AIMC Topic: Water Resources

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A comprehensive review of deep learning applications in hydrology and water resources.

Water science and technology : a journal of the International Association on Water Pollution Research Dec 1, 2020
The global volume of digital data is expected to reach 175 zettabytes by 2025. The volume, variety and velocity of water-related data are increasing due to large-scale sensor networks and increased attention to topics such as disaster response, water...
Deep Learning Climate Change Hydrology Water Resources
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Application of Fuzzy Set/Qualitative Comparative Analysis to Public Participation Projects in Support of the EU Water Framework Directive.

Water environment research : a research publication of the Water Environment Federation Jan 1, 2018
  This study analyzes the level of satisfaction of stakeholders in the public participation process (PPP) of water resources management, which is mandatory according to the EU Water Framework Directive (WFD). The methodology uses a fuzzy set/qualitat...
Humans Waste Disposal, Fluid Fuzzy Logic Community Participation Conservation of Natural Resources Uncertainty European Union Water Resources
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Hybrid wavelet-support vector machine approach for modelling rainfall-runoff process.

Water science and technology : a journal of the International Association on Water Pollution Research Jan 1, 2016
Because of the importance of water resources management, the need for accurate modeling of the rainfall-runoff process has rapidly grown in the past decades. Recently, the support vector machine (SVM) approach has been used by hydrologists for rainfa...
Neural Networks, Computer Models, Theoretical Support Vector Machine Rivers Rain Water Movements Hydrology Water Resources
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