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首页> 外文期刊>Israel Journal of Plant Sciences >Mapping phytoplankton chlorophyll in turbid, Case 2 estuarine and coastal waters
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Mapping phytoplankton chlorophyll in turbid, Case 2 estuarine and coastal waters

机译:在浑浊,案例2河口和沿海水域中绘制浮游植物叶绿素的图谱

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We tested variants of semianalytic algorithms for estimating phytoplankton chlorophyll pigment in Case 2 waters. Since 2002 we sampled 279 stations in 22 estuaries, bays, and near shore at seven National Estuarine Research Reserves between Delaware and Texas (USA). The following median values and ranges were observed: chlorophyll a = 17.4 mu g/L~3 (0.2-190.1); total suspended solids - 23.4 mg/L dry weight (0.7-191.1); and CDOM absorbance (440 nm) = 3.11 m~(-1) (0.00-21.08). Spectroradiotneters measured volume reflectance at each station. Sampling was designed to capture upriver to coastal mixing gradients. Algorithms utilized features in the red and lower NIR, with interference adjustments for CDOM absorption and non-algal particle scatter using bands in either the green (550 nm) or NIR between 723-739 nm. Data from an additional 53 inland lake, reservoir, and river stations were included for comparison in algorithm testing. Our best two algorithms were re-parameterized using matchups with AISA Eagle imagery. Examples of pigment classification using these adjusted models are presented for five studies: dinoflagel-late bloom in Maryland, tidal watershed in Georgia, estuarine reserve and neighboring refinery in Mississippi, shallow ponds important to Whooping Cranes in Texas, and a transect capturing transitions between the Nueces River and Corpus Christi Bay in Texas. These analyses were useful in addressing issues important to coastal management.
机译:我们测试了案例2水域中浮游植物叶绿素色素估计的半解析算法的变体。自2002年以来,我们在美国特拉华州和德克萨斯州之间的七个国家河口研究保护区的22个河口,海湾和近岸采样了279个站。观察到以下中值和范围:叶绿素a = 17.4μg / L〜3(0.2-190.1);总悬浮固体-23.4 mg / L干重(0.7-191.1); CDOM吸光度(440 nm)= 3.11 m〜(-1)(0.00-21.08)。光谱辐射仪测量每个站的体积反射率。采样旨在捕获上游到沿海的混合梯度。该算法利用了红色和较低NIR的特征,并通过绿色(550 nm)或723-739 nm之间的NIR波段对CDOM吸收和非藻类粒子散射进行了干扰调整。算法测试中还包括了来自另外53个内陆湖泊,水库和河站的数据,以进行比较。使用与AISA Eagle影像的匹配对我们最好的两种算法进行了重新参数化。使用这些调整后的模型对颜料进行分类的示例涉及五项研究:马里兰州的鞭毛晚花期,乔治亚州的潮汐分水岭,密西西比州的河口保护区和邻近的炼油厂,得克萨斯州百日鹤重要的浅塘,以及捕获河床之间过渡的样带。 Nueces河和科珀斯克里斯蒂在得克萨斯咆哮。这些分析对于解决对沿海管理重要的问题很有用。

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