A. Rashno

Enhancing groundwater level forecasting using LSTM: integrating hydrogeological variability for improved accuracy (case study: Dez Plain, Iran)

The performance of data driven models for groundwater level forecasting varies widely across hydrogeological settings. Conventional practice often responds with increasingly complex model architectures, while overlooking the inherent predictability of the underlying system. This study challenges that approach and argue...