| Summary: |
The main goal of this project is the development of methods to improve ocean outfall environmental impact assessment and modelling capabilities taking advantage of recent enhancements of in situ bio-optical instrumentation and feature-based sampling capabilities on relevant space temporal and spatial scales of AUVs. By measuring the IOPs at more than one wavelength, and using spectral fluorescence data, we will take advantage of the potential spectral signatures of the particle field in order to quantify its components. Detailed maps of effluent dispersion and spatial distribution of resuspended sediments will then be provided. The methods developed in data analysis and processing will provided accurate data for evaluating a near and far field plume model.
To take advantage of AUVs feature-based sampling capabilities an adaptive sampling approach will be developed based on data collected in real time. Relevant temporal and spatial scales of mixing phenomena will also be taken into account to specify this strategy.
An automatic modular data processing system based on the new methods developed will enable quicker response in case of contamination risk to
near-by beaches and other ecosystems.
The technological improvements developed in the scope of this project will be tested and validated in a second monitoring to the ocean outfall.
It is also a challenge of the project to support postgraduate studies of the project team on sewage outfall plumes field and to diffuse the most
relevant research results, namely through publications on reference magazines and conferences and with the realization of a workshop involving
research and industrial participants. |