• DocumentCode
    424236
  • Title

    Multi-source monitoring data fusion and assessment model on water environment

  • Author

    Lin, Zri-Gui ; Xu, Li-Zhong ; Huang, Feng-Chen ; Jin-Ling Zhou

  • Author_Institution
    Coll. of Comput. & Inf. Eng., Hohai Univ., China
  • Volume
    4
  • fYear
    2004
  • fDate
    26-29 Aug. 2004
  • Firstpage
    2505
  • Abstract
    For complexity of water environment and multi-source of water quality monitoring data, data fusion is introduced to water quality assessment in the paper. As viewed from data fusion, based on evidence theory, four water indices data are fused, and a new water quality assessment model is proposed. By experiment, the model is compared with that based on BP network and single factor method respectively. Its intention is to analyze advantages and disadvantages of evidence theory in the process of water quality monitoring data fusion, and to demonstrate feasibility and availability of data fusion technique applied to multi-source water environment monitoring data assessment models.
  • Keywords
    backpropagation; computerised monitoring; environmental management; environmental science computing; inference mechanisms; sensor fusion; water resources; BP network; evidence theory; multisource monitoring data fusion; multisource water environment monitoring data assessment model; single factor method; water quality monitoring data; Availability; Chemicals; Computerized monitoring; Educational institutions; Electronic mail; Fault diagnosis; Quality assessment; Sensor phenomena and characterization; Statistics; Water resources;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
  • Print_ISBN
    0-7803-8403-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2004.1382225
  • Filename
    1382225