Universal Journal of Geoscience Vol. 2(4), pp. 109 - 115
DOI: 10.13189/ujg.2014.020401
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Regression Tree Analysis of Spm Entropy Groups: Case Study from the Irish Sea


Krivtsov V. 1,2,*, Mikkelsen O.A. 3
1 The University of Edinburgh, Crew building, West Mains Road, Edinburgh EH9 3JN, Scotland, UK
2 Department of Ecology, Kharkov State University, 4 Svobody Square, Kharkov 310077, USSR, Ukraine
3 MacArtney Underwater Technology, Gl. Guldagervej 48, DK-6710 Esbjerg V, CVR No. 84 16 48 28

ABSTRACT

This paper describes our studies of the suspended particulate matter (SPM) in the Liverpool Bay (UK). Monitoring data were analyzed by using entropy analysis. Entropy analysis of in situ particle size spectra revealed 5 basic types, attributable to different sets of environmental conditions. The revealed basic types of in situ particle size spectra were then subjected to the classification trees analysis in order to identify the meteorological and oceanographic variables of importance for the characterisation of the shape of SPM spectra. The results obtained are a step towards a better characterisation of the floc size, and therefore a more precise calculation of the sedimentation and transport rate, and are therefore relevant to the scientific analysis of a wider range of environmental issues.

KEYWORDS
Suspended Sediment, Irish Sea, Marine Environment, Particle Size, Entropy Analysis, LISST, Oceanography, Marine Ecosystem

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Krivtsov V. , Mikkelsen O.A. , "Regression Tree Analysis of Spm Entropy Groups: Case Study from the Irish Sea," Universal Journal of Geoscience, Vol. 2, No. 4, pp. 109 - 115, 2014. DOI: 10.13189/ujg.2014.020401.

(b). APA Format:
Krivtsov V. , Mikkelsen O.A. (2014). Regression Tree Analysis of Spm Entropy Groups: Case Study from the Irish Sea. Universal Journal of Geoscience, 2(4), 109 - 115. DOI: 10.13189/ujg.2014.020401.