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 …

This study is a review to the special issue on artificial intelligence (AI) methods for
groundwater level (GWL) modeling and forecasting, and presents a brief overview of the …

In the present study, six meta-heuristic schemes are hybridized with artificial neural network
(ANN), adaptive neuro-fuzzy interface system (ANFIS), and support vector machine (SVM) …

The accurate assessment of groundwater levels is critical to water resource management.
With global warming and climate change, its significance has become increasingly evident …

Climate change is one of the main sources of stress on the aquifers. However, few studies
have appraised its impact on groundwater systems, especially in Iran with unprecedented …

The accelerated trend of urbanization as well as industrial development in Karaj can be
mentioned as the major reasons for speeding up the exploitation of water resources in this …

Peak discharge is an essential element of hydrological forecasting. Due to rapid outbreaks
of flash floods in hilly areas and the lack of measured data, the fast and accurate estimation …

Groundwater, the world's most abundant source of freshwater, is rapidly depleting in many
regions due to a variety of factors. Groundwater resources (GWR) play a crucial role in daily …

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 …

This study aims to investigate Sabzevar playa in the northeast of the Great Kavir in terms of
geomorphology, bulk and clay mineralogy, as well as the geochemistry of core sediments …