Neural networks to estimate hydrographic basins evolution

The complex relations between human activities and coastal erosion within hydrographic basins is investigated. Neural networks have been adopted to develop suitable models relating the coast position to some quantities that influence the hydrographic basin equilibrium. The models have been obtained by using experimental data collected in a period covering nearly fifty years. In particular a case study has been considered referring to the Simeto river basin, the main hydrographic basin of Sicily. The results reported show the suitability of the proposed approach. The neural models introduced can be considered as a new tool for decision support in the field of hydrographic basins management