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  • 1
    Electronic Resource
    Electronic Resource
    Normality of Hydrological Data (1982)
    Oxford, UK : Blackwell Publishing Ltd
    Journal of the American Water Resources Association 18 (1982), S. 0 
    Details
    ISSN: 1752-1688
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Architecture, Civil Engineering, Surveying , Geography
    Notes: : Assessment of normality of hydrological data has been based upon subjective judgments. This paper aims to provide an objective method for such an assessment by introducing three computationally simple statistical tests. Application to some stream flow data indicates that (1) for annual values, at least one of the three sequences- original, square root, and logarithmic - can be considered to be normally distributed; and (2) most monthly stream flows are skew and neither the square root nor the logarithmic transformation is able to render their sequences in all the 12 months normal.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/j.1752-1688.1982.tb04525.x
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    Some aspects of atmospheric static stability parameter of the atmosphere over Africa during the different major seasons (1981)
    Springer
    Meteorology and atmospheric physics 30 (1981), S. 197-209 
    Details
    ISSN: 1436-5065
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geography , Physics
    Description / Table of Contents: Zusammenfassung Es werden klimatologische Beurteilungen der Werte des Stabilitätsparameters für verschiedene Druckschichten über Afrika in den Monaten Januar, April, Juli und Oktober vorgelegt. Diese Werte zeigen sehr kleine Änderungen in isobaren Schichten. In der Vertikalen ändern sich die Stabilitätswerte sehr rasch, so daß die Werte für die 850–700 mb-Schicht in allen vier Monaten ungefähr um drei Größenordnungen kleiner sind als die für die 50 mb-Schicht.
    Notes: Summary Climatological estimates for the values of static stability parameter are presented for the different pressure layers in the African atmosphere during the months of January, April, July and October. These values show very small variations on isobaric layers. In the vertical, the static stability values change rather rapidly so that the values for the 850–700 mb layer are, in all the four months, about three orders of magnitude less than those for the 50-30 mb layer.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF02257843
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    Paper (German National Licenses)
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  • 3
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    Regional variation of recession flow power-law exponent (2018)
    Wiley-Blackwell
    Details
    Publication Date: 2018-02-08
    Description: Recession flows of a basin provide valuable information about its storage-discharge relationship as during recession periods discharge occurs due to depletion of storage. Storage-discharge analysis is generally performed by plotting − dQ / dt against Q , where Q is discharge at time t . For most real world catchments, − dQ / dt vs Q show a power-law relationship of the type: − dQ / dt  =  kQ α . Because the coefficient k varies across recession events significantly, the exponent α needs to be computed separately for individual recession events. The median α can then be considered as the representative α for the basin. The question that arises here is: what are the basin characteristics that influence the value of  α ? Studies based on a small number of basins (up to 50 basins) reveal that α has good relationship with several basin characteristics. However, whether such a relationship is universal remains an important question, since a universal relationship would allow prediction of the value of α for any ungauged basin. To test this hypothesis, here we study data collected from a relatively large number of basins (358 basins) in USA, and examine the influence of 35 different physio-climatic characteristics on α . We divide the basins into two groups based on their longitudes and test the relationship between α and basin characteristics separately for the two groups. The results indicate that α is not identically influenced by different basin characteristics for the two datasets. This may suggest that the power-law exponent α of a region is determined by the way local physio-climatic forces have shaped the landscape.
    Print ISSN: 0885-6087
    Electronic ISSN: 1099-1085
    Topics: Architecture, Civil Engineering, Surveying , Geography
    Published by Wiley-Blackwell
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