Recent advances of bat-inspired algorithm, its versions and applications
Bat-inspired algorithm (BA) is a robust swarm intelligence algorithm that finds success in
many problem domains. The ecosystem of bat animals inspires the main idea of BA. This …
many problem domains. The ecosystem of bat animals inspires the main idea of BA. This …
Suspended sediment load prediction using artificial neural network and ant lion optimization algorithm
Suspended sediment load (SSL) estimation is a required exercise in water resource
management. This article proposes the use of hybrid artificial neural network (ANN) models …
management. This article proposes the use of hybrid artificial neural network (ANN) models …
Enhancement of groundwater-level prediction using an integrated machine learning model optimized by whale algorithm
The present study attempted to predict groundwater levels (GWL) obtained from precipitation
and temperature data based on various temporal delays. The radial basis function (RBF) …
and temperature data based on various temporal delays. The radial basis function (RBF) …
A systematic review of Muskingum flood routing techniques
Flood routing is an important topic in engineering hydrology and an integral part of flood
management and hydrodynamic modelling studies. Muskingum and Muskingum-Cunge …
management and hydrodynamic modelling studies. Muskingum and Muskingum-Cunge …
Hybrid hydrological data-driven approach for daily streamflow forecasting
Hydrological forecasting is key for water resources allocation and flood risk management.
Although a number of advanced hydrological forecasting methods have been developed in …
Although a number of advanced hydrological forecasting methods have been developed in …
Estimating the pan evaporation in northwest china by coupling catboost with bat algorithm
Accurate estimation of pan evaporation (Ep) is vital for the development of water resources
and agricultural water management, especially in arid and semi-arid regions where it is …
and agricultural water management, especially in arid and semi-arid regions where it is …
Optimal flood-control operation of cascade reservoirs using an improved particle swarm optimization algorithm
Y Diao, H Ma, H Wang, J Wang, S Li, X Li, J Pan, Q Qiu - Water, 2022 - mdpi.com
Optimal reservoir operation is an important measure for ensuring flood-control safety and
reducing disaster losses. The standard particle swarm optimization (PSO) algorithm can find …
reducing disaster losses. The standard particle swarm optimization (PSO) algorithm can find …
Assessing the predictability of an improved ANFIS model for monthly streamflow using lagged climate indices as predictors
The current study investigates the effect of a large climate index, such as NINO3, NINO3. 4,
NINO4 and PDO, on the monthly stream flow in the Aydoughmoush basin (Iran) based on an …
NINO4 and PDO, on the monthly stream flow in the Aydoughmoush basin (Iran) based on an …
Comparative analysis of HEC-HMS and machine learning models for rainfall-runoff prediction in the upper Baro watershed, Ethiopia
Accurate streamflow simulation is crucial for effective hydrological management, especially
in regions like the upper Baro watershed, Ethiopia, where data scarcity challenges …
in regions like the upper Baro watershed, Ethiopia, where data scarcity challenges …
Flood routing by linear Muskingum method using two basic floods data using particle swarm optimization (PSO) algorithm
The Muskingum method is one of hydrological approaches that has been used for flood
routing for many years thanks to its simplicity and reasonable accuracy over other methods …
routing for many years thanks to its simplicity and reasonable accuracy over other methods …