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Understanding Multi-Peak Anomalies for Unexploded Ordnance Discrimination

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  • معلومة اضافية
    • الموضوع:
      2008
    • Collection:
      University of British Columbia: cIRcle - UBC's Information Repository
    • نبذة مختصرة :
      A workflow for the discrimination of multi-peak anomalies due to an unexploded ordnance (UXO) is presented. The effects of changes in the depth and orientation of a subsurface target on its TEM response are explored. Further, the variation of the peak separation, peak widths, maxima to minimum ratios and maxima values through time are modelled. Models of spatial and temporal variations are performed for both one and twotargets. These models are devoid of noise and focus primarily on the 3lb FLBGR bomb. It is found that the decay of the magnitudes of the anomaly maxima are related to the decay of the characteristic polarization curves of the UXO that creates them. The behaviour of the decay of the magnitudes of the maxima values of multi-peak anomalies is determined to be a good indication of target number in the subsurface. Observing these decays, it is possible to distinguish between two multi-peak scenarios, namely: a) a multipeak anomaly produced by a single UXO or two UXOs of the same type; and b) a multipeak anomaly produced by two UXOs of different types. ; Science, Faculty of ; Earth and Ocean Sciences, Department of ; Unreviewed ; Undergraduate
    • File Description:
      8760412 bytes; application/pdf
    • Relation:
      University of British Columbia. EOSC 449; Kushnir, Alexandra R.L. 2008. Understanding Multi-Peak Anomalies for Unexploded Ordnance Discrimination. Undergraduate Honours Thesis. Department of Earth and Ocean Sciences. University of British Columbia.; http://hdl.handle.net/2429/1113
    • الرقم المعرف:
      10.14288/1.0053577
    • الدخول الالكتروني :
      http://hdl.handle.net/2429/1113
      https://doi.org/10.14288/1.0053577
    • Rights:
      Attribution-NonCommercial-NoDerivatives 4.0 International ; http://creativecommons.org/licenses/by-nc-nd/4.0/ ; Kushnir, Alexandra R. L.
    • الرقم المعرف:
      edsbas.C94D8D45