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Climatological criteria for estimation of runoff by linear regression
Author(s) -
Schwarzmaier Gertrud,
Mayer Helmut,
Beyer Ulrich
Publication year - 1992
Publication title -
international journal of climatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.58
H-Index - 166
eISSN - 1097-0088
pISSN - 0899-8418
DOI - 10.1002/joc.3370120109
Subject(s) - surface runoff , environmental science , context (archaeology) , linear regression , regression analysis , climatology , regression , land cover , hydrology (agriculture) , statistics , geography , mathematics , land use , geology , ecology , archaeology , geotechnical engineering , biology
Abstract Monthly runoff data of the southeast of North America were analysed by a linear regression model. The model is to be validated for the prognosis of runoff and the description of runoff and its influencing meteorological and geoecological variables. The area studied was a region in the southeast of North America chosen on the basis of the climatological criteria of the Köppen‐Geiger climate classification. A further differentiation was also made between the four seasons and the two predominant types of land cover. Every single examination of the individual influencing variables revealed reasonable results according to the physical context between runoff and its influencing variables. The comparison between measured runoff values and estimated runoff values also showed an excellent coincidence in 35 out of 39 cases examined.