Sökning: "Flux-gradient"

Hittade 3 avhandlingar innehållade ordet Flux-gradient.

  1. 1. Effects of forest management on greenhouse gas fluxes in a boreal forest

    Författare :Patrik Vestin; Institutionen för naturgeografi och ekosystemvetenskap; []
    Nyckelord :Forest management; Greenhouse gas fluxes; Clear-cutting; Thinning; Stump harvesting; Selective cutting; Eddy-covariance; Flux-gradient; Greenhouse gas budgets; CO2; CH4; N2O;

    Sammanfattning : Forest ecosystems cover 31% of the terrestrial land area and store large amounts of carbon in biomass and in soils. The 2015 Paris Agreement recognizes the importance of sinks and reservoirs of greenhouse gases (GHGs) in forests and the importance of enhancing them through sustainable forest management policies. LÄS MER

  3. 2. Investigation of a Methodology for the Detection of Diversions in Spent Nuclear Fuel

    Författare :Moad al-Dbissi; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; flux gradient detector; artificial neural networks; partial defects; neutron scintillator; spent nuclear fuel; nuclear safeguards; machine learning;

    Sammanfattning : One of the main tasks in nuclear safeguards is the inspection of Spent Nuclear Fuel (SNF) to detect possible diversions of their special nuclear material content, e.g., U-235 and Pu-239. These inspections verify the declared SNF via passive measurements of characteristic signatures such as the emissions of neutrons and gamma rays. LÄS MER

  4. 3. Developments toward a novel methodology for spent nuclear fuel verification

    Författare :Moad al-Dbissi; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; nuclear safeguards; partial defect; neutron scintillator; flux gradient detector; machine learning; spent nuclear fuel; artificial neural networks;

    Sammanfattning : One of the tasks in nuclear safeguards is to regularly inspect spent nuclear fuel discharged from nuclear power reactors and verify the integrity of it, so that illegal removal and diversion of radioactive material can be promptly discovered. In the current project, which is a collaboration between Chalmers University of Technology and SCK CEN, a novel methodology for non-intrusive inspection of spent nuclear fuel is under development. LÄS MER