que dicha disposición sea válida y exigible.

c.	Ningún término o disposición de esta Licencia se estimará renunciada y ninguna violación de ella será consentida a menos que esa renuncia o consentimiento sea otorgado por escrito y firmado por la parte que renuncie o consienta.

d.	Esta Licencia refleja el acuerdo pleno entre las partes respecto a la Obra aquí licenciada. No hay arreglos, acuerdos o declaraciones respecto a la Obra que no estén especificados en este documento. El Licenciante no se verá limitado por ninguna disposición adicional que pueda surgir en alguna comunicación emanada de Usted. Esta Licencia no puede ser modificada sin el consentimiento mutuo por escrito del Licenciante y Usted.
0000-0001-6772-44319f0bdf54d830286b6e18ffcbfb4b42dd6000000-0002-2083-69781b1c54c0164cb75e102a975426a978806000000-0002-4558-461546f42b06cc840c5fe64c0fea50f74394600 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