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CDOM retrieval using measurements of downwelling irradiance

机译:CDom检索使用贫困辐照度的测量

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As it can strongly influence the availability of light and thus primary production, coloured dissolved organic matter (CDOM) affects the function of lake ecosystems. Therefore reliable methods are required for the monitoring of CDOM concentration. A new method using downwelling irradiance was tested for applicability in four selected lakes of the Bavarian Osterseen Lake District, which consists of 19 naturally connected freshwater lakes of different trophic level. The method separates between the direct and diffuse part of the incident light in order to handle the strong variability of the underwater light field. It is implemented in the software WASI, which is capable to retrieve water constituents by inverse modeling. During field campaigns downwelling irradiance measurements using RAMSES sensors were made in different depths. Simultaneously, water samples were taken in three depths (0.5 m, 2 m and Secchi disk depth), from which the absorption coefficient of CDOM, aY, was derived in the range from 190 to 900 nm using photometric absorption measurements. Concentration (defined as aY at 440 nm) ranged from 0.33 to 1.55 m~(-1) with a mean of 0.71 m~(-1) ± 0.04 m~(-1), the spectral slope at 440 nm from 0.0120 to 0.0184 nm~(-1) with a mean of 0.0145 ± 0.0008 nm~(-1). These laboratory measurements from water samples were compared to CDOM concentration obtained by inverse modeling of downwelling irradiance measurements using WASI. For sensor depths lower than 1 to 1.5 m large uncertainties were observed. The measurements in 2 m depth and at Secchi disk depth yielded good correlation between water sample and WASI derived data (R~2 = 0.87) with a mean standard deviation of 0.06 m~(-1) for the determined CDOM concentrations. This new method is an alternative to laboratory analysis of water samples from in situ measurements of CDOM concentration.
机译:由于它可以强烈影响光的可用性,因此初级生产,有色溶解有机物(CDOM)影响湖泊生态系统的功能。因此,对CDom浓度的监测需要可靠的方法。测试了使用贫寒辐照度的新方法,以便在巴伐利亚骨架湖区的四个选定湖区进行了适用性,由19种不同营养水平的19个自然连接的淡水湖泊组​​成。该方法在入射光的直接和漫射部分之间分离,以处理水下光场的强变性。它在软件上实现,其能够通过反向建模来检索水成分。在现场期间,使用Ramses传感器的贫困辐照度测量是不同的深度。同时,在三个深度(0.5μm,2m和secchi盘深)中拍摄水样,从中使用光度吸收测量的190至900nm的吸收系数,从中衍生在190至900nm的范围内。浓缩(定义为440 nm的AY)范围为0.33至1.55 m〜(-1),平均值为0.71 m〜(-1)±0.04 m〜(-1),光谱斜率为440nm,0.0120至0.0184 NM〜(-1)平均值为0.0145±0.0008nm〜(-1)。将来自水样的这些实验室测量与通过使用WASI的沉船辐照度测量的逆建模获得的CDom浓度进行比较。对于低于1至1.5米的传感器深度观察到的大不确定性。 2米深度和Secchi磁盘深度的测量结果在水样和Wasi衍生数据(R〜2 = 0.87)之间产生良好的相关性,其平均标准偏差为0.06 m〜(-1),用于确定的CDOM浓度。这种新方法是对来自CDom浓度的原位测量的水样的实验室分析。

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