A Real-Time Streaming and Detection System for Bio-Acoustic Ecological Studies After the Fukushima Accident

Part of the Multimedia Systems and Applications book series (MMSA)


Acoustic ecology data have been used for a broad range of soundscape investigations. Counting sounds in a given soundscape is considered an effective method in ecology studies that provides comparative data for evaluating the impact of human community on the environment. In 2016, Kobayashi and Kudo collected a particularly valuable dataset containing recordings from within the exclusion (i.e., difficult-to-return-to) zone located 10 km from the Fukushima Daiichi Nuclear Power Plant in the Omaru District (Namie, Fukushima, Japan). These audio samples were continuously transmitted as a live stream of sound data from an unmanned remote sensing station in the area. In 2016, the first portion of their collected audio samples covering the transmitted sound recordings from the station was made available. Such data cover the bioacoustics in the area. This paper describes the methodologies by which we processed these recordings, in extreme conditions, as preliminary eco-acoustic indexes for demonstrating possible correlations between biodiversity variation and preexisting radioecology observations. The variations in some of these vocalizations were also studied.


Fukushima Accident Fukushima Daiichi Nuclear Power Plant Live Stream Radiation Exposure Effects High-dose Zone 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



Special thanks go to Fumikazu Watanabe and Laboratory Members. This study was supported by JSPS KAKENHI Grants 26700015 and 16K12666, MIC SCOPE Grants 142103015 and 162103107, JST PRESTO 11012, the Telecommunications Advancement Foundation, the Moritani Scholarship Foundation, the Tateisi Science and Technology Foundation, and the Mitsubishi Foundation. We thank the GDR CNRS MADICS that support development of the annotator platform. We thank Pascale Giraudet for annotation participation and other volonteers in Toulon and in Japan.


  1. 1.
    Chernobyl Forum. Expert Group “Environment.,” International Atomic Energy Agency. (2001) Environmental consequences of the Chernobyl accident and their remediation: twenty years of experience; report of the Chernobyl Forum Expert Group ‘Environment’. Radiological assessment reports series. International Atomic Energy Agency, ViennaGoogle Scholar
  2. 2.
    Cusack P (2012) Sounds from Dangerous Places. ReR Megacorp, Thornton Heath, Surrey,Google Scholar
  3. 3.
    Ishida K (2013) Contamination of Wild Animals: Effects on Wildlife in High Radioactivity Areas of the Agricultural and Forest Landscape. In: Nakanishi TM, Tanoi K (ed) Agricultural Implications of the Fukushima Nuclear Accident. Springer, JapanGoogle Scholar
  4. 4.
    Begone M, Harper JL, Townsend, CR (1990) Ecology: individuals, populations, and communities. 2nd. edn. Blackwell Scientific, BostonGoogle Scholar
  5. 5.
    Louv R, Fitzpatrick JW (2012) Citizen Science Public Participation in Environmental Research. 1st. edn. Cornell University Press, IthacaGoogle Scholar
  6. 6.
    Fukasawa K, Mishima Y, Yoshioka A, Kumada N, Totsu K, Osawa T (2016) Mammal assemblages recorded by camera traps inside and outside the evacuation zone of the Fukushima Daiichi Nuclear Power Plant accident. Ecological Research 31 (4):493–493. doi:10.1007/s11284-016-1366-7Google Scholar
  7. 7.
    Slabbekoorn H, Peet M (2003) Ecology: Birds sing at a higher pitch in urban noise. Nature 424 (6946):267–267Google Scholar
  8. 8.
    Kobayashi H (2010) Basic Research in Human-Computer-Biosphere Interaction. The University of Tokyo, Tokyo, JapanGoogle Scholar
  9. 9.
    Saito K, Nakamura K, Ueta M, Kurosawa R, Fujiwara A, Kobayashi HH, Nakayama M, Toko A, Nagahama K (2015) Utilizing the Cyberforest live sound system with social media to remotely conduct woodland bird censuses in Central Japan. Ambio 44 (Suppl 4):572–583. doi:10.1007/s13280-015-0708-yGoogle Scholar
  10. 10.
    Kobayashi H, Hirose M, Fujiwara A, Nakamura K, Sezaki K, Saito K (2013) Tele echo tube: beyond cultural and imaginable boundaries. In: 21st ACM international conference on Multimedia, Barcelona, Spain, pp 173–182. doi:10.1145/2502081.2502125Google Scholar
  11. 11.
    Kobayashi HH, Kudo H (2017) Acoustic Ecology Data Transmitter in Exclusion Zone, 10 km from Fukushima Daiichi Nuclear Power Plant. Leonardo 50 (2):188–189. doi:10.1162/LEON_a_01416Google Scholar
  12. 12.
    Japan Meteorological Agency – Namie Meteorological Station. Japan Meteorological Agency. 2013
  13. 13.
    Ueta M, Hirano T, Kurosawa R (2012) Optimal time of the day to record bird songs for detecting changes of their breeding periods. Bird Research 8:T1-T6. doi:10.11211/birdresearch.8.T1Google Scholar
  14. 14.
    Ishida K, Tanoi K, Nakanishi TM (2015) Monitoring free-living Japanese Bush Warblers (Cettia diphone) in a most highly radiocontaminated area of Fukushima Prefecture, Japan. Journal of Radiation Research 56 (Suppl 1):i24-i28. doi:10.1093/jrr/rrv087Google Scholar
  15. 15.
    Cartwright, M., Seals, A., Salamon, J., Williams, A., Mikloska, S., MacConnell, D., Law, E., Bello, J., and Nov, O (2017) Seeing sound: Investigating the effects of visualizations and complexity on crowdsourced audio annotations. In Proceedings of the ACM on Human-Computer Interaction, 1(1).Google Scholar
  16. 16.
    Ricard, J. and Glotin H (2016) Bird song identification and monitoring system. LSIS internal research report, University of Toulon (ed)Google Scholar
  17. 17.
    Stowell D, Wood M, Stylianou Y, Glotin H Bird detection in audio: A survey and a challenge. In: 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP), 13–16 Sept. 2016 2016. pp 1–6. doi:10.1109/MLSP.2016.7738875Google Scholar
  18. 18.
    Sevilla, A, and Glotin H (2017) Audio bird classification with inception-v4 extended with time and time-frequency attention mechanisms. In: 2017 CLEF Working Notes 1866, DublinGoogle Scholar
  19. 19.
    Watanabe Y, Ichikawa Se, Kubota M, Hoshino J, Kubota Y, Maruyama K, Fuma S, Kawaguchi I, Yoschenko VI, Yoshida S (2015) Morphological defects in native Japanese fir trees around the Fukushima Daiichi Nuclear Power Plant. Scientific Reports 5:13232. doi:10.1038/srep13232Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.CSIS, The University of TokyoTokyoJapan
  2. 2.AMU, University of Toulon, UMR CNRS LISMarseilleFrance
  3. 3.GSFS, The University of TokyoTokyoJapan
  4. 4.GSALS, The University of TokyoTokyoJapan

Personalised recommendations