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作 者:陈倩倩[1] 刘晓东[1] 刘文齐[2] 姜珊[1]
机构地区:[1]中国科学技术大学极地环境研究室,安徽合肥230026 [2]中国科学技术大学理化科学试验中心,安徽合肥230026
出 处:《光谱学与光谱分析》2011年第10期2688-2691,共4页Spectroscopy and Spectral Analysis
基 金:国家自然科学基金项目(40876096和41076123);中央高校基本科研业务费专项项目(WK2080000004)资助
摘 要:为探求快速、廉价、无损、同步的光谱技术在南极古湖沼研究中的可能性,本文分析了南极中山站附近采集的一根湖泊沉积柱样品的近红外反射光谱数据,通过主成分(PCA)统计分析方法,发现主成分因子载荷值与反映湖泊生产力变化的环境指标S2(有机质热解烃类化合物指标,指示湖藻类来源有机质)在深度剖面上具有一致的变化趋势,两者表现出显著的正相关关系,表明近红外光谱技术可用于快速恢复南极湖泊古生产力变化记录。对比光谱曲线650-700nm处的谷面积与S2的关系,发现光谱数据的PCA分析法较常规的谷面积法更能够作为反映湖泊初级生产力变化的有效指标。本研究结果为在偏远的南极地区开展湖泊古环境变化研究提供了一种新的快捷方法和技术途径。Compared with traditional chemical analysis methods, reflectance spectroscopy has the advantages of speed, minimal or no sample preparation, non-destruction, and low cost. In order to explore the potential application of spectroscopy technology in the paleolimnological study on Antarctic lakes, we took a lake sediment core in Mochou Lake at Zhongshan Station of Antarctic, and analyzed the near infrared reflectance spectroscopy (NIRS) data in the sedimentary samples. The results showed that the factor loadings of principal component analysis (PCA) displayed very similar depth-profile change pattern with the S2 index, a reliable proxy for the change in historical lake primary productivity. The correlation analysis showed that the values of PCA fac tor loading and S2 were correlated significantly, suggesting that it is feasible to infer paleoproductivity changes recorded in Antarctic lakes using NIRS technology. Compared to the traditional method of the trough area between 650 and 700 nm, the authors found that the PCA statistical approach was more aceurate for reconstructing the change in historical lake primary productivity. The results reported here demonstrate that reflectance spectroscopy can provide a rapid method for the reconstruction of lake palaeoenviro nmental change in the remote Antarctic regions.
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