[HTML][HTML] Groundwater level prediction using machine learning models: A comprehensive review

H Tao, MM Hameed, HA Marhoon… - Neurocomputing, 2022 - Elsevier
Develo** accurate soft computing methods for groundwater level (GWL) forecasting is
essential for enhancing the planning and management of water resources. Over the past two …

Hybrid structures in time series modeling and forecasting: A review

Z Hajirahimi, M Khashei - Engineering Applications of Artificial Intelligence, 2019 - Elsevier
The key factor in selecting appropriate forecasting model is accuracy. Given the deficiencies
of single models in processing various patterns and relationships latent in data, hybrid …

Least square support vector machine and multivariate adaptive regression splines for streamflow prediction in mountainous basin using hydro-meteorological data as …

RM Adnan, Z Liang, S Heddam… - Journal of …, 2020 - Elsevier
Monthly streamflow prediction is very important for many hydrological applications in
providing information for optimal use of water resources. In this study, the prediction …

Support vector regression optimized by meta-heuristic algorithms for daily streamflow prediction

A Malik, Y Tikhamarine, D Souag-Gamane… - … Research and Risk …, 2020 - Springer
Accurate and reliable prediction of streamflow is vital to the optimization of water resources
management, reservoir flood operations, catchment, and urban water management. In this …

Genetic programming in water resources engineering: A state-of-the-art review

AD Mehr, V Nourani, E Kahya, B Hrnjica, AMA Sattar… - Journal of …, 2018 - Elsevier
The state-of-the-art genetic programming (GP) method is an evolutionary algorithm for
automatic generation of computer programs. In recent decades, GP has been frequently …

Improving streamflow simulation by combining hydrological process-driven and artificial intelligence-based models

B Mohammadi, R Moazenzadeh, K Christian… - … Science and Pollution …, 2021 - Springer
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 …

Hourly streamflow forecasting using a Bayesian additive regression tree model hybridized with a genetic algorithm

DH Nguyen, XH Le, DT Anh, SH Kim, DH Bae - Journal of Hydrology, 2022 - Elsevier
Urban flooding is a global metropolitan problem; therefore, establishing reliable streamflow
forecasting models is critical for flood control and planning in urban areas. Furthermore …

Implementation of evolutionary computing models for reference evapotranspiration modeling: short review, assessment and possible future research directions

W **g, ZM Yaseen, S Shahid, MK Saggi… - … of computational fluid …, 2019 - Taylor & Francis
Evapotranspiration is one of the most important components of the hydrological cycle as it
accounts for more than two-thirds of the global precipitation losses. Indeed, the accurate …

Development of an extreme gradient boosting model integrated with evolutionary algorithms for hourly water level prediction

DH Nguyen, XH Le, JY Heo, DH Bae - IEEE Access, 2021 - ieeexplore.ieee.org
The establishment of reliable water level prediction models is vital for urban flood control
and planning. In this paper, we develop hybrid models (GA-XGBoost and DE-XGBoost) that …

Drought modeling using classic time series and hybrid wavelet-gene expression programming models

S Mehdizadeh, F Ahmadi, AD Mehr, MJS Safari - Journal of Hydrology, 2020 - Elsevier
The standardized precipitation evapotranspiration index (SPEI) at three different time scales
(ie, SPEI-3, SPEI-6, and SPEI-12) from six meteorology stations located in Turkey are …