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[HTML][HTML] Groundwater level prediction using machine learning models: A comprehensive review
Develo** accurate soft computing methods for groundwater level (GWL) forecasting is
essential for enhancing the planning and management of water resources. Over the past two …
essential for enhancing the planning and management of water resources. Over the past two …
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 …
[HTML][HTML] Extreme gradient boosting (Xgboost) model to predict the groundwater levels in Selangor Malaysia
Groundwater levels have been declining recently in Malaysia. This is why, the current study
was aimed to propose an accurate groundwater levels prediction model using machine …
was aimed to propose an accurate groundwater levels prediction model using machine …
A comprehensive review of conventional, machine leaning, and deep learning models for groundwater level (GWL) forecasting
Groundwater level (GWL) refers to the depth of the water table or the level of water below the
Earth's surface in underground formations. It is an important factor in managing and …
Earth's surface in underground formations. It is an important factor in managing and …
A secondary modal decomposition ensemble deep learning model for groundwater level prediction using multi-data
X Cui, Z Wang, N Xu, J Wu, Z Yao - Environmental Modelling & Software, 2024 - Elsevier
Groundwater level (GWL) prediction is important for ecological protection and resource
utilization; it helps in formulating policies for artificial groundwater recharge, modifying the …
utilization; it helps in formulating policies for artificial groundwater recharge, modifying the …
Modeling spatial groundwater level patterns of Bangladesh using physio-climatic variables and machine learning algorithms
Groundwater monitoring is essential for sustainable groundwater resource management in a
country like Bangladesh, where this precious resource is gradually declining due to over …
country like Bangladesh, where this precious resource is gradually declining due to over …
Past, present and perspective methodology for groundwater modeling-based machine learning approaches
Growing population and rapid urbanization are among the major causes of ground water
level (GWL) depletion. Modeling GWL is considered as tough task as the GWL variation …
level (GWL) depletion. Modeling GWL is considered as tough task as the GWL variation …
Research on water resource modeling based on machine learning technologies
Z Liu, J Zhou, X Yang, Z Zhao, Y Lv - Water, 2024 - mdpi.com
Water resource modeling is an important means of studying the distribution, change,
utilization, and management of water resources. By establishing various models, water …
utilization, and management of water resources. By establishing various models, water …
Assessment of Advanced Machine and Deep Learning Approaches for Predicting CO2 Emissions from Agricultural Lands: Insights Across Diverse Agroclimatic Zones
E Harsányi, M Mirzaei, S Arshad, F Alsilibe… - Earth Systems and …, 2024 - Springer
Prediction of carbon dioxide (CO2) emissions from agricultural soil is vital for efficient and
strategic mitigating practices and achieving climate smart agriculture. This study aimed to …
strategic mitigating practices and achieving climate smart agriculture. This study aimed to …
Modelling groundwater level fluctuations in urban areas using artificial neural network
A Malik, A Bhagwat - Groundwater for Sustainable Development, 2021 - Elsevier
Rapid increase in urban areas due to rise in population and industrialization has increased
the demand for water resources. Further, the changing land use pattern due to urban …
the demand for water resources. Further, the changing land use pattern due to urban …