- 學位論文
利用多重衛星遙測觀測懸浮微粒引起的海洋生地化反應
Aerosol-Induced Biogeochemical Response in the Northwest Pacific Ocean by Multiple Remote Sensing
摘要
本研究以探討亞洲沙塵與浮游植物的生長作為出發點，並利用多種先進衛星遙測資料觀測大氣懸浮微粒在西北太平洋的生地化反應。研究方法分為兩部分，第一部分是2003年~2005年1~6月的藻華個案分析，一共發現7個可以歸類為只受到大氣氣膠影響而引起藻類生長的個案，在這7個當中有4個在HNLC（High-Nutrient, Low-Chlorophyll），大致上位置都在30N~50N，170W~140W之間，這裡的葉綠素平均值為0.5 mg / m3以內，而藻華發生時增加的葉綠素濃度最高可達到3 mg / m3，另外有3個在LNLC（Low-Nutrient, Low-Chlorophyll），葉綠素平均值為0.1 mg / m3以內，位置都在關島（13N, 144E）附近，而藻華出現時增加的葉綠素最高可達2 mg / m3，這些藻華事件在發生前，可以觀測到有高值氣膠光學厚度的出現，從環境值小於0.2最大增加到0.8以上，氣膠光學厚度最高增加了4倍以上，且大多數藻華維持的時間長短與高值氣膠光學厚度經過的時間長短有關，此7個個案維持的時間最短有1星期，最長有1個月左右。 第二部分是2000~2004年的統計分析，分為單變數相關分析以及多變數迴歸分析，在相關分析中的結果顯示氣膠光學厚度與葉綠素濃度的相關性雖然很好，但可能是其他機制的間接影響。因為氣膠光學厚度與葉綠素的高相關區域（R > 0.6）以及海面溫度與葉綠素的高相關區域（R < - 0.8）重疊在一起，因此最後透過多變數迴歸分析計算每個變數影響葉綠素濃度的變化程度，發現在西北太平洋的藻類生長有10％是來自於大氣氣膠的貢獻，海面溫度影響約0~40％，風速約0~20％，因此透過多種衛星資料應用在個案以及統計的結果得知，大氣的懸浮微粒所夾帶的營養鹽對於這塊海域的藻類生長存在一定程度的影響力。
並列摘要
The starting point of this study was to investigate the relationship between Asian dust and growth of phytoplankton. In this study we use advanced multiple satellite remote sensing data to observe aerosol-induced biogeochemical response in the northwest Pacific Ocean. The research method was divided into two parts. The first part is the algal bloom case study on January to June in 2003~2005. We found 7 cases were only influenced by aerosol, which 4 cases were found in HNLC (High-Nutrients, Low-Chlorophyll) region. Approximately, the position of HNLC cases was in 300N~500N，1700W~1400W. The background chlorophyll-a mean value is under 0.5 mg / m3 in HNLC, but it increased to 3 mg / m3 when algal bloom occurred. Other 3 cases were found in LNLC (Low-Nutrients, Low-Chlorophyll) region and their position were nearby Guam (130N, 1440E). The general chlorophyll-a mean value is under 0.1 mg / m3 in LNLC, but it reached to 2 mg / m3 when bloom occurred. Before bloom, we observed Coarse-AOD (Aerosol Optical Depth) arose which from environment value 0.2 could elevated above 0.8 that increased 4-folds. The shortest continuous time of algal bloom is one week and the longest time is above one month; moreover, it may also associate with high-value Coarse-AOD observing days. The second part is statistical study in 2000~2004 which divided into single correlation and multiple regression analysis. In correlation analysis, although the results show that AOD and chlorophyll-a have a good correlation, it may was an indirect-influenced result by other mechanism. Because the highest correlation coefficient region (R > 0.6) of AOD and chlorophyll-a overlaps the one (R < -0.8) of Sea Surface Temperature (SST) with chlorophyll-a. Finally, we used multiple regression to estimate chlorophyll-a variation which was influenced by other variables. We found 10% growth of phytoplankton was come from AOD, and SST is 0~40%、wind speed is 0~20% in northwest Pacific Ocean. Thus, the results of applying multiple satellite data in case study and statistical analysis show that nutrients were carried by aerosol which has a significant influence on phytoplankton.
並列關鍵字
phytoplankton ； aerosol ； biogeochemical response ； algal bloom ； HNLC ； LNLC ； AOD ； chlorophyll-a ； single correlation ； multiple regression analysis ； nutrient參考文獻
延伸閱讀
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- 謝宜桓（2017）。A Study on the Influences of Low-Frequency Vorticity on Tropical Cyclone Formation in the Western North Pacific〔博士論文，國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU201704485
- 曾心瑩（2004）。Characterization of Trace Element Composition in Marine Aerosols over the Southern East China Sea〔碩士論文，國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU.2004.01091