【摘要】 苕溪河是太湖主要的来水之一,在其流域发生强降雨之后河口会产生大面积羽流,这些羽流在湖泊水质变化中起着至关重要的作用,而针对该现象采用高时间分辨率的凝视卫星对其进行监测具有显著的研究价值。利用三波段算法构建了基于地球静止海洋彩色成像仪数据(GOCI)的太湖叶绿素a浓度反演模型,进而通过8景GOCI影像,对2011年8月底流域强降水事件后湖区水质受羽流影响的情况进行了分析研究。结果表明,入湖羽流对太湖叶绿素a(Chla)浓度的时空分布以及太湖南部水华区域的迁移扩散具有显著的影响作用,湖区Chla平均浓度在短时间内从24.30μg/L上升至38.14μg/L,太湖南部水华面积也逐渐下降,而湖心区有水华发生。由此可见,采用时间分辨率达到小时级别的GOCI数据连续监测内陆水环境可以刻画出更加详细的湖区水环境演变趋势,这对于研究湖泊水环境变化具有重要意义。更多还原

【Abstract】 A plume occurs when rivers carry large amounts of material into oceans or lakes, and they have observable impacts on water quality. The Tiaoxi River is the main source of water for Lake Taihu and has experienced plumes after heavy precipitation events. These plumes have played a crucial role in the decrease in water quality within the lake. The use of high temporal resolution satellites to monitor this phenomenon has significant research value. Geostationary Ocean Color Imager data(GOCI), with a high temporal resolution, were used to study the chlorophyll a concentrations in Lake Taihu via three band model in this study. Through 8 scenes of GOCI images, after analyzing the plume after the heavy precipitation event in the end of August 2011, it was found that the plume had a significant influence on the concentration of chlorophyll-a(Chla) and the spatial distributions of cyanobacteria blooms. The average concentration of Chla in lake increased from 24.30 μg/L to 38.14 μg/L in a short period of time, and the bloom area in the southern Lake Taihu gradually decreased, while blooms occurred in the center of the lake. The results of this study demonstrate that the visualization of GOCI data makes it possible to use remote sensing technology to continuously monitor an inland water environment on an hourly scale, which is of great significance for studying the diffusions and evolutions of river plumes.更多还原