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Improved Data Uncertainty Handling in Hydrologic Modeling and Forecasting Applications
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In hydrologic modeling and forecasting applications, many steps are needed. The steps that are relevant to this thesis include watershed discretization, model c
Advances In Data-based Approaches For Hydrologic Modeling And Forecasting
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Authors: Bellie Sivakumar
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This book comprehensively accounts the advances in data-based approaches for hydrologic modeling and forecasting. Eight major and most popular approaches are se
Applications of Machine Learning in Hydroclimatology
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Applications of Machine Learning in Hydroclimatology is a comprehensive exploration of the transformative potential of machine learning for addressing critical
Improving Flood Prediction Assimilating Uncertain Crowdsourced Data into Hydrologic and Hydraulic Models
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In recent years, the continued technological advances have led to the spread of low-cost sensors and devices supporting crowdsourcing as a way to obtain observa
Modelling Uncertainty in Flood Forecasting Systems
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Like all natural hazards, flooding is a complex and inherently uncertain phenomenon. Despite advances in developing flood forecasting models and techniques, the