APPLICATION OF DIGITAL TWIN AND AI TECHNOLOGIES IN TRANSBOUNDARY WATER RESOURCE MANAGEMENT (BASED ON THE EXPERIENCE OF THE EUROPEAN UNION)

Abstract

This research evaluates the operational shift in multilateral ecological governance achieved through advanced computing frameworks deployed across shared European watersheds from 2021 to 2026. The analysis details the transition from retrospective environmental legalism to real-time predictive equilibrium, establishing how cloud-based river duplicates mitigate upstream-downstream political imbalances. Through a review of remote-sensing data verification and continuous subterranean tracking, the study proves that computational consensus acts as the primary deterrent against unilateral water diversion and uncoordinated industrial exploitation during extreme climatic shifts.