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水庫水質模式建立-以南化水庫為例

摘要


一般對於水庫水質之優劣均採用『優養化』程度來評估,本文係應用統計方法-SPSS軟體來推估優養化因子與形成程度之關係模式,藉以探討其優養潛在形成模式。 本研究先使用南化水庫自歐用前開始進行的水質評估資料及正式敵用後水質的監測紀錄(即81~94年間)之有關卡爾森優養指數(Carlson trophic state index, CTSI)及其相關形成因子;如:透明度、總磷、葉綠素a、溶氧、導電度、總氮、pH、濁度等,推估優養化之形成模式。 經由逐步分析結果依序被選入模式之項目分別為總磷、葉綠素a及透明度。故經由模式推估結果總磷是第一個進入模型為貢獻度最大的變數(請參閱表六)。且研究結果顯示被選入模式的三個變數恰為卡爾森優養指數的計算變數,顯然多數研究者及南化水庫所用以評估優養化的之變數是合理的。

關鍵字

優養化 卡爾森優養指數 透明度 總磷 葉綠素a 溶氧 導電度 總氮 pH 濁度 SPSS

並列摘要


In general, the quality of the reservoir water is judged by a degree of Eutrophication. This research aims to formulate the progress of the Eutrophication and predict the tendency of the Eutrophication by estimating the Eutrophication parameters with SPSS (Statistical Package for the Social Science). Data with Nanhua Reservoir on water quality (1992-2005) were analyzed in this study. Carson Trophic State Index (CTSI) and related parameters, such as Transparency, Total Phosphorus, Chlorophyll a, Dissolved Oxygen, Conductivity, Total Nitrogen, pH and Turbidity, were selected to estimate the Eutrophication formation model. Results of the study clearly showed that the three parameters chosen for the modeling were those used by the Carlson multi-variable method. The results are consistent with previous studies on the Nanhua Reservoir that these parameters are important in explaining and predicting the Eutrophication.

被引用紀錄


謝政宏(2014)。濁度與葉綠素含量於人工生態池之時空分布研究〔碩士論文,國立屏東科技大學〕。華藝線上圖書館。https://doi.org/10.6346/NPUST.2014.00255

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