Verificação da Eficiência e Eficácia de um Algoritmo Evolucionário Multi-objetivo na Calibração Automática do Modelo Hidrológico IPH II

Bravo, Juan Martín; Collischonn, Walter; Eduardo, Carlos; Tucci, Morelli

doi:10.21168/rbrh.v14n3.p37-50

Cited by 9 publications

(5 citation statements)

References 18 publications

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“…In some cases is acceptable or even desirable to have more than solution, like in a hydrologic model where a set of parameters could better represent the dry season and another set, the wet season Yapo et al, 1998;Tucci et al, 2009). However, it is often necessary to obtain a single response that represents a best compromise solution.…”

Section: Subject To ∈mentioning

confidence: 99%

External control and automatic calibration of the HEC-RAS NSM-I water quality model

Lima¹,

Fan²,

Siqueira³

2020

Preprint

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Calibration of models is a common procedure required to properly reproduce a system under analysis. In the present study, we developed a tool integrating the HEC-RAS NSM-I water quality model with the optimization algorithm SCE-UA in order to allow the automatic calibration.The tool's performance was assessed in two experiments involving a theoretical situation, when it was used to approximate a previously known set of parameters, and a real world application, when the tool was employed to calibrate a water quality model of the Gravataí River, Brazil. The results showed a good capacity to approximate the true parameters values in the theoretical experiment and a good consistency and agreement with reference values in the second experiment. Although future testing and improvements are possible, the proposed approach can be an useful alternative in water quality modeling using HEC-RAS.

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Section: Subject To ∈mentioning

confidence: 99%

External control and automatic calibration of the HEC-RAS NSM-I water quality model

Lima¹,

Fan²,

Siqueira³

2020

Preprint

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“…The employed channel flow routing method was the Muskingum-Cunge, which has shown satisfying results in basins with no significant effects of backwater and floodplain storage (e.g. ALLASIA et al, 2015;COLLISCHONN et al, 2007;BRAVO;COLLISCHONN, 2009;GETIRANA et al, 2010;NÓBREGA et al, 2011;FAN et al, 2016).…”

Section: The Mgb-sed Modelmentioning

confidence: 99%

“…YAPO; GUPTA; VRUGT et al, 2003;MULETA;NICKLOW, 2005) were implemented in hydrological (e.g. GUPTA; VINEY;SIVAPALAN, 1999;BOYLE;SOROOSHIAN, 2000;BLASONE;MADSEN;ROSBJERG, 2007;BRAVO;COLLISCHONN, 2009) and sediment (see Table 1) models, allowing for the parameters calibration automatically. Few sediment model studies were carried out using automatic calibration (Table 1).…”

Section: Introductionmentioning

confidence: 99%

Automatic calibration of a large-scale sediment model using suspended sediment concentration, water quality, and remote sensing data

Fagundes

Fan

Paiva

2019

RBRH

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Calibration and validation are two important steps in the application of sediment models requiring observed data. This study aims to investigate the potential use of suspended sediment concentration (SSC), water quality and remote sensing data to calibrate and validate a large-scale sediment model. Observed data from across 108 stations located in the Doce River basin was used for the period between 1997-2010. Ten calibration and validation experiments using the MOCOM-UA optimization algorithm coupled with the MGB-SED model were carried out, which, over the same period of time, resulted in 37 calibration and 111 validation tests. The experiments were performed by modifying metrics, spatial discretization, observed data and parameters of the MOCOM-UA algorithm. Results generally demonstrated that the values of correlation presented slight variations and were superior in the calibration step. Additionally, increasing spatial discretization or establishing a background concentration for the model allowed for improved results. In a station with high quantity of SSC data, calibration improved the ENS coefficient from -0.44 to 0.44. The experiments showed that the spectral surface reflectance, total suspended solids and turbidity data have the potential to enhance the performance of sediment models.

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“…Los modelos hidrológicos que simulan la transformación de la lluvia en caudal son importantes herramientas que representan los diversos procesos del ciclo hidrológico que interactúan en una cuenca hidrográfica (Bravo et al, 2009). Recientes estudios en Suramérica (Adam e Collischonn, 2013;Bravo et al, 2014a;Bravo et al, 2014b;Paiva et al, 2011;Sorribas et al, 2016;Tavares et al, 2019;Tejadas et al, 2016) han utilizado proyecciones de variables climáticas acopladas con modelos hidrológicos para verificar el impacto en las principales variables hidrológicas de cuencas hidrográficas.…”

Section: Introductionunclassified

Gestión integrada de la cuenca alta del río Magdalena: instrumentos para su evaluación y planificación

Samboní¹,

Pedroza²,

Guzmán³

et al. 2022

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Las cuencas hidrográficas se constituyen en unidades fundamentales de análisis para el desarrollo de procesos de planificación y gestión. La comprensión de su dinámica, estructura y funcionamiento constituyen el soporte para la planificación del territorio y la toma de decisiones. Sin embargo, la funcionalidad y aprovechamiento sostenible son dependientes de la información y el conocimiento de estos ecosistemas, así como de sus regímenes y capacidades de respuesta frente a las intervenciones antrópicas, variabilidad y cambio climático. Este libro brinda instrumentos y metodologías para la planificación y evaluación del recurso hídrico, así como en la formulación e implementación de mecanismos de adaptación al cambio climático y la gestión integrada de cuencas hidrográficas. La publicación denominada: “Gestión integrada de la cuenca alta del río Magdalena: instrumentos para su evaluación y planificación” es producto de investigaciones realizadas por estudiantes, docentes y egresados de la Escuela de Ciencias Agrícolas, Pecuarias y del Medio Ambiente (ECAPMA) de la UNAD y el grupo de investigación Inyumacizo, categorizado en A por MinCiencias.

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Verificação da Eficiência e Eficácia de um Algoritmo Evolucionário Multi-objetivo na Calibração Automática do Modelo Hidrológico IPH II

Cited by 9 publications

References 18 publications

External control and automatic calibration of the HEC-RAS NSM-I water quality model

External control and automatic calibration of the HEC-RAS NSM-I water quality model

Automatic calibration of a large-scale sediment model using suspended sediment concentration, water quality, and remote sensing data

Gestión integrada de la cuenca alta del río Magdalena: instrumentos para su evaluación y planificación

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