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An Intelligent Analytics System for Real-Time Catchment Regulation and Water Management

机译：实时集水管理和水管理的智能分析系统

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摘要

Regulation procedures and water management that incorporate projected hydrological changes with related uncertainties become extremely important in order to prevent degradation of water ecosystems. Ensuring real time water management and optimization becomes mandatory for resolving the constraints of water supply/demand and to comply with biodiversity requirements. We focus our research on water optimization and catchment regulation and present our solution that has been developed as part of the Innovate UK Radical project.n1n>Developing a Real Time Abstraction and Discharge Permitting Process for Catchment Regulation and Optimized Water Management.nIn our study, we use the Usk reservoir in South Wales with rich biodiversity and nationally significant fishery to optimize catchment flow and to conserve water with real-time catchment management information to support the decision makers. Our developed solution uses artificial intelligence techniques to deliver real-time decision support for water management and catchment regulation with reflection to biodiversity protection and reservation. We present an intelligent analytics system that uses real-time data from river stations enabling informed decisions and a more dynamic approach for managing water resources. The system utilizes a neuronal network engine to support river level prediction based on which a dependency modeling is developed for assessing the probability of risk in the Usk reservoir.
机译：为了防止水生态系统退化，将预计的水文变化与相关不确定性结合在一起的调节程序和水管理变得极为重要。确保实时水管理和优化对于解决供水/需求限制和遵守生物多样性要求成为强制性的。我们将研究重点放在水的优化和集水区调节上，并提出作为创新英国激进项目一部分开发的解决方案。n 1 n

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