A correct understanding of the parameters and methods used in flood susceptibility map**
(FSM) is critical for identifying the strengths and limitations of different map** approaches …

The aim of this study is to select the best model (combination of different lag times) for
predicting the standardized precipitation index (SPI) and the standardized precipitation and …

The purpose of this study was to investigate the impact of climate change on the water level
and shrinkage of Lake Urmia. To achieve this, the Technique for Order of Preference by …

Climate change (CC) will increase the intensity of extreme phenomena such as drought and
flood in arid and semi-arid regions. This will cause the water supply of these areas to …

In this study, five hydrological models, including the soil and water assessment tool (SWAT),
identification of unit hydrograph and component flows from rainfall, evapotranspiration, and …

This paper investigates the effects of climate change on the hydrological and meteorological
parameters of the Navrood Watershed (a Caspian Hyrcanian forest watershed) in the north …

This research uses the multi-layer perceptron–artificial neural network (MLP-ANN), radial
basis function–ANN (RBF-ANN), least square support vector machine (LSSVM), adaptive …

Hydrological models are vital tools in environmental management. Weaknesses in model
robustness for hydrological parameters transfer uncertainties to the model outputs. For …

This study applies three methods, Gene Expression Programming (GEP), M5 tree (M5T)
model and optimized Artificial Neural Network by Genetic Algorithm (ANN-GA) for estimation …

This study investigates the effect of climate change on the runoff and electrical conductivity
(EC) of the Marun watershed. It used 35 general circulation models (GCMs) and the …