IMIS - Marine Research Groups | Compendium Coast and Sea

IMIS - Marine Research Groups

[ report an error in this record ]basket (0): add | show Print this page

Effect of turbidity on semi-automatic analysis of copepod size and abundance distribution in the water column
da Silva Matos, T.; dos Reis, C.S.; de Andrade Moura, L.; Abreu, M.; Coutinho, R.; Fernandes, L. (2024). Effect of turbidity on semi-automatic analysis of copepod size and abundance distribution in the water column. Advances in Bioscience and Biotechnology 15(06): 380-395. https://dx.doi.org/10.4236/abb.2024.156023
In: Advances in Bioscience and Biotechnology. Scientific Research Publishing Inc: China. ISSN 2156-8456, more

Available in  Authors 

Keywords
    Aquatic communities > Plankton > Zooplankton
    Imaging
Author keywords
     Doce River, LOKI, Copepod

Project Top | Authors 
  • Towards the Sustainable Development of the Atlantic Ocean: Mapping and Assessing the present and future status of Atlantic marine ecosystems under the influence of climate change and exploitation, more

Authors  Top 
  • da Silva Matos, T.
  • dos Reis, C.S.
  • de Andrade Moura, L.
  • Abreu, M.
  • Coutinho, R.
  • Fernandes, L.

Abstract
    Automated image systems to characterize aquatic organisms improve research and enable fast response to environmental risk situations. In November 2015, a dam in Mariana City-MG (Brazil) collapsed and led to the disposal of mud tailings from the mining process to the Doce River. The accident resulted in several casualties and incalculable damage to surrounding communities and the environment. The mud increased water turbidity, an essential condition to the functioning of the image analysis systems, and directly affected the characterization of the organisms, making it impossible to distinguish copepods in the mud, due to the blurred outline. To get a quick response evaluating environmental situations, this work aimed to develop and test different algorithms characterizing and classifying copepods by their size (length and area) using in situ images acquired by the Lightframe On-Sight Keyspecies Investigation device. Field tests were carried out under different turbidity levels throughout the gradient observed in the coastal zone adjacent to the Doce River. The best algorithm reduced nearly 50% of the noise in some images when compared with manual treatment and led to 96% accuracy in measurement and counting. Semi-automated devices that perform post-processing corrections are suitable for fast environmental evaluation under high turbidity scenarios.

All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy Top | Authors