A review of recent advances and future prospects in calculation of reference evapotranspiration in Bangladesh using soft computing models

MM Alam, MY Akter, ARMT Islam, J Mallick… - Journal of …, 2024 - Elsevier
Evapotranspiration (ETo) is a complex and non-linear hydrological process with a significant
impact on efficient water resource planning and long-term management. The Penman …

Innovative approach for predicting daily reference evapotranspiration using improved shallow and deep learning models in a coastal region: A comparative study

HE Elzain, OA Abdalla, M Abdallah… - Journal of …, 2024 - Elsevier
Accurate and reliable estimation of Reference Evapotranspiration (ETo) is crucial for water
resources management, hydrological processes, and agricultural production. The FAO-56 …

[HTML][HTML] Development of an enhanced bidirectional recurrent neural network combined with time-varying filter-based empirical mode decomposition to forecast weekly …

M Karbasi, M Jamei, M Ali, A Malik, X Chu… - Agricultural Water …, 2023 - Elsevier
Evapotranspiration is one of agricultural water management's most significant and impactful
hydrologic processes. A new multi-decomposition deep learning-based technique is …

A hybrid optimized model for predicting evapotranspiration in early and late rice based on a categorical regression tree combination of key influencing factors

L Zhao, S Qing, J Bai, H Hao, H Li, Y Shi, X Xing… - … and Electronics in …, 2023 - Elsevier
Crop evapotranspiration (ET C) is an important component of the agricultural hydrological
cycle, and its accurate estimation is important for assessing the hydrological environment of …

Advanced evapotranspiration forecasting in Central Italy: Stacked MLP-RF algorithm and correlated Nystrom views with feature selection strategies

F Granata, F Di Nunno, G de Marinis - Computers and Electronics in …, 2024 - Elsevier
Evapotranspiration is a key parameter in hydrology, particularly in the field of water
resources management. Reference evapotranspiration (ETo) stands as a crucial metric …

[HTML][HTML] Estimating reference crop evapotranspiration using optimized empirical methods with a novel improved Grey Wolf Algorithm in four climatic regions of China

J Dong, L Xing, N Cui, L Guo, C Liang, L Zhao… - Agricultural Water …, 2024 - Elsevier
Accurate estimation of reference crop evapotranspiration (ETo) is crucial for agricultural
water management. As the simplified alternatives of the Penman-Monteith equation …

Hybrid and Integrative Evolutionary Machine Learning in Hydrology: A Systematic Review and Meta-analysis

A Mahdavi-Meymand, W Sulisz… - … Methods in Engineering, 2024 - Springer
It has been claimed throughout the last two decades that hydrological machine learning
(ML) models may produce more accurate and resilient simulations than previous …

A stochastic Bayesian artificial intelligence framework to assess climatological water balance under missing variables for evapotranspiration estimates

VP Ribeiro, L Desuó Neto, PAA Marques, JA Achcar… - Agronomy, 2023 - mdpi.com
The sustainable use of water resources is of utmost importance given climatological
changes and water scarcity, alongside the many socioeconomic factors that rely on clean …

Reference evapotranspiration projections in Southern Spain (until 2100) using temperature-based machine learning models

JA Bellido-Jiménez, J Estevez… - Computers and Electronics …, 2023 - Elsevier
This study firstly examines the performance of temperature-based machine learning models
for estimating reference evapotranspiration (ET 0), an essential parameter for water …

Assessment of Multifractal Fingerprints of Reference Evapotranspiration Based on Multivariate Empirical Mode Decomposition

A Sankaran, T Plocoste, V Nourani, S Vahab, A Salim - Atmosphere, 2023 - mdpi.com
This study analyzed the multifractal characteristics of daily reference evapotranspiration
(ETo) time series of the Tabriz and Urmia stations of northwestern Iran and its cross …