Modeling Streamflow at the Iberian Peninsula Scale Using MOHID-Land: Challenges from a Coarse Scale Approach

Oliveira, Ana R.; Ramos, Tiago B.; Simionesei, Lucian; Gonçalves, M. C.; Neves, Ramiro

doi:10.3390/w14071013

Cited by 5 publications

(2 citation statements)

References 40 publications

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“…Finally, the values close to 1 in NSE (NASH and SUTCLIFFE, 1970) index, refers that the residuals variance is smaller than the observed data variance, hence the model predictions are good. As reference of index values, are used those adjust described byMORIASI et al ( 2007) (Table 7) In order to gain a better understanding we analyzed the models MOHID (Land and Water) separately, since only MOHID Land was calibrated and validated (OLIVEIRA et al, 2022) (see subsection 2.3.4), Due to lack of data, the CS concentration and tidal levels for MOHID Water were considered conceptually, this model was previously calibrate and validate in CAMPUZANO et al (2014).…”

Section: Model Calibration/validationmentioning

confidence: 99%

Suspended sediment transport in Rio Colorado agricultural basin, Argentina

Cancio

Pierini

2023

Front. Built Environ.

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The nutrient input from inland water discharges is vital for the development of marine aquatic fauna, being significantly sensitive to changes in water quality (WQ). The assessment of the contribution and distribution of some water quality parameters (e.g., nutrients, metals and inland organic compounds) is of vital importance, especially in irrigation basins. The study area is the Bonaerense Valley of the Colorado River (BVCR) and Mar Argentino, near the mouth of the Colorado River (Buenos Aires, Argentina). The study of water quality parameters is performed in an indirect way, by studying the spatiotemporal dynamics of cohesive sediment (CS), this is possible because the CS has a fundamental role in the transport of substances by adsorption/desorption interactions. We used numerical models (MOHID Land and MOHID Water) in a coupled way, evaluating the complex dynamics involved. The evaluated parameters (flow, velocity, cohesive sediment, salinity and temperature) were calibrated and subsequently validated with data from 7 monitoring stations, located along the Colorado River and adjacent water collectors. Calibration and validation values are within an acceptable range for the purposes, with mean values of 0.8 for NSE (Nash-Sutcliffe model efficiency coefficient), 0.9 (Pearson correlation) for calibration and 0.6 (NSE), 0.9 (Pearson) for validation. The irrigation zone (through the collectors) shows a significative contribution of cohesive sediment, on the order of 300 ppm. The river presents approximately 100 ppm and generates a plume along the coast to the northwest.

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Section: Model Calibration/validationmentioning

confidence: 99%

Suspended sediment transport in Rio Colorado agricultural basin, Argentina

Cancio

Pierini

2023

Front. Built Environ.

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“…Modelos Hidrológicos são capazes de simular o comportamento de precipitac ¸ões e inundac ¸ões para diversos tipos de terreno, permitindo que gestores públicos e privados atuem de forma preventiva para mitigar potenciais efeitos desses fenômenos natu-rais [Sales et al 2021, Oliveira et al 2022. A execuc ¸ão desses modelos é computacionalmente intensiva em func ¸ão dos dados geográficos e topológicos ⟨latitude, longitude, altitude⟩ de entrada que são processados em múltiplos passos de tempo (interac ¸ões).…”

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Pré-processamento de dados para Modelos Hidrológicos com o algoritmo k-Medoids: O caso do Rio Pomba

Magacho

Telles

Bedo

2022

Anais Estendidos Do XXXVII Simpósio Brasileiro De Banco De Dados (SBBD Estendido 2022)

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Esse estudo propõe a aplicação do algoritmo k-medoids como etapa de pré-processamento para reduzir a cardinalidade de conjuntos de dados topológicos em simulações hidrológicas do mundo real. Assim, é importante que os medóides identificados sejam representativos para o problema simulado e que os dados reduzidos não prejudiquem a qualidade dos Modelos Hidrológicos executados na sequência de processamento. Em particular, esse trabalho investiga o uso do pré-processamento junto a dois tipos de Modelos Digitais de Terreno para bacias hidrográficas no software MOHID Studio. Como estudo de caso, foi avaliada a simulação com os dados originais vs. pré-processados de um Modelo Hidrológico para o Rio Pomba, localizado em uma região de enchentes urbanas recorrentes. Os resultados indicam que o pré-processamento reduziu a entrada da simulação em até 90%, mantendo a qualidade do Modelo Hidrológico com relação a (i) construção da rede de drenagem e (ii) ao seu perfil de nível d'água. Os resultados também mostram que os medóides escolhidos formam grupos compactos e espaçados de acordo com os índices de Calinski-Harabasz e Davies-Bouldin, o que permitiu reduzir o custo das simulações.

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Assessing the reliability of a physical-based model and a convolutional neural network in an ungauged watershed for daily streamflow calculation: a case study in southern Portugal

Oliveira,

Ramos,

Simionesei

et al. 2024

Environ Earth Sci

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The main goal of this study was to estimate inflows to the Maranhão reservoir, southern Portugal, using two distinct modeling approaches: a one-dimensional convolutional neural network (1D-CNN) model and a physically based model. The 1D-CNN was previously trained, validated, and tested in a sub-basin of the study area where observed streamflow values were available. The trained model was here subject to an improvement and applied to the entire watershed by replacing the forcing variables (accumulated and delayed precipitation) to make them correspond to the values of the entire watershed. The same way, the physically based MOHID-Land model was calibrated and validated for the same sub-basin, and the calibrated parameters were then applied to the entire watershed. Inflow values estimated by both models were validated considering a mass balance at the reservoir. The 1D-CNN model demonstrated a better performance in simulating daily values, peak flows, and the wet period. The MOHID-Land model showed a better performance in estimating streamflow values during dry periods and for a monthly analysis. Hence, results show the adequateness of both modeling solutions for integrating a decision support system aimed at supporting decision-makers in the management of water availability in an area subjected to increasing scarcity.

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Modeling Streamflow at the Iberian Peninsula Scale Using MOHID-Land: Challenges from a Coarse Scale Approach

Cited by 5 publications

References 40 publications

Suspended sediment transport in Rio Colorado agricultural basin, Argentina

Suspended sediment transport in Rio Colorado agricultural basin, Argentina

Pré-processamento de dados para Modelos Hidrológicos com o algoritmo k-Medoids: O caso do Rio Pomba

Assessing the reliability of a physical-based model and a convolutional neural network in an ungauged watershed for daily streamflow calculation: a case study in southern Portugal

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