Water quantity and quality in headwater catchments: Comprehensive data assessment, modeling, and simulation of scenarios

Tesis doctoral

Autores:: Fernández Acosta, Nicolás

Tipo de recurso:: Doctoral thesis

Fecha de publicación:: 2023

Institución:: Universidad de los Andes

Repositorio:: Séneca: repositorio Uniandes

Idioma:: eng

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network_acronym_str	UNIANDES2
network_name_str	Séneca: repositorio Uniandes
repository_id_str
dc.title.none.fl_str_mv	Water quantity and quality in headwater catchments: Comprehensive data assessment, modeling, and simulation of scenarios
title	Water quantity and quality in headwater catchments: Comprehensive data assessment, modeling, and simulation of scenarios
spellingShingle	Water quantity and quality in headwater catchments: Comprehensive data assessment, modeling, and simulation of scenarios Water quality Hydrology Headwater catchments Modeling Environmental assessment Ingeniería
title_short	Water quantity and quality in headwater catchments: Comprehensive data assessment, modeling, and simulation of scenarios
title_full	Water quantity and quality in headwater catchments: Comprehensive data assessment, modeling, and simulation of scenarios
title_fullStr	Water quantity and quality in headwater catchments: Comprehensive data assessment, modeling, and simulation of scenarios
title_full_unstemmed	Water quantity and quality in headwater catchments: Comprehensive data assessment, modeling, and simulation of scenarios
title_sort	Water quantity and quality in headwater catchments: Comprehensive data assessment, modeling, and simulation of scenarios
dc.creator.fl_str_mv	Fernández Acosta, Nicolás
dc.contributor.advisor.none.fl_str_mv	Camacho Botero, Luis Alejandro
dc.contributor.author.none.fl_str_mv	Fernández Acosta, Nicolás
dc.contributor.jury.none.fl_str_mv	Medaglia González, Andrés L Buytaert, Wouter Nejadhashemi, A. Pouyan Rodríguez Sandoval, Erasmo Alfredo
dc.contributor.researchgroup.es_CO.fl_str_mv	Centro de Investigaciones en Ingenieria Ambiental
dc.subject.keyword.none.fl_str_mv	Water quality Hydrology Headwater catchments Modeling Environmental assessment
topic	Water quality Hydrology Headwater catchments Modeling Environmental assessment Ingeniería
dc.subject.themes.es_CO.fl_str_mv	Ingeniería
description	Tesis doctoral
publishDate	2023
dc.date.accessioned.none.fl_str_mv	2023-02-06T21:50:32Z
dc.date.available.none.fl_str_mv	2023-02-06T21:50:32Z
dc.date.issued.none.fl_str_mv	2023-02-03
dc.type.es_CO.fl_str_mv	Trabajo de grado - Doctorado
dc.type.driver.none.fl_str_mv	info:eu-repo/semantics/doctoralThesis
dc.type.version.none.fl_str_mv	info:eu-repo/semantics/acceptedVersion
dc.type.coar.none.fl_str_mv	http://purl.org/coar/resource_type/c_db06
dc.type.content.es_CO.fl_str_mv	Text
dc.type.redcol.none.fl_str_mv	https://purl.org/redcol/resource_type/TD
format	http://purl.org/coar/resource_type/c_db06
status_str	acceptedVersion
dc.identifier.uri.none.fl_str_mv	http://hdl.handle.net/1992/64730
dc.identifier.doi.none.fl_str_mv	10.57784/1992/64730
dc.identifier.instname.es_CO.fl_str_mv	instname:Universidad de los Andes
dc.identifier.reponame.es_CO.fl_str_mv	reponame:Repositorio Institucional Séneca
dc.identifier.repourl.es_CO.fl_str_mv	repourl:https://repositorio.uniandes.edu.co/
url	http://hdl.handle.net/1992/64730
identifier_str_mv	10.57784/1992/64730 instname:Universidad de los Andes reponame:Repositorio Institucional Séneca repourl:https://repositorio.uniandes.edu.co/
dc.language.iso.es_CO.fl_str_mv	eng
language	eng
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In Journal of Applied Statistics (Vol. 23, Issues 2¿3). https://doi.org/10.1080/02664769624206
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spelling	Attribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Camacho Botero, Luis Alejandrovirtual::5319-1Fernández Acosta, Nicolás4235df00-b43a-47dc-a722-ab8da8719a49600Medaglia González, Andrés LBuytaert, WouterNejadhashemi, A. PouyanRodríguez Sandoval, Erasmo AlfredoCentro de Investigaciones en Ingenieria Ambiental2023-02-06T21:50:32Z2023-02-06T21:50:32Z2023-02-03http://hdl.handle.net/1992/6473010.57784/1992/64730instname:Universidad de los Andesreponame:Repositorio Institucional Sénecarepourl:https://repositorio.uniandes.edu.co/Tesis doctoralPhD thesisWater availability is a major concern globally and relies highly on the quantity and quality of water. In headwater catchments of developing countries, managing said availability is additionally restricted by several factors. Among them, having scarce yet heterogeneous information regarding water quantity and quality is significant. This is because such combination impedes performing appropriate assessments, of both quantity and quality, and implementing predictive models to support decisions in these catchments. To address this issue, a framework comprising three stages and several activities is proposed. Such framework allows for: i) conducting a comprehensive assessment of water quantity and quality; ii) developing a predictive models supported on such assessment; and iii) simulating scenarios to resolve conflicts between uses and quality of water. In the case of water quantity, the three stages focus on assessing hydrological data, preparing datasets for modeling, and developing models in daily and sub-daily resolutions. The last stage is grounded on a data-based mechanistic modeling approach and includes a novel combination of baseflow separation with digital filters and multi-objective optimization principles. The sequence of stages allows for the development of reliable yet mathematically simple models, requiring fewer inputs than data-intensive alternatives. Besides, having a hydrophysical meaning, the models are suitable for simulating alternative scenarios. In the case of quality, the three stages center in assessing water quality data, developing water quality models in headwater catchments, and simulating scenarios to resolve conflicts between uses and quality of water. These stages involve multivariate statistic techniques (i.e., Analyses of Principal Components and Clusters), and follow a modeling protocol mainly designed for mountain rivers in developing countries. The framework is applied to the Lenguazaque River Basin, a 290 km2 headwater catchment in the Andean Fuquene Lake Watershed. Here, stakeholders are now optimizing water allocations for all users, given numerous issues such as severe pollution, and conflicts for the use of water for conservation, agriculture, and coal mining. The framework led to obtaining daily hydrological models with an acceptable performance, significantly better than a semi-distributed model. The performance of sub-daily models was however sub-optimal, yet it can be improved by enhancing the quality of sub-daily datasets and the efficiency of computational algorithms. In addition, the framework disclosed pathogens, nutrients, organic matter, and several metals, including the highly toxic Cr and Pb, among the most significant water quality constituents. It also showed that the driest season in the catchment is the one with highest pollution levels (i.e., January to March). Meanwhile, the water quality model reproduced the concentrations of pathogens, organic matter, and most nutrients, and showed a predictive capacity. This capacity was measured with an objective function to be minimized based on a normalized Root Mean Square Error. It increased only 14% when verified with a different dataset. Finally, the simulation of alternative scenarios showed that centralized treatment is not sufficient to make water safe for potabilization and agriculture in the catchment. For this reason, improving water quality in the sub-basins at the highest altitudes is required. Given these results in the case study, the proposed framework can be useful for similar purposes in other headwater catchments with similar restrictions of information, and where an improved management of water availability is needed.Doctor en IngenieríaDoctoradoCaracterización, modelación, análisis y sostenibilidad de hidrosistemas y ecosistemasHidrología, meteorología y variabilidad climática128 páginasapplication/pdfengUniversidad de los AndesDoctorado en IngenieríaFacultad de IngenieríaDepartamento de Ingeniería Civil y AmbientalWater quantity and quality in headwater catchments: Comprehensive data assessment, modeling, and simulation of scenariosTrabajo de grado - Doctoradoinfo:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_db06Texthttps://purl.org/redcol/resource_type/TDWater qualityHydrologyHeadwater catchmentsModelingEnvironmental assessmentIngenieríaAbbaspour, K. (2015). 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(2007). Estudios e investigaciones de las obras de restauración ambiental y de la navegación del Canal del Dique. 45. http://web01eja.cormagdalena.com.co/aplicaciones/CanalDique/informes UNacional.htmCreech, C.T., Siqueira, R. B., Selegean, J. P., & Miller, C. (2015). Anthropogenic impacts to the sediment budget of São Francisco River navigation channel using SWAT. International Journal of Agricultural and Biological Engineering, 8(3), 1¿20. https://doi.org/10.3965/j.ijabe.20150803.1372Daus, A. D., Frind, E. O., & Sudicky, E. A. (1985). Comparative error analysis in finite element formulations of the advection-dispersion equation. Advances in Water Resources, 8(2), 86¿95. https://doi.org/10.1016/0309-1708(85)90005-3Debele, B., Srinivasan, R., & Parlange, J. Y. (2008). Coupling upland watershed and downstream waterbody hydrodynamic and water quality models (SWAT and CE-QUAL-W2) for better water resources management in complex river basins. 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Water quantity and quality in headwater catchments: Comprehensive data assessment, modeling, and simulation of scenarios

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