Water resources of desired quality and quantity are the foundation for human survival and
sustainable development. To better protect the water environment and conserve water …

Heavy computational load inhibits the application of groundwater contaminant numerical
model to groundwater pollution source identification, remediation design, and uncertainty …

This review paper closely explores the techniques and significances of the most potent
artificial intelligence (AI) approaches in a concise and integrated way, specifically in the …

This paper compares various training methods available for training multi-layer perceptron
(MLP) type of artificial neural networks (ANNs) for modelling the rainfall–runoff process. The …

Fast and accurate identification of unknown pollution sources is a crucial and challenging
task in water resources management, in which the characteristics of unknown pollution …

Computational cost poses a major obstacle to the design of indoor environments with the
current optimal method and computational fluid dynamics (CFD). A novel optimization …

This study proposes a linked simulation–optimization model for solving the unknown
groundwater pollution source identification problems. In the proposed model, MODFLOW …

The genetic algorithm (GA)–based simulation optimization approach is used for optimal
identification of unknown groundwater pollution sources. Simple as well as complex …

Pumping optimization of coastal aquifers involves complex numerical models. In problems
with many decision variables, the computational burden for reaching the optimal solution …

Forty years and 157 papers later, research on contaminant source identification has grown
exponentially in number but seems to be stalled concerning advancement towards the …