Nowadays, declining water quality is a significant concern for the world because of rapid
population growth, agricultural and industrial activity enhancement, global warming, and …

This study reported the state of the art of different artificial intelligence (AI) methods for
groundwater quality (GWQ) modeling and introduce a brief description of common AI …

In recent decades, the simulation and modeling of water quality parameters have been
useful for monitoring and assessment of the quality of water resources. Moreover, the use of …

The quality of water used for irrigation is one of the major threats to maintaining the long-
term sustainability of agricultural practices. Although some studies have addressed the …

Groundwater is an important source for the agricultural needs in Thanjavur district, Tamil
Nadu State, India. This study focused on assessing the groundwater suitableness for …

Accurate prediction of dissolved oxygen (DO) concentration is important for managing
healthy aquatic ecosystems. This study investigates the comparative potential of the …

Uncertainty in the supply and demand and a lack of available freshwater resources require a
better management plan for sustainable development in agriculturally dependent …

Abstract Evaluation of the hydrogeochemical processes governing the heavy metal
distribution and the associated health risk is important in managing and protecting the health …

This paper presents a new machinery of compositional rule of inference called fractional
fuzzy inference system (FFIS). An FFIS is a fuzzy inference system (FIS) in which consequent …

The water quality index (WQI) is an appropriate technique for the assessment of drinking
water quality based on several water quality parameters. Due to the high and fluctuating …