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Microorganisms play a critical role in the transformation and immobilization of uranium in contaminated environments through four main pathways: bioreduction, biosorption, bioaccumulation, and biomineralization. These mechanisms reduce uranium’s toxicity and prevent its migration through groundwater systems, offering sustainable approaches for in situ bioremediation.Bioreduction of UraniumBioreduction is driven by anaerobic bacteria such as certain strains of Geobacter and Shewanella,...
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A density correction method for radioactive waste drum based on SRGS technology.

Shiwei Liao1, Wenbao Jia1, Zhongqi Wang2

  • 1Department of Nuclear Science and Technolgy, College of Material Science and Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, 211106, China; Institute of Nuclear Analytical Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, 211106, China.

Applied Radiation and Isotopes : Including Data, Instrumentation and Methods for Use in Agriculture, Industry and Medicine
|May 5, 2024
PubMed
Summary

A new dichotomy-based density correction method improves radioactive waste drum scanning accuracy. This advancement in segmented ringed gamma scanning (SRGS) reduces matrix density errors by over 83%.

Keywords:
Density correctionRadioactive wasteSegmented gamma scanningSegmented-ringed gamma scanning

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Area of Science:

  • Nuclear Engineering
  • Radiological Waste Management
  • Non-Destructive Assay

Background:

  • Segmented gamma scanning (SGS) is used for radioactive waste drum density measurement.
  • Segmented ringed gamma scanning (SRGS) offers improved accuracy but faces challenges.
  • Non-uniform density and conical beams cause significant reconstruction errors in SRGS.

Purpose of the Study:

  • To propose and validate a novel density correction method for SRGS.
  • To mitigate errors in matrix density reconstruction for radioactive waste.
  • To enhance the accuracy of radioactive waste characterization.

Main Methods:

  • A density correction method based on dichotomy was developed.
  • Simulations and experimental validation were performed.
  • Measurements utilized Cesium-137 (137Cs) and Cobalt-60 (60Co) sources.

Main Results:

  • The proposed method significantly reduced errors in corrected matrix densities to within 16.8%.
  • Corrected reconstruction error for activity was reduced to approximately 25% of uncorrected values.
  • Experimental results confirmed the method's efficacy on a multi-material sample.

Conclusions:

  • The dichotomy-based density correction method effectively addresses SRGS limitations.
  • This technique enhances the accuracy of radioactive waste density and activity measurements.
  • The improved accuracy supports safer and more efficient waste management practices.