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Collaborative Community Weather Information

  • Kensuke TakenouchiEmail author
Chapter
Part of the Integrated Disaster Risk Management book series (IDRM)

Abstract

Weather and hydrological information have rapidly improved with developments in science and technology, but community engagement with disaster prevention has been declining gradually. The relationship between available information and community engagement can be separated into issues of an overdependence on information or an attitude of waiting for more information by recipients of weather and hydrological information. To resolve these issues and construct a new relationship between the providers of information and users, we discuss collaborative community weather information (CCWI), a new approach to weather and hydrological information created by promoting risk communication among various stakeholders, including residents. Since July 2014, the author has been undertaking practical research on CCWI in the Nakajima School District in Japan. We consider the effects and future vision of CCWI through a case study in which three CCWI systems were created through collaboration with the Nakajima local government, weather office, river manager, community council, residents, and researchers. We have observed the operation of the Nakajima CCWI system and report our findings in this chapter. We conclude that CCWI can facilitate better risk communication in disasters as collaboration between providers of meteorological information and local recipients of risk information.

Keywords

Weather information Hydrological information Risk communication Community culture in disaster prevention Community collaboration 

References

  1. Almoradie A, Cortes VJ, Jonoski A (2015) Web-based stakeholder collaboration in flood risk management. J Flood Risk Manag 8:19–38CrossRefGoogle Scholar
  2. Bateson G (1972) Steps to an ecology of mind. Jason Aronson Inc., LondonGoogle Scholar
  3. Catherine CA, Carlos Primo CD, Guillermo QT III (2012) Community-based monitoring for flood early warning system: an example in central Bicol River basin, Philippines. Disaster Prev Manag: Int J 21(1):85–96Google Scholar
  4. Chen SC, Wu CY (2014) Debris flow disaster prevention and mitigation of non-structural strategies in Taiwan. J Mt Sci 11(2):308–322CrossRefGoogle Scholar
  5. Gautam DK, Phaiju AG (2013) Community based approach to flood early warning in West Rapti River Basin of Nepal. J Integr Disaster Risk Manag 3(1):155–169CrossRefGoogle Scholar
  6. GDPFS (2015) WMO technical progress report on the global data-processing and forecasting system and numerical weather prediction research. http://www.wmo.int/pages/prog/www/DPFS/ProgressReports/2015/GDPFS-NWP-2015.html. Accessed 25 Mar 2018
  7. Government of Japan (2016) The 5th science and technology basic plan. http://www8.cao.go.jp/cstp/english/basic/5thbasicplan.pdf. Accessed 25 Mar 2018
  8. Guha-Sapir D (2018) EM-DAT: the emergency events database—Université catholique de Louvain (UCL)—CRED, Brussels, Belgium. www.emdat.be. Accessed 25 Mar 2018
  9. IFRC (International Federation of Red Cross and Red Crescent Societies) (2015) World disasters report. http://ifrc-media.org/interactive/wp-content/uploads/2015/09/1293600-World-Disasters-Report-2015_en.pdf. Accessed 25 Mar 2018
  10. IPCC (Intergovernmental Panel on Climate Change) (2012) Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change In: Field CB, Barros V, Stocker TF, Qin D, Dokken DJ, Ebi KL, Mastrandrea MD, Mach KJ, Plattner G-K, Allen SK, Tignor M, Midgley PM (eds) Cambridge University Press, Cambridge, UK, and New York, NY, USA, 582 pGoogle Scholar
  11. Japan Meteorological Agency (2011) Report of the result of questionnaire survey “Survey on utility situation of weather information for disaster prevention”, 05/2011, Japan Meteorological Agency. http://www.jma.go.jp/jma/press/1105/31a/manzokudo_data.pdf (in Japanese). Accessed 25 Mar 2018
  12. Katada T (2006) Study on the way of social co-learning based on disaster investigations and the results, working papers of FY2005 “Priority research issue (Research grants)” (in Japanese)Google Scholar
  13. Katada T, Kodama M, Kuwasawa N, Koshimura S (2005) Issues of resident’s consciousness and evacuation from the tsunami -from questionnaire survey in Kesennuma city, Miyagi Pref. After the earthquake of Miyagi-oki, 2003. In: Proceedings of Japan society of civil engineers, no 789/II-71: 93–104 (in Japanese)Google Scholar
  14. Macherera M, Chimbari MJ (2016) A review of studies on community based early warning systems. Jàmbá: J Disaster Risk Stud 8(1):1–11Google Scholar
  15. Maskrey SA, Mount NJ, Thorne CR, Dryden I (2016) Participatory modelling for stakeholder involvement in the development of flood risk management intervention options. Environ Model Softw 82:275–294CrossRefGoogle Scholar
  16. Sasada K, Yi-Tzu Lin YT, Sato N (2015) Development of non-structural measures toward dangerous area for debris flow disaster in the mountainous area of Taiwan and implications for Japan. J Jpn Soc Nat Disaster Sci 34(3):189–211 (in Japanese)Google Scholar
  17. Smith PJ, Brown S, Dugar S (2017) Community-based early warning systems for flood risk mitigation in Nepal. Nat Hazards Earth Sci 17(3):423–437CrossRefGoogle Scholar
  18. Takemi T, Okada Y, Ito R, Ishikawa H, Nakakita E (2016) Assessing the impacts of global warming on meteorological hazards and risks in Japan: Philosophy and achievements of the SOUSEI program. Hydrol Res Lett 10(4):119–125CrossRefGoogle Scholar
  19. Takenouchi K, Kawata Y, Nakanishi C, Yamori K (2014) Collaborative community weather information-sharing disaster risk between producer and user-. J Disaster Inf 12:100–113 (in Japanese)Google Scholar
  20. Takenouchi K, Nakanishi C, Yamori K, Sawada M, Takeuchi K, Fujiwara H (2017) A trial of collaborative construction of local weather information at Nakajima school district in Ise. J Integr Disaster Risk Manag 7(2):1–24Google Scholar
  21. United Nations (2015) Sendai framework for disaster risk reduction 2015–2030. http://www.unisdr.org/we/coordinate/sendai-framework. Accessed 25 Mar 2018
  22. Yamori (2013) Risk communication in huge disasters-a new style of disaster information. Minerva Publishing (in Japanese)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Disaster Prevention Research InstituteKyoto UniversityKyotoJapan

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