水清石見－台灣北部水庫水質監測

＂Seeing the Pebbles on the Riverbed Only through the Clear Water＂: Monitor Water Quality of the Reservoirs in Northern Taiwan

劉芊妤(Qian-Yu Liu) ； 徐安驊(An-Hua Hsu) ； 廖苡均(Yi-Jun Liau) ； 陳正儒(Cheng-Ru Chen) ； 張維凱(Wei-Kai Zhang) ； 王奕甯(Yi-Ning Wang)

《航測及遙測學刊》 26卷1期 (2021/03) Pp. 45-55

https://doi.org/10.6574/JPRS.202103_26(1).0004

摘要

水質監測是當代重要的環境課題，透過遙測進行水庫水質推估較傳統的人工測點採樣省時省力，且有迅速獲知大範圍水質資訊的優點。本研究使用福衛五號、陸域衛星八號影像與地理資訊系統，選定北台灣石門與寶山水庫，以遙測光譜和庫區水質現地資料建立迴歸模型進行水質監測。數據分析成果顯示兩個庫區水質的迴歸模型在葉綠素a、總磷、化學需氧量的水質推估判定係數皆在0.61～0.75之間。利用迴歸模型能呈現庫區水體整體水質分布，估測水質與岸區土地利用有很高的關聯性。利用遙測以迴歸模型進行水庫水質之空間推估，未來能應用於台灣其他水庫。

關鍵字

水質監測 ； 遙測 ； 福衛五號 ； 陸域衛星八號

並列摘要

Water quality monitoring is nowadays an essential environment issue. Compared to the traditional survey, using remote sensing data to estimate the water quality in the reservoir is more time-saving, efficient in a large area. This study utilized the satellite images of FormoSat-5 (FS5), Landsat 8 (L8), and geographic information system (GIS) to monitor the water quality of Shimen and the Baoshan Reservoir. The predicted regression model was built based on the spectral data of the collected satellite images and ground-referenced data of the water quality of the Shimen Reservoir and Baoshan Reservoir. The R2 of chlorophyll-a (ChIa), secchi disk depth (SDD), chemical oxygen demand (COD), and total phosphorus (TP) in Shimen and Baoshan Reservoir are between 0.61 and 0.75. The mapping results can not only present the spatial distribution of water quality in the reservoir area, but also indicate that water quality has high correlation with the land use in the reservoir coastal area. In this study, the procedure of combining remote sensing data and the regression model to estimate the spatial distribution of water quality of the reservoir can be promoted to monitor the water quality of other reservoirs in Taiwan in the future.

並列關鍵字

Water Quality Monitoring ； Remote Sensing ； FormoSat-5 ； Landsat 8