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Numerical simulation framework for water quality in tropical water systems
dc.contributor.advisor | Roux, Hélène | |
dc.contributor.advisor | Piedrahíta Escobar, Carlos César | |
dc.contributor.advisor | Escobar, Jorge | |
dc.contributor.advisor | Montoya Jaramillo, Luis Javier | |
dc.contributor.author | Alzate Gómez, Juliana Andrea | |
dc.coverage.spatial | Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees | eng |
dc.coverage.spatial | Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degreesLong: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees | |
dc.date.accessioned | 2024-07-17T13:54:00Z | |
dc.date.available | 2024-07-17T13:54:00Z | |
dc.date.issued | 2024-05-27 | |
dc.identifier.other | T 0539 2023 | |
dc.identifier.uri | http://hdl.handle.net/11407/8380 | |
dc.description.abstract | La modelación de la calidad del agua desempeña un papel importante en la comprensión de la gravedad y los impactos diferenciales de los sistemas hidrológicos tropicales. Los cambios en los conceptos de flujo ambiental en ecosistemas lénticos modificados por el hombre pueden afectar a la hidrodinámica, el transporte de sedimentos, la hidrología y, por ende, la calidad del agua. Comprender la dinámica de la calidad del agua en los sistemas tropicales es importante porque hay muchos problemas en el nexo energía-agua-alimentación y la calidad del agua es un determinante clave de estos procesos. En este sentido, la representación de sistemas hidrodinámicos muy complejos requiere el desarrollo de modelos integrados de calidad del agua con un enfoque multi espacio-temporal acoplado que simulen con eficacia y precisión el flujo, los parámetros de calidad del agua y la dinámica a diferentes escalas en los ecosistemas tropicales. Algunas de las deficiencias de los enfoques adoptados actualmente en muchos estudios no integrados, en los que no se adopta un enfoque híbrido al estudiar la relación calidad del agua-medio ambiente a través de escalas espaciales y periodos temporales, muestran la necesidad de un enfoque conceptual más integrado. La investigación presentada propone un enfoque multi espacio-temporal acoplado que integra simultáneamente la hidrodinámica, la hidrología y la calidad del agua y lo aplica a múltiples casos de estudio. Esta propuesta demuestra que, utilizando un modelo de conjunto basado en una representación realista de todos los procesos relevantes, se puede conseguir una precisión mejor o similar a la de las aproximaciones tradicionales de la calidad del agua. La robustez del modelo proporciona una mayor confianza en los resultados previstos. En cuanto a las relaciones entre la calidad del agua y las variables hidrometeorológicas en embalses tropicales, los resultados muestran que, para todas las estaciones de monitoreo analizadas, las variables de calidad del agua asociadas al proceso de OD son DQO, DBO y PO₄. Asimismo, la precipitación y el caudal fueron los parámetros hidrometeorológicos que tuvieron mayor impacto en la calidad del agua. Además, el análisis de componentes principales (ACP) nos permitió identificar que la fuerza de las relaciones entre la calidad del agua y la hidrometeorología cambia dependiendo de la ubicación del sitio de monitoreo. Finalmente, la implementación de un modelo VAR mostró buenas métricas de rendimiento para las predicciones de oxígeno disuelto basadas en todos los análisis. En el tema del análisis del intercambio aire-agua en un embalse tropical colombiano, el análisis muestra que los parámetros más cruciales para una correcta representación del comportamiento de la temperatura observado son el coeficiente de intercambio de calor y el viento. Todos los diferentes enfoques probados tienen limitaciones, pero pueden reproducir las tendencias de temperatura del embalse a diferentes profundidades con una desviación estándar máxima que oscila entre 3°C y 8°C. En cuanto a la implementación de un modelo integrado para el caso específico de un río tropical utilizando datos de campo a corto plazo para desarrollar un modelo mecanicista de interacciones biomasa-nutrientes del perifiton. Los resultados muestran que fue posible calibrar el modelo con datos experimentales y calcular nutrientes, requerimientos de espacio y pérdidas por desprendimiento y velocidad de fricción. Y este estudio demuestra la necesidad de modelar nutrientes, factores hidrológicos y velocidades de fricción para estimar el desprendimiento y simular con precisión el perifiton. Finalmente, se presenta una discusión sobre la necesidad de este tipo de herramientas integradas para representar sistemas reales complejos y su potencial para la toma de decisiones. | spa |
dc.description.abstract | Water quality modeling plays an important role in understanding the severity and differential impacts of tropical hydrological systems. Changes in environmental flow concepts in human-modified lentic ecosystems can affect hydrodynamics, sediment transport, hydrology, and thus water quality. Understanding the dynamics of water quality in tropical systems is important because there are many issues in the energy-water-food nexus and water quality is a key determinant of these processes. In this sense, representing very complex hydrodynamic systems requires the development of integrated multi-spatiotemporally coupled approach water quality models that effectively and accurately simulate flow, water quality parameters and dynamics at different scales in tropical ecosystems. Some of the shortcomings of the approaches currently adopted in many non-integrated studies, where not hybrid approach when studying the water quality-environment relationship across spatial scales and temporal periods, show the need for a more integrated conceptual approach. The research presented proposes a multi-spatiotemporal coupled approach that simultaneously integrates hydrodynamics, hydrology, and water quality and applies it to multiple case studies. This proposal shows that by using an ensemble model based on a realistic representation of all relevant processes, better or similar accuracy than traditional water quality approximations can be achieved. The robustness of the model provides greater confidence in the predicted results. Regarding relationship between water quality and hydrometeorological variables in tropical reservoirs the results show that, for all monitoring stations, the water quality variables associated with the DO process are COD, BOD, and PO₄. Likewise, precipitation and flow discharge were the hydrometeorological parameters that had the most significant impact in water quality. Also, the principal component analysis (PCA) allowed us to identify that the strength of the relationships between water quality and hydrometeorology changes depending on the location of the monitoring site. Finally, the implementation of a VAR model showed good performance metrics for dissolved oxygen predictions based on all analyses. On the issue analysis of air-water exchange in a Colombian tropical reservoir the analysis shows that the most crucial parameter for a correct representation of the observed temperature behavior are the heat exchange coefficient and the wind. The different approaches tested all have limitations, but they can reproduce reservoir temperature trends at different depths with a maximum standard deviation ranging from 3°C to 8°C. The implementation of an integrated model for the specific case of a tropical river using short-term field data to develop a mechanistic model of periphyton biomass-nutrient interactions. The results show that was possible to calibrate the model with experimental data, and calculated nutrients, space requirements, and losses due to detachment and friction velocity. And this study demonstrates the necessity to model nutrients, hydrological factors, and friction velocities to estimate detachment to accurately simulate periphyton. Finally, a discussion about the need for this type of integrated tool to represent complex real systems and its potential for decision-making is presented. | eng |
dc.format.extent | p. 1-227 | |
dc.format.medium | Electrónico | |
dc.format.mimetype | application/pdf | |
dc.language.iso | spa | |
dc.publisher | Universidad de Medellín | spa |
dc.publisher | Universidad de Medellín | |
dc.publisher | Institut de Mécanique des Fluides de Toulouse | |
dc.publisher | Pontificia Universidad Javeriana | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0 | * |
dc.title | Numerical simulation framework for water quality in tropical water systems | spa |
dc.rights.accessrights | info:eurepo/semantics/openAccess | |
dc.publisher.program | Doctorado en Modelación y Ciencia Computacional | |
dc.subject.lemb | Calidad del agua - Mediciones | spa |
dc.subject.lemb | Hidrodinámica | spa |
dc.subject.lemb | Hidrología | spa |
dc.subject.lemb | Hidrometeorología | spa |
dc.subject.lemb | Métodos de simulación | spa |
dc.subject.lemb | Modelos matemáticos | spa |
dc.relation.citationstartpage | 1 | |
dc.relation.citationendpage | 227 | |
dc.audience | Comunidad Universidad de Medellín | |
dc.publisher.faculty | Facultad de Ciencias Básicas | |
dc.publisher.place | Medellín | |
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dc.rights.creativecommons | Attribution-NonCommercial-ShareAlike 4.0 International | * |
dc.type.coar | http://purl.org/coar/resource_type/c_bdcc | |
dc.type.version | info:eu-repo/semantics/publishedVersion | |
dc.type.version | info:eu-repo/semantics/acceptedVersion | |
dc.type.local | Tesis Doctoral | |
dc.type.driver | info:eu-repo/semantics/doctoralThesis | |
dc.identifier.reponame | reponame:Repositorio Institucional Universidad de Medellín | spa |
dc.identifier.instname | instname:Universidad de Medellín | spa |
dc.description.degreename | Doctor en Modelación y Ciencia Computacional | |
dc.description.degreelevel | Doctorado |
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