Results 1 to 10 of about 1,306,711 (188)
Modelling monthly pan evaporation utilising Random Forest and deep learning algorithms. [PDF]
Sci Rep, 2022 Evaporation is the primary aspect causing water loss in the hydrological cycle; therefore, water loss must be precisely measured. Evaporation is an intricate nonlinear process occurring as a result of several climatic aspects.
Abed M, Imteaz MA, Ahmed AN, Huang YF.
europepmc +2 more sources
Application of long short-term memory neural network technique for predicting monthly pan evaporation. [PDF]
Sci Rep, 2021 Evaporation is a key element for water resource management, hydrological modelling, and irrigation system designing. Monthly evaporation (Ep) was projected by deploying three machine learning (ML) models included Extreme Gradient Boosting, ElasticNet ...
Abed M, Imteaz MA, Ahmed AN, Huang YF.
europepmc +2 more sources
Modeling of pan evaporation based on the development of machine learning methods [PDF]
Theoretical and Applied Climatology, 2021 For the effective planning and management of water resources and the implementation of related strategies, evaporation losses must be estimated properly, especially in regions that are prone to drought. Changes in climatic factors, such as in temperature,
M. Al-Mukhtar
semanticscholar +1 more source
Engineering Applications of Computational Fluid Mechanics, 2023 This study investigates the feasibility of a relevance vector machine tuned with improved Manta-Ray foraging optimization (RVM-IMRFO) in predicting monthly pan evaporation using limited climatic input data (e.g. temperature).
R. Adnan +5 more
semanticscholar +1 more source
Deep learning versus gradient boosting machine for pan evaporation prediction
Engineering Applications of Computational Fluid Mechanics, 2022 In the present study, two innovative techniques namely, Deep Learning (DL) and Gradient boosting Machine (GBM) models are developed based on a maximum air temperature ‘univariate modeling scheme’ for modeling the monthly pan evaporation (E pan) process ...
Anurag Malik +8 more
semanticscholar +1 more source
Atmosphere, 2021 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 using meta-heuristics algorithms have attracted the attention of ...
N. L. Kushwaha +7 more
semanticscholar +1 more source
Applied Water Science, 2022 Exact estimation of evaporation rates is very important in a proper planning and efficient operation of water resources projects and agricultural activities.
A. Elbeltagi +4 more
semanticscholar +1 more source
Regional estimation of daily to annual regional evapotranspiration with MODIS data in the Yellow River Delta wetland [PDF]
, 2009 Evapotranspiration (ET) from the wetland of the Yellow River Delta (YRD) is one of the important components in the water cycle, which represents the water consumption by the plants and evaporation from the water and the non-vegetated surfaces.
Huang, C. +5 more
core +13 more sources
Water, 2022 Precise estimation of pan evaporation is necessary to manage available water resources. In this study, the capability of three hybridized models for modeling monthly pan evaporation (Epan) at three stations in the Dongting lake basin, China, were ...
Rana Muhammad Adnan Ikram +5 more
semanticscholar +1 more source
A novel application of transformer neural network (TNN) for estimating pan evaporation rate
Applied Water Science, 2022 For decision-making in farming, the operation of dams and irrigation systems, as well as other fields of water resource management and hydrology, evaporation, as a key activity throughout the universal hydrological processes, entails efficient techniques
Mustafa Abed +3 more
semanticscholar +1 more source