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    Accelerator based ion beam analysis techniques contribute to a better understanding of long range fine particle pollution in Asia
    (International Atomic Energy Agency, 2012-09-15) Cohen, DD; Stelcer, E; Crawford, J; Bac, VT
    Fine-particle pollution in large populated Asian cities can be very high compared with internationally accepted health goals. Much of this fine-particle pollution is produced by motor vehicles, fossil-fuel combustion, industrial processes and even windblown soils from desert regions. As part of a long term project in the Asian region with support from the IAEA, ANSTO has been using nuclear techniques not only to characterize fine-particle pollution, but also to quantify their sources and origins within Vietnam. © International Atomic Energy Agency
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    ANSTO technology
    (Australian Nuclear Science and Technology Organisation, 1990-03) Australian Nuclear Science and Technology Organisation
    ANSTO technology is published four times per annum, in March, June, September and December.
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    Bragg peaks > for neutron users
    (Australian Nuclear Science and Technology Organisation, 2007-01) Australian Nuclear Science and Technology Organisation
    Bragg peaks is published four times per annum, in January, April, July and October.
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    Bragg peaks > for neutron users
    (Australian Nuclear Science and Technology Organisation, 2007-07) Australian Nuclear Science and Technology Organisation
    Bragg peaks is published four times per annum, in January, April, July and October.
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    Bragg peaks > for neutron users
    (Australian Nuclear Science and Technology Organisation, 2007-10) Australian Nuclear Science and Technology Organisation
    Bragg peaks is published four times per annum, in January, April, July and October.
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    Bragg peaks > for neutron users
    (Australian Nuclear Science and Technology Organisation, 2008-04) Australian Nuclear Science and Technology Organisation
    Bragg peaks is published four times per annum, in January, April, July and October.
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    Bragg peaks > for neutron users
    (Australian Nuclear Science and Technology Organisation, 2008-10) Australian Nuclear Science and Technology Organisation
    Bragg peaks is published four times per annum, in January, April, July and October.
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    Bragg peaks > for neutron users
    (Australian Nuclear Science and Technology Organisation, 2009-01) Australian Nuclear Science and Technology Organisation
    Bragg peaks is published four times per annum, in January, April, July and October.
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    Bragg peaks > for neutron users
    (Australian Nuclear Science and Technology Organisation, 2009-08) Australian Nuclear Science and Technology Organisation
    Bragg peaks is published four times per annum, in January, April, July and October.
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    Bragg peaks > for neutron users
    (Australian Nuclear Science and Technology Organisation, 2007-04) Australian Nuclear Science and Technology Organisation
    Bragg peaks is published four times per annum, in January, April, July and October.
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    Bragg peaks > for neutron users
    (Australian Nuclear Science and Technology Organisation, 2008-01) Australian Nuclear Science and Technology Organisation
    Bragg peaks is published four times per annum, in January, April, July and October.
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    Bragg peaks > for neutron users
    (Australian Nuclear Science and Technology Organisation, 2009-04) Australian Nuclear Science and Technology Organisation
    Bragg peaks is published four times per annum, in January, April, July and October.
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    Bragg peaks > for neutron users
    (Australian Nuclear Science and Technology Organisation, 2008-07) Australian Nuclear Science and Technology Organisation
    Bragg peaks is published four times per annum, in January, April, July and October.
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    Improving estimates of pollution outflow at Gosan using 222Rn
    (World Meteorological Organization, 2015-11-01) Chambers, SD; Kang, CH; Williams, AG; Crawford, J; Griffiths, AD; Kim, WH
    The best understanding of climatic, ecological and health effects from increasing Southeast Asian emissions will likely be achieved by models coupled to detailed emission inventories and remote sensing data. To improve model accuracy and forecast horizons, careful evaluation against appropriate observations is essential. To minimize the chance of misleading comparisons, it is important to ensure ground-based reference observations are well matched with the model output, especially regarding fetch regions and scales of observation. To quantify upstream emissions based on ground-based observations it is necessary to: (i) understand the measurement “footprint”, (ii) identify observations most representative of air that has been in good contact with the surface over which it has travelled, and has not been significantly diluted by fronts or deep convection in transit, (iii) ensure observations are representative of the whole boundary layer (BL), (iv) minimize the influence of local emissions, (v) characterize changes in mixing depth, and (vi) characterize evolving “background” concentrations.