• DocumentCode
    147681
  • Title

    Uncertainty and information fusion for integrated urban watershed flood risk assessment

  • Author

    Shanzhen Yi ; Yangfan Xiao ; Yumeng Huang

  • Author_Institution
    Coll. of Hydropower & Inf. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2014
  • fDate
    25-27 June 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    With the environmental change and social development, the flood risk of urban watershed is a major issue in many countries. Integrated flood risk assessment will help aid decision making. However, integrated assessment is a complex problem which involves multiple factors and uncertainties. This paper has discussed the uncertainties and data fusion of multiple factors for integrated urban watershed flood risk assessment. First, the information fusion framework for integrated flood risk assessment and aggregation operator has been given. Then, uncertain categories are discussed, including aleatory uncertainty and epistemic uncertainty. The uncertainty handling methods are summarized. Finally, based on mixed aleatroy-epistemic uncertainty methods, a prototype of aggregation operator data fusion for urban flood risk assessment has been developed.
  • Keywords
    floods; hydrological techniques; aggregation operator; data fusion; information fusion framework; integrated urban watershed flood risk assessment; mixed aleatroy-epistemic uncertainty methods; Analytical models; Measurement uncertainty; Predictive models; Uncertainty; Vectors; aleatory uncertainty; data fusion; epistemic uncertainty; integrated flood risk assessment; uncertainty model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics (GeoInformatics), 2014 22nd International Conference on
  • Conference_Location
    Kaohsiung
  • ISSN
    2161-024X
  • Type

    conf

  • DOI
    10.1109/GEOINFORMATICS.2014.6950794
  • Filename
    6950794