Abstract:

Groundwater is widely used in the national economy, so it is important to forecast the change in groundwater reserves that characterize it as water level. In this paper we use SVM (Support Vector Machine) method to forecast groundwater table for wells in Hanoi area. The test was conducted with 2 forecasting options. The first is that we predict future water levels based on current and past water levels. The second option, according to hydrological studies, data on rain, also has a huge impact on future groundwater reserves. Forecasting needs both current rainfall and past rainfall.