Developing accurate soft computing methods for groundwater level (GWL) forecasting is
essential for enhancing the planning and management of water resources. Over the past two …

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 …

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 …

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 …

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 …

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 main objective of this study is to predict groundwater levels (GWLs) using modified
hybrid algorithms with two levels of improvement. The observed GWLs, precipitation, and …

Agricultural water demand, groundwater extraction, surface water delivery and climate
exhibit complex nonlinear relationships with groundwater storage in agricultural regions. As …

Nowadays, in order to sustainably manage surface and groundwater resources, it is crucial
to have knowledge of groundwater levels. The Shabestar Plain is one of the plains with …

Conventional vapor-compression cooling for outdoor air dehumidification is energy
intensive, especially in hot and humid regions. To reduce energy consumption, desiccant …