SYSTEM METHOD AND APPARATUS FOR AI-BASED ADAPTIVE CONTROL OF HYDROLOGY MANAGEMENT FOR BASIN RIVERS

Artificial intelligence-based watershed hydrology analysis and management having of a network of weather stations and artificial drainage systems with artificial and natural reservoir management through locks and pumping stations. Methods and systems evaluate hydrologic risk in each area and analyse the consequences of future precipitations using neural network assisted simulation. Hydrographs calculated for each sub-basin, streams and rivers in the basin simulates the behavior of the basin under different scenarios corresponding to different types of management of the operation of locks and/or pumps and compares its results in terms of loss of flooded area, economic loss in each area, loss for flooding of urban areas, etc. Optimization of the simulation by artificial intelligence meta-heuristic algorithms, multi-layered neural network acts as a search engine to find mitigation solutions and best configurations of resource management controls to minimize socio-economic impacts on each basin.