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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 …
Conceptualizing future groundwater models through a ternary framework of multisource data, human expertise, and machine intelligence
Groundwater models are essential for understanding aquifer systems behavior and effective
water resources spatio-temporal distributions, yet they are often hindered by challenges …
water resources spatio-temporal distributions, yet they are often hindered by challenges …
Differentiable, learnable, regionalized process‐based models with multiphysical outputs can approach state‐of‐the‐art hydrologic prediction accuracy
Predictions of hydrologic variables across the entire water cycle have significant value for
water resources management as well as downstream applications such as ecosystem and …
water resources management as well as downstream applications such as ecosystem and …
Deep learning shows declining groundwater levels in Germany until 2100 due to climate change
In this study we investigate how climate change will directly influence the groundwater
resources in Germany during the 21st century. We apply a machine learning groundwater …
resources in Germany during the 21st century. We apply a machine learning groundwater …
Graph neural network for groundwater level forecasting
Accurate prediction of groundwater level (GWL) over a period of time is of great importance
for groundwater resources management. Machine learning techniques due to their great …
for groundwater resources management. Machine learning techniques due to their great …
AutoML-GWL: automated machine learning model for the prediction of groundwater level
Predicting groundwater levels is pivotal in curbing overexploitation and ensuring effective
water resource governance. However, groundwater level prediction is intricate, driven by …
water resource governance. However, groundwater level prediction is intricate, driven by …
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 …
Simulation of regional groundwater levels in arid regions using interpretable machine learning models
Regional groundwater level forecasting is critical to water resource management, especially
for arid regions which require effective management of groundwater resources to meet …
for arid regions which require effective management of groundwater resources to meet …
Prediction of surface urban heat island based on predicted consequences of urban sprawl using deep learning: A way forward for a sustainable environment
The present work aimed at the spatiotemporal analysis of Land Surface Temperature (LST)
and several land-use land-cover spectral indices, namely Normalized Difference Vegetation …
and several land-use land-cover spectral indices, namely Normalized Difference Vegetation …
Sediment load prediction in Johor river: deep learning versus machine learning models
Sediment transport is a normal phenomenon in rivers and streams, contributing significantly
to ecosystem production and preservation by replenishing vital nutrients and preserving …
to ecosystem production and preservation by replenishing vital nutrients and preserving …