Author Archives: biaswebadmin
BIAS was presented at the Conference Racket in the Ocean in Paris by Thomas Folegot. The theme of the Conference was “2016 Workshop Series on Ocean Noise Pollution and Responsible Innovation”.
You can find the presentation here: Racket in the Ocean.
MARE BALTICUM at KUMU
The artistic installation “Mare Balticum” will be inagurated in Tallinn at the KUMU art museum 9 September at 16:00. In conjunction with the opening there will be an open seminar. The artist Åsa Stjerna will present how to transform scientific data into an artistic experience and Professor Aleksander Klauson will give a brief introduction to the phenomenon of underwater sound. The artistic event is open for everybody. For more information visit:
© Åsa Stjerna
The end-of-project workshop of the BIAS project has come to an end. During two intensive days, 1-2 June 2016, managers, regulators, scientists and policy makers have been informed on the results of the project at the Swedish Agency for Marine and Water Management, SwAM, in Gothenburg, Sweden.
All presentations during the workshop are now available on the webpage. Follow the link to get to the BIAS end-of-project workshop page, where you will find the presentations.
The BIAS matlab scripts are now available on the webpage. Visit the page to download the scripts!
Earlier in the BIAS project, a standard for noise measurements dealing with standards of data handling, standards of handling of sensors, standards of rigs and standards of sensors was developed in order to make the field measurements comparable. The BIAS standard for noise measurements was adopted by the Technical Group Noise (TG Noise) that supports Member states on advice on the MSFD. A lot of lessons learned were done throughout the project after the first version of the standard. This has now been added to the conclusive version of the standard.
Bias standards for noise measurements is now uploaded on the webpage!
The conclusive version of the BIAS standards for signal processing is now available!
The signal processing within the BIAS project is restricted to topics related to the analysis of the retrieved digitized sound data. The main parts are to control the quality of data, to extract relevant estimates out of the raw data set, to present the properties of data in an understandable way and to provide results in an appropriate format for sound scape modelling. Pre-processing is a basic step in signal processing to prepare data for data analysis and to assess the quality of the data.
For the quality control of data BIAS use defined pre-processing procedures such as: testing of self-noise, organisation of recorded data, testing of data coverage, testing of file size and file length of the recorded files, testing of non-numerical values in the recorded data files and testing of clipping of the data.
Signal processing of data constitutes the main analysis of the raw data with the aim of extracting the fundamental measures needed for modelling sound propagation and to sum up the statistics. Processing of the sound data includes both filtering of data and data analysis. In the first step, an FFT-analysis is done over consecutive 1-second periods, giving amplitude spectra with a 1 Hz resolution. In the second step, the sound pressure levels (SPL) are calculated in the required 1/3-octave bands over 1 second. The 1-s averages are then further processed to averages of 20 seconds.
Similarly, estimates such as hourly, daily and monthly averages are also calculated based on the 1-s averages. Finally, the annual mean is derived using the 1-s averages. In BIAS monthly and annual arithmetic means and the percentile levels are established for 63, 125 and 2000 Hz as well as for the frequency band from 10 to 10,000 Hz.
The BIAS project started 2012 and is coming to an end in 2016. A number of milestones have been completed in the project. This presentation gives a short summary of what has been achieved. At the end of the presentation is both GES and DPSIR discussed as well as a short glimpse given on the GIS-based planning tool.
The aim of developing and applying Quality Assurance is to make the output of the Project reliable for management of underwater noise in accordance with Marine Strategy Framework Directive (MSFD) descriptor 11. Among other procedures, this is done by establishing and applying quality control tools, such as checklists or control charts. The report Full QA report with Appendixes are now down loadable from this web site. Follow this link:
The conceptual idea on the GIS-based planning tool for handling of the soundscape is finished. AquaBiota has released the first version, which will soon be demonstrated for the first time for stakeholders. If you are interested you can find more information on the tool under this link BIAS_Soundscape_Planning_Tool_Concepts_June2015.