Abstract
This chapter presents an assessment of the effectiveness of the tropical cyclone early warning system (EWS) in Zimbabwe, with a special focus on Cyclone Idai, which affected the country in March 2019. The study used a household questionnaire survey, interviews, field observations and official documents to identify gaps in major components of the EWS value chain, which contributed to the dysfunction of the EWS, resulting in fatalities, loss and damage of property and infrastructure. Lack of risk knowledge, poor instrumentation for accurate forecasting and nowcasting, weak institutional coordination and inadequate resources—that hinder critical government institutions from executing their mandates in the system—and poor early warning communication are some of the identified factors that contributed to the dysfunction of the EWS. The study proposes a set of enabling conditions, as corrective measures to improve all the EWS components. The private sector is an underutilised actor in the EWS, and we recommend that, rather than engaging the private sector in the post-disaster response, the private sector needs to be incorporated in pre-disaster EWS activities. A people-centred, impact-based and multi-hazard EWS, which is founded on shared resources, risk knowledge and expertise, should be considered. Further research may focus on a cost-benefit analysis of the EWS, to provide an evidence base to inform decisions in EWS investment and strategies.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Basher, R. (2006). Global early warning systems for natural hazards: Systematic and people-centered. Philosophical Transactions of the Royal Society, 364(1845), 2167–2182.
Baudoin, M., Henly-Shepard, S., Fernando, N., Sitati, A., & Zommers, Z. (2014). Early warning systems and livelihood resilience: Exploring opportunities for community participation. United Nations University Institute of Environment and Human Security (UNU-EHS).
Chmutina, K., Von Meding, J., & Bosher, L. (2019). Language matters: Dangers of the “Natural Disaster” misnomer. Contributing paper to Global Assessment Report (GAR). PreventionWeb. Retrieved March 3, 2020, from https://www.preventionweb.net/publications/view/65974
Collins, A., Maunder, N., McNabb, M., Moorhead, A., & Van Aalst, M. (2009). World disasters report: Focus on early warning, early action. International Federation of Red Cross and Red Crescent Societies.
Cools, J., Innocenti, D., & O’Brien, S. (2016). Lessons from flood early warning systems. Environmental Science & Policy, 58, 117–122. https://doi.org/10.1016/j.envsci.2016.01.006
Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods approaches. Sage.
DasGupta, R., & Shaw, R. (2017). Disaster risk reduction: A critical approach. In I. Kelman, J. Mercer, & J. C. Gaillard (Eds.), The Routledge handbook of disaster risk reduction including climate change adaptation (pp. 12–23). Routledge.
de León, J. C. V., Bogardi, J., Dannenmann, S., & Basher, R. (2006). Early warning systems in the context of disaster risk management. Entwicklung and Ländlicher Raum, 2, 23–25. http://www.rural21.com/fileadmin/_migrated/content_uploads/ELR_Early_warning_systems...0107.pdf
Gaillard, J. C., & Mercer, J. (2013). From knowledge to action: Bridging gaps in disaster risk reduction. Progress in Human Geography, 37(1), 93–114.
Glantz, M. (2004). Early warning systems: do’s and don’ts. Report of workshop, 20–23 October 2003, Shanghai. Retrieved December 5, 2019, from https://ilankelman.org/glantz/Glantz2003Shanghai.pdf
Golnaraghi, M. (2012). Institutional partnerships in multi-hazard early warning systems: A compilation of seven national good practices and guiding principles. Springer.
Gwimbi, P. (2007). The effectiveness of early warning systems for the reduction of flood disasters: Some experiences from cyclone induced floods in Zimbabwe. Journal of Sustainable Development in Africa, 9(4), 152–169.
Rogers, D., & Tsirkunov, V. (2011a). Implementing hazard early warning systems. Report. Global Facility for Disaster Reduction and Recovery. Retrieved February 28, 2020, from https://www.preventionweb.net/files/24259_implementingearlywarningsystems1108.pdf
Rogers, D., & Tsirkunov, V. (2011b). Costs and benefits of early warning systems. Global assessment report on disaster risk reduction. The World Bank. Retrieved February 28, 2020, from https://www.preventionweb.net/english/hyogo/gar/2011/en/bgdocs/Rogers_&_Tsirkunov_2011.pdf
Smith, P. J., Brown, S., & Dugar, S. (2017). Community-based early warning systems for flood risk mitigation in Nepal. Natural Hazards and Earth System Sciences, 17, 423–437. https://doi.org/10.5194/nhess-17-423-2017
Tashakkori, A., & Teddlie, C. (2010). Sage handbook of mixed methods in social & behavioral research. Sage. https://doi.org/10.4135/9781506335193
Trogrlić, R. Š., Wright, G. B., Adeloye, A. J., Duncan, M. J., & Mwale, F. (2018). Taking stock of community-based flood risk management in Malawi: Different stakeholders, different perspectives. Environmental Hazards, 17(2), 107–127.
UN. (2016). Report of the open-ended intergovernmental expert working group on indicators and terminology relating to disaster risk reduction. Report. United Nation General Assembly. Retrieved December 10, 2019, from https://www.preventionweb.net/files/50683_oiewgreportenglish.pdf.
UNDRR. (2015). Proposed updated terminology on disaster risk reduction: a technical review. Background paper. United Nations Office for Disaster Risk Reduction. Retrieved December 10, 2019, from https://unisdr.org/files/45462_backgroundpaperonterminologyaugust20.pdf
UNEP. (2015). Early warning as a human right: Building resilience to climate-related hazards. Resource document. United Nations Environment Programme. Retrieved December 10, 2019, from https://wedocs.unep.org/bitstream/handle/20.500.11822/7429/-Early_Warning_as_a_Human_Right_Building_Resilience_to_Climate-related_Hazards-2015Early-Warning-As-A-HumanRight-Building-Resilience-For-Climate-Rela.pdf
UNISDR. (2009). Terminology on disaster risk reduction. Resource document. United Nations International Strategy for Disaster Reduction. Retrieved December 10, 2019, from https://www.preventionweb.net/files/7817_UNISDRTerminologyEnglish.pdf
WMO. (2008). Capacity assessment of national meteorological and hydrological services in support of disaster risk reduction: Analysis of the 2006 WMO disaster risk reduction country-level survey. Country report. World Meteorological Organisation. Retrieved December 10, 2019, from https://www.wmo.int/pages/prog/drr/documents/CR/CountryReport.pdf
WMO. (2018). Multi-hazard early warning system: a checklist. Outcome of the first multi-hazard early warning conference 22–23 May 2017 - Cancún, Mexico Geneva. Conference Report. World Meteorological Organisation. Retrieved December 10, 2019, from https://library.wmo.int/doc_num.php?explnum_id=4463
WMO. (2019). Reducing vulnerability to extreme hydro-meteorological hazards in Mozambique after cyclone IDAI: WMO mission report following tropical cyclone IDAI (29 April–7 May 2019). Report. World Meteorological Organisation. Retrieved December 10, 2019, from https://library.wmo.int/doc_num.php?explnum_id=6259
Zommers, Z., Lumbroso, D., Cowell, R., Sitati, A., & Vogel, E. (2017). Early warning systems for disaster risk reduction including climate change adaptation. In I. Kelman, J. Mercer, & J. C. Gaillard (Eds.), The Routledge handbook of disaster risk reduction including climate change adaptation (pp. 428–443). Routledge.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Khoza, S., Nhamo, G. (2021). Revisiting Zimbabwe’s Early Warning Systems in the Light of Tropical Cyclone Idai. In: Nhamo, G., Dube, K. (eds) Cyclones in Southern Africa. Sustainable Development Goals Series. Springer, Cham. https://doi.org/10.1007/978-3-030-74262-1_4
Download citation
DOI: https://doi.org/10.1007/978-3-030-74262-1_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-74261-4
Online ISBN: 978-3-030-74262-1
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)