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 …
A review of recent advances and future prospects in calculation of reference evapotranspiration in Bangladesh using soft computing models
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 …
impact on efficient water resource planning and long-term management. The Penman …
[HTML][HTML] Future trends of reference evapotranspiration in Sicily based on CORDEX data and Machine Learning algorithms
F Di Nunno, F Granata - Agricultural Water Management, 2023 - Elsevier
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 …
[HTML][HTML] A research landscape bibliometric analysis on climate change for last decades: Evidence from applications of machine learning
Climate change (CC) is one of the greatest threats to human health, safety, and the
environment. Given its current and future impacts, numerous studies have employed …
environment. Given its current and future impacts, numerous studies have employed …
[HTML][HTML] A hybrid spatiotemporal deep model based on CNN and LSTM for air pollution prediction
S Tsokov, M Lazarova, A Aleksieva-Petrova - Sustainability, 2022 - mdpi.com
Nowadays, air pollution is an important problem with negative impacts on human health and
on the environment. The air pollution forecast can provide important information to all …
on the environment. The air pollution forecast can provide important information to all …
[HTML][HTML] Enhancing real-time prediction of effluent water quality of wastewater treatment plant based on improved feedforward neural network coupled with …
Y Xie, Y Chen, Q Lian, H Yin, J Peng, M Sheng… - Water, 2022 - mdpi.com
To provide real-time prediction of wastewater treatment plant (WWTP) effluent water quality,
a machine learning (ML) model was developed by combining an improved feedforward …
a machine learning (ML) model was developed by combining an improved feedforward …
Design data decomposition-based reference evapotranspiration forecasting model: a soft feature filter based deep learning driven approach
Reference evapotranspiration can cause huge discrepancies in soil moisture and runoff
which is responsible for uncertainties in drought warning systems. Reference …
which is responsible for uncertainties in drought warning systems. Reference …
[HTML][HTML] Predicting rainfall response to climate change and uncertainty analysis: Introducing a novel downscaling CMIP6 models technique based on the stacking …
MV Anaraki, M Kadkhodazadeh… - Journal of Water and …, 2023 - iwaponline.com
This study proposes a novel downscaling technique based on stacking ensemble machine
learning (SEML) to predict rainfall under climate change. The SEML consists of two levels …
learning (SEML) to predict rainfall under climate change. The SEML consists of two levels …
[HTML][HTML] Comparison of machine learning techniques and spatial distribution of daily reference evapotranspiration in Türkiye
Reference evapotranspiration (ET0) estimates are commonly used in hydrologic planning
for water resources and agricultural applications. Last 2 decades, machine learning (ML) …
for water resources and agricultural applications. Last 2 decades, machine learning (ML) …
Prediction of groundwater table and drought analysis; a new hybridization strategy based on bi-directional long short-term model and the Harris hawk optimization …
In the present study, a new hybridization strategy for predicting the groundwater table (GWT)
and drought analysis is presented. Therefore, a hybrid of the bi-directional long short-term …
and drought analysis is presented. Therefore, a hybrid of the bi-directional long short-term …