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1.
An Acad Bras Cienc ; 96(3): e20230570, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-39140519

RESUMO

The inverse problem method can be applied to determine the properties of hydrological phenomena and estimate the parameters, which cannot be measured directly. This type of inverse focus can facilitate the implementation of the kinematic wave model (direct model-DM), to fill gaps for lateral inflow rate and runoff depth in watersheds. Thus, the goal of the study was the application of the inverse problem method (IP). The lateral inflow rate was generally obtained as a Fourier transform to represent any watersheds. The study was developed using a small catchment in the Amazon where intense rainfall events occur, producing runoff and sediments, which affect rural populations. Lateral inflow rate and runoff depth were derived using precipitation data and parameters estimated through the KINEROS2 (K2)/direct model (DM) model and the ensuing solution methods with MCMC (Markov chains Monte Carlo)/Fourier transform. The developed method was applied to four rainfall-runoff events, leading to a good fit between the observed and predicted data (Nash-Sutcliffe coefficients between 0.76 and 0.85 and RMSE values between 1.80 mm and 6.72 mm).


Assuntos
Modelos Teóricos , Chuva , Movimentos da Água , Brasil , Monitoramento Ambiental/métodos , Rios , Hidrologia/métodos
2.
An Acad Bras Cienc ; 96(suppl 1): e20231110, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-39046057

RESUMO

The present study modeled the adsorption process of the drug diclofenac sodium on activated charcoal. For this purpose, a mass balance-based model was used considering a fixed bed column. The mass transfer rate in the solid phase was represented by a driving force model proposed in this study, and a gamma exponent with a range of 0 > γ ≤ 2 was assigned to the model. Different isotherms were adopted to represent the equilibrium at the solid/liquid interface: the Langmuir, Freundlich, Sips and Redlich-Peterson isotherms. The modeling was approached from the perspective of Bayesian statistics, and the Markov chain Monte Carlo method was used for parameter estimation. Model validation was performed with experimental data obtained under different operating conditions of initial concentration ($C_{0.


Assuntos
Teorema de Bayes , Carvão Vegetal , Diclofenaco , Diclofenaco/química , Adsorção , Carvão Vegetal/química , Método de Monte Carlo , Modelos Químicos
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