Search for dissertations about: "Rainfall-runoff modelling"
Showing result 1 - 5 of 10 swedish dissertations containing the words Rainfall-runoff modelling.
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1. Rainfall-Runoff Modelling Using Artificial Neural Networks (ANNs)
Abstract : Over the last decades or so, artificial neural networks (ANNs) have become one of the most promising tools for modelling hydrological processes such as rainfall-runoff processes. In most studies, ANNs have been demonstrated to show superior result compared to the traditional modelling approaches. READ MORE
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2. Flood Hazard Assessment in Data-Scarce Basins : Use of alternative data and modelling techniques
Abstract : Flooding is of great concern world-wide, causing damage to infrastructure, property and loss of life. Low-income countries, in particular, can be negatively affected by flood events due to their inherent vulnerabilities. Moreover, data to perform studies for flood risk management in low-income regions are often scarce or lacking sufficient quality. READ MORE
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3. Uncertainties in rainfall-runoff modelling of green urban drainage systems : Measurements, data selection and model structure
Abstract : Green urban drainage systems are used to avoid flooding and damages to people and property, while limiting the downstream flooding and water quality problems caused by pipe-based drainage systems. Computer models are used to analyse and predict the performance of such systems for design and operation purposes. READ MORE
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4. Advanced Remote Sensing Precipitation Input for Improved Runoff Simulation : Local to regional scale modelling
Abstract : Accurate precipitation data are crucial for hydrological modelling and rainwater runoff management. Precipitation variability exists through a wide range of spatial and temporal scales and cannot be captured well using sparse rain gauge networks. READ MORE
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5. Flood Prediction in data-scarce basins : Maximising the value of limited hydro-meteorological data
Abstract : Floods pose a threat to society that can cause large socio-economic damages and loss of life in many parts of the world. Flood-forecasting models are required to provide simulations at temporal resolutions higher than a day in basins with concentration times smaller than 24 h. READ MORE