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Lake Topography and Wind Waves Determining Seasonal-Spatial Dynamics of Total Suspended Matter in Turbid Lake Taihu China: Assessment Using Long-Term High-Resolution MERIS Data

机译:确定太湖混浊总悬浮物的季节性空间动态的湖泊地形和风波:使用长期高分辨率MERIS数据的评估

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摘要

Multiple comprehensive in situ bio-optical investigations were conducted from 2005 to 2010 and covered a large variability of total suspended matter (TSM) in Lake Taihu to calibrate and validate a TSM concentration estimation model based on Medium Resolution Imaging Spectrometer (MERIS) data. The estimation model of the TSM concentration in Lake Taihu was developed using top-of-atmosphere (TOA) radiance of MERIS image data at band 9 in combination with a regional empirical atmospheric correction model, which was strongly correlated with the in situ TSM concentration (r 2 = 0.720, p<0.001, and n = 73). The relative root mean square error (RRMSE) and mean relative error (MRE) were 36.9% and 31.6%, respectively, based on an independent validation dataset that produced reliable estimations of the TSM concentration. The developed algorithm was applied to 50 MERIS images from 2003 to 2011 to obtain a high spatial and temporal heterogeneity of TSM concentrations in Lake Taihu. Seasonally, the highest and lowest TSM concentrations were found in spring and autumn, respectively. Spatially, TSM concentrations were high in the southern part and center of the lake and low in Xukou Bay, East Lake Taihu. The lake topography, including the water depth and distance from the shore, had a significant effect on the TSM spatial distribution. A significant correlation was found between the daily average wind speed and TSM concentration (r 2 = 0.685, p<0.001, and n = 50), suggesting a critical role of wind speed in the TSM variations in Lake Taihu. In addition, a low TSM concentration was linked to the appearance of submerged aquatic vegetation (SAV). Therefore, TSM dynamics were controlled by the lake topography, wind-driven sediment resuspension and SAV distribution.
机译:从2005年到2010年,进行了多次全面的原位生物光学研究,涵盖了太湖总悬浮物(TSM)的巨大差异,以基于中分辨率成像光谱仪(MERIS)数据校准和验证TSM浓度估算模型。结合太湖9区的MERIS影像数据的大气顶(TOA)辐射率和区域经验性大气校正模型,开发了太湖TSM浓度估算模型,该模型与原位TSM浓度密切相关( r 2 = 0.720,p <0.001,n = 73)。基于独立的验证数据集,该数据可得出TSM浓度的可靠估计值,相对均方根误差(RRMSE)和平均相对误差(MRE)分别为36.9%和31.6%。将该算法应用于2003年至2011年的50幅MERIS图像中,获得了太湖TSM浓度的高时空异质性。在季节性上,分别在春季和秋季发现最高和最低的TSM浓度。在空间上,TSM浓度在湖的南部和中部较高,而在太湖东湖徐口湾则较低。湖泊的地形,包括水深和距海岸的距离,对TSM的空间分布产生了重大影响。发现日平均风速与TSM浓度之间存在显着相关性(r 2 = 0.685,p <0.001,n = 50),表明风速在莱克湖TSM变化中起关键作用太湖此外,低TSM浓度与淹没水生植物(SAV)的外观有关。因此,TSM动力学受湖泊地形,风沙沉积物悬浮和SAV分布控制。

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