Remote sensing of diffuse attenuation coefficient of photosynthetically active radiation in Lake Taihu using MERIS data
Remote sensing of diffuse attenuation coefficient of photosynthetically active radiation in Lake Taihu using MERIS data
复制标题
利用MERIS数据遥感太湖光合有效辐射漫衰减系数
DOI:
10.1016/j.rse.2013.09.013
复制
发表时间:
2014-01-01
影响因子:
13.5
通讯作者:
Qin, Boqiang
中科院分区:
文献类型:
--
作者:
Shi, Kun;Zhang, Yunlin;Qin, Boqiang
Especially for a shallow and extremely turbid lake, light availability in the water column can determine the euphotic zone, and the horizontal and vertical distribution of algae species. Light attenuation is traditionally quantified as the diffuse attenuation coefficient of the photosynthetically available radiation (K-d(PAR)). Global coverage of K-d(PAR) at high spatial and temporal resolution can be provided by satellite measurements, and these data can be used to improve our understanding of the physical, chemical and biological processes in Lake Taihu, a large shallow lake in China, of considerable importance as a source of drinking water for several large cities.The primary dominated contributor to K-d(PAR) was determined firstly using linear regression. There was a significant positive correlation between K-d(PAR) and concentrations of total suspended matter (TSM). The determination coefficient between K-d(PAR) and TSM (R-2 = 0.91) was significantly higher than that between K-d(PAR) and chlorophyll-a concentrations (Chl-a) (R-2 = 0.11), and between K-d(PAR) and absorption of chromophoric dissolved organic matter (CDOM) (R-2 = 0.01). Our results therefore could demonstrate that TSM usually plays a dominant role in the attenuation of light in Lake Taihu.A retrieval model of K-d(PAR) values for Lake Taihu was subsequently developed using top-of-atmosphere (TOA) radiance of Medium Resolution Imaging Spectrometer (MERIS) image data at band 10, which was strongly correlated with in situ K-d(PAR) (R-2 = 0.74, p < 0.005, N = 48). In contrast, the atmospheric corrected reflectance of MERIS image data was not strongly correlated with in situ K-d(PAR). Thus, atmospheric correction was not a prerequisite for estimations of K(PAR) in this highly turbid and hyper-eutrophic lake, and a simple empirical model of the K-d(PAR) estimation for Lake Taihu was effective.With the simple model, the seasonal and spatial distributions of K-d(PAR) in Lake Taihu were studied using the MERIS measurements from 2003 to 2010. Our results show distinct seasonal, spatial, and wind driven, K-d(PAR) values in Lake Taihu. The highest and the lowest K-d(PAR) values were found in summer and in winter, respectively. The increase of K-d(PAR) in summer can be attributed to the phytoplankton blooms, and wind-driven sediment resuspension. Spatially, the K-d(PAR) values were high in the southern part and the lake center, and low K-d(PAR) in East Lake Taihu. Based on the MERIS derived K-d(PAR) values, a significant correlation was found between K(PAR) and wind speeds, suggesting a critical role of wind speeds in the K-d(PAR) variations in Lake Taihu. (C) 2013 Elsevier Inc. All rights reserved.