Skip to main content

Early Warning Systems and Their Effectiveness in Asia

  • Chapter
  • First Online:
Coping with Climate Change

Abstract

Early warning systems allow communities to organize for and tackle the natural hazards. The efficiency of such systems depends on technology available, training of community, disaster preparedness and how corrupt a society is. The efficiency is measured in terms of lives saved and reduction in losses, which is directly related to the execution of response by the people and institutions. The indispensable components of the forecasting, warning and response system consist of a data source, communications, forecasts, decision support, notification, coordination, and responses. A flood forecast and warning programme should be designed to mitigate disaster. To achieve this, it is essential that all of the components of the system be functional.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Baldwin I.G, Harman M.M.I, Neville D.A, 1994: Performance characteristics of a fish monitor for detection of toxic substances-I. Laboratory trials. Water Research 28(10), 2191±2199.

    Article  Google Scholar 

  • Borcherding J, Volpers M, 1994: The ‘Dreissena-monitor’, first results on the application of this biological early warning system in the continuous monitoring of water quality. Water Science and Technology 29(3), 199±201.

    Google Scholar 

  • Femke Vos - Jose Rodriguez - Regina Below - D. Guha-Sapir, 2009: Annual Disaster Statistical Review 2009 – The numbers and trends, Centre for Research on the Epidemiology of Disasters

    Google Scholar 

  • Hellen Nyakundi, 2008: ‘An Investigation into Community and Response to Flood Risks’, ProVention/World Bank Young Researcher report, Hellen Nyakundi, Dr Isaac Mwanzo, Dr A. Yitambe and Stephen Mogere, Kenyatta University, Kenya, Community perceptions and response to flood risks in Nyando district, Western Kenya, http://www.proventionconsortium.org/themes/default/pdfs/CRA/Kenya.pdf downloaded on 21 July 2010

  • Kramer K.J.M, Botterweg J, 1991: Aquatic biological early warning systems: an overview. In: Jeffrey, D.W., Madden, B. (Eds.), Bioindicators and Environmental Management. Academic Press, London, pp. 95±126.

    Google Scholar 

  • Lynam C.P, Hay S.J, Brierley A.S, 2004: Interannual variability in abundance of North Sea jellyfish and links to the North Atlantic Oscillation. Limnol. Oceanogr. 49, 637–643

    Article  Google Scholar 

  • Martin V, Von Dobschuetz S, Lemenach A, Rass N, Schoustra W and Desimone L, Supplement 2007: Early Warning, Database, and Information Systems For Avian Influenza Surveillance1, Journal Of Wildlife Diseases, 43(3), Pp. S71–S76

    Google Scholar 

  • Millicent Eidson, Laura Kramer, Ward Stone, Yoichiro Hagiwara, Kate Schmit, 2001: The New York State West Nile Virus Dead Bird Surveillance as an Early Warning System for West Nile Virus, July–August 2001, Emerging Infectious Diseases Vol. 7, No. 4, pp 631–635

    Article  Google Scholar 

  • Philippa Howell, 2003: Indigenous early warning indicators of cyclones: Potential application in coastal Bangladesh, Disaster Studies Working Paper 6, Benifield hazard Research Centre, Aon Benfield UCL Hazard. www.abuhrc.org/Publications/Working%20Paper%206.pdf downloaded on 21 July2010

  • Ramanathan A.S, 1987: Indian Journal of History of Science, 22(3): page 191–197

    Google Scholar 

  • Smith E.H, Bailey H.C, 1988: Development of a system for continuous biomonitoring of a domestic water source for early warning of contaminants. In: Gruber, D.S., Diamond, J.M. (Eds.), Automated Biomonitoring. Ellis Horwood, Chichester, pp. 182±205.

    Google Scholar 

  • Sluyts H, Van Hoof F, Cornet A, Paulussen J, 1996: A dynamic new alarm system for use in biological early warning systems. Environmental Toxicology and Chemistry 15(8), 1317±1323

    Article  Google Scholar 

  • UNFCCC, 2005: Report of the Asian Regional Workshop on Adaptation. http://maindb.unfccc.int/library/view_pdf.pl?url=http://unfccc.int/resource/docs/2007/sbi/eng/13.pdf retrieved on September 30, 2010.

  • Van Hoof F, Sluyts H, Paulussen J, Berckmans D, Bloemen H, 1994: Evaluation of a biomonitor based on the phototactic behaviour of Daphnia magna using infrared detection and digital image processing. Water Science and Technology 30(10), 79±86.

    Google Scholar 

  • VASAT (Virtual Academy for Semi Arid Tropics), 2010: http://vasat.icrisat.ac.in/?q=node/304 downloaded on 22 July 2010

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ramesha Chandrappa .

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Chandrappa, R., Gupta, S., Kulshrestha, U.C. (2011). Early Warning Systems and Their Effectiveness in Asia. In: Coping with Climate Change. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19674-4_9

Download citation

Publish with us

Policies and ethics