Groundwater plays a vital role in food security, water availability, and economic growth of
more than 1.3 billion people in India. Notwithstanding the development of irrigation schemes …

There has been an unsettling rise in the intensity and frequency of natural disasters due to
climate change and anthropogenic activities. Artificial intelligence (AI) models have shown …

Using conventional methods to evaluate the irrigation water quality is usually expensive and
laborious for the farmers, particularly in developing countries. However, the applications of …

It is now well established to use shallow artificial neural networks (ANNs) to obtain accurate
and reliable groundwater level forecasts, which are an important tool for sustainable …

Developing accurate lake water level (WL) forecasting models is important for flood control,
shoreline maintenance and sustainable water resources planning and management. In this …

Monitoring groundwater level (GWL) over long time periods is critical in understanding the
variability of groundwater resources in the present context of global changes. However, in …

Groundwater salinization is considered as a major environmental problem in worldwide
coastal areas, influencing ecosystems and human health. However, an accurate prediction …

The application of neural networks (NN) in groundwater (GW) level prediction has been
shown promising by previous works. Yet, previous works have relied on a variety of inputs …

Developing models that can accurately simulate groundwater level is important for water
resource management and aquifer protection. In particular, machine learning tools provide a …

Accurate prediction of groundwater levels (GWLs) is of significant importance in the
sustainable use and efficient management of groundwater resources. A comparative study is …