『Abstract
Small mineral particles suspended in the sea are excellent at
reflecting light and show up well in visible band satellite images.
In order to make quantitative estimates of the particle concentration,
and its effect on the penetration of sunlight into the sea, it
necessary to know how the absorption, scattering and backscattering
coefficients of these inorganic particles change with concentration,
the nature of the particles, and with wavelength. In this paper,
observations from the literature are supplemented with a data
set from the Irish Sea. The concentration-specific absorption
coefficient of mineral particles a m*
is generally found to decrease exponentially with wavelength towards
(in our data) a constant non-zero value in the red. Specific scattering
coefficients show a tendency to decrease from the open ocean into
energetic shelf seas and estuaries, but then to increase again
within shelf seas as turbulent energy increases. The variation
of specific scattering with turbulent energy in the Irish Sea
is consistent with particle size scaling with the Kolmogorov microscale.
Colour ratios (the ratio of two reflection coefficient) are less
sensitive to variations in scattering, and we suggest that a combination
of satellite measurements of brightness and colour in water
with high mineral suspended sediment content will produce (1)
a better estimate of concentration and (2) information on the
variation of specific scattering.
Keywords: suspended particles; light absorption; light scattering』
1. Introduction
1.1 The nature of the particles
1.2. A data set
2. Absorption of light by mineral particles
2.1. Filter pad method
2.2. In situ measurements
2.3. Summary of absorption measurements in the literature
3. Scattering of light by mineral particles
3.1. The specific scattering coefficient of mineral particles
3.2. The specific scattering coefficient of total suspended sediment
3.3. Evidence for variation of specific scattering with turbulence
3.4. Backscattering by mineral particles
4. Applications to direct and remote sensing
5. Conclusions
Acknowledgements
References