碩士 / 國立海洋大學 / 漁業科學系碩士在職專班 / 91 / Abstract
In order to investigate the water quality in Keelung harbor. This study collected four constant stations of water-monitoring data in Keelung harbor from EPA of Taiwan during 1996 to 1998. These data were analyzed by the pollution index and fuzzy set theorem methods. The result shows that the Oil and grease (O.G), Dissolved oxygen (DO) and Biochemical oxygen demand (BOD) were the main pollutants in this harbor, which pollution index are always over than 1. Then the multi- pollution index indicates that the P1 station in the inport has the highest index value (1.33) than other stations, where is the serious water pollution area in this harbor. While the multi-pollution index value in P2, P3 and P4 in the outport are 0.86, 0.87 and 0.74, respectively. Based on the water-monitoring data of pH, DO, BOD, O.G and Phenols in each station during three years. The fuzzy set analysis shows that the water quality could classified for class A(good), B(common) and C(bad) types in this harbor. While the membership function grade, made by fuzzy C-mean clustering analysis, indicates that the water quality in all/12 sequences of water-monitoring at P1 station have 6 sequences belonging to C class and B class apart. Also, the membership function grades in the other sequences at P2, P3 and P4 stations were almost belonging to A class. We conclude that the major water pollutants such as Oil and grease, Dissolved oxygen and Biochemical oxygen demand were brought from the sewerage, and the waste water and oil of the vessels. Therefore, how to take precautions and raise managerial efficiency is the most important subject of Keelung port.
Identifer | oai:union.ndltd.org:TW/091NTOU1451014 |
Date | January 2003 |
Creators | 吳仲勳 |
Contributors | 廖正信 |
Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
Language | zh-TW |
Detected Language | English |
Type | 學位論文 ; thesis |
Format | 55 |
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