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題 名 | Classification of Water Masses and Sound-Scattering Layer Biomass in the Waters off Northeastern Taiwan Using a Fuzzy Clustering Method=臺灣東北部海域聲波散亂層生物量及水團分布之模糊劃分 |
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作 者 | 廖正信; 李國添; 李明安; 呂學榮; | 書刊名 | Proceedings of the National Science Council : Part B, Life Science |
卷 期 | 23:1 1999.01[民88.01] |
頁 次 | 頁7-18 |
分類號 | 361.526 |
關鍵詞 | 海域; 聲波散亂層; 生物量; 水團; 模糊聚類分析; Fuzzy clustering analysis; Sound-scattering layer; Volume backscattering strength; Water mass; Cold eddy; |
語 文 | 英文(English) |
中文摘要 | 臺灣東北部海域位於東海陸棚之邊緣區,向來是臺灣週邊海域重要的漁場之一, 其海洋生物及環境極為特殊且複雜,而以傳統生物採樣及溫鹽圖解法來考察生物量及水團之 分布特性,不但費事失時,而且片斷不連續,甚至產生偏差或遺漏;本研究從聲光遙測資料 中,擷取隱含生物量大小指標之 Sv 值(散亂反射強度),配合現場水文觀測資料,以模糊 聚類分析法來考察本海域海洋環境與生物量之分布特性;模糊聚類分析的結果顯示,本海域 之表層海洋水分布,可劃分成四種( A,B,C 及 D )不同性質之水團及生物量,其中在高 溫(高於 26.54 ℃)、低鹽(小於 33.942psu )、低密度(小於 22.062kg/m �纂^及低葉 綠素 a 螢光值(小於 0.183mg/m �纂^之 A 型水團(陸棚混合水)中生物量之分布最高( Sv 值大於 -59.37dB ), 而在低溫(低於 23.41 ℃)、高鹽(大於 34.272psu )、高密 度(大於 23.245kg/m �纂^及高葉綠素 a 螢光值(大於 0.251mg/m �纂^之 D 型水團(黑 潮湧昇水)中生物量之分布最低( Sv 值小於 -65.24dB ),而介於 A 及 D 型水團間的 B 及 C 型水團,其生物量則分別介於 -62.20 ∼ -59.37dB 及 -65.24 ∼ -62.20dB;綜上可 知,以模糊聚類分析法來劃分水團及生物量是可行的方法,且其生物量與水團之分布具有密 切之關係,再者本研究顯示,以聲波遙測配合模糊聚類分析法,來評估構成聲波散亂層主體 之海域總體生物量及分布特性不但便捷可行,而且亦可能隱含海洋結構變化之信息。 |
英文摘要 | One of the most productive neritic fishing grounds near Taiwan lies to the northeast of the island on the southeastern margin of the East China Sea continental shelf. In this region, however, the relationships between biomass distribution and oceanographic conditions are complex and thus difficult to evaluate using traditional sampling methods. The present study, therefore, applied a fuzzy clustering method to hydroacoustic survey data Sv, volume backscattering strength indices of biomass) and CTD (conductivity, temperature and depth) observation data. Four types (A, B, C and D) of water masses were suggested by results of fuzzy clustering analysis. In type A water mass (continental mixed water), which had high temperature (> 26.54 0C) and low salinity (< 33.942 psu), density (< 22.062 kg/m3) and chlorophyll a fluorescence (< 0.183 mg/m3), the biomass indices were higher than -59.37dB. In type D water mass (upwelling of the Kuroshio subsurface water), which had low temperature (< 23.41 °C) and high salinity (> 34.272 psu), density (> 23.245 kg/m3) and chlorophyll a fluorescence (> 0.251 mg/m3), the biomass indices were less than -65.24 dB, which was about 4 times lower than the biomass value for the type in A water mass. The biomass indices in water mass types B and C were -62.20 ~ -59.37 dB and -65.24 ~ -62.20 dB, respectively. We onclude that fuzzy clustering is a useful method for classifying the water masses in the waters off northeastern Taiwan, and that each type of water mass is associated with a particular range of values of the biomass (Sv) index. Accordingly, application of the hydroacoustic technique and fuzzy clustering analysis to obtain the information about the biomass distribution and water mass types is potentially feasible. |
本系統中英文摘要資訊取自各篇刊載內容。