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运用多元统计方法识别来自邻近河流的大鹏湾污染情况。

Identification of pollution of Tapeng Lagoon from neighbouring rivers using multivariate statistical method.

作者信息

Liao Shao-Wei, Gau Hwa-Sheng, Lai Wen-Liang, Chen Jen-Jeng, Lee Chang-Gai

机构信息

Department of Environmental Resources Management, Tajen University, Pingtong, Taiwan 10907, Republic of China.

出版信息

J Environ Manage. 2008 Jul;88(2):286-92. doi: 10.1016/j.jenvman.2007.02.010. Epub 2007 May 4.

DOI:10.1016/j.jenvman.2007.02.010
PMID:17482340
Abstract

This work investigated water samples collected from Tapeng Lagoon and three neighbouring rivers (the Kaoping River, Tungkang River and Lingbeng River) in Taiwan, Republic of China. Canonical discriminant analysis was applied to identify the source of pollution in neighbouring rivers outside Tapeng Lagoon. The two constructed discriminant functions showed a marked contribution to all discriminant variables, and the total nitrogen, algae, dissolved oxygen and total phosphate were combined as the nutrient effect factor. The recognition capacities of the two discriminant functions were 95.6% and 4.4%, respectively. The water quality in the Kaoping River most strongly controlled the water quality in Tapeng Lagoon. Disassembling the oyster frames and fishery boxes had improved the water quality markedly. The methodology and results provide useful information concerning watershed management and may be applicable to other basins with similar properties that are experiencing similar coastal environmental issues.

摘要

本研究调查了取自中国台湾大鹏湾及其附近三条河流(高屏溪、东港溪和林边溪)的水样。运用典范判别分析来确定大鹏湾外邻近河流的污染源。构建的两个判别函数对所有判别变量均有显著贡献,总氮、藻类、溶解氧和总磷被合并为营养效应因子。两个判别函数的识别能力分别为95.6%和4.4%。高屏溪的水质对大鹏湾水质的控制作用最为显著。拆除牡蛎架和渔业箱显著改善了水质。该方法和结果为流域管理提供了有用信息,可能适用于其他具有相似特征且面临类似海岸环境问题的流域。

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