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| 題 名 | 以類神經網路評估永和山水庫水質優養化之研究--使用SPOT衛星影像=The Study of Applying Artificial Neural Networks to Yeong-Her-Shan Reservoir Trophic State Evaluation Using Spot Image |
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| 作 者 | 陳莉; 吳俊穎; 梁訓源; | 書刊名 | 農業工程學報 |
| 卷 期 | 48:2 2002.06[民91.06] |
| 頁 次 | 頁59-70 |
| 分類號 | 443.96 |
| 關鍵詞 | 衛星遙測; 水庫; 優養化; Carlson指標; Remote sensing; Reservoir; Trophic status; Calson index; |
| 語 文 | 中文(Chinese) |
| 中文摘要 | 永和山水庫位於苗栗縣,係單一目標之離槽水庫,為供應新竹、竹南、頭份等地區之重要水源,本研究使用法國史波特(SPOT)衛星之影像,做為監測水庫水體之資料來源。 研究中組合89種影像因子並利用線性迴歸方式,建構影像因子與地面水質參數(葉綠素、總磷、透明度)之模型關係,尋求較佳之迴歸公式,其中葉綠素a與影像因子之r為0.779,據此可建立永和山水庫水質污染狀況空間分布關係,並進而以Carlson營養狀況指標(Carlson Trophic State Index,CTSI)判別水庫水體優養狀況,以為水庫管理單位及人員重要參考。 |
| 英文摘要 | Yeong-her-Shan reservoir, located in Miao-Li county, is a single-purpose off-stream reservoir. It is an important water supply source for Hsin Chu, Chu Nan, and Tou Fen areas. This research focuses on the realization of water quality of this reservoir. The data source of investigation is derived from remote sensing SPOT images. Linear regression is used to construct the relationship between water quality parameters (such as total phosphate, Chlorophyll-a and secchi disk depth) and spectral parameters. There are 89 combinations of image factors in this paper. The results show that the coefficient of correlation between chlorophyll-a and image factors equals 0.779. By means of the results, it will be able to build the relationship between water pollution and space distribution. Then, Carlson Trophic Status Index is used to estimate condition of eutrophication and will provide managers an important reference. |
本系統中英文摘要資訊取自各篇刊載內容。