跳到主要內容

臺灣博碩士論文加值系統

(3.239.4.127) 您好!臺灣時間:2022/08/20 08:16
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

: 
twitterline
研究生:張敦程
研究生(外文):Dun-Cheng Chang
論文名稱:模糊聚類演算法應用於高雄海域污染範圍之判定
論文名稱(外文):Apply Fuzzy Cluster Method for Identifying the Spatial Distribution of Pollutants around Kaohsiung Coastal Water
指導教授:張揚祺張揚祺引用關係
指導教授(外文):Yang-Chi Chang
學位類別:碩士
校院名稱:國立中山大學
系所名稱:海洋環境及工程學系研究所
學門:工程學門
學類:環境工程學類
論文種類:學術論文
論文出版年:2002
畢業學年度:90
語文別:中文
論文頁數:117
中文關鍵詞:海洋沈積物因素分析群集分析法FANNY模糊聚類法
外文關鍵詞:Fuzzy Clustering MethodCluster AnalysisMarine Environmental Monitoring
相關次數:
  • 被引用被引用:29
  • 點閱點閱:499
  • 評分評分:
  • 下載下載:124
  • 收藏至我的研究室書目清單書目收藏:1
中 文 摘 要
近岸海域承受來自陸域的污染,為了有效評估污染源衝擊,海洋環境監測的重點,逐漸由水體中污染物的檢測,改進為海洋沈積物的監測,並藉由統計方法分析污染物種分佈的相關特性。在高雄港區海域污染範圍分類的問題上,以目前較常用的群集分析法(Cluster K-Means Analysis),較難得到令人滿意的分析結果,因此本研究嘗試利用模糊聚類方法(Fuzzy Clustering Method)來佐以詮釋。由於高雄港海域沈積物監測資料的空間分佈,會受到污染物特性、潮汐、顆粒再懸浮作用、氣象條件、擾動…等影響,更適合利用模糊理論來解釋其不確定性,本研究先以K-Means Cluster法,找出空間分佈,並應用因素分析(Factor Analysis)及FANNY(Fuzzy Analysis)演算法,產生適合該海域污染分佈的聚類特性,以期找出詮釋性較高的衝擊範圍分類畫定規則。
模糊聚類方法(Fuzzy Clustering Method)近年來已經被大量的應用在電腦視覺(Computer Vision) 和圖形識別(Pattern Recognition)上,並獲致良好的成果,最新應用於環境或自然資源相關的研究領域,包括在地質模型分析、環境污染整治、及地下水品質管理等,相較於目前的研究領域,海洋環境問題更是具有高度的複雜性與不確定性,因此若能善用先進的分析技術,應能有效提昇海洋環境管理之成效。
Abstract
The near shore water intake pollutants from the land area and is heavily polluted. In order to assess such impact efficiently, the focus of marine environmental monitoring is shifting from inspecting pollutants in a water body to the measurement of pollutants adhered to sediments on seabed. The statistical methods are then used to analyze survey data for the purpose of interpretation. As for the problem of identifying the spatial distributions of classified pollutants over the water around Kaohsiung harbor, the result from the commonly used K-Means Cluster Analysis is not very satisfactory. It is therefore that the proposed research is trying to use the Fuzzy Cluster Method (FCM) to achieve better results. Through adaptive searching approach, the FCM should be able to generate the appropriate cluster centers for discerning the pollutants’ spatial distribution, which in turn would convey more meaning to support feasible interpretation. The FCM model developed by this research will also help to trace the most suspicious or new pollutant source with the assistance from the domain expertise if an unusual pollutant were found in the study area. The benefit is therefore obvious that the authority in charge of marine environment can respond efficiently and correctly against such pollution event and take appropriate actions. FCM has been heavily applied to the research on computer vision and pattern recognition with great success. Recently quite amounts of literatures in the environmental and natural resource management study, including geo-statistical modeling, pollution mitigation, and groundwater quality management, have probed into the applications of cluster analysis using FCM. The problems of marine environment are highly complex and full of uncertainty in nature. Nevertheless by introducing advanced analysis techniques, such as FCM, for tackling such problems, the overall managerial efficiency of marine environment will be improved.
目錄
中文摘要...................................................I
英文摘要...................................................II
誌謝
圖目錄.....................................................V
表目錄.....................................................VI
第一章 緒論...............................................1
1.1 研究動機與目標..................................1
1.2 研究內容........................................3
1.3 預期困難與研究方法..............................4
第二章 文獻回顧...........................................6
2.1 海域環境污染....................................6
2.2 近岸沈積物在海洋環境的重要性....................7
2.3 環境污染分類相關文獻............................8
2.4 模糊分類相關文獻................................11
第三章 多變量集群分析與模糊理論............................14
3.1因素分析 (Factor analysis).......................14
3.1.1主成份法(Principal Component Method).....15
3.1.2 因素轉軸................................17
3.2 群集分析法......................................18
3.2.1 層級分析法..............................19
3.2.2 非層級分析法 K-Means....................21
3.2.3 二階段集群分析法 .....................23
3.3 模糊基本槪念....................................24
3.3.1 模糊集合與歸屬函數......................25
3.3.2 模糊運算................................28
3.4 模糊聚類法......................................31
3.4.1 模糊聚類分析............................31
3.4.2 Fuzzy C-Means...........................32
3.4.3 FANNY (Fuzzy Analysis).................35
第四章 海域污染範圍分佈特性之分析..........................43
4.1 高雄海域污染來源...............................43
4.2 海域監測資料的前置處理.........................44
4.2.1 Missing Value與離群值(Outlier)...............44
4.2.1 資料特性檢定.................................47
4.3 多變量群集分析結果.............................49
4.3.1 Hierarchical處理......................49
4.3.2非層級群集法處理結果...................51
4.3.3指標命名...............................53
4.3.4各指標的空間特性.......................58
4.4 模糊聚類分析結果...............................64
4.4.1以模糊聚類法分析.......................64
第五章 結論與建議..........................................74
5.1結論.............................................74
5.2建議.............................................76
參考文獻..................................................78
附錄......................................................81
參考文獻:Arnold Kaufman, Madan M. Gupta, Introduction to Fuzzy Arithmetic Theory and Applications, New York, 1984.Cannon, R. L., Dave, J. V. and J.C. Bezdek, Efficient implementation of the fuzzy c-means clustering algorithms. IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. PAMI-8, No. 2,pp. 248-255,1986.Chon-Lin Lee, Huei-Jing Song, Meng-Der Fang, Concentrations of chlorobenzences, hexachlorobutadiene and heavy metals in surficial sediments of Kaohsiung coast, Taiwan, Chemosphere, Vol. 41, No. 6, pp. 889-899, 2000. Christopher D. Simpson, Andrew A. Mosi, William R. Cullen, Kenneth J. Reimer, Composition and distribution of polycyclic aromatic hydrocarbon in surficial marine sediments from Kitimat Harbor, Canada, The Science of the Total Environment, No. 181, pp. 265-278. 1995.Dallas E. Johnson, Applied Multivariate Methods for Data Analysis, Duexbury, USA,1998.Daniel Z. Sui, “A Fuzzy GIS Modeling Approach For Urban Land Evaluation”,Comput, Environ. And Urban Systems, Vol. 16, pp. 101-115, 1992.Frank Hopper, Frank Klawonn, Rudolf Kruse, Thomas Runkler, Fuzzy ClusterAnalysis, John Wiley & Sons Ltd,1999. H.-J. Zimmermann, Fuzzy Set Theory and Its Applications, Kluewer, Dordrecht, 1991.J.C. Bezdek, Pattern Recognition with Fuzzy Objective, Function Algorithms, Plenum, New York, 1981.J.C. Bezdek et. al., Fuzzy clustering in a new approach for geostatistical analysis, Int. J. Syst. Meas. Decision, Vol. 1, pp. 13-23, 1981.Klamer, J. C. ; W. J. M. Hegeman & F. Smedes Comparison of Grain Size Correction Procedures from Organic Micropollutants and Heavy Metals in Marine Sediments. Hydrobiologia, Vol. 208, pp. 213-220, 1990.Kristoffer Naes and Eivind Oug, Multivarite Approach to Distribution Patterns and Fate of Polycyclic Aromatic Hydrocarbons in Sediments from Smelter- Affected Norwegian Fjords and Coastal Waters, ENVIRONMENTAL SCIENCE & TECHNOLOGY, vol. 31, No.5, 1997.Leonard Kaufman, Peter J. Rousseeuw, Finding Groups In Data-An Introduction to Cluster Analysis, John Wiley & Sons Ltd, 1990.Li-Xin Wang, A Course in Fuzzy systems and Control, Prentice Hall PTR, 1997.Richard A. Johnson, Dean W. Wichern, Applied Multivariate Statistical Analysis, Prentic Hall, New Jersey, 1992.Vladimir M. Savinov, Tatiana N. Savinova, Jolynn Carroll, Gennady G. Matishov, Salve Dahle and Kristoffer Naes, Polycyclic Aromatic Hydrocarbons(PAHs) in Sediments of the White Sea, Russia, Marine Pollution Bulletin, Vol. 40, No. 10, pp.807-818, 2000.方孟德,台灣西南海域沈積物中重金屬及氯苯類化合物含量分佈之研究,中山大學海洋環境及工程研究所碩士論文,1996。井上洋、天笠美知夫,模糊理論,陳耀茂 (譯),初版,五南圖書,台北,2000。王文俊,認識Fuzzy,第二版,全華科技圖書,台北,2001。向殿政男,Fuzzy理論入門,劉天祥、佟中仁 (譯),初版,中國生產力中心,台北,1997。李志賢、溫清光,模糊聚類法在台灣海水浴場水質分類的應用,第二屆高雄區統計研討會論文集,pp 331-345,1993。李安貴、張志宏、段英鳳,模糊數學及其應用,治金工業出版社(大陸),1994。宋慧菁,高雄海域沈積物中氯苯類化合物含量分佈與污染特性之研究,中山大學海洋環境及工程研究所碩士論文,1995。沈明來,實用多變數分析,初版,九州圖書,台北,1998。吳萬鐸、吳萬釗,模糊數學與計算機應用,初版,儒林圖書,台北,1993。林雅慧,模糊統計分類及其在茶葉品質評定的應用,政治大學統計學研究所碩士論文,1995。林志聰,模糊集群分析之研究---以台灣地區上市、上櫃商銀企銀之經營績效為例,成功大學統計學研究所碩士論文,1997。施保旭,地理資訊系統,二版,儒林圖書,台北,1997。張尊國,運用模糊集理論評價土壤污染,國科會計劃報告,國立台灣大學農業工程學研究所,1995。張紹勳、張紹評、林秀娟,SPSS For Windows多變量統計分析,二版,松崗電腦圖書,台北,2000。馬國鼎,模糊集理論應用於箱網養殖場址評選之研究,中山大學海洋環境及工程研究所碩士論文,2000。高櫻芬,高屏溪河口與近岸海域沉積物中石油衍生性有機化合物及重金屬含量分析研究,中山大學海洋環境及工程研究所碩士論文,2001。區奕勤、張先迪,模糊數學原理及應用,初版,儒林圖書,台北,1991。郭張成,模糊集合理論在台灣股價趨勢分析的應用,交通大學資訊管理研究所碩士論文,1993。陳順宇,多變量分析,初版,華泰總經銷,台北,1998。郭芳,藍色的寶庫-21世紀的海洋開發,水產出版社,1999。黃俊英,多變量分析,第五版,中國經濟企業研究所,台北,1995。黃國亮,模糊理論應用於集群分析之探討,成功大學統計學研究所碩士論文,1995。葉世良,模糊分類系統之設計,淡江大學電機工程學系碩士論文,1999。黃麗蒨,台灣地下水品質管理,中央大學統計研究所碩士論文,2000。楊傑勝、蔣榮先,模糊加權聚類演算法,國立成功大學資訊工程系,2001年中華民國第九屆模糊理論及其應用會議,2001。劉大緯、王小璠,模糊資料之聚類分析,模糊系統學刊,第四卷,第二期,第41-50頁,1998。譚嘉慧,模糊分類適切性分析,中原大學數學研究所碩士論文,1999。
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top