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The simulation system has been setup and designed for flood forecasting in the alpine environment.
Its applicability, capability and suitability for flood forecasting in catchments were examined.
Hydrological models are important tools for flood forecasting and for the assessment of water resources under current and changing climate.
The damage graph produced for flood forecasting in each subarea identified the rainfall intensities and durations that resulted from the initial occurrence of flood damage.
The methodology has been applied for flood forecasting using the hourly rainfall and river flow data of upper Narmada basin, Central India.
In this study, we investigated the predictive capabilities of the conceptual Xinanjiang model (XAJ), which is widely used for flood forecasting and simulation in China, in ungauged catchments.
Similar(48)
Results obtained indicate that BANN-hydrologic forecasting models with confidence bounds can improve their reliability for flood forecasts.
Bayesian forecasting system (BFS) offers an ideal theoretic framework for uncertainty quantification that can be developed for probabilistic flood forecasting via any deterministic hydrologic model.
Accurate precipitation forecasts are required for accurate flood forecasting.
This study advances the use of high-resolution quantitative precipitation forecasts (QPFs) for flash flood forecasting.
For operational flood forecasting, discharge observations may be assimilated into a hydrologic model to improve forecasts.
More suggestions(17)
for inundation forecasting
for tsunami forecasting
for flood predictions
for flood forecasts
for flood susceptibility
for flood mitigation
for flood prevention
for flood drought
for flood defence
for flood routing
for flood damage
for flood vulnerability
for flood diversion
for flood insurance
for flood protection
for flood control
for flood risk
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