A comprehensive review of artificial intelligence-based methods for predicting pan evaporation rate

M Abed, MA Imteaz, AN Ahmed - Artificial Intelligence Review, 2023 - Springer
This comprehensive study reviews the latest and most popular artificial intelligence (AI)
techniques utilised for estimating pan evaporation (Ep), an essential parameter for water …

[HTML][HTML] Data intelligence model and meta-heuristic algorithms-based pan evaporation modelling in two different agro-climatic zones: a case study from Northern India

NL Kushwaha, J Rajput, A Elbeltagi, AY Elnaggar… - Atmosphere, 2021 - mdpi.com
Precise quantification of evaporation has a vital role in effective crop modelling, irrigation
scheduling, and agricultural water management. In recent years, the data-driven models …

[HTML][HTML] Data construction methodology for convolution neural network based daily runoff prediction and assessment of its applicability

CM Song - Journal of Hydrology, 2022 - Elsevier
A conceptual runoff model mathematically expresses hydrological phenomena originating
from spatial and temporal changes based on physical laws; thus, it can describe causal …

[HTML][HTML] Two comprehensive and practical methods for simulating pan evaporation under different climatic conditions in Iran

MH Dehghanipour, H Karami, H Ghazvinian… - Water, 2021 - mdpi.com
Evaporation from surface water plays a crucial role in water accounting of basins, water
resource management, and irrigation systems management. As such, the simulation of …

Investigating the performance of neural network based group method of data handling to Pan's daily evaporation estimation (Case study: Garmsar City)

H Karami, H Ghazvinian, M Dehghanipour… - Journal of Soft …, 2021 - jsoftcivil.com
Evaporation is a complex and nonlinear phenomenon due to the interactions of different
climatic factors. Therefore, advanced models should be used to estimate evaporation. In the …

[HTML][HTML] Hydrometeorological drought forecasting in hyper-arid climates using nonlinear autoregressive neural networks

AA Alsumaiei, MS Alrashidi - Water, 2020 - mdpi.com
Drought forecasting is an essential component of efficient water resource management that
helps water planners mitigate the severe consequences of water shortages. This is …

Quick integrative optimizers for minimizing the error of neural computing in pan evaporation modeling

H Moayedi, S Ghareh, LK Foong - Engineering with Computers, 2022 - Springer
To achieve an efficient methodology for approximating pan evaporation (EP), this study
offers two metaheuristic-integrated predictors. Shuffled complex evolution (SCE) and …

[HTML][HTML] Evaluating three supervised machine learning algorithms (LM, BR, and SCG) for daily pan evaporation estimation in a semi-arid region

P Aghelpour, Z Bagheri-Khalili, V Varshavian… - Water, 2022 - mdpi.com
Evaporation is one of the main components of the hydrological cycle, and its estimation is
crucial and important for water resources management issues. Access to a reliable estimator …

Introducing affordable and accessible physical covers to reduce evaporation from agricultural water reservoirs and pools (field study, statistics, and intelligent methods …

H Ghazvinian, H Karami, S Farzin… - Arabian Journal of …, 2021 - Springer
Nowadays, a major part of the stored surface water resources is wasted by evaporation. By
implementing low-cost methods to prevent water evaporation, it is possible to return this part …

[HTML][HTML] Reliable evapotranspiration predictions with a probabilistic machine learning framework

H Başağaoğlu, D Chakraborty, J Winterle - Water, 2021 - mdpi.com
Evapotranspiration is often expressed in terms of reference crop evapotranspiration (ET o),
actual evapotranspiration (ET a), or surface water evaporation (E sw), and their reliable …