Seasonal–spatial variation and remote sensing of phytoplankton absorption in Lake Taihu, a large eutrophic and shallow lake in China
Seasonal–spatial variation and remote sensing of phytoplankton absorption in Lake Taihu, a large eutrophic and shallow lake in China
复制标题
DOI：
10.1093/plankt/fbq039
复制
发表时间：
2010-07
影响因子：
2.1
通讯作者：
Yunlin Zhang;Longqing Feng;Junsheng Li;L. Luo;Yan Yin;Mingliang Liu;Yunliang Li
中科院分区：
文献类型：
--
作者：
Yunlin Zhang;Longqing Feng;Junsheng Li;L. Luo;Yan Yin;Mingliang Liu;Yunliang Li
太湖沃茨具有水深浅、沉积物再悬浮强、河流输入复杂、蓝藻水华频繁等特点。在这样的浅水富营养化湖泊中，藻蓝蛋白（PC）的遥感，蓝藻的特征色素，是依赖于浮游植物吸收的估计精度。以太湖为研究对象，利用2006 - 2007年1月（冬季）、4月（春季）、7月（夏季）和10月（秋季）5个航次的生物光学特性的时空分布数据，对太湖浮游植物吸收的时空变化进行了监测，并对3波段模型进行了校准和验证，以估算浮游植物吸收（aph（665））。当时存在两种截然不同的情况;在冬季，浮游植物对颗粒物的贡献最大，而在春、夏、秋三季，浮游植物对颗粒物的贡献最大。在冬季，气象主要决定了水柱的生物光学特性，而在春、夏、秋季，生物活动是另外一个活跃因素。对aph（665）的三波段遥感模型1 <$2R 1 rs 673 R 1 rs 698 Rrs 731 Rrs：遥感反射率）进行了标定和验证，并与已发表的波段比方法进行了性能比较和评估。基于独立验证数据集，三波段模型的均方根误差和平均相对误差分别为0.150 m（占平均值的50.5%）和45.7%;采用已发表的波段比方法，分别为0.290 m（占平均值的97.3%）和213.0%。此外，三波段模型和波段比模型在估算太湖浮游植物吸收方面表现出了较好的效果。结果表明，三波段模型上级已发表的波段比值法，可用于提高PC的遥感估算精度。
Shallow water, strong sediment resuspension, complex river inputs and frequent cyanobacterial blooms characterize the waters of Lake Taihu. In such shallow, eutrophic lakes, the remote sensing of phycocyanin (PC), a characteristic pigment of cyanobacteria, is dependent on the estimation precision of phytoplankton absorption. For Lake Taihu, we monitored the seasonal–spatial variation of phytoplankton absorption, and a three-band model was calibrated and validated to estimate phytoplankton absorption (aph(665)) from a dataset of the spatial and temporal patterns of the bio-optical properties collected, during five cruises in January (winter), April (spring), July (summer), and October (autumn) in 2006 to 2007. Two distinct situations prevailed; in winter tripton strongly predominated over particulate matter, and in spring-summer-autumn phytoplankton made an important contribution. In winter, meteorology mainly determined the bio-optical properties of the water column, whereas in the spring-summer-autumn the biological activity was an additional active factor. The three-band remote sensing model 1⁄2R 1 rs ð673Þ R 1 rs ð698Þ Rrsð731ÞðRrs: remote sensing reflectance) of aph(665) was calibrated and validated, and its performance was compared and assessed with the published band-ratio method. With the three-band model, the root mean square error and mean relative error were 0.150 m (50.5% accounting for the mean value) and 45.7% respectively; with the published band-ratio method, the values were 0.290 m (97.3% accounting for the mean value) and 213.0% respectively, based on an independent validation dataset. Furthermore, the three-band and band-ratio models worked well in estimating phytoplankton absorption with simulated MERIS bands data with higher precision for the three-band model in Lake Taihu. The result showed that the three-band model was superior to the published band-ratio method, and thus the former can be used to improve the estimation precision of remote sensing of PC.