Design and application of a semi-automated filtration system to study the distribution of particulate organic carbon in the water column of a coastal upwelling system

Holser, Rachel R.; Goñi, Miguel A.; Hales, Burke

doi:10.1016/j.marchem.2010.10.001

Cited by 21 publications

(21 citation statements)

References 47 publications

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“…The mean dry‐filter blank was 8.1 μ g C with a coefficient of variation of 26% (n = 32). The difference between the dry‐filter blank and the average blank can be assigned to adsorbed DOC, 10.9 μ g C. Previously published values are similar to ours, i.e., 20–25 μ g C for 0.8 μ m silver filters [ Menzel , 1966], 24 μ g for GF/F filters [ Moran et al , 1999], 21 μ g C for Pall glass fiber type A/E filters with a correction for filter area [ Holser et al , 2011]. Moran et al [1999], based on their own work and that of Menzel, suggest that DOC adsorption is dependent on the number of adsorption sites on the filter; some of the variability among different studies may be due to different filter types or manufacturing lots [ Stramski et al , 2008], and hence a variable number of adsorption sites per filter.…”

Section: Resultssupporting

confidence: 83%

“…Dashed lines depict 1:1 relationship, from which only b bp deviates. 21 mg C for Pall glass fiber type A/E filters with a correction for filter area [Holser et al, 2011]. Moran et al [1999], based on their own work and that of Menzel, suggest that DOC adsorption is dependent on the number of adsorption sites on the filter; some of the variability among different studies may be due to different filter types or manufacturing lots [Stramski et al, 2008], and hence a variable number of adsorption sites per filter.…”

Section: Poc Blanksmentioning

confidence: 99%

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Particulate organic carbon and inherent optical properties during 2008 North Atlantic Bloom Experiment

et al. 2012

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[1] The co-variability of particulate backscattering (b bp ) and attenuation (c p ) coefficients and particulate organic carbon (POC) provides a basis for estimating POC on spatial and temporal scales that are impossible to obtain with traditional sampling and chemical analysis methods. However, the use of optical proxies for POC in the open ocean is complicated by variable relationships reported in the literature between POC and c p or b bp . During the 2008 North Atlantic Bloom experiment, we accrued a large data set consisting of >300 POC samples and simultaneously measured c p and b bp . Attention to sampling detail, use of multiple types of POC blanks, cross-calibration of optical instruments, and parallel measurements of other biogeochemical parameters facilitated distinction between natural and methodological-based variability. The POC versus c p slope varied with plankton community composition but not depth; slopes were 11% lower for the diatom versus the recycling community. Analysis of literature POC versus c p slopes indicates that plankton composition is responsible for a large component of that variability. The POC versus b bp slope decreased below the pycnocline by 20%, likely due to changing particle composition associated with remineralization and fewer organic rich particles. The higher b bp /c p ratios below the mixed layer are also indicative of particles of lower organic density. We also observed a peculiar platform effect that resulted in $27% higher values for downcast versus upcast b bp measurements. Reduction in uncertainties and improvement of accuracies of POC retrieved from optical measurements is important for autonomous sampling, and requires community consensus for standard protocols for optics and POC.Citation: Cetinić, I., M. J.

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Section: Resultssupporting

confidence: 83%

Section: Poc Blanksmentioning

confidence: 99%

Particulate organic carbon and inherent optical properties during 2008 North Atlantic Bloom Experiment

et al. 2012

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“…Sensors to measure marine particles have been routinely deployed on CTD rosettes (Bishop and Joyce, 1986;Bishop et al, 1992;Bishop et al, 2012;Bishop, 1999;Bishop and Wood, 2008;Dickey et al, 2006;Gardner et al, 1985;Gardner et al, 1993;Gardner et al, 2001;Hill et al, 2011;Karp-Boss et al, 2004;Stemmann et al, 2008a), during deployments of large volume insitu filtration systems (Bishop, 1999;Bishop et al, 1999;Bishop et al, 2012;Bishop and Wood, 2008;Moran et al, 1999), on slow-drop packages (packages that fall under their own weight, Barnard et al, 1998), towed pumping systems, (Holser et al, 2011), AUVs and profiling floats Bishop and Wood, 2009;Bishop et al, 2004;Boss et al, 2008;Checkley et al, 2008;Dickey et al, 2008), submarines, bottom tripods (Gardner et al, 1985;Slade et al, 2011) and moorings (Dickey et al, 2006;Gardner, 1989aGardner, , 1989bRichardson et al, 1993). Consideration of deployment platform should include potential of platform interference with particles (e.g.…”

Section: Deployment Strategiesmentioning

confidence: 99%

Optical techniques for remote and in-situ characterization of particles pertinent to GEOTRACES

Boss

Guidi

Richardson

et al. 2015

Progress in Oceanography

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a b s t r a c tField and laboratory characterization of marine particles is laborious and expensive. Proxies of particle properties have been developed that allow researchers to obtain high frequency distributions of such properties in space or time. We focus on optical techniques used to characterize marine particles in-situ, with a focus on GEOTRACES-relevant properties, such as bulk properties including particle mass, crosssectional area, particle size distribution, particle shape information, and also single particle optical properties, such as individual particle type and size. We also address the use of optical properties of particles to infer particulate organic or inorganic carbon. In addition to optical sensors we review advances in imaging technology and its use to study marine particles in situ. This review addresses commercially available technology and techniques that can be used as a proxy for particle properties and the associated uncertainties with particular focus to open ocean environments, the focus of GEOTRACES.

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“…At least two inherent optical properties are needed to determine relative composition of particles (organic versus inorganic) e.g. absorption, fluorescence and backscattering, (Holser et al, 2011), backscatter and total scatter (Loisel et al, 2007;Nencioli et al, 2010), backscatter and attenuation (Boss et al, 2009). Gardner et al (2001) demonstrated that continuous profiles of in situ beam attenuation and fluorescence, combined with discrete bottle data can provide information about particle properties, and composition.…”

Section: Assessment Of Particle Compositionmentioning

confidence: 99%

Spatial and seasonal variability of particulate matter optical and size properties in the Eastern Mediterranean Sea

Karageorgis

Georgopoulos

Kanellopoulos

et al. 2012

Journal of Marine Systems

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Design and application of a semi-automated filtration system to study the distribution of particulate organic carbon in the water column of a coastal upwelling system

Cited by 21 publications

References 47 publications

Particulate organic carbon and inherent optical properties during 2008 North Atlantic Bloom Experiment

Particulate organic carbon and inherent optical properties during 2008 North Atlantic Bloom Experiment

Optical techniques for remote and in-situ characterization of particles pertinent to GEOTRACES

Spatial and seasonal variability of particulate matter optical and size properties in the Eastern Mediterranean Sea

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