• DocumentCode
    2333816
  • Title

    Comparison of two electrode arrays for liner leakage location at landfills

  • Author

    Guan, S.P. ; Wang, Y.W. ; Nai, C.X. ; Dong, L.

  • Author_Institution
    Sch. of Mech. Electron. & Inf. Eng., China Univ. of Min. & Technol., Beijing, China
  • fYear
    2009
  • fDate
    25-27 May 2009
  • Firstpage
    1087
  • Lastpage
    1089
  • Abstract
    High voltage direct current electrical method is very effective in landfill leakage detection and location by measuring the potential distribution patterns in the material under the liner. Different effects of two kinds of detecting electrode laying modes, namely, the honeycomb and the grid, on leak location are compared in a little simulative single-liner landfill. Two algorithms are respectively applied to the two kinds of detecting electrode laying modes to calculate leak location. The location errors are compared. The results show that: (1) when the electrode spacing is 1 meter, the leak location error of the honeycomb is 53 percent of the grid´s, but the electrode number has an increase of 13 percent, (2) the first algorithm brings small location error and little fluctuation, (3) when the electrode spacing is 1 meter and the return current is 100mA, the location error of the honeycomb would be less than 15 cm.
  • Keywords
    electrodes; leak detection; pollution measurement; electrode array; electrode laying; high voltage direct current electrical method; landfill leakage detection; liner leakage location; Current measurement; Electric variables measurement; Electrodes; Fluctuations; Lead; Leak detection; Mechanical variables measurement; Soil; Solids; Voltage; electrode arrays; error; landfill; leak location;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-2799-4
  • Electronic_ISBN
    978-1-4244-2800-7
  • Type

    conf

  • DOI
    10.1109/ICIEA.2009.5138368
  • Filename
    5138368