Monthly streamflow forecasting by machine learning methods using dynamic weather prediction model outputs over Iran
Seasonal hydrological forecasts play a critical role in water resources management. The
Copernicus Climate Change Service (C3S) data store provides open access to monthly …
Copernicus Climate Change Service (C3S) data store provides open access to monthly …
Assessing flood early warning systems for flash floods
MJ Henao Salgado, J Zambrano Nájera - Frontiers in Climate, 2022 - frontiersin.org
Flash floods are an increasing concern, especially in regions with abrupt topography and
small areas where floods are rapid and energy-filled. That is the case of the El Guamo …
small areas where floods are rapid and energy-filled. That is the case of the El Guamo …
Enhancing daily rainfall prediction in urban areas: a comparative study of hybrid artificial intelligence models with optimization algorithms
Forecasting precipitation is a crucial input to hydrological models and hydrological event
management. Accurate forecasts minimize the impact of extreme events on communities …
management. Accurate forecasts minimize the impact of extreme events on communities …
Operational Earthquake Forecasting in Italy: validation after 10 yr of operativity
In this paper, we gather and take stock of the results produced by the Operational
Earthquake Forecasting (OEF) system in Italy, during its first 10 yr of operativity. The system …
Earthquake Forecasting (OEF) system in Italy, during its first 10 yr of operativity. The system …
Flood frequency analysis based on simulated peak discharges
Flood frequency approaches vary from statistical methods, directly applied on the observed
annual maximum flood series, to adopting rainfall–runoff simulation models that transform …
annual maximum flood series, to adopting rainfall–runoff simulation models that transform …
Assessment of TRMM rainfall data for flood modelling in three contrasting catchments in Java, Indonesia
This study investigates the use of the Tropical Rainfall Measurement Mission's (TRMM)
rainfall data for predicting water flows and flood events in three catchments on the island of …
rainfall data for predicting water flows and flood events in three catchments on the island of …
Comparison of methodologies for flood rainfall thresholds estimation
A flood warning system based on rainfall thresholds makes it possible to issue alarms via an
off-line approach. This technique is useful for mitigating the effects of flooding in small-to …
off-line approach. This technique is useful for mitigating the effects of flooding in small-to …
Application of copula method and neural networks for predicting peak outflow from breached embankments
The limited number of available data is a common problem in most hydrologic and hydraulic
studies, typically dam breach analysis. Construction of a probabilistic model is a key step in …
studies, typically dam breach analysis. Construction of a probabilistic model is a key step in …
A simulation-based optimization model for flood management on a watershed scale
Using structural and nonstructural measures for flood damage reduction is a long-standing
problem in water resources planning and management. In the present study, an algorithm is …
problem in water resources planning and management. In the present study, an algorithm is …
Identifying low impact development strategies for flood mitigation using a fuzzy-probabilistic approach
Low impact development (LID) includes strategies and practices that are designed to control
surface runoff at its sources in a sustainable way. The performance of these strategies has …
surface runoff at its sources in a sustainable way. The performance of these strategies has …