Presents UFDSM based on cellular automata with a conservation nonstandard finite difference method that preserves positivity and fixed points, showing small discrepancies versus HEC-RAS in validation.
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2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
A Bayesian calibration method for urban flood models introduces latent variables and adjoint equations to tune parameters like Manning's coefficient, achieving relative errors from 1.16% to 13.88% on test cases.
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A Novel Urban Flood Dynamical System Model and a Corresponding Nonstandard Finite Difference Method
Presents UFDSM based on cellular automata with a conservation nonstandard finite difference method that preserves positivity and fixed points, showing small discrepancies versus HEC-RAS in validation.
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Calibration of the underlying surface parameters for urban flood using latent variables and adjoint equation
A Bayesian calibration method for urban flood models introduces latent variables and adjoint equations to tune parameters like Manning's coefficient, achieving relative errors from 1.16% to 13.88% on test cases.