Groundwater level forecasting with machine learning models: A review
Groundwater, the world's most abundant source of freshwater, is rapidly depleting in many
regions due to a variety of factors. Accurate forecasting of groundwater level (GWL) is …
regions due to a variety of factors. Accurate forecasting of groundwater level (GWL) is …
Hybrid support vector regression models with algorithm of innovative gunner for the simulation of groundwater level
Groundwater level time series is a prime factor for variety of groundwater studies and is of
great significance for the management of groundwater resources. Quality control of …
great significance for the management of groundwater resources. Quality control of …
Improving forecasting accuracy of multi-scale groundwater level fluctuations using a heterogeneous ensemble of machine learning algorithms
Accurate groundwater level (GWL) forecasts are crucial for the efficient utilization, strategic
long-term planning, and sustainable management of finite groundwater resources. These …
long-term planning, and sustainable management of finite groundwater resources. These …
Groundwater quality: The application of artificial intelligence
MH Al-Adhaileh, THH Aldhyani… - … and Public Health, 2022 - Wiley Online Library
Humans and all other living things depend on having access to clean water, as it is an
indispensable essential resource. Therefore, the development of a model that can predict …
indispensable essential resource. Therefore, the development of a model that can predict …
Groundwater level forecasting using ensemble coactive neuro-fuzzy inference system
A modeling framework utilizing the coactive neuro-fuzzy inference system (CANFIS) has
been developed for multi-lead time groundwater level (GWL) forecasting in four different …
been developed for multi-lead time groundwater level (GWL) forecasting in four different …
Prediction of water distribution uniformity of sprinkler irrigation system based on machine learning algorithms
KT Elhussiny, AM Hassan, AA Habssa, A Mokhtar - Scientific Reports, 2023 - nature.com
The coefficients of uniformity Christiansen's uniformity coefficient (CU) and distribution
uniformity (DU) are an important parameter for designing irrigation systems, and are an …
uniformity (DU) are an important parameter for designing irrigation systems, and are an …
Machine learning and regression-based techniques for predicting sprinkler irrigation's wind drift and evaporation losses
MA Mattar, DK Roy, HM Al-Ghobari… - Agricultural Water …, 2022 - Elsevier
Wind drift and evaporation losses (WDEL), which can occur as a result of operational and
meteorological factors, are two of the most significant sprinkler-irrigation losses that can …
meteorological factors, are two of the most significant sprinkler-irrigation losses that can …
Multiscale groundwater level forecasts with multi-model ensemble approaches: Combining machine learning models using decision theories and bayesian model …
Creating precise groundwater level (GWL) prediction models is of crucial significance for the
productive use, extended planning, and controlling of limited sub-surface water supplies. In …
productive use, extended planning, and controlling of limited sub-surface water supplies. In …
Prediction of monthly groundwater level using a new hybrid intelligent approach in the Tabriz plain, Iran
Predicting the groundwater level (GWL) is essential in water resource management and
irrigation planning in arid and semi-arid areas. In this study, an artificial neural network …
irrigation planning in arid and semi-arid areas. In this study, an artificial neural network …
Comparative assessment of deep belief network and hybrid adaptive neuro-fuzzy inference system model based on a meta-heuristic optimization algorithm for precise …
Accurately predicting potential evapotranspiration (PET) is crucial in water resource
management, agricultural planning, and climate change studies. This research aims to …
management, agricultural planning, and climate change studies. This research aims to …