A comparative study on predicting algae blooms in Douro River, Portugal

• Type: Article in International Scientific Journal
• Date: 2008

Authors

Rita Ribeiro (Author) Other; Luis Torgo (Author) FEP

Journal

Title: Ecological Modelling

Vol. 212 No. 1-2

Pages: 86-91

ISSN: 0304-3800

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 19 Citations

Scopus - 20 Citations

Scientific classification

FOS: Natural sciences > Biological sciences

Other information

Authenticus ID: P-004-0TV

DOI: 10.1016/j.ecolmodel.2007.10.018

Abstract (EN): Algae blooms are ecological events associated with extremely high abundance value of certain algae. These rare events have a strong impact in the river's ecosystem. In this context, the prediction of such events is of special importance. This paper addresses the problems that result from evaluating and comparing models at the prediction of rare extreme values using standard evaluation statistics. In this context, we describe a new evaluation statistic that we have proposed in Torgo and Ribeiro [Torgo, L., Ribeiro, R., 2006. Predicting rare extreme values. In: Ng, W, Kitsuregawa, M., Li, J., Chang, K. (Eds.), Proceedings of the loth Pacific-Asia Conference on Knowledge Discover and Data Mining (PAKDD'2006). Springer, pp. 816-820 (number 3918 in LNAI)], which can be used to identify the best models for predicting algae blooms. We apply this new statistic in a comparative study involving several models for predicting the abundance of different groups of phytoplankton in water samples collected in Douro River, Porto, Portugal. Results show that the proposed statistic identifies a variant of a Support Vector Machine as outperforming the other models that were tried in the prediction of algae blooms.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6