A review of the Artificial Intelligence (AI) based techniques for estimating reference evapotranspiration: Current trends and future perspectives
Reference Evapotranspiration (ET o) is a complex, dynamic and non-linear hydrological
process. Accurate estimation of ET o has long been an eminent topic of interest in the …
process. Accurate estimation of ET o has long been an eminent topic of interest in the …
Multivariate data decomposition based deep learning approach to forecast one-day ahead significant wave height for ocean energy generation
Significant wave height is an average of the largest ocean waves, which are important for
renewable and sustainable energy resource generation. A large significant wave height can …
renewable and sustainable energy resource generation. A large significant wave height can …
[HTML][HTML] Future trends of reference evapotranspiration in Sicily based on CORDEX data and Machine Learning algorithms
In years of increasing impact of climate change effects, a reliable characterization of the
spatiotemporal evolutionary dynamics of evapotranspiration can enable a significant …
spatiotemporal evolutionary dynamics of evapotranspiration can enable a significant …
Metaheuristic approaches for prediction of water quality indices with relief algorithm-based feature selection
Monitoring and assessing groundwater quality are important for sustainable water resource
management. Therefore, the present study aimed to analyze and predict the water quality …
management. Therefore, the present study aimed to analyze and predict the water quality …
Development of wavelet-based kalman online sequential extreme learning machine optimized with boruta-random forest for drought index forecasting
Drought is a stochastic and recurring hydrological natural hazard that occurs due to a
shortage of precipitation over a period of time. Drought forecasting in water resources …
shortage of precipitation over a period of time. Drought forecasting in water resources …
Simulation of daily maize evapotranspiration at different growth stages using four machine learning models in semi-humid regions of northwest China
Z Wu, N Cui, D Gong, F Zhu, L **ng, B Zhu, X Chen… - Journal of …, 2023 - Elsevier
The accurate estimation of crop evapotranspiration (ET c) is essential for precision irrigation,
optimal allocation of regional water resources, and efficiency improvement of agricultural …
optimal allocation of regional water resources, and efficiency improvement of agricultural …
[HTML][HTML] Short-term prediction of reference crop evapotranspiration based on machine learning with different decomposition methods in arid areas of China
Y Lu, T Li, H Hu, X Zeng - Agricultural Water Management, 2023 - Elsevier
This paper established hybrid prediction models based on variational mode decomposition
(VMD), empirical mode decomposition (EMD), and ensemble empirical mode decomposition …
(VMD), empirical mode decomposition (EMD), and ensemble empirical mode decomposition …
Applications of XGBoost in water resources engineering: A systematic literature review (Dec 2018–May 2023)
Abstract Applications of Machine Learning methods make a paradigm shift in the domain of
water resources engineering. This study not only presents the story of emerging eXtreme …
water resources engineering. This study not only presents the story of emerging eXtreme …
Hybridization of deep learning, nonlinear system identification and ensemble tree intelligence algorithms for pan evaporation estimation
A reliable pan evaporation (E pan) estimation over a daily scale is vital for sustainable water
and agriculture management, especially for designing water use allocations, irrigation …
and agriculture management, especially for designing water use allocations, irrigation …
Monthly sodium adsorption ratio forecasting in rivers using a dual interpretable glass-box complementary intelligent system: hybridization of ensemble TVF-EMD-VMD …
The sodium adsorption ratio (SAR) is the most crucial irrigation water quality indicator to
diagnose the suitability of agricultural water resources. Due to this reason, accurate …
diagnose the suitability of agricultural water resources. Due to this reason, accurate …