Sökning: "Uncertainty model"

Visar resultat 1 - 5 av 781 avhandlingar innehållade orden Uncertainty model.

  1. 1. Sensitivity and Uncertainty Analysis Methods : with Applications to a Road Traffic Emission Model

    Författare :Olle Eriksson; Stig Danielsson; Rolf Sundberg; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Emission; Grid; Model; Pollutant; Response surface; Road traffic; Sensitivity analysis; Simulation; Uncertainty analysis; Avgaser; Vägtrafik; Miljöaspekter; Statistics; Statistik;

    Sammanfattning : There is always a need to study the properties of complex input–output systems, properties that may be very difficult to determine. Two such properties are the output’s sensitivity to changes in the inputs and the output’s uncertainty if the inputs are uncertain. LÄS MER

  3. 2. Environmental System Analysis of Waste Management : Experiences from Applications of the ORWARE Model

    Författare :Anna Björklund; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; municipal solid waste MSW ; waste management; waste management planning; model; environmental systems analysis; life cycle assessment LCA ; substance flow analysis SFA ; substance flows; environmental impact; energy; uncertainty; Chemical engineering; Kemiteknik;

    Sammanfattning : Waste management has gone through a history of shiftingproblems, demands, and strategies over the years. In contrastto the long prevailing view that the problem could be solved byhiding or moving it, waste is now viewed as a problem rangingfrom local to global concern, and as being an integral part ofseveral sectors in society. LÄS MER

  4. 3. Environmental Modelling : Learning from Uncertainty

    Författare :John M. Juston; Per-Erik Jansson; Jens Christian Refsgaard; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Models; data; error; uncertainty; hydrology; soil carbon; wetlands; phosphorus;

    Sammanfattning : Environmental models are important tools; however uncertainty is pervasive in the modeling process.   Current research has shown that under­standing and representing these uncertainties is critical when decisions are expected to be made from the modeling results. LÄS MER

  5. 4. Uncertainty in Endodontics : Strategies for Understanding and Management

    Författare :Joséphine Brodén; Helena Fransson; Maria Pigg; Thomas Davidson; Sivakami Rethnam Haug; Malmö universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; endodontology; uncertainty; cost-effectiveness; dental education; vital pulp treatment;

    Sammanfattning : Dentists often experience uncertainty when deciding on the most effective treatment for a particular patient. There are various sources of uncertainty and different strategies for coping with it, such as reducing or accepting it and learning how to make decisions despite feeling uncertain. LÄS MER

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

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