A computer-implemented hydrological analysis and management process for river basins characterized in that it comprises the following stages measuring data and surveying historical data through weather stations previously installed and distributed throughout a basin, the weather stations being provided with sensors and means of data acquisition, and transmission systems capable of transmitting data on-line to a data acquisition center and data base. predicting a behavior of the basin towards a meteorological event through a predictive module that includes a dynamic artificial neural network trained to generate predictions depending on data pre-processed and collected by the weather stations and the neural network's own predictions for previous events, and generating and providing mitigation strategies to minimize the impact of the meteorological event on the basis of collected information, where the creation of such strategies entails: evaluating data through a geographical information system that divides the area under evaluation into cells based on a flooding forecast and information of water level present in such area, analyzing the event through superimposed layers with different incidence weighing values for each of them determined by socio-economic information, obtaining a single layer with water levels derived from the superimposition of remaining layers analyzed that minimize the socio-economic impact on the basin through an Al-assisted decision-making module with MCDA vectorial optimization algorithms, and simulating operation of floodgates and pumps needed for the basin to achieve a required state within a certain period of time setting water volumes that should be released and their direction to control flooding in accordance with protective criteria selected; and where the provision of the mitigation strategies includes: preparing an operating report and sending it online to a control room from where the actuation of the floodgates and pumping stations available for drainage control is directed and executed. measuring data and surveying historical data through weather stations previously installed and distributed throughout a basin, the weather stations being provided with sensors and means of data acquisition, and transmission systems capable of transmitting data on-line to a data acquisition center and data base. predicting a behavior of the basin towards a meteorological event through a predictive module that includes a dynamic artificial neural network trained to generate predictions depending on data pre-processed and collected by the weather stations and the neural network's own predictions for previous events, and generating and providing mitigation strategies to minimize the impact of the meteorological event on the basis of collected information, where the creation of such strategies entails: evaluating data through a geographical information system that divides the area under evaluation into cells based on a flooding forecast and information of water level present in such area, analyzing the event through superimposed layers with different incidence weighing values for each of them determined by socio-economic information, obtaining a single layer with water levels derived from the superimposition of remaining layers analyzed that minimize the socio-economic impact on the basin through an Al-assisted decision-making module with MCDA vectorial optimization algorithms, and simulating operation of floodgates and pumps needed for the basin to achieve a required state within a certain period of time setting water volumes that should be released and their direction to control flooding in accordance with protective criteria selected; and where the provision of the mitigation strategies includes: preparing an operating report and sending it online to a control room from where the actuation of the floodgates and pumping stations available for drainage control is directed and executed. evaluating data through a geographical information system that divides the area under evaluation into cells based on a flooding forecast and information of water level present in such area, analyzing the event through superimposed layers with different incidence weighing values for each of them determined by socio-economic information, obtaining a single layer with water levels derived from the superimposition of remaining layers analyzed that minimize the socio-economic impact on the basin through an Al-assisted decision-making module with MCDA vectorial optimization algorithms, and simulating operation of floodgates and pumps needed for the basin to achieve a required state within a certain period of time setting water volumes that should be released and their direction to control flooding in accordance with protective criteria selected; and where the provision of the mitigation strategies includes: preparing an operating report and sending it online to a control room from where the actuation of the floodgates and pumping stations available for drainage control is directed and executed.