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  • Cu–Ag‐ZSM‐5  (1)
  • Discriminant analysis  (1)
  • Springer  (2)
  • 2015-2019
  • 1995-1999  (2)
  • 1980-1984
  • 1935-1939
Collection
Publisher
  • Springer  (2)
Years
  • 2015-2019
  • 1995-1999  (2)
  • 1980-1984
  • 1935-1939
Year
  • 1
    ISSN: 1572-879X
    Keywords: SCR NOχ ; selective reduction ; Cu‐ZSM‐5 ; Cu–Ag‐ZSM‐5 ; thermal stability ; water tolerance ; cocation effect ; catalyst deactivation
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology
    Notes: Abstract The effect of silver on the activity and hydrothermal stability of Cu‐ZSM‐5 for NOχ reduction with C3H8 under oxidizing and wet conditions has been investigated. The addition of silver as a cocation to Cu‐ZSM‐5 catalysts decreases the reversible inhibition by water occurring under catalytic conditions when the temperature does not exceed 773 K. Furthermore, it suppresses the irreversible deactivation observed when the reaction is performed up to 873 K. In effect, the Cu–Ag‐ZSM‐5 solids are more resistant to the dealumination induced by the acids formed by reactions between NO, O2 and H2O than the Cu‐ZSM‐5 ones. The presence of silver provides also an higher hydrothermal stability under an (air + 10 vol% H2O) mixture if the temperature does not exceed 973 K. The catalytic activity and the deactivation behaviour are dependent on the concentration of silver and copper and more especially on the preparation procedure.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Plant ecology 34 (1997), S. 155-165 
    ISSN: 1573-5052
    Keywords: Classification ; Discriminant analysis ; Family composition ; Indicator families ; Phytogeography ; Principal components analysis
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary The distributions of 54 plant families in 105 samples were studied to determine their indicator value in the vegetation of the Pacific Northwest. Families may be characteristic of particular environments or geographic conditions or they may distinguish between sets of samples. Principal components analysis, numerical classification, and stepwise discriminant analysis were used in this study. Principal components analysis identifies a family if it is common or dominant and has a distribution concentrated at one extreme of an axis of variation. Families with consistent patterns of distribution are useful in distinguishing between groups of samples previously created by numerical classification methods. Twenty-three families that contain environmental, successional, or geographical information were identified according to one or more methods.
    Type of Medium: Electronic Resource
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