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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/39547

Title: Application of Fuzzy Classification to the Structure of the Water Mass Distribution in the Eastern Waters of Taiwan
Authors: Sha-Yen Cheng;Nian-In Wu;Don-Chung Liu;Yu-Kai Chen;Cheng-Hsin Liao
Contributors: 國立臺灣海洋大學:環境生物與漁業科學學系
Keywords: Kuroshio Current;chl a;Nutrition;Water mass;Upwelling;Fuzzy classification
Date: 2012
Issue Date: 2016-12-19T01:34:57Z
Publisher: J. Fish. Soc. Taiwan
Abstract: ABSTRACT:Four seasonal sampling cruises, covering a grid of 22 sampling stations, were carried out to
collect physical and chemical oceanographic data in the eastern waters east of Taiwan in 2008. The
aim of this study was to document the spatial and seasonal variabilities of water masses, as defined
by temperature-salinity (T-S), nutrients, and chlorophyll (Chl a) using fuzzy classification. In order to
determine relationships among T-S water mass types, nitrate and phosphate (NP) water mass types, and
Chl a water mass types, this study used fuzzy classification methods and applied a cross-classification
analysis. Hydrographic data were classified into three different water mass types in various seasons in a
T-S diagram. The same results from a cluster analysis of each water mass type defined Kuroshio Current,
mixed, and upwelling water types, which had different characteristics in the various season. Results of
the fuzzy classification of the vertical transect hydrographic data of T-S, nutrients, and Chl a indicated that
there were high correlations among T-S, nutrients, and Chl a. When a typhoon struck, the correlation was
significantly higher. The typhoon caused a cold vortex to well up bringing with it abundant nutrients in the
waters east of Taiwan, which caused the phytoplankton to increase.
Relation: 39(3), pp.173-185
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/39547
Appears in Collections:[環境生物與漁業科學學系] 期刊論文

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