Search for dissertations about: "escorrentia"

Found 3 swedish dissertations containing the word escorrentia.

  1. 1. Information Needs for Water Resource and Risk Management Hydro-Meteorological Data Value and Non-Traditional Information

    University dissertation from Uppsala : Acta Universitatis Upsaliensis

    Author : Marc Girons Lopez; Uppsala universitet.; [2016]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; water management; data resolution; non-traditional data; floods; modelling; social memory; precipitation; runoff; social media; interpolation; data value; gestió de l’aigua; resolució de les dades; dades no tradicionals; inundacions; modelització; memòria social; precipitació; escorrentia; xarxes socials; interpolació; valor de les dades; avrinning; befolkningars minne; dataupplösning; datavärde; interpolering; mjuk information; modellering; nederbörd; sociala medier; vattenförvaltning; översvämning; gestión del agua; resolución de los datos; datos no tradicionales; inundaciones; modelización; memoria social; precipitación; escorrentía; redes sociales; interpolación; valor de los datos; Hydrology; Hydrologi;

    Abstract : Data availability is extremely important for water management. Without data it would not be possible to know how much water is available or how often extreme events are likely to occur. The usually available hydro-meteorological data often have a limited representativeness and are affected by errors and uncertainties. READ MORE

  2. 2. Flood Prediction in data-scarce basins Maximising the value of limited hydro-meteorological data

    University dissertation from Uppsala : Acta Universitatis Upsaliensis

    Author : José Eduardo Reynolds Puga; Uppsala universitet.; [2019]
    Keywords : 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.;

    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

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

    University dissertation from Uppsala : Acta Universitatis Upsaliensis

    Author : Diana Fuentes-Andino; Uppsala universitet.; [2017]
    Keywords : 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;

    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