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題 名 | 灰關聯應用於河川水質污染指標特性分析=Application of Grey Relational in Characteristics Analysis of Water Pollution Indices for Rivers |
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作 者 | 蔡忠賢; 羅政忠; 吳漢雄; | 書刊名 | 復興學報 |
卷 期 | 1999.12[民88.12] |
頁 次 | 頁1-6 |
分類號 | 445.213 |
關鍵詞 | 灰關聯度; 水質污染指標; Grey relation; Water pollution indices; |
語 文 | 中文(Chinese) |
中文摘要 | 本文應用灰關聯分析方法,研究宜蘭縣主次要河川的水質污染程度, 由水質分析 找出各河川間的灰關聯度,灰關聯度是表示數據間的關聯程度,灰關聯度的數值大小並非主 要關鍵,而是各河川的灰關聯度的前後排列次序才是最重要訊息。本文研究 1997 年四月至 1998 年三月間, 宜蘭縣主次要河川水質污染影響度,每月在各河川上、中游各採樣點採水 樣作水質分析,測定 DO(溶氧量)、NH��-N (氨氮)、BOD (生化需氧量)、S.S (懸浮 固體)等四項水質污染指標,然後求各河川每季各項檢測數據的平均值作為灰關聯分析的原 始數據,進而研究各河川水質污染的灰關聯度,綜合結果灰關聯度排序蘭陽溪>南澳溪>宜 蘭河>蘇澳溪>得子口溪>新城溪>冬山河。灰關聯度愈大表示較其它河川污染較少,灰關 聯度愈小表示較其它河川污染嚴重。這些訊息可提供作為河川污染防治優先順序的參考依據 。 |
英文摘要 | This paper aims to study the water-polluted degree of primary and secondary rivers or streams in I-lan by using the method of Grey-related analysis. We finally find out the Grey-related degree among rivers by water analyzing. Grey-related degree shows the relation ship between data. It is not the key point whether the Grey-related value is greater or less, but the sequence of Grey-related degree of each river is the most important message. This paper also studies the influence of water pollution of the primary and secondary rivers in I-lan from April 1997 to March 1998. Each month. Analyzing the water quality through sampling water on every sampling spot from the up and middle rivers. Measuring the four items of water-polluted index-DO, NH��-N,BOD,S.S and getting the average of each measuring data would be served as the Grey-related original data. Further more, by studying the Grey-related degree of water pollution in each river, we find the result of Grey-related sequence. This is, Lan-Yung Hsi> Nan-au Hsi> I-lan Ho> Su-au Hsi> Do-tsz-ko Hsi> Hsing-chung Hsi> Tong-sun Ho. The greater the Grey-related degree shows, the less polluting than other rivers it becomes, and vice verse. These messages can provide as the reference base for the priority of stopping rivers from polluting. |
本系統中英文摘要資訊取自各篇刊載內容。