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Modeling daily reference evapotranspiration via a novel approach based on support vector regression coupled with whale optimization algorithm
B Mohammadi, S Mehdizadeh - Agricultural Water Management, 2020 - Elsevier
In achieving water resource management goals such as irrigation scheduling, an accurate
estimate of reference evapotranspiration (ET 0) is critical. Support vector regression (SVR) …
estimate of reference evapotranspiration (ET 0) is critical. Support vector regression (SVR) …
Improving long-term streamflow prediction in a poorly gauged basin using geo-spatiotemporal mesoscale data and attention-based deep learning: A comparative …
Precise long-term streamflow prediction has always been important in the hydrology field,
and has provided essential information for efficient water-resource management and …
and has provided essential information for efficient water-resource management and …
Implementation of hybrid particle swarm optimization-differential evolution algorithms coupled with multi-layer perceptron for suspended sediment load estimation
River suspended sediment load (SSL) estimation is of importance in water resources
engineering and hydrological modeling. In this study, a novel hybrid approach is …
engineering and hydrological modeling. In this study, a novel hybrid approach is …
Daily river flow simulation using ensemble disjoint aggregating M5-Prime model
Accurate prediction of daily river flow (Q t) remains a challenging yet essential task in
hydrological modeling, particularly crucial for flood mitigation and water resource …
hydrological modeling, particularly crucial for flood mitigation and water resource …
Short term rainfall-runoff modelling using several machine learning methods and a conceptual event-based model
The applicability of four machine learning (ML) methods, ANFIS-PSO, ANFIS-FCM, MARS
and M5Tree, together with multi model simple averaging (MM-SA) ensemble method, is …
and M5Tree, together with multi model simple averaging (MM-SA) ensemble method, is …
Improving streamflow simulation by combining hydrological process-driven and artificial intelligence-based models
Accurate and timely monitoring of streamflow and its variation is crucial for water resources
management in watersheds. This study aimed at evaluating the performance of two process …
management in watersheds. This study aimed at evaluating the performance of two process …
Novel hybrid intelligence predictive model based on successive variational mode decomposition algorithm for monthly runoff series
A high-accuracy estimation of the runoff has always been an extremely relevant and
challenging subject in hydrology science. Therefore, in the current research, a novel hybrid …
challenging subject in hydrology science. Therefore, in the current research, a novel hybrid …
Application of an artificial intelligence technique enhanced with intelligent water drops for monthly reference evapotranspiration estimation
Reference evapotranspiration (ET 0) is one of the most important parameters, which is
required in many fields such as hydrological, agricultural, and climatological studies …
required in many fields such as hydrological, agricultural, and climatological studies …
Comparison of different methodologies for rainfall–runoff modeling: machine learning vs conceptual approach
Accurate short-term rainfall–runoff prediction is essential for flood mitigation and safety of
hydraulic structures and infrastructures. This study investigates the capability of four …
hydraulic structures and infrastructures. This study investigates the capability of four …
Develo** novel robust models to improve the accuracy of daily streamflow modeling
Streamflow plays a major role in the optimal management and allocation of available water
resources in each region. Reliable techniques are therefore needed to be developed for …
resources in each region. Reliable techniques are therefore needed to be developed for …