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Enablers for Effective Multi-hazard Early Warning System: A Literature Review

  • Conference paper
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ICSECM 2019

Part of the book series: Lecture Notes in Civil Engineering ((LNCE,volume 94))

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Abstract

The intensity and frequency of natural hazards have increased unprecedentedly, resulting in devastating impacts on lives and economies. The present challenge for practitioners and policymakers is to reduce such impacts and related risks with innovative measures. A multi-hazard early warning system has been recognized as a crucial element in most disaster risk reduction measures. However, recent hazard incidents revealed that existing early warning systems are not completely able to save lives and reduce economic losses due to many reasons. Hence, this paper is conducted to provide a comprehensive understanding of the enablers to be considered when developing a fully comprehensive multi-hazard early warning system. Further, the study presents the benefits of establishing an effective multi-hazard early warning over single early warning systems. The paper is based on a narrative review applying a systematic basis for selecting research papers for the study. According to study results, three aspects to be considered when developing and operating an effective multi-hazard early warning system. Policy, legislative and institutional arrangements; social and cultural considerations and technological and scientific arrangements are the three categories. Policy, legislative and institutional arrangements contain governance, political recognition, mainstreaming early warning into development planning, stakeholder partnerships, periodic feedback, empowerment of local authorities and provision of resources/infrastructure. Social and cultural consideration includes training and capacity building, awareness and education, planning and preparedness, community engagement and empowerment and consideration of gender perspective and cultural diversity. Finally, integration of technological and scientific knowledge, risk information, hazard warning dissemination and communication, and monitoring and forecasting are the technological and scientific arrangements to be assured for an effective multi-hazard early warning for disaster risk reduction and enhancing resilience.

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References

  1. Alam K, Rahman MH (2014) Women in natural disasters: a case study from the southern coastal region of Bangladesh. Int J Disaster Risk Reduct 8:68–82

    Article  Google Scholar 

  2. Alfieri L, Salamon P, Pappenberger F, Wetterhall F, Thielen J (2012) Operational early warning systems for water-related hazards in Europe. Environ Sci Policy 21:35–49

    Article  Google Scholar 

  3. Bang HN (2013) Governance of disaster risk reduction in Cameroon: The need to empower local government. JAMBA-J Disaster Risk Studies 5

    Google Scholar 

  4. Basher R (2006) Global early warning systems for natural hazards: systematic and people-centered. Philos Trans Royal Soc London A: Math Phys and Eng Sci 364:2167–2182

    Google Scholar 

  5. Bildan L (2006) Eleven-country cooperation in establishing a regional multi-hazard early warning system in the Indian Ocean and Southeast Asia. In: Centre ADP (ed) Multi-hazards early warning systems: asian disaster management news. ADPC, Pathumthani, Thailand

    Google Scholar 

  6. Boxberger T, Fleming K, Pittore M, Parolai S, Pilz M, Mikulla S (2017) The multi-parameter wireless sensing system (MPwise): its description and application to earthquake risk mitigation. Sensors 17:2400

    Article  Google Scholar 

  7. Buan S, Diamond L (2012) Multi-hazard early warning system of the United States National Weather Service. Institutional Partnerships in Multi-Hazard Early Warning Systems. Springer

    Google Scholar 

  8. Chaimanee N (2006) The role of geoscience in hazard mitigation. Asian disaster management news—Newsletter 12:6–6

    Google Scholar 

  9. Challinor A, Wheeler T, Garforth C, Craufurd P, Kassam A (2007) Assessing the vulnerability of food crop systems in Africa to climate change. Clim Change 83:381–399

    Article  Google Scholar 

  10. CNN (2018) Indonesia tsunami: grim search for survivors continues as death toll reaches 430 [Online]. Available: https://edition.cnn.com/2018/12/25/asia/indonesia-tsunami-intl/index.html. Accessed

  11. Collins AE (2009a) Disaster and development. Routledge

    Google Scholar 

  12. Collins AE (2009b) Early warning: a people-centered approach to early warning systems and the ‘last mile’

    Google Scholar 

  13. Collins ML, Kapucu N (2008) Early warning systems and disaster preparedness and response in local government. Disaster Prev Manage: An Int J 17:587–600

    Article  Google Scholar 

  14. CRED–UNISDR (2016) Poverty & death: disaster mortality mortality trends from major disasters from 1996 to 2015

    Google Scholar 

  15. De Silva K, Amaratunga D, Haigh R (2015) Gender equity in disaster early warning systems. In: Proceedings of the 8th international conference of faculty of architecture

    Google Scholar 

  16. Dutta R, Basnayake S (2018) Gap assessment towards strengthening early warning systems. Int J Disaster Resilience Built Environ 9:198–215

    Article  Google Scholar 

  17. EM-DAT (2019) EMDAT -database [Online]. Available: https://www.emdat.be/emdat_db/. Accessed 15th Oct 2019

  18. Fathani TF, Karnawati D, Wilopo W (2016) An integrated methodology to develop a standard for landslide early warning systems. Nat Hazards Earth Syst Sci 16:2123–2135

    Article  Google Scholar 

  19. Ferrari R (2015) Writing narrative style literature reviews. Med Writing 24:230–235

    Google Scholar 

  20. Frankenberg E, Sikoki B, Sumantri C, Suriastini W, Thomas D (2013) Education, vulnerability, and resilience after a natural disaster. Ecology and society: A J Integr Sci Res Sustain 18:16

    Article  Google Scholar 

  21. Gall M, Cutter SL, Nguyen K (2014) Governance in disaster risk management IRDR AIRDR Publication No 03. Int Res Disaster Risk, Beijing

    Google Scholar 

  22. Gault B, Hartmann H, Jones-Deweever A, Werschkul M, Williams E (2005) The women of new orleans and the gulf coast: multiple disadvantages and key assets for recovery: part I. Poverty, race, gender and class, institute for women’s policy research (IWPR)

    Google Scholar 

  23. Gerber BJ, Robinson SE (2009) Local government performance and the challenges of regional preparedness for disasters. Public Perform Manage Rev 32:345–371

    Article  Google Scholar 

  24. Golnaraghi M (2012) Institutional partnerships in multi-hazard early warning systems: a compilation of seven national good practices and guiding principles. Springer Science & Business Media

    Google Scholar 

  25. Green BN, Johnson CD, Adams A (2006) Writing narrative literature reviews for peer-reviewed journals: secrets of the trade. J Chiropractic Med 5:101–117

    Article  Google Scholar 

  26. Habib A, Shahidullah M, Ahmed D (2012) The Bangladesh cyclone preparedness program. A vital component of the nation’s multi-hazard early warning system. Institutional Partnerships in Multi-Hazard Early Warning Systems. Springer

    Google Scholar 

  27. Haigh R, Amartunga D, Hemachandra K (2018) A capacity analysis framework for multi-hazard early warning in coastal communities. Procedia Eng 212:1139–1146

    Article  Google Scholar 

  28. Harley MD, Valentini A, Armaroli C, Perini L, Calabrese L, Ciavola P (2016) Can an early-warning system help minimize the impacts of coastal storms? A case study of the 2012 Halloween storm, northern Italy. Nat Hazards and Earth Syst Sci 16:209–222

    Article  Google Scholar 

  29. Hasegawa N, Harada S., Tanaka S, Ogawa S, Goto A, Sasagawa Y, Washitake N (2012) Multi-hazard early warning system in Japan. In: Institutional partnerships in multi-hazard early warning systems. Springer

    Google Scholar 

  30. Healy A, Malhotra N (2009) Myopic voters and natural disaster policy. Am Polit Sci Rev 103:387–406

    Article  Google Scholar 

  31. Hemachandra K, Amaratunga D, Haigh R (2018) Role of women in disaster risk governance. Procedia Eng 212:1187–1194

    Article  Google Scholar 

  32. Hemachandra K, Haigh R, Amaratunga D (2019a) A regional analysis of the role of multi-hazard early warnings for coastal community resilience in Asia. In: The 9th international conference on sustainable built environment: transforming our built environment through innovation and integration. Springer, Singapore, pp 62–70

    Google Scholar 

  33. Hemachandra K, Haigh R, Amaratunga D (2019) Regional cooperation towards effective multi-hazard early warnings in Asia. Int J Adv Sci Eng Inf Technol 9:287–292

    Article  Google Scholar 

  34. IFRC (2009) World disasters report: focus on early warning, early actions. Int Federation of Red Cross, Satigny/Vernier, Switzerland

    Google Scholar 

  35. Ishiwatari M (2012) Government roles in community based disaster risk reduction. In: Shaw R (ed) Community-based disaster risk reduction. Emerald Group Publishing

    Google Scholar 

  36. Islam MR, Ingham V, Hicks J, Manock I (2014) The changing role of women in resilience, recovery and economic development at the intersection of recurrent disaster: a case study from Sirajgang, Bangladesh. J Asian Afr Stud

    Google Scholar 

  37. Jubach R, Tokar A (2016) International severe weather and flash flood hazard early warning systems—Leveraging coordination, cooperation, and partnerships through a hydrometeorological project in Southern Africa. Water 8:258

    Article  Google Scholar 

  38. Kadel M (2011) Community participation in disaster preparedness planning: a comparative study of nepal and Japan

    Google Scholar 

  39. Kelman I, Glantz MH (2014) Early warning systems defined. Early warning systems for climate change. Springer, Reducing disaster

    Book  Google Scholar 

  40. Lauterjung J, Münch U, Rudloff A (2010) The challenge of installing a tsunami early warning system in the vicinity of the Sunda Arc, Indonesia. Nat Hazards Earth Syst Sci 10:641

    Article  Google Scholar 

  41. Lumbroso D, Brown E, Ranger N (2016) Stakeholders’ perceptions of the overall effectiveness of early warning systems and risk assessments for weather-related hazards in Africa, the Caribbean, and South Asia. Nat Hazards 84:2121–2144

    Article  Google Scholar 

  42. Macherera M, Chimbari MJ (2016) A review of studies on community-based early warning systems. Jàmbá: J Disaster Risk Stud 8

    Google Scholar 

  43. Mayhorn CB, McLaughlin AC (2014) Warning the world of extreme events: a global perspective on risk communication for natural and technological disaster. Saf Sci 61:43–50

    Article  Google Scholar 

  44. Meerpoël M (n.d.) Disaster risk governance: the essential linkage between DRR and SDGs. France: Catholic University of Lille

    Google Scholar 

  45. Mukhtar R (2018). Review of national multi-hazard early warning system plan of Pakistan in context with sendai framework for disaster risk reduction. Procedia Eng 212:206–213

    Google Scholar 

  46. Paul BK (2009) Why relatively fewer people died? The case of Bangladesh’s Cyclone Sidr. Natural Hazards, 50:289–304

    Google Scholar 

  47. Pew Research Center For The People And The Press (2013) Trust in government nears record low, but most federal agencies are viewed favorably. [Online]. Available: http://www.people-press.org/2013/10/18/trust-in-governmentnears-record-low-but-most-federal-agencies-are-viewed-favorably/. Accessed 15 Sep 2016

  48. Renn O (2012) Inclusive risk governance. 2011–2012 Distinguish lecture series, environmental science and policy programme. Michigen State University

    Google Scholar 

  49. Rogers D, Tsirkunov V (2011a) Costs and benefits of early warning systems. Global Assess Rep

    Google Scholar 

  50. Rogers D, Tsirkunov V (2011b) Implementing hazard early warning systems. Global facility for disaster reduction and recovery

    Google Scholar 

  51. Scott Z, FEW R (2016) Strengthening capacities for disaster risk management: Insights from existing research and practice. Int J Disaster Risk Reduction, In Press

    Google Scholar 

  52. Seng DSC (2013) Tsunami resilience: multi-level institutional arrangements, architectures and system of governance for disaster risk preparedness in Indonesia. Environ Sci Policy 29:57–70

    Google Scholar 

  53. Shehara PLAI, Siriwardana CSA, Haigh R (2019) Application of social network analysis (SNA) to identify communication network associated with multi-hazard early warning (MHEW) in Sri Lanka. In: 2019 Moratuwa engineering research conference (MERCon), IEEE, pp 141–146

    Google Scholar 

  54. Strunz G, Post J, Zosseder K, Wegscheider S, Mück M, Riedlinger T, Mehl H, Dech S, Birkmann J, Gebert N (2011) Tsunami risk assessment in Indonesia. Nat Hazards and Earth Syst Sci 11:67–82

    Article  Google Scholar 

  55. Tang X, Feng L, Zou Y, Mu H (2012) The Shanghai multi-hazard early warning system: addressing the challenge of disaster risk reduction in an urban megalopolis. In: Institutional partnerships in multi-hazard early warning systems. Springer

    Google Scholar 

  56. Thomalla F, Larsen RK (2010) Resilience in the context of tsunami early warning systems and community disaster preparedness in the Indian Ocean region. Environ Hazards 9:249–265

    Article  Google Scholar 

  57. UN (2015) Sustainable Development Goals [Online]. UN- Sustainable Development Group. Available: https://sustainabledevelopment.un.org/?menu=1300 Accessed

  58. UN-ESCAP (2015) Strengthening regional multi-hazard early warning systems economic and social commission for Asia and the Pacific committee on disaster risk reduction fourth session Bangkok: economic and social commission for Asia and the Pacific

    Google Scholar 

  59. UNESCO-ICO; UN/ISDR/PPEW; WMO (2005) Assessment of capacity building requirements for an effective and durable tsunami warning and mitigation system in the Indian Ocean: consolidated report for 16 countries affected by the 26 December 2004 Tsunami Paris

    Google Scholar 

  60. UNFCCC (2015) Paris agreement

    Google Scholar 

  61. UNISDR (2005) Hyogo framework for action 2005–2015: building the resilience of nations and communities to disasters. In UNISDR (ed) Hyogo, Japan

    Google Scholar 

  62. UNISDR (2015) Sendai framework for disaster risk reduction 2015–2030. United Nations, Geneva Switzerland

    Google Scholar 

  63. UNISDR (2017) UNISDR terminology on disaster risk reduction. Switzerland, Geneva

    Google Scholar 

  64. Valenzuela M, Gangai J (2008) 2008. Coastal Geofirm Tools for Coastal Risk Identification, Solutions to Coastal Disasters

    Google Scholar 

  65. WMO (2016) Multi-hazard early warning systems (MHEWS) [Online]. Available: http://www.wmo.int/pages/prog/drr/projects/Thematic/MHEWS/MHEWS_en.html-presentations. Accessed

  66. WMO (2017) Good practices for multi-hazard early warning systems (EWS) [Online]. Available: https://public.wmo.int/en/resources/meteoworld/good-practices-multi-hazard-early-warning-systems-ews. Accessed 17 Feb 2017

  67. WMO (2018) Multi-hazard early warning systems: a checklist. World Meteorological Organization, Geneva, Switzerland

    Google Scholar 

  68. Zia A, Wagner CH (2015) Mainstreaming early warning systems in development and planning processes: Multilevel implementation of Sendai framework in Indus and Sahel. Int J Disaster Risk Sci 6:189–199

    Article  Google Scholar 

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Acknowledgements

The European Commission support for the production of this publication as a product of CABARET project and the Commission does not constitute an endorsement of the contents which reflects the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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Authors and Affiliations

  1. University of Huddersfield, GDRC, School of Applied Sciences, Queensgate, Huddersfield, HD1 3DH, UK

    K. Hemachandra, R. Haigh & D. Amaratunga

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  1. K. Hemachandra
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  2. R. Haigh
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  3. D. Amaratunga
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Correspondence to K. Hemachandra .

Editor information

Editors and Affiliations

  1. Department of Civil Engineering, University of Peradeniya, Kandy, Sri Lanka

    Ranjith Dissanayake

  2. Department of Infrastructure Engineering, University of Melbourne, Parkville, VIC, Australia

    Priyan Mendis

  3. Department of Civil Engineering, The Open University of Sri Lanka, Nugegoda, Sri Lanka

    Kolita Weerasekera

  4. Department of Civil and Environmental Engineering, University of Ruhuna, Galle, Sri Lanka

    Sudhira De Silva

  5. Civil and Structural Engineering Consultants (Pvt) Ltd., Rajagiriya, Colombo, Sri Lanka

    Shiromal Fernando

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Hemachandra, K., Haigh, R., Amaratunga, D. (2021). Enablers for Effective Multi-hazard Early Warning System: A Literature Review. In: Dissanayake, R., Mendis, P., Weerasekera, K., De Silva, S., Fernando, S. (eds) ICSECM 2019. Lecture Notes in Civil Engineering, vol 94. Springer, Singapore. https://doi.org/10.1007/978-981-15-7222-7_33

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  • DOI: https://doi.org/10.1007/978-981-15-7222-7_33

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