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Sökning: WFRF:(van de Meent D.)

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1.
  • Barausse, Enrico, et al. (författare)
  • Prospects for fundamental physics with LISA
  • 2020
  • Ingår i: General Relativity and Gravitation. - : SPRINGER/PLENUM PUBLISHERS. - 0001-7701 .- 1572-9532. ; 52:8
  • Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
    • In this paper, which is of programmatic rather than quantitative nature, we aim to further delineate and sharpen the future potential of the LISA mission in the area of fundamental physics. Given the very broad range of topics that might be relevant to LISA,we present here a sample of what we view as particularly promising fundamental physics directions. We organize these directions through a "science-first" approach that allows us to classify how LISA data can inform theoretical physics in a variety of areas. For each of these theoretical physics classes, we identify the sources that are currently expected to provide the principal contribution to our knowledge, and the areas that need further development. The classification presented here should not be thought of as cast in stone, but rather as a fluid framework that is amenable to change with the flow of new insights in theoretical physics.
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3.
  • Hollander, A., et al. (författare)
  • Assessing the Relative Importance of Spatial Variability in Emissions Versus Landscape Properties in Fate Models for Environmental Exposure Assessment of Chemicals
  • 2012
  • Ingår i: Environmental Modelling and Assessment. - : Springer Science and Business Media LLC. - 1420-2026 .- 1573-2967. ; 17:6, s. 577-587
  • Tidskriftsartikel (refereegranskat)abstract
    • Multimedia mass balance models differ in their treatment of spatial resolution from single boxes representing an entire region to multiple interconnected boxes with varying landscape properties and emission intensities. Here, model experiments were conducted to determine the relative importance of these two main factors that cause spatial variation in environmental chemical concentrations: spatial patterns in emission intensities and spatial differences in environmental conditions. In the model, experiments emissions were always to the air compartment. It was concluded that variation in emissions is in most cases the dominant source of variation in environmental concentrations. It was found, however, that variability in environmental conditions can strongly influence predicted concentrations in some cases, if the receptor compartments of interest are soil or water-for water concentrations particularly if a chemical has a high octanol-air partition coefficient (K-oa). This information will help to determine the required level of spatial detail that suffices for a specific regulatory purpose.
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