Search for dissertations about: "Fuzzy regression analysis in hydrology"

Found 2 swedish dissertations containing the words Fuzzy regression analysis in hydrology.

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

    Author : Ida Westerberg; Sven Halldin; Jan Seibert; Lars-Christer Lundin; Chong-Yu Xu; Deliang Chen; Alberto Montanari; Uppsala universitet; []
    Keywords : 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; Hydrology; Hydrologi; Hydrology; Hydrologi;

    Abstract : 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. READ MORE

  4. 2. Statistical Downscaling of Precipitation from Large-scale Atmospheric Circulation : Comparison of Methods and Climate Regions

    Author : Fredrik Wetterhall; Sven Halldin; Chong-Yu Xu; Lars-Christer Lundin; Deliang Chen; Hans von Storch; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Hydrology; Statistical; Downscaling; Precipitation; Large-scale circulation; PCA; TWS; Weather pattern; Regression; Weather generator; Hydrologi; Hydrology; Hydrologi;

    Abstract : A global climate change may have large impacts on water resources on regional and global scales. General circulation models (GCMs) are the most used tools to evaluate climate-change scenarios on a global scale. They are, however, insufficiently describing the effects at the local scale. READ MORE