Early Warning Systems: Lost in Translation or Late by Definition? A FORIN Approach
Irasema Alcántara-Ayala , Anthony Oliver-Smith
International Journal of Disaster Risk Science ›› 2019, Vol. 10 ›› Issue (3) : 317 -331.
Early warning systems (EWSs) are widely considered to be one of the most important mechanisms to prevent disasters around the globe. But as disasters continue to affect countries where EWSs have already been implemented, the striking disaster consequences have led us to reflect on the focus, architecture, and function of the warning systems. Since the 2004 Indian Ocean tsunami there has been a rapid rise in the promotion and use of EWSs to minimize disaster losses and damage. However, few researchers have addressed the question of their acceptability as an adaptive measure to the existing exposure conditions. EWSs are far more linked to emergency response and humanitarian crises and accepted technological interventions as solutions than they are to explicitly advance integrated analysis, disaster risk reduction, and policy making. A major flaw of EWSs is that the term “early” has been essentially used in reference to the speed of hazard onset, founded on a physicalist perspective that has encouraged a considerable dependence on technology. In this article we address the need for a clear understanding of the root causes and risk drivers of disaster risk creation, as advanced in the FORIN (forensic investigation of disasters) approach, as a prerequisite for the development of more articulated EWSs that could contribute to disaster risk reduction through policy making and practice, based on integrated and transdisciplinary management, in the interest of sustainable development, and human welfare and well-being.
Disaster risk drivers / Disaster root causes / Early warning systems / Forensic disaster investigations / FORIN
| [1] |
ABC. 2018. Indonesia tsunami early detection buoys haven’t worked for six years due to “lack of funding”. https://www.abc.net.au/news/2018-10-01/indonesia-tsunami-early-detection-buoys-broken-for-six-years/10324200. Accessed 22 Apr 2019. |
| [2] |
|
| [3] |
|
| [4] |
|
| [5] |
Alcántara-Ayala, I., O. Altan, D. Baker, S. Briceño, S. Cutter, H. Gupta, A. Holloway, A. Ismail-Zadeh, et al. 2015. Disaster risks research and assessment to promote risk reduction and management, ICSU-ISSC Ad Hoc Group on disaster risk assessment, ed. A. Ismail-Zadeh, and S. Cutter. Paris: ICSU. http://www.icsu.org/science-for-policy/disaster-risk/documents/DRRsynthesisPaper_2015.pdf. Accessed 28 Sept 2018. |
| [6] |
|
| [7] |
Benadusi, M., and S. Revet (eds.). 2016. On the witness stand: Environment crises, disasters and social justice. Archivio Antropologico Mediterraneo on Line—Anno XIX (2016), n. 18(2). |
| [8] |
|
| [9] |
|
| [10] |
|
| [11] |
|
| [12] |
|
| [13] |
|
| [14] |
|
| [15] |
|
| [16] |
|
| [17] |
|
| [18] |
|
| [19] |
|
| [20] |
|
| [21] |
|
| [22] |
|
| [23] |
|
| [24] |
|
| [25] |
|
| [26] |
|
| [27] |
CRED (Centre for Research on the Epidemiology of Disasters). 2015. EM-DAT (Emergency Events Database). CRED, Université catholique de Louvain, Belgium. http://emdat.be/human_cost_natdis. Accessed 22 Apr 2019. |
| [28] |
CRED (Centre for Research on the Epidemiology of Disasters). 2019. EM-DAT (Emergency Events Database). CRED, Université catholique de Louvain, Belgium. https://www.emdat.be/database. Accessed 22 Apr 2019. |
| [29] |
|
| [30] |
|
| [31] |
|
| [32] |
Eiser, J.R. 2004. Public perception of risk. Report prepared for Foresight Office of Science and Technology, London. |
| [33] |
|
| [34] |
|
| [35] |
Faustino-Eslava, D.V. 2013. Predictive forensics for averting possible disasters: A FORIN template for tackling issues related to the Valley Fault System and the Angat Dam in Luzon, Philippines. FORIN report. Laguna, Philippines: University of the Philippines, Los Banos. |
| [36] |
FEWS NET (Famine Early Warning Systems Network). 2019. FEWS NET homepage. http://fews.net/. Accessed 28 Sept 2018. |
| [37] |
Geaghan, K.A. 2011. Forced to move: An analysis of Hurricane Katrina movers 2009 American housing survey: New Orleans. SEHSD working paper number 2011–17, U.S. Census Bureau. |
| [38] |
|
| [39] |
|
| [40] |
|
| [41] |
Hewitt, K., and I. Burton. 1971. The hazardousness of a place: A regional ecology of damaging events. Research Publication 6, Department of Geography, University of Toronto, Toronto, Canada. |
| [42] |
|
| [43] |
IRDR (Integrated Research on Disaster Risk). 2013. Integrated research on disaster risk strategic plan 2013–2017, Beijing, China. http://www.irdrinternational.org/wp-content/uploads/2013/04/IRDR-Strategic-Plan-2013-2017.pdf. Accessed 3 Sept 2019. |
| [44] |
|
| [45] |
Kim, J.J., and D. Guha-Sapir. 2012. Famines in Africa: Is early warning early enough? Global Health Action 5: Article 18481. |
| [46] |
|
| [47] |
Lauta, K.C. 2018. Disasters and responsibility. Normative issues for law following disasters. In: Disasters: Core concepts and ethical theories, ed. D. O’Mathúna, V. Dranseika, and B. Gordijn. Advancing Global Bioethics, vol. 11. Cham: Springer. |
| [48] |
Lavell, A. 2004. LA RED: Background, training and contribution to the development of concepts, studies and practice in disaster risk and disasters in Latin America: 1980–2004 (La Red: Antecedentes, formación y contribución al desarrollo de los conceptos, estudios y la práctica en el tema de los riesgos y desastres en América Latina: 1980–2004). Panamá: La Red de Estudios Sociales en Prevención de Desastres en América Latina (in Spanish). |
| [49] |
Lavell, A., and A. Brenes. 2019. Forensic analysis of the conditions of disaster risk in the 2018 Volcano of Fire (Volcán de Fuego) eruption. Opportunities for the strengthening of disaster risk management in Guatemala: A Study for the World Bank (preliminary version). |
| [50] |
|
| [51] |
Maskrey, A. (ed.). 1993. Disasters are not natural (Los desastres no son naturales). La Red de Estudios Sociales en Prevención de Desastres en América Latina, LA RED, Bogotá: Tercer Mundo Editores (in Spanish). |
| [52] |
Nall, W., and H. Josserand. 1996. The USAID famine early warning system as an “information system”. In Systèmes d’information et questions de développement, ed. J.P. Minvielle. Cahiers de Sciences Humaines 32(4): 903–911. |
| [53] |
|
| [54] |
|
| [55] |
|
| [56] |
Oliver-Smith, A. 2006. Disasters and forced migration in the 21st century. http://understandingkatrina.ssrc.org/Oliver-Smith/. Accessed 28 Sept 2018. |
| [57] |
Oliver-Smith, A., I. Alcántara-Ayala, I. Burton, and A. Lavell. 2016. Forensic Investigations of Disasters (FORIN): A conceptual framework and guide to research. IRDR FORIN publication No. 2. Beijing: Integrated Research on Disaster Risk, ICSU. http://www.irdrinternational.org/wp-content/uploads/2016/01/FORIN-21.pdf. Accessed 28 Sept 2018. |
| [58] |
Oliver-Smith, A., I. Alcántara-Ayala, I. Burton, and A. Lavell. 2017a. Forensic Investigations of Disaster (FORIN): Towards the understanding of root causes of disasters. Policy brief. Beijing: Integrated Research on Disaster Risk, ICSU. |
| [59] |
|
| [60] |
|
| [61] |
|
| [62] |
|
| [63] |
|
| [64] |
Rogers, D., and V. Tsirkunov. 2011. Implementing hazard early warning systems. GFDRR WCIDS Report 11-03. https://www.preventionweb.net/files/24259_implementingearlywarningsystems1108.pdf. Accessed 17 Apr 2019. |
| [65] |
|
| [66] |
|
| [67] |
Save the Children-UK The household economy approach: A resource manual for practitioners, 2000, London: Save the Children-UK |
| [68] |
|
| [69] |
|
| [70] |
|
| [71] |
|
| [72] |
UNESCO (United Nations Educational, Scientific and Cultural Organization) Information guide: Tsunami early warning for broadcasting institutions in Indonesia, 2012, Pairs: UNESCO |
| [73] |
UNISDR (United Nations International Strategy for Disaster Reduction). 2005. Hyogo framework for action 2005–2015: Building the resilience of nations and communities to disasters. Geneva: UNISDR. https://www.unisdr.org/files/1037_hyogoframeworkforactionenglish.pdf Accessed 14 Apr 2019. |
| [74] |
UNISDR (United Nations International Strategy for Disaster Reduction). 2009. Terminology on disaster risk reduction. http://www.unisdr.org/files/7817_UNISDRTerminologyEnglish.pdf. Accessed 14 Apr 2019. |
| [75] |
UNISDR (United Nations International Strategy for Disaster Reduction). 2015. Sendai framework for disaster risk reduction 2015–2030. Geneva: UNISDR. http://www.preventionweb.net/files/43291_sendaiframeworkfordrren.pdf. Accessed 17 Apr 2019. |
| [76] |
UNISDR (United Nations International Strategy for Disaster Reduction). 2017. Report of the open-ended intergovernmental expert working group on indicators and terminology relating to disaster risk reduction. Geneva: UNISDR. https://www.preventionweb.net/files/50683_oiewgreportenglish.pdf. Accessed 14 Apr 2019. |
| [77] |
UNISDR (United Nations International Strategy for Disaster Reduction). 2018. Sendai framework anniversary: Reporting underway. https://www.unisdr.org/archive/57495 Accessed 14 Apr 2019. |
| [78] |
United Nations. 1994. Yokohama strategy and plan of action for a safer world: Guidelines for natural disaster prevention, preparedness and mitigation. New York: United Nations. http://www.unisdr.org/we/inform/publications/8241. Accessed 28 Sept 2018. |
| [79] |
|
| [80] |
|
| [81] |
|
| [82] |
Wiltshire, A. 2006. Developing early warning systems: A checklist. In Proceedings of the 3rd International Conference on Early Warning (EWC III), 27–29 March 2006, Bonn, Germany. |
| [83] |
WMO (World Meteorological Organization). 2006. Outcome report. Symposium on multi-hazard early warning systems for integrated disaster risk management, 23–24 May 2006, Geneva, Switzerland. |
| [84] |
|
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