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Normality of Hydrological Data 1
Author(s) -
Phien Huynh Ngoc,
Sunchindah Apichai,
Patnaik Debabrata
Publication year - 1982
Publication title -
jawra journal of the american water resources association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.957
H-Index - 105
eISSN - 1752-1688
pISSN - 1093-474X
DOI - 10.1111/j.1752-1688.1982.tb04525.x
Subject(s) - normality , skew , logarithm , square root , transformation (genetics) , mathematics , statistics , square (algebra) , normal distribution , hydrology (agriculture) , computer science , geology , mathematical analysis , geometry , geotechnical engineering , telecommunications , biochemistry , chemistry , gene
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.