Observations of particle density and scattering in the Tamar Estuary

Braithwaite, K.M.; Bowers, David; Smith, W. A. M. Nimmo; Graham, George W.; Agrawal, Y. C.; Mikkelsen, Ole A.

doi:10.1016/j.margeo.2010.06.008

Cited by 15 publications

(25 citation statements)

References 24 publications

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“…Measurements of PSD for particles in the approximate size range of 1 to 100 μm are typically made on discrete water samples (e.g., a Coulter counter), are timeconsuming, and have the additional problem of disturbing the in situ size distribution, such as by breaking aggregates. More recently, in-water instruments for particle sizing using near-forward laser diffraction have been used in a variety of applications [1,[3][4][5][6][7][8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Spectral attenuation and backscattering as indicators of average particle size

Slade

Boss

2015

Appl. Opt.

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Measurements of the particulate beam attenuation coefficient at multiple wavelengths in the ocean typically exhibit a power law dependence on wavelength, and the slope of that power law has been related to the slope of the particle size distribution (PSD), when assumed to be a power law function of particle size. Recently, spectral backscattering coefficient measurements have been made using sensors deployed at moored observatories, on autonomous underwater vehicles, and even retrieved from space-based measurements of remote sensing reflectance. It has been suggested that these backscattering measurements may also be used to obtain information about the shape of the PSD. In this work, we directly compared field-measured PSD with multispectral beam attenuation and backscattering coefficients in a coastal bottom boundary later. The results of this comparison demonstrated that (1) the beam attenuation spectral slope correlates with the average particle size as suggested by theory for idealized particles and PSD; and (2) measurements of spectral backscattering also contain information reflective of the average particle size in spite of large deviations of the PSD from a spectral power law shape.

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Section: Introductionmentioning

confidence: 99%

Spectral attenuation and backscattering as indicators of average particle size

Slade

Boss

2015

Appl. Opt.

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“…A future hybrid model applicable for both coastal and clear waters, and particularly for clear waters, might further improve the accuracy in estimations of AC, but it is difficult to conduct such an analysis at this stage because of limited samples from clear waters in our dataset. In addition, bio-optical properties of particles in coastal regions are complex and dynamic due to changes in particle assemblages [45]. Although the algorithm of this study performed generally well in the BS and YS, its applicability in additional coastal regions must be validated in further investigations.…”

Section: Implications Of Remote Sensing Applications Of Acmentioning

confidence: 94%

Remote Sensing of Particle Cross-Sectional Area in the Bohai Sea and Yellow Sea: Algorithm Development and Application Implications

et al. 2016

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Suspended particles in waters play an important role in determination of optical properties and ocean color remote sensing. To link suspended particles to their optical properties and thereby remote sensing reflectance (R rs (λ)), cross-sectional area is a key factor. Till now, there is still a lack of methodologies for derivation of the particle cross-sectional area concentration (AC) from satellite measurements, which consequently limits potential applications of AC. In this study, we investigated the relationship between AC and R rs (λ) based on field measurements in the Bohai Sea (BS) and Yellow Sea (YS). Our analysis confirmed the strong dependence of R rs (λ) on AC and that such dependence is stronger than on mass concentration. Subsequently, a remote sensing algorithm that uses the slope of R rs (λ) between 490 and 555 nm was developed for retrieval of AC from satellite measurements of the Geostationary Ocean Color Imager (GOCI). In situ evaluations show that the algorithm displays good performance for deriving AC and is robust to uncertainties in R rs (λ). When the algorithm was applied to satellite data, it performed well, with a coefficient of determination of 0.700, a root mean squared error of 2.126 m −1 and a mean absolute percentage error of 40.7%, and it yielded generally reasonable spatial and temporal distributions of AC in the BS and YS. The satellite-derived AC using our algorithm may offer useful information for modeling the inherent optical properties of suspended particles, deriving the water transparency, estimating the particle composition and possibly improving particle mass concentration estimations in future.

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“…Thonon et al 2005) environments, and particle movement and settling within estuarine and marine environments (e.g. Braithwaite et al 2010). Techniques for in-situ, real-time analysis of inorganic and organic chemicals are also showing potential (Parkinson and Dust 2010), but clearly there is need for further developments in this area.…”

Section: In-situ Field Methodsmentioning

confidence: 99%

Recent advances and future directions in soils and sediments research

Owens

2011

J Soils Sediments

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Observations of particle density and scattering in the Tamar Estuary

Cited by 15 publications

References 24 publications

Spectral attenuation and backscattering as indicators of average particle size

Spectral attenuation and backscattering as indicators of average particle size

Remote Sensing of Particle Cross-Sectional Area in the Bohai Sea and Yellow Sea: Algorithm Development and Application Implications

Recent advances and future directions in soils and sediments research

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