On the calibration of the parameters governing the PWRI distributed hydrological model for flood prediction

Amaly Fong Lee; Adán Vega; Yoshiaki Kawata

doi:10.1016/j.jnlssr.2020.06.006

ScienceGate Book Chapters

JOURNAL ARTICLE

On the calibration of the parameters governing the PWRI distributed hydrological model for flood prediction

Amaly Fong Lee Adán Vega Yoshiaki Kawata

Year: 2020 Journal: Journal of Safety Science and Resilience Vol: 1 (2)Pages: 80-90 Publisher: Elsevier BV

DOI: 10.1016/j.jnlssr.2020.06.006

Get Full-Text PDF Get Analytical Report

Keywords:

Flood myth Calibration Computer science Parametric statistics Kinematic wave Parametric model Hydrology (agriculture) Flood forecasting Hydrological modelling Baseline (sea) Environmental science Geology Statistics Mathematics Geotechnical engineering Geography

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.06

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Hydrology and Watershed Management Studies

Physical Sciences → Environmental Science → Water Science and Technology

Flood Risk Assessment and Management

Physical Sciences → Environmental Science → Global and Planetary Change

Hydrological Forecasting Using AI

Physical Sciences → Environmental Science → Environmental Engineering

On the calibration of the parameters governing the PWRI distributed hydrological model for flood prediction

Metrics

Citation History

Topics

Related Documents

CALIBRATION CONSIDERING FLOOD FORECASTING APTITUDES FOR HYDROLOGICAL PARAMETERS OF A DISTRIBUTED RUNOFF MODEL

Probabilistic calibration of a distributed hydrological model for flood forecasting

A distributed hydrological model adapted to the automatic calibration of parameters

Impact of robustness of hydrological model parameters on flood prediction uncertainty

Hydrological model parameters space during calibration