Sökning: "Rainfall-runoff modelling"

Visar resultat 1 - 5 av 10 avhandlingar innehållade orden Rainfall-runoff modelling.

  1. 1. Rainfall-Runoff Modelling Using Artificial Neural Networks (ANNs)

    Författare :Aman Mohammad Kalteh; Avdelningen för Teknisk vattenresurslära; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Hydrogeology; geographical and geological engineering; Hydrogeologi; teknisk geologi; teknisk geografi; Self-organizing map; Feed-forward multilayer perceptron; Forecasting; Hydrological modelling; Missing values; Rainfall-runoff modelling; Estimation; Artificial neural networks;

    Sammanfattning : 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. LÄS MER

  3. 2. Flood Hazard Assessment in Data-Scarce Basins : Use of alternative data and modelling techniques

    Författare :Diana Fuentes-Andino; Sven Halldin; Chong-Yu Xu; Keith Beven; Giuliano Di Baldassarre; Wouter Buytaert; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Central America; floods; data scarcity; data quality; uncertainty analysis; regionalisation; flood frequency analysis; GLUE; hydraulic modelling; rainfall-runoff modeling; TOPMODEL; LISFLOOD-FP; GRADEX; index-flood; Muskingum-Cunge-Todini flow routing; Mellanamerika; högflöde; datakvalitet; osäkerhetsanalys; regionalisering; frekvensanalys av högflöden; GLUE; hydraulisk modellering; nederbörds-avrinningsmodeller; TOPMODEL; LISFLOOD-FP; GRADEX; indexflöde; Muskingum-Cunge-Todini flödessvarstid; Central América; inundaciones; escasez de datos; calidad de los datos; análisis de incertidumbre; regionalización; análisis de frequencia de inundación; GLUE; modelación hidraulica; modelo de lluvia-escorrentía; TOPMODEL; LISFLOOD-FP; GRADEX; índice de inundación; Muskingum-Cunge-Todini rutina de propagación de flujo;

    Sammanfattning : 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. LÄS MER

  4. 3. Uncertainties in rainfall-runoff modelling of green urban drainage systems : Measurements, data selection and model structure

    Författare :Ico Broekhuizen; Maria Viklander; Günther Leonhardt; Manfred Kleidorfer; Luleå tekniska universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; VA-teknik; Urban Water Engineering; Centre - Centre for Stormwater Management DRIZZLE ; Centrumbildning - Centrum för dagvattenhantering DRIZZLE ;

    Sammanfattning : 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. LÄS MER

  5. 4. Advanced Remote Sensing Precipitation Input for Improved Runoff Simulation : Local to regional scale modelling

    Författare :Seyyed Hasan Hosseini; Avdelningen för Teknisk vattenresurslära; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Hydrology; Precipitation; Rainfall; Satellite; Runoff; Streamflow; Rainfall-runoff modelling; X-band weather radar; GPM-IMERG; MODIS Terra;

    Sammanfattning : 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. LÄS MER

  7. 5. Flood Prediction in data-scarce basins : Maximising the value of limited hydro-meteorological data

    Författare :José Eduardo Reynolds Puga; Sven Halldin; Chong-Yu Xu; Jan Seibert; Thomas J. Grabs; Vazken Andréassian; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Floods; data scarcity; value of information; rainfall-runoff modelling; regionalisation; rainfall-forecasts; event-based calibration; climatological day; discharge day; temporal resolution; modelling time-step.; Databrist; flödestoppsbaserad kalibrering; högflöde; informationsvärde; klimatologiskt dygn; nederbörds-avrinningsmodell; modelltidssteg; regionalisering; regnprognos; tids-upplösning; vattenföringsdygn; översvämning.; Inundaciones; falta de datos; valor de información; modelos lluvia escorrentía; regionalización; pronósticos de lluvia; definición del día; resolución temporal; paso de tiempo.;

    Sammanfattning : 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. LÄS MER