環境資源報告成果查詢系統

水體光譜反射模式推估藻華發生可行性評估

中文摘要 水庫是目前我國內陸最主要儲存水資源之處,但國內飲用水之水源多仰賴水庫蓄水供應,倘若水庫發生藻華(Algae Bloom),會影響景觀與妨礙水源處理,且特定藻毒更會造成健康危害之風險。所以,需提高效率對水體進行觀測,反應水質狀況,甚至能預防優養化與藻華發生,達到維護良好水質與永續經營之目的。遙感探測(Remote Sensing)可有效解決因觀測數據而造成之局部性,且具有速度快、成本低與便於觀測之特性,應用於水體上可快速同步監測,不受時間與地點限制等優點,以及透過不同季節、不同時間的連續監測,可瞭解和掌握水體水質之變化趨勢。因此,本計畫於年度研究中,除已完成蒐集相關資料與文獻整理10篇,並搭配光譜儀(Spectrometer)進行光譜特性分析,完成收集國內20批次水體光譜反應資料外,亦透過水體光譜特徵曲線與藻類變化(包括葉綠素a濃度、藻密度與藻種組成等)之間的關聯性,完成評估水體光譜特性與水體藻類濃度變化之關聯性及推估模式,能有效地判釋出葉綠素a濃度變化之趨勢或可能發生藻華現象,甚至做為預測/預警資訊,並完成推估藻華發生之可行性評估,以利提前擬定策略作為。於未來更可結合無人飛行載具(UAV)搭載光譜儀器測定或衛星影像,可大幅度提升觀測頻率,達到近即時、大範圍與連續監測能力之預警功效。
中文關鍵字 藻華、遙感探測、光譜儀

基本資訊

專案計畫編號 EPA-106-E3S5-02-02 經費年度 106 計畫經費 1300 千元
專案開始日期 2017/03/08 專案結束日期 2017/12/31 專案主持人 王泰盛
主辦單位 環檢所 承辦人 顏榮華 執行單位 財團法人農業工程研究中心

成果下載

類型 檔名 檔案大小 說明
期末報告 EPA106E3S50202.pdf 30MB

Assessment of algae bloom occurrence prediction by spectral reflectance of water body

英文摘要 The reservoir is currently the most important inland water resource in our country. However, domestic water supply depends mostly on the reservoir waters may cause algae bloom which would affect the landscape also impede water treatments, and specific algae bloom venoms could pose health risks. So, the need to improve efficiency on waters and the reaction of water quality are crucial, and even preventing from the occurrence of optimal culture and algae bloom, to maintain good water quality and sustainable management purpose. Remote sensing can effectively solve the locality caused by the observing, with high speed, low cost and easy observation, the utility model can be applied to the water body for rapid and sync monitoring without limitation of time or place, and can be used in different seasons, Continuous monitoring can understand and grasp the changing trend of water quality. In addition to the previous research, this project has completed the collection of related information and documents of 10 articles, and with the spectrometer for spectral characteristics of analysis, finishing the collection of 20 batches of water spectral response data collected domestically, also through the spectral characteristics of water and algae changes including the relevance between (chlorophyll a concentration, algae density and algal species composition, etc.) Completing the correlation between spectral characteristics of water bodies and changes in water algae concentration and models can effectively interpret the trend of chlorophyll a concentration changes or the possible occurrence of algal blooms. As early warning information, and to complete the assessment of the feasibility of estimating the occurrence of algal blooms, in order to facilitate early formulation of strategies. Future-wise, the collaboration with Unmanned aerial vehicle (UAV) and equipped with spectrometry or satellite imagery, the observation frequency can be greatly improved to achieve advanced warning, near-instantaneous, wide range and continuous monitoring capabilities.
英文關鍵字 Algae Bloom, Remote Sensing, Spectrometer