Leachate Treatment via TiO2/UV Heterogeneous Photocatalysis: A Multiple Polynomial Regression Model
Advanced oxidation processes such as TiO2/UV heterogeneous photocatalysis are suitable treatment methods for wastewater with high pollutant loads such as landfill leachates. Optimizing the variables that influence the process is a fundamental aspect. However, in this regard, experimental conditions...
- Autores:
-
Becerra Moreno, Dorance
Machuca-Martínez, Fiderman
Maturana Cordoba, Aymer Yeferson
Villamizar, Salvador
SOTO VERJEL, JOSEPH WBEIMAR
Soto Vergel, Angelo Joseph
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2023
- Institución:
- Universidad Francisco de Paula Santander
- Repositorio:
- Repositorio Digital UFPS
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.ufps.edu.co:ufps/6746
- Acceso en línea:
- https://repositorio.ufps.edu.co/handle/ufps/6746
https://doi.org/10.15446/ing.investig.101497
- Palabra clave:
- Lixiviado
TiO2
fotocatálisis heterogénea
modelo
regresión polinómica
- Rights
- openAccess
- License
- Esta obra está bajo una licencia Creative Commons Attribution 4.0 International .
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Leachate Treatment via TiO2/UV Heterogeneous Photocatalysis: A Multiple Polynomial Regression Model |
| dc.title.spa.fl_str_mv |
Tratamiento de lixiviados mediante fotocatálisis heterogénea TiO2/UV: un modelo de regresión polinomial múltiple |
| title |
Leachate Treatment via TiO2/UV Heterogeneous Photocatalysis: A Multiple Polynomial Regression Model |
| spellingShingle |
Leachate Treatment via TiO2/UV Heterogeneous Photocatalysis: A Multiple Polynomial Regression Model Lixiviado TiO2 fotocatálisis heterogénea modelo regresión polinómica |
| title_short |
Leachate Treatment via TiO2/UV Heterogeneous Photocatalysis: A Multiple Polynomial Regression Model |
| title_full |
Leachate Treatment via TiO2/UV Heterogeneous Photocatalysis: A Multiple Polynomial Regression Model |
| title_fullStr |
Leachate Treatment via TiO2/UV Heterogeneous Photocatalysis: A Multiple Polynomial Regression Model |
| title_full_unstemmed |
Leachate Treatment via TiO2/UV Heterogeneous Photocatalysis: A Multiple Polynomial Regression Model |
| title_sort |
Leachate Treatment via TiO2/UV Heterogeneous Photocatalysis: A Multiple Polynomial Regression Model |
| dc.creator.fl_str_mv |
Becerra Moreno, Dorance Machuca-Martínez, Fiderman Maturana Cordoba, Aymer Yeferson Villamizar, Salvador SOTO VERJEL, JOSEPH WBEIMAR Soto Vergel, Angelo Joseph |
| dc.contributor.author.none.fl_str_mv |
Becerra Moreno, Dorance Machuca-Martínez, Fiderman Maturana Cordoba, Aymer Yeferson Villamizar, Salvador SOTO VERJEL, JOSEPH WBEIMAR Soto Vergel, Angelo Joseph |
| dc.subject.proposal.eng.fl_str_mv |
Lixiviado TiO2 fotocatálisis heterogénea |
| topic |
Lixiviado TiO2 fotocatálisis heterogénea modelo regresión polinómica |
| dc.subject.proposal.spa.fl_str_mv |
modelo regresión polinómica |
| description |
Advanced oxidation processes such as TiO2/UV heterogeneous photocatalysis are suitable treatment methods for wastewater with high pollutant loads such as landfill leachates. Optimizing the variables that influence the process is a fundamental aspect. However, in this regard, experimental conditions are limited in terms of resources and time, which is why modeling allows obtaining a general understanding of the phenomenon from a set of experimental data. This work sought to model the photocatalytic process via multivariate polynomial regression, considering variables such as the catalyst concentration, the pH level, and the accumulated energy concerning the percentage of degradation in terms of dissolved organic carbon (DOC). The implemented fitting method resulted in a third-degree polynomial with an R2 of 0,8652, concluding that the model and its conclusions are valid. Moreover, with greater degrees, the model curve overfitted, even with better R2. DOC abatement showed a negative correlation with pH and the catalyst dose, while an opposite trend was observed for the accumulated energy. The model predictions allow inferring that, at low catalyst doses and medium and high pH levels, it is possible to find maximum degradations at low cumulative energies |
| publishDate |
2023 |
| dc.date.issued.none.fl_str_mv |
2023-12-13 |
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2024-03-21T14:57:09Z |
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2024-03-21T14:57:09Z |
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Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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https://repositorio.ufps.edu.co/handle/ufps/6746 |
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https://doi.org/10.15446/ing.investig.101497 https://doi.org/10.15446/ing.investig.101497 |
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https://repositorio.ufps.edu.co/handle/ufps/6746 https://doi.org/10.15446/ing.investig.101497 |
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eng |
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eng |
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D. Becerra Moreno, F. Machuca-Martínez, A. Maturana, S. E. Villamizar Mosquera, J. W. Soto Verjel, and Ángelo J. Soto Vergel, “Leachate Treatment via TiO2/UV Heterogeneous Photocatalysis: A Multiple Polynomial Regression Model”, Ing. Inv., vol. 43, no. 3, p. e101497, Aug. 2023. |
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Vol.43 N° 3. (2023) |
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10 |
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3 (2023) |
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1 |
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43 |
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Esta obra está bajo una licencia Creative Commons Attribution 4.0 International . |
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http://purl.org/coar/access_right/c_abf2 |
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Atribución 4.0 Internacional (CC BY 4.0) |
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Esta obra está bajo una licencia Creative Commons Attribution 4.0 International . https://creativecommons.org/licenses/by/4.0/ Atribución 4.0 Internacional (CC BY 4.0) http://purl.org/coar/access_right/c_abf2 |
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10 Páginas |
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Ingeniería e Investigación |
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Bogotá,Colombia |
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https://revistas.unal.edu.co/index.php/ingeinv/article/view/101497 |
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Universidad Francisco de Paula Santander |
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Becerra Moreno, Dorance81ffadb12b7f7803d974959f5ecd568c600Machuca-Martínez, Fiderman9a1fd86dddd0f27fd5ac46364f0a3a8d600Maturana Cordoba, Aymer Yeferson4fda791c2c4cdf084ed3d2dfac6494b7600Villamizar, Salvador3f0f9aa168bf581bc499eea73055c742600SOTO VERJEL, JOSEPH WBEIMAR44d142e3bd8d3b0cd577d0b6d36b3ee1600Soto Vergel, Angelo Joseph0ba0e1be3cff1bc647809b1172ddd73b6002024-03-21T14:57:09Z2024-03-21T14:57:09Z2023-12-13https://repositorio.ufps.edu.co/handle/ufps/6746https://doi.org/10.15446/ing.investig.101497https://doi.org/10.15446/ing.investig.101497Advanced oxidation processes such as TiO2/UV heterogeneous photocatalysis are suitable treatment methods for wastewater with high pollutant loads such as landfill leachates. Optimizing the variables that influence the process is a fundamental aspect. However, in this regard, experimental conditions are limited in terms of resources and time, which is why modeling allows obtaining a general understanding of the phenomenon from a set of experimental data. This work sought to model the photocatalytic process via multivariate polynomial regression, considering variables such as the catalyst concentration, the pH level, and the accumulated energy concerning the percentage of degradation in terms of dissolved organic carbon (DOC). The implemented fitting method resulted in a third-degree polynomial with an R2 of 0,8652, concluding that the model and its conclusions are valid. Moreover, with greater degrees, the model curve overfitted, even with better R2. DOC abatement showed a negative correlation with pH and the catalyst dose, while an opposite trend was observed for the accumulated energy. The model predictions allow inferring that, at low catalyst doses and medium and high pH levels, it is possible to find maximum degradations at low cumulative energiesLos procesos de oxidación avanzada como la fotocatálisis heterogénea TiO2/UV son métodos de tratamiento adecuados para aguas residuales con altas cargas contaminantes como los lixiviados de rellenos sanitarios. La optimización de las variables que influyen en el proceso es un aspecto fundamental. Sin embargo, en este aspecto, las condiciones experimentales son limitadas en términos de recursos y tiempo, por lo que el modelado permite obtener una comprensión general del fenómeno a partir de un conjunto de datos experimentales. Este trabajo pretendió modelar el proceso fotocatalítico mediante regresión polinómica multivariada, teniendo en cuenta variables como la concentración del catalizador, el nivel de pH y la energía acumulada en relación con el porcentaje de degradación en términos de carbón orgánico disuelto (DOC). El método de ajuste implementado dio como resultado un polinomio de grado 3 con un R2 de 0,8652, concluyendo que el modelo y sus conclusiones son válidos. Además, a mayor grado, la curva del modelo se sobreajustó, incluso con mejor R2. La remoción de DOC mostró una correlación negativa con el pH y la dosis de catalizador, y se observó una tendencia opuesta para la energía acumulada. Finalmente, las predicciones del modelo permiten inferir que, a dosis bajas del catalizador y niveles medios y altos de pH, es posible encontrar degradaciones máximas con bajas energías acumuladas10 Páginasapplication/pdfengIngeniería e InvestigaciónBogotá,ColombiaD. Becerra Moreno, F. Machuca-Martínez, A. Maturana, S. E. Villamizar Mosquera, J. W. Soto Verjel, and Ángelo J. Soto Vergel, “Leachate Treatment via TiO2/UV Heterogeneous Photocatalysis: A Multiple Polynomial Regression Model”, Ing. Inv., vol. 43, no. 3, p. e101497, Aug. 2023.Vol.43 N° 3. (2023)103 (2023)143Esta obra está bajo una licencia Creative Commons Attribution 4.0 International .https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessAtribución 4.0 Internacional (CC BY 4.0)http://purl.org/coar/access_right/c_abf2https://revistas.unal.edu.co/index.php/ingeinv/article/view/101497Leachate Treatment via TiO2/UV Heterogeneous Photocatalysis: A Multiple Polynomial Regression ModelTratamiento de lixiviados mediante fotocatálisis heterogénea TiO2/UV: un modelo de regresión polinomial múltipleArtículo 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_970fb48d4fbd8a85LixiviadoTiO2fotocatálisis heterogéneamodeloregresión polinómicaAcosta-Herazo, R., Mueses, M. Á., Puma, G. L., and Machu-ca-Martínez, F. (2019). Impact of photocatalyst optical properties on the efficiency of solar photocatalytic reac-tors rationalized by the concepts of initial rate of photon absorption (IRPA) dimensionless boundary layer of photon absorption and apparent optical thickness. Chemical Engi-neering Journal, 356, 839-849.Akter, S., Islam, M. S., Kabir, M. H., Shaikh, M. A. A., and Ga-fur, M. A. (2022). UV/TiO2 photodegradation of metroni-dazole, ciprofloxacin and sulfamethoxazole in aqueous so-lution: An optimization and kinetic study. Arabian Journal of Chemistry, 15(7), 103900.https://doi.org/10.1016/j.jece.2019.103248Al-Mamun, M.R., Kader, S., Islam, M. S., and Khan, M. Z. H. (2019). Photocatalytic activity improvement and application of UV-TiO2 photocatalysis in textile wastewater treatment: A review. Journal of Environmental Chemical Engineering, 7(5), 103248.Al-Mamun, M. R., Kader, S., and Islam, M. S. (2021). Solar-TiO2 immobilized photocatalytic reactors performance assessment in the degradation of methyl orange dye in aqueous solution. Environmental Nanotechnology, Monitoring & Management, 16, 100514. https://doi.org/10.1016/j.enmm.2021.100514Amigh, P., and Mokhtarani, N. (2022). Leachate post treatment, using Ag-TiO2 nanoparticles immobilized on rotating vanes. Journal of Water Process Engineering, 47, 102842. https://doi.org/10.1016/j.jwpe.2022.102842Ateia, M., Alalm, M. G., Awfa, D., Johnson, M. S., and Yoshimura, C. (2020). Modeling the degradation and disinfection of water pollutants by photocatalysts and composites: A critical review. Science of The Total Environment, 698, 134197. https://doi.org/10.1016/j.scitotenv.2019.134197Azadi, S., Karimi-Jashni, A., and Javadpour, S. (2018). Modeling and optimization of photocatalytic treatment of landfill leachate using tungsten-doped TiO2 nano-photocatalysts: Application of artificial neural network and genetic algorithm. Process Safety and Environmental Protection, 117, 267–277. https://doi.org/10.1016/j.psep.2018.03.038Balarabe, B. Y., and Maity, P. (2022). Visible light-driven complete photocatalytic oxidation of organic dye by plasmonic Au-TiO2 nanocatalyst under batch and continuous flow condition. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 655, 130247. https://doi.org/10.1016/j.colsurfa.2022.130247Becerra, D., Soto, J., Villamizar, S., Machuca-Martínez, F., and Ramírez, L. (2020). Alternative for the treatment of leachates generated in a landfill of Norte de Santander – Colombia, by Means of the coupling of a photocatalytic and biological aerobic process. Topics in Catalysis, 63, 1336-1349. https://doi.org/10.1007/s11244-020-01284-1Berberidou, C., Kitsiou, V., Lambropoulou, D. A., Antoniadis, Α., Ntonou, E., Zalidis, G. C., and Poulios, I. (2017). 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International Biodeterioration & Biodegradation, 146, 104829. https://doi.org/10.1016/j.ibiod.2019.104829ORIGINALLeachate Treatment via TiO2 Heterogeneous Photocatalysis A Multiple Polynomial Regression Model.pdfLeachate Treatment via TiO2 Heterogeneous Photocatalysis A Multiple Polynomial Regression Model.pdfapplication/pdf1046876https://repositorio.ufps.edu.co/bitstream/ufps/6746/1/Leachate%20Treatment%20via%20TiO2%20Heterogeneous%20Photocatalysis%20A%20Multiple%20Polynomial%20Regression%20Model.pdf0307fc06880d6a03ddae5d5d6d2edb21MD51open accessLICENSElicense.txtlicense.txttext/plain; charset=utf-814828https://repositorio.ufps.edu.co/bitstream/ufps/6746/2/license.txt2f9959eaf5b71fae44bbf9ec84150c7aMD52open accessTEXTLeachate Treatment via TiO2 Heterogeneous Photocatalysis A Multiple Polynomial Regression Model.pdf.txtLeachate Treatment via TiO2 Heterogeneous Photocatalysis A Multiple Polynomial Regression Model.pdf.txtExtracted 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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.
0000-0001-8556-991481ffadb12b7f7803d974959f5ecd568c6000000-0002-4553-39579a1fd86dddd0f27fd5ac46364f0a3a8d6000000-0003-3518-06064fda791c2c4cdf084ed3d2dfac6494b76000000-0002-6485-24943f0f9aa168b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