While the application of neural networks for groundwater level forecasting in general has
been investigated by many authors, the use of nonlinear autoregressive networks with
exogenous inputs (NARX) is relatively new. For this work NARX were applied to obtain
groundwater level forecasts for several wells in southwest Germany. Wells in porous,
fractured and karst aquifers were investigated and forecasts of lead times up to half a year
were conducted for both influenced (eg nearby pumping) and uninfluenced wells …

The water demand is proportionally increasing with the world growing population,
increasing urbanization, and changing living standards. Turkey is a country that suffers from
water scarcity. Although Central Anatolia of Turkey has important basins such as Lake Tuz
and Beysehir Lake, these basins suffer from drying up. Therefore, monitoring the
sustainability of water has become a critical issue and require an innovative and accurate
management system On the search for accurate techniques and tools to collect all …