@article{fdi:010070923,
  title = {{I}n {S}itu quantification of the suspended load of estuarine aggregates from multifrequency acoustic inversions},
  author = {{F}romant, {G}. and {F}loc'h, {F}. and {L}ebourges {D}haussy, {A}nne and {J}ourdin, {F}. and {P}errot, {Y}annick and {L}e {D}antec, {N}. and {D}elacourt, {C}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he study of the suspended particulate matter ({SPM}) transport is essential to understanding oceans and rivers, for their presence can impact the environment, from marine habitats or water quality degradations to important changes of the seabed morphology. {A}mong a large number of surrogate techniques in traditional water sampling, acoustical methods have the advantage of providing nonintrusive measurements, with high spatial and temporal resolutions. {H}owever, the ability of fine-grained sediments to aggregate under the process of flocculation complexifies the interpretation of acoustical measurements. {T}he objective of this paper is to design a simple backscatteringmodel for flocculated sediment suspensions, in order to interpret the information provided by a multifrequency profiler and to retrieve both the concentration and the dominant size of a suspension of flocculated sediments in an estuarine context. {I}n situ granulometry laser data, collected in the {A}ulne macrotidal estuary ({F}rance), showed that over the size distribution observed, a mean porosity of apparent particles in suspension can be used directly as input for model generation. {T}he in situ acoustic signal was concurrently recorded at 0.5, 1, 2, and 4{MH}z, and then inverted using the nonnegative least squares algorithm after constraining the model with an optimal porosity, allowing for a discrete representation of the mass concentration distributed over several equivalent spherical radii. {T}he inversion results are in good agreement with the in situ mass concentration obtained through in situ water samplings.},
  keywords = {{FRANCE} ; {MANCHE}},
  booktitle = {},
  journal = {{J}ournal of {A}tmospheric and {O}ceanic {T}echnology},
  volume = {34},
  numero = {8},
  pages = {1625--1643},
  ISSN = {0739-0572},
  year = {2017},
  DOI = {10.1175/jtech-d-16-0079.1},
  URL = {https://www.documentation.ird.fr/hor/fdi:010070923},
}