農業部-水產試驗所全球資訊網農業部-水產試驗所全球資訊網

本研究利用澎湖海域已建立的5組海洋WSN水質測站資料及改良設計微型WSN定位測溫浮球系統，並利用當地氣象資料，以資料探勘技術交叉探討澎湖海域海氣象參數時空間變動之關係與發展預警模式，進行漁業寒害預警、珊瑚白化監測、箱網養殖產業渡冬避寒選址等分析，可提供決策支援及減少產業損失。本(103)年計畫執行成果如下：
1.針對5處WSN水質監測站，共進行15次測站維護工作，確保數據的品質為可接受範圍，全年共蒐集超過70,000筆以上水質資料。本年度進行二崁、澎南浮標整修，以延長浮標壽命。另東吉與目斗嶼測站，通訊大致良好。而海墘嶼測站則受到麥德姆颱風影響纜線斷掉，以自記方式持續蒐集資料，減少資料的遺失。
2.為增加珊瑚白化監測代表性，澎湖目斗與東吉嶼測站兩處生物觀測樣區的測線由原來1條增加為3條，每季進行1次記錄。並以CPCe4.1分析兩處測站珊瑚覆蓋率變動情形和溫度資料對比分析，監測珊瑚棲地白化情形。同時將預警模式與WSN水質監測系統結合，在水質監測系統中增加珊瑚白化預警功能，每周日定期發布高溫持續周度(DHWs)與寒潮持續周度(DCWs)訊息。
3.利用平均風速與氣溫做為變因，以RapidMiner探勘軟體，整合澎湖海域水質監測系統東吉測站與氣象局東吉測站資料，採用複迴歸進行預測模式的探勘分析，初步發現對較長時間海水溫度變動的趨勢可以提供良好的預測效果。
4.改進微型WSN定位測溫浮球系統，完成擴充為3水層(0m、5m、10m)水溫感測功能、替代部份價高零組件以降低成本、加強防水性等改良工作。

This study tries to develop an early warning system for fishery chilling disaster and coral bleaching in Penghu waters. Data mining technology was mainly applied to explore the relationship between marine and atmosphere conditions and will provide the real-time web-site information for decision making to reduce the loss of cage-cultural fishery in winter time. Results of this year include:
1. Maintained 5 WSN water-quality monitoring stations for 15 times to calibrate and validate accuracy of various sensors. Over 70000 multi-parameter water-quality data were real-time transmitted and stored this year.
2. Three increasing transect lines at each coral reef monitoring site was investigation every season. In order to watch community variation and bleaching, coral reef photos were took to analyze the coverage rate by software CPCe4.1. ‘Penghu WSN Water Quality Monitoring System’ Web also add DHWs and DCWs information every Sunday for early coral reef warning function.
3. We used the multiple regressions method of data mining to build a forecast model for water temperature by using average wind velocity and air temperature data. This model seemed to present more consistency for long-term trend.
4. Designed and tested several new prototypes of the small WSN floating ball by improving there electronic hardware and mechanism for multi-layer (surface, 5m and 10m depths) water temperature observation and cost-down purposes.