Accurate and reliable monthly runoff forecasting plays an important role in making full use of
water resources. In recent years, long short-term memory neural networks (LSTM), as a …

In this research work, an implementation of the gridded Flash Flood Guidance (FFG) method
is conducted for the prediction and evaluation of flash floods in Greece. The FFG system is a …

Studies reviewed in this paper show anomaly for temperature pertaining to streamflow and
rainfall showing different trends, especially in Ethiopia to support the research findings and …

Highly accurate monthly runoff forecasts play a pivotal role in water resource management
and utilization. This article proposes a coupling of variational modal decomposition (VMD) …

The goal of this study is to evaluate the performance of salient baseflow estimation
techniques in a river basin of Northern India. Daily precipitation data (2000 to 2021) and …

In recent years, machine learning, a popular artificial intelligence technique, has been
successfully applied to monthly runoff forecasting. Monthly runoff autoregressive forecasting …

The present work deals with the reconstruction of the flood wave that hit Mandra town
(Athens, Greece) on 15 November 2017, using the framework of forensic hydrology. The …

This study examined and addressed climate change's effects on hydrological patterns,
particularly in critical places like the Godavari River basin. This study used daily gridded …

Soil moisture data assimilation (SM-DA) is a valuable approach for enhancing streamflow
prediction in rainfall-runoff models. However, most studies have focused on incorporating …

Rainfall–runoff simulation is the basis of basin flood forecasting and water resource
planning. However, karst basins are highly nonhomogeneous. With the intermittent uplift of …