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首页> 外文期刊>Continental Shelf Research: A Companion Journal to Deep-Sea Research and Progress in Oceanography >Contrasting chlorophyll-a seasonal patterns between nearshore and offshore waters in the Bohai and Yellow Seas, China: A new analysis using improved satellite data
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Contrasting chlorophyll-a seasonal patterns between nearshore and offshore waters in the Bohai and Yellow Seas, China: A new analysis using improved satellite data

机译:叶绿素 - 渤海和近海水域之间的季节性模式,中国渤海和近海水域:使用改进的卫星数据进行了新的分析

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摘要

The seasonal cycles of sea surface Chlorophyll-a (Chl-a) concentration in the Bohai and Yellow Seas (BYS) were examined using new remotely sensed Chl-a products derived using a regional algorithm. Based on objective clustering analysis, two contrasting Chl-a seasonal patterns were delineated: 1) A nearshore pattern with a long-lasting Chl-a peak from spring to autumn, coinciding with sufficient nutrient supply and high light availability, and lower Chl-a values in winter due to the light-limitation as a consequence of low solar irradiance and high diffuse attenuation coefficient of light for the water column; 2) An offshore pattern with a strong spring bloom triggered by alleviated light limitation and abundant nutrients coinciding with high water column stability. A weak autumn peak induced by new nutrient replenishment from bottom re-suspension and horizontal transportation, a low Chl-a trough in winter mainly attributed to light-limitation, and a Chl-a trough in summer due to nutrient scarcity were observed. The linkages between the province-specific Chl-a seasonal patterns and the seasonal cycles of the corresponding environmental variables as well as other potential influencing factors are comprehensively delineated and discussed.
机译:使用新的远程感测的CHL-A使用使用区域算法衍生的新的远程感测的CHL-A产品检查海面叶绿素-A(CHL-A)浓度的季节性周期。基于客观聚类分析,将两个对比的CHL-A季节性模式描绘出来:1)近岸图案,具有从春天到秋季的延长的CHL-A峰,与足够的营养供应和高光可用性相吻合,以及更低的CHL-A由于低太阳辐照度和水柱光光的高漫射衰减系数,因此冬季的值2)具有强大的春天绽放的海上图案,通过缓解光限制和丰富的营养素与高水柱稳定性重合引发。通过底部重新悬架和水平运输的新营养补充,冬季低CHL-A槽诱导的疲软秋季峰值主要归因于含有营养稀缺,夏季夏季的CHL-A槽。全省特定的CHL - 季节性模式与相应环境变量的季节性循环以及其他潜在的影响因素的联系是全面的划定和讨论的。

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