scholarly journals Application of SAC-SMA and IPH II hydrological models in the Teles Pires River basin, Brazil

RBRH ◽  
2019 ◽  
Vol 24 ◽  
Author(s):  
Eduardo Morgan Uliana ◽  
Frederico Terra de Almeida ◽  
Adilson Pacheco de Souza ◽  
Ibraim Fantin da Cruz ◽  
Luana Lisboa ◽  
...  
Keyword(s):  
River Basin ◽  
Water Resource Management ◽  
Management Strategies ◽  
Rainfall Runoff ◽  
Detailed Model ◽  
Mato Grosso ◽  
Soil Moisture Accounting ◽  
Shuffled Complex Evolution ◽  
Runoff Modeling ◽  
And Performance

ABSTRACT Parameterization and performance analysis of a hydrological model allow its consolidation, so that water-resource management strategies could be evaluated and extreme events forecast. In this context, this study aimed to evaluate the performance of the Sacramento Soil Moisture Accounting (SAC-SMA) and IPH II models for runoff estimation in the Teles Pires River basin, which is located in the Amazon region, State of Mato Grosso, Brazil. Both models were automatically calibrated using Shuffled Complex Evolution algorithm (SCE-UA) and validated for five runoff monitoring units. Our results showed that both are suitable for daily runoff modeling in the Teles Pires River basin with higher performance in larger drainage area basins. We can also infer that the simple use of complex rainfall-runoff models might not provide improved estimates. Although the SAC-SMA is the most complex and detailed model for hydrological processes, it has not outperformed IPH II in any of the monitoring units in the Teles Pires River.

scholarly journals MODELOS HIDROLÓGICOS SAC-SMA E IPH II: CALIBRAÇÃO E AVALIAÇÃO DO DESEMPENHO NA ESTIMATIVA DE VAZÕES NA BACIA DO RIO PIRACICABA (MG)

Irriga ◽  
2020 ◽  
Vol 25 (2) ◽  
pp. 202-222
Author(s):  
Eduardo Morgan Uliana ◽  
Demetrius David da Silva ◽  
Michel Castro Moreira ◽  
Silvio Bueno Pereira ◽  
Donizete Dos Reis Pereira
Keyword(s):  
Soil Moisture ◽  
Water Resources ◽  
River Basin ◽  
Efficiency Index ◽  
Minas Gerais ◽  
Mato Grosso ◽  
Soil Moisture Accounting ◽  
Shuffled Complex Evolution ◽  
And Performance ◽  
Piracicaba River

MODELOS HIDROLÓGICOS SAC-SMA E IPH II: CALIBRAÇÃO E AVALIAÇÃO DO DESEMPENHO NA ESTIMATIVA DE VAZÕES NA BACIA DO RIO PIRACICABA (MG)4     EDUARDO MORGAN ULIANA1; DEMETRIUS DAVID DA SILVA2; MICHEL CASTRO MOREIRA2; SILVIO BUENO PEREIRA2 E DONIZETE DOS REIS PEREIRA3   1Instituto de Ciências Agrárias e Ambientais, Universidade Federal de Mato Grosso, Avenida Alexandre Ferronato, 1200, Setor Industrial, CEP. 78557-267, Sinop, Mato Grosso, Brasil, [email protected]   2Departamento de Engenharia Agrícola, Universidade Federal de Viçosa, Campus Universitário, CEP. 36570-900, Viçosa, Minas Gerais, Brasil, [email protected], [email protected] 3Instituto de Ciências Agrárias, Universidade Federal de Viçosa, Rodovia LMG 818, km 06, CEP. 35690-000, Florestal, Minas Gerais, Brasil, [email protected] 4 O artigo é referente ao capítulo 1 da tese de doutorado do primeiro autor.     1 RESUMO   O objetivo do trabalho foi avaliar o desempenho dos modelos conceituais chuva-vazão Soil Moisture Accounting (SAC-SMA) e IPH II para a estimativa das vazões diárias na bacia hidrográfica do rio Piracicaba (MG), de modo que os mesmos possam ser utilizados para subsidiar o planejamento e a gestão de recursos hídricos na bacia. O estudo foi realizado em três seções de monitoramento de vazão da bacia do rio Piracicaba, localizada no estado de Minas Gerais - Brasil. A calibração dos modelos foi realizada com o algoritmo SCE-UA, utilizando como função objetivo o índice de Nash-Sutcliffe. Os valores do índice de eficiência de Nash-Sutcliffe obtidos nas três seções de monitoramento foram de 0,87, 0,78 e 0,71 para o modelo SAC-SMA e de 0,88, 0,80, e 0,73 para o modelo IPH II, confirmando que os modelos são “adequados e bons” para a estimativa das vazões diárias. Concluiu-se, portanto, que os modelos SAC-SMA e IPH II são adequados para a estimativa das vazões diárias de cursos de água da bacia do rio Piracicaba (MG), demonstrando potencial para serem utilizados em estudos relacionados com simulação hidrológica e gestão de recursos hídricos em bacias hidrográficas de regiões tropicais.   Palavras-chave: modelo concentrado, chuva-vazão, planejamento de recursos hídricos, previsão.     ULIANA, E. M.; SILVA, D. D.; MOREIRA, M. C.; PEREIRA, S. B.; PEREIRA, D. R. SAC-SMA AND IPH II HYDROLOGICAL MODELS: CALIBRATION AND PERFORMANCE ASSESSMENT FOR WATER FLOW ESTIMATE IN PIRACICABA RIVER BASIN (MG)     2 ABSTRACT   The aim of this study was to evaluate the performance of conceptual models Sacramento - Soil Moisture Accounting (SAC-SMA) and IPH II for daily flow estimation in Piracicaba river basin, Minas Gerais, so that they may be used in the planning and management of water resources in the river basin. The study was carried out in three runoff-monitoring sections on Piracicaba river basin, located in the State of Minas Gerais - Brazil. Model calibration was performed through the Shuffled Complex Evolution (SCE-UA) algorithm, whose objective function was the Nash-Sutcliffe efficiency index. The Nash-Sutcliffe efficiency index values obtained in the three monitoring-sections were 0.87, 0.78, and 0.71 for the SAC-SMA model, and 0.88, 0.80, and 0.73 for the IPH II one. These values confirm that the models are “appropriate and good” for daily flow estimations. Overall, both models can be further used for hydrologic simulations and water resources management in tropical river basins.   Keywords: concentrated models, rainfall-runoff, planning of water resources, forecast.

scholarly journals Evaluation of upper Uruguay river basin (Brazil) operational flood forecasts

RBRH ◽  
2017 ◽  
Vol 22 (0) ◽  
Author(s):  
Fernando Mainardi Fan ◽  
Paulo Rógenes Monteiro Pontes ◽  
Diogo Costa Buarque ◽  
Walter Collischonn
Keyword(s):  
River Basin ◽  
Power Plants ◽  
Performance Metrics ◽  
Hydroelectric Power ◽  
Rainfall Runoff ◽  
Runoff Modeling ◽  
Forecasting System ◽  
The Difference ◽  
And Performance ◽  
Uruguay River

ABSTRACT System for hydrological forecasting and alert running in an operational way are important tools for floods impacts reduction. The present study describes the development and results evaluation of an operational discharge forecasting system of the upper Uruguay River basin, sited in Southern Brazil. Developed system was operated every day to provide experimental forecasts with special interest for Barra Grande and Campos Novos hydroelectric power plants reservoirs inflow, with 10 days in advance. We present results of inflow forecasted for floods occurred between July 2013 to July 2016, the period which the system was operated. Forecasts results by visual and performance metrics analysis showed a good fit with observations in most cases, with possibility of floods occurrence being well predicted with antecedence of 2 to 3 days. Comparing the locations, it was noted that the sub-basin of Campos Novos, being slower in rainfall-runoff transformation, is easier forecasted. The difference in predictability between the two basins can be observed by the coefficient of persistence, which is positive from 12h in Barra Grande and from 24h to Campos Novos. These coefficient values also show the value of the rainfall-runoff modeling for forecast horizons of more than one day in the basins.

Rainfall-runoff modeling considering soil moisture accounting algorithm, case study: Karoon III River basin

2016 ◽  
Vol 43 (4) ◽  
pp. 699-710 ◽  
Author(s):  
Homa Razmkhah ◽  
Bahram Saghafian ◽  
Ali-Mohammad Akhound Ali ◽  
Fereydoun Radmanesh
Keyword(s):  
Soil Moisture ◽  
River Basin ◽  
Rainfall Runoff ◽  
Soil Moisture Accounting ◽  
Runoff Modeling

scholarly journals Optimization of the Multi-Start Strategy of a Direct-Search Algorithm for the Calibration of Rainfall–Runoff Models for Water-Resource Assessment

Water ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 1876 ◽  
Author(s):  
García-Romero ◽  
Paredes-Arquiola ◽  
Solera ◽  
Belda ◽  
Andreu ◽  
...  
Keyword(s):  
Water Resource ◽  
Search Algorithm ◽  
Resource Assessment ◽  
Rainfall Runoff ◽  
Soil Moisture Accounting ◽  
Shuffled Complex Evolution ◽  
Efficient Performance ◽  
Direct Search Algorithm ◽  
Calibration Techniques ◽  
Water Resource Assessment

Calibration of conceptual rainfall–runoff models (CRRM) for water-resource assessment (WRA) is a complicated task that contributes to the reliability of results obtained from catchments. In recent decades, the application of automatic calibration techniques has been frequently used because of the increasing complexity of models and the considerable time savings gained at this phase. In this work, the traditional Rosenbrock (RNB) algorithm is combined with a random sampling method and the Latin hypercube (LH) to optimize a multi-start strategy and test the efficiency in the calibration of CRRMs. Three models (the French rural-engineering-with-four-daily-parameters (GR4J) model, the Swedish Hydrological Office Water-balance Department (HBV) model and the Sacramento Soil Moisture Accounting (SAC-SMA) model) are selected for WRA at nine headwaters in Spain in zones prone to long and severe droughts. To assess the results, the University of Arizona’s shuffled complex evolution (SCE-UA) algorithm was selected as a benchmark, because, until now, it has been one of the most robust techniques used to solve calibration problems with rainfall–runoff models. This comparison shows that the traditional algorithm can find optimal solutions at least as good as the SCE-UA algorithm. In fact, with the calibration of the SAC-SMA model, the results are significantly different: The RNB algorithm found better solutions than the SCE-UA for all basins. Finally, the combination created between the LH and RNB methods is detailed thoroughly, and a sensitivity analysis of its parameters is used to define the set of optimal values for its efficient performance.

scholarly journals Geomorphology-Wavelet based approach to rainfall runoff modeling for data scarce semi-arid regions, Kolar River catchment, India

2021 ◽  
Author(s):  
Deepak Kumar Tiwari ◽  
◽  
Tiwari H. L. ◽  
Raman Nateriya ◽  
◽  
...  
Keyword(s):  
Autoregressive Model ◽  
Water Resource Management ◽  
Kendall Test ◽  
Rainfall Runoff ◽  
Ungauged Catchments ◽  
Slope Test ◽  
Runoff Modeling ◽  
Nonlinear Autoregressive Model ◽  
Nonlinear Autoregressive ◽  
Semi Arid

The conceptual and physical mathematical model of rainfall-runoff modeling uses various parameters such as land use land cover, soil type classification, rainfall, atmospheric data such as temperature, evapotranspiration, solar radiation and wind speed, etc. But these data may not be available for developing countries and data scares semi-arid watershed. Also, the problem is even more critical for ungauged catchments and where manual record is maintained of water level and rainfall data. To address this issue, trend analysis is performed using Mann-Kendall test and Sen’s slope test which shows significant trend change stressing the need for new method for runoff prediction for better water resource management. In this study, a total of four models namely nonlinear autoregressive model with exogenous inputs lumped (LNARX), nonlinear autoregressive model with exogenous geomorphometrically processed inputs (GNARX), wavelet nonlinear autoregressive model with exogenous inputs (WLNARX) and nonlinear autoregressive model with exogenous geomorphometrically processed inputs (WGNARX). Ten models with different input combinations were selected based on their performance are analyzed for all the four networks. The best performing model for these networks is model no. 6 with WGNARX network with NSE 0.97 and RMSE 0.97 and with least value of RMSE. This method can be applied to data scarce region where data available are available for shorter duration and helpful for ungauged catchments also.

scholarly journals MODELAGEM CHUVA-VAZÃO EM UMA BACIA TROPICAL UTILIZANDO O MODELO IPH II / RAINFALL-RUNOFF MODELING IN A TROPICAL BASIN USING THE IPH II MODEL

Geo UERJ ◽  
2018 ◽  
pp. e30557
Author(s):  
Eduardo Morgan Uliana ◽  
Donizete Dos Reis Pereira ◽  
Demetrius David da Silva ◽  
Frederico Terra de Almeida ◽  
Adilson Pacheco de Souza
Keyword(s):  
Minas Gerais ◽  
Rainfall Runoff ◽  
Shuffled Complex Evolution ◽  
Runoff Modeling

O objetivo do presente trabalho foi avaliar a aplicabilidade do modelo hidrológico IPH II para a estimativa de vazões diárias na bacia hidrográfica do rio Pomba assim como verificar a sua acurácia na simulação de eventos extremos, de forma a obter informações para o planejamento e gestão dos recursos hídricos, além da previsão e mitigação de eventos de cheia no local. A sub-bacia selecionada para o estudo teve como seção de controle a estação fluviométrica Guarani, a qual drena uma área de 1.650 km2, localizada no estado de Minas Gerais. Os dados de precipitação e evapotranspiração de referência, requeridos como dados de entrada no modelo IPH II, foram obtidos pelos métodos de Thiessen e Hargreaves-Samani, respectivamente. A calibração do modelo foi realizada de forma automática utilizando o algoritmo Shuffled Complex Evolution (SCE-UA), que possibilitou a estimativa dos parâmetros do modelo de forma rápida e eficiente. Os resultados obtidos com a utilização do modelo IPH II mostraram que as estimativas das vazões diárias foram adequadas e boas, com base no coeficiente de Nash-Sutcliffe, incluindo as máximas e mínimas diárias anuais e, também, as vazões mínimas de referência para fins de outorga, o que permite concluir que o modelo tem potencial para ser utilizado na gestão de recursos hídricos, na previsão de vazões de cheias e na mitigação de seus efeitos, assim como para análise de consistência e preenchimento de falhas nos dados de vazões.

scholarly journals Hydrological calibration and validation of the MGB-IPH model for water resource management in the upper Teles Pires River basin in the Amazon-Cerrado ecotone in Brazil

2019 ◽  
Vol 49 (1) ◽  
pp. 54-63 ◽  
Author(s):  
Riene Filgueiras de OLIVEIRA ◽  
Cornélio Alberto ZOLIN ◽  
Daniel de Castro VICTORIA ◽  
Tarcio Rocha LOPES ◽  
Laurimar Gonçalves VENDRUSCULO ◽  
...  
Keyword(s):  
Resource Management ◽  
River Basin ◽  
Water Resource ◽  
Water Resource Management ◽  
Large Scale ◽  
Model Performance ◽  
Resource Assessment ◽  
Distributed Hydrological Model ◽  
Statistical Parameters ◽  
Mato Grosso

ABSTRACT The upper Teles Pires River basin is located in the Brazilian agriculture frontier in the north of Mato Grosso state and has experienced significant changes in land use and cover, which can cause major changes in its hydrological dynamics. Climatic and hydrologic data are scarce in the region, which poses uncertainties in the decision-making process aiming at the sustainable management of water resources in this strategic area. The aim of this study was to evaluate the performance of the Large-Scale Distributed Hydrological Model (MGB-IPH) to assess water availability of the upper Teles Pires basin and support water resource management in the Amazon-Cerrado ecotone. The MGB-IPH model was calibrated and validated using data from three streamflow stations available in the basin. In order to verify the model performance, the Nash-Sutcliffe (NS) and the PBIAS statistical parameters were applied. Our results show that, by using the MGB-IPH model with generally available data, the maximum and minimum flow regimes can be successfully assessed in the upper Teles Pires basin. The continuity curves of daily flow simulated by the model showed a good fit with the observed flow. Overall, the results demonstrated the applicability of the MGB-IPH model for water resource assessment and management in the basin.

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