Stocastic methods predicting the depth to groundwater of acquifers used to supply the water network managed by multy-utility ACEA

Abstract

In work we will focus only on the water sector to help Acea Group preserve precious waterbodies. As it is easy to imagine, a water supply company struggles with the need to forecast the water level in a waterbody (water spring, lake, river, or aquifer) to handle daily consumption. During fall and winter waterbodies are refilled, but during spring and summer they start to drain. To help preserve the health of these waterbodies. This work allowed us to create an application to predict the water level in a waterbody (water spring, lake, river, or aquifer) to handle daily consumption. This type of information is strategic for planning supply sources and water networks.