Sökning: "Chong-Yu Xu"

Visar resultat 1 - 5 av 6 avhandlingar innehållade orden Chong-Yu Xu.

  1. 1. 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; []
    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

  2. 2. Disinformative and Uncertain Data in Global Hydrology Challenges for Modelling and Regionalisation

    Detta är en avhandling från Uppsala : Acta Universitatis Upsaliensis

    Författare :Anna Kauffeldt; Sven Halldin; Allan Rodhe; Chong-Yu Xu; András Bárdossy; [2014]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Data uncertainty; Discharge; Disinformative data; Evaporation; Flow-duration curve; Global hydrology; Neural networks; Numerical weather prediction; Precipitation; Quality control; Regionalisation; Ungauged basins; Water balance; Avdunstning; avrinningsområden utan vattenföringsdata; dataosäkerhet; desinformativa data; global hydrologi; kvalitetskontroll; nederbörd; neurala nät; numerisk vädermodell; regionalisering; varaktighetskurva; vattenbalans; vattenföring; Hydrology; Hydrologi;

    Sammanfattning : Water is essential for human well-being and healthy ecosystems, but population growth and changes in climate and land-use are putting increased stress on water resources in many regions. To ensure water security, knowledge about the spatiotemporal distribution of these resources is of great importance. LÄS MER

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

    Detta är en avhandling från Uppsala : Acta Universitatis Upsaliensis

    Författare :José Eduardo Reynolds Puga; Sven Halldin; Chong-Yu Xu; Jan Seibert; Thomas J. Grabs; Vazken Andréassian; []
    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

  4. 4. Modelling water resources despite data limitations in Tanzania’s Kilombero Valley

    Detta är en avhandling från Stockholm : Department of Physical Geography, Stockholm University

    Författare :William Senkondo; Steve W. Lyon; Chong-Yu Xu; [2020]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Hydrological modelling; Recession analysis; Remote sensing; Water resources; Evapotranspiration; Transmissivity; SWAT model; Kilombero Valley; naturgeografi; Physical Geography;

    Sammanfattning : Water is a vital resource for survival on the Earth. Sustainable management of water resources is therefore required for the wellbeing of present and future generations. A cornerstone of water resources management is scientific guidance supported by relevant data (in terms of quantity and quality). LÄS MER

  5. 5. Observational Uncertainties in Water-Resources Modelling in Central America Methods for Uncertainty Estimation and Model Evaluation

    Detta är en avhandling från Uppsala : Acta Universitatis Upsaliensis

    Författare :Ida Westerberg; Sven Halldin; Jan Seibert; Lars-Christer Lundin; Chong-Yu Xu; Deliang Chen; Alberto Montanari; [2011]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Central America; Discharge; Flow-duration curve; Fuzzy regression; GLUE; Model evaluation; Non-stationarity; Observational uncertainty; Precipitation; Quality control; Rating curve; Regionalisation; Uncertainty estimation; Ungauged basins; Water resources; Avbördningskurva; Centralamerika; GLUE; icke-stationaritet; kvalitetskontroll; modellutvärdering; nederbörd; observationsosäkerheter; avrinningsområden utan vattenfö-ringsdata; oskarp regression; osäkerhetsuppskattning; regionalisering; varaktighetskurva; vattenföring; vattenresurser; NATURAL SCIENCES Earth sciences Atmosphere and hydrosphere sciences Hydrology; NATURVETENSKAP Geovetenskap Atmosfärs- och hydrosfärsvetenskap Hydrologi; Hydrology; Hydrologi;

    Sammanfattning : Knowledge about spatial and temporal variability of hydrological processes is central for sustainable water-resources management, and such knowledge is created from observational data. Hydrologic models are necessary for prediction for time periods and areas lacking data, but are affected by observational uncertainties. LÄS MER