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Simulation of Seawater Intrusion Area Using Feedforward Neural Network in Longkou, China
2020
Water
Reliable simulation of seawater intrusion (SI) is necessary for sustainable groundwater utilization. As a powerful tool, feedforward neural network (FNN) was applied to study seawater intrusion area (SIA) fluctuations in Longkou, China. In the present study, changes of groundwater level (GWL) were modeled by FNN Model 1. Then, FNN Model 2 was developed for fitting the relationship between GWL and SIA. Finally, two models were integrated to simulate SIA changes in response to climatic and
doi:10.3390/w12082107
fatcat:qoxanib5rvdhzhnlgnqviazbbe