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Improving Flood Prediction Assimilating Uncertain Crowdsourced Data into Hydrologic and Hydraulic Models

reliability and varying accuracy in time and space, crowdsourced observations have not been widely integrated in hydrological and/or hydraulic models;

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Improving Flood Prediction Assimilating Uncertain Crowdsourced Data into Hydrological and Hydraulic Models

On a global scale, sewage represents the main point-source of water pollution and is also the predominant source of nitrogen contamination;

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Flood Forecasting

data is used, quality control, the hydrologic and hydraulic models used, and the unique problems of each country or system, such as glacial dam;

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Framework for Dynamic Modelling of Urban Floods at Different Topographical Resolutions

surface flow modelling system that can extract and incorporate useful information available in high resolution topographic data into coarse grid;

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Framework for Dynamic Modelling of Urban Floods at Different Topographical Resolutions

surface flow modelling system that can extract and incorporate useful information available in high resolution topographic data into coarse grid;

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Refining the Committee Approach and Uncertainty Prediction in Hydrological Modelling

. Another topic addressed is the prediction of hydrologic models' uncertainty. The traditionally used Monte Carlo method is based on the past data;

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Refining the Committee Approach and Uncertainty Prediction in Hydrological Modelling

. Another topic addressed is the prediction of hydrologic models' uncertainty. The traditionally used Monte Carlo method is based on the past data;

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Operational Flood Forecasting, Warning and Response for Multi-Scale Flood Risks in Developing Cities

of data, limited resources and often complex climatic, hydrologic and hydraulic conditions. In this research, a regional method is proposed for;

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Operational Flood Forecasting, Warning and Response for Multi-Scale Flood Risks in Developing Cities

of data, limited resources and often complex climatic, hydrologic and hydraulic conditions. In this research, a regional method is proposed for;

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Radar Hydrology

contemporary approaches in data assimilation Concludes with methods, case studies, and prediction system design Includes downloadable MATLAB (R;

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Radar Hydrology

contemporary approaches in data assimilation Concludes with methods, case studies, and prediction system design Includes downloadable MATLAB (R;

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Flood Inundation Modeling and Hazard Mapping Under Uncertainty in the Sungai Johor Basin, Malaysia

and stream flow data, topographic information, building a hydraulic model and calibration of its parameters. Often however, floodplain maps;

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Toward a New Advanced Hydrologic Prediction Service (AHPS)

the Advanced Hydrologic Prediction Services (AHPS) program in 1997 to advance technology for hydrologic services, specifically to provide;

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Mapping the Zone

that meet or exceed national flood hazard data quality thresholds. Even when floodplains are mapped with high accuracy, land development and;

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Hydraulic Engineering

. The sections on hydraulic engineering mainly focus on flood prediction and control, hydropower design and construction technology, water and;

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Engineering Hydrology: An Introduction to Processes, Analysis, and Modeling

modern hydrologic methods. Every hydrologic process is clearly explained along with current techniques for modeling and analyzing data. You will;

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Handbook of Engineering Hydrology

modeling, hydrologic modeling: stochastic processes, and time series analysis of hydrologic data Dam risk and uncertainty, drought indices for;

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International Hydrology Series

provides an understanding of hydraulic modelling and floodplain dynamics, with a key focus on state-of-the-art remote sensing data, and methods to;

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International Hydrology Series

provides an understanding of hydraulic modelling and floodplain dynamics, with a key focus on state-of-the-art remote sensing data, and methods to;

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Developing VO2max Prediction Models Using Machine Learning Methods

The purpose of this work is to develop VO2max prediction models by using non-exercise, submaximal and hybrid variables by using Support;

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Crowdsourced Data Management

This book provides an overview of crowdsourced data management. Covering all aspects including the workflow, algorithms and research;

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Crowdsourced Data Management

This book provides an overview of crowdsourced data management. Covering all aspects including the workflow, algorithms and research;

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Modelling Human-Flood Interactions

actors, institutions, the urban environment, hydrologic and hydrodynamic processes and external factors, which affect FRM activities. The;

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Distributed Hydrologic Modeling Using GIS

. GIS data formats, spatial interpolation and resolution have important effects on the hydrologic simulation of the major hydrologic components;

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Predicting Storm Surges: Chaos, Computational Intelligence, Data Assimilation and Ensembles

Accurate predictions of storm surge are of importance in many coastal areas in the world to avoid and mitigate its destructive impacts. For;

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Predicting Storm Surges: Chaos, Computational Intelligence, Data Assimilation and Ensembles

Accurate predictions of storm surge are of importance in many coastal areas in the world to avoid and mitigate its destructive impacts. For;

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Geographic Information System Modules and Distributed Models of the Watershed

Recent advances in technology offer hydrologic engineers, watershed managers, and data collection agencies unprecedented capabilities for;

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