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THE INITIAL RESULTS OF NONHIERARCHICAL CLUSTER METHODS USE FOR LOW FLOW GROUPING

 
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Department of Sanitary Engineering and Water Management, Faculty of Environmental Engineering and Land Surveying, al. Mickiewicza 24-28, 30-059 Krakow, Poland
J. Ecol. Eng. 2017; 18(2):44–50
Publish date: 2017-03-01
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ABSTRACT:
In the paper the possibility of use statistical method for data agglomeration, i.e. nonhierarchical cluster analysis for low flow grouping was made. The study material included daily flows from the multi-year period of 1963-1983 collected for 19 catchments, located in the upper Vistula basin. Regions, with the same flow, were determined with use nonhierarchical cluster analysis (K-means). Groups were characterized by low flow and selected physiographic and meteorological features of the catchments. The procedure of catchments assigning to the clusters was started from two clusters and finished at five. The next moving and assigning of catchments into clusters resulted a cluster in which there was only one catchment (for five clusters). Another objects delineation did not give an objective effects, based on which it was difficult to determine a clear criterion of assigning each catchments into the clusters. The last step involved development of the models reflecting correlation and regression relationships. The identified clusters comprised catchments similar in terms of unit runoff, watercourse length, mean precipitation, median altitude, mean catchment slope, watercourse staff gauge zero, area covered by coniferous forests, arable lands, and soils.
CORRESPONDING AUTHOR:
Agnieszka Cupak   
Department of Sanitary Engineering and Water Management, Faculty of Environmental Engineering and Land Surveying, al. Mickiewicza 24-28, 30-059 Krakow, Poland
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