Strengthening Namibia’s Flood Early Warning System through a Critical Gap Analysis
Abstract
:1. Introduction
1.1. Flood Early Warning Systems: A Literature Review
1.2. Flood Early Warning in Namibia
2. Materials and Methods
2.1. Study Area Description
2.2. Data Collection and Analysis
3. Results
3.1. Governance
“We do the monitoring and forecasting with rainfall and climate data from MSN. However, I would not say we are in charge of the FEWS. We simply provide the DDRM with this information, and they make all the decisions. They say we are in charge, but our role is advisory; we don’t make any decisions.”
“We serve a coordinating role; we bring everyone together when a disaster has been declared. We validate and issue warnings via the Ministry of ICT, but the day-to-day running of the system happens at the MAWF. We are only active when it is a national disaster.”
“As a nation, we do not really understand the concept of disaster management. For instance, this region is the most affected by floods, but we do not have a DRM department; we only have one official for DRM and one at the constituency office. Sometimes people even wonder why I am here; I am only active during the flood season.”
“We have to wait for the MAWF to send us forecasts; sometimes, this is delayed. But it helps that we know each other, so we can call each other directly and intervene even if the official information is delayed.”
“We only receive money for response efforts, which is not enough. You have to justify every request for funding; if it is not viewed as pressing, it is not approved. So we may plan for community outreach for preparedness training and so forth because these floods occur annually, but if there is no flood, there is no problem. Our hands are tied.”
“We do budget allocations at the national level, yes. Regional and local authorities need to motivate funding. Currently, the budget for DRM activities is quite limited, but we are working on it. For now, these authorities just need to tap into their operational budgets.”
3.2. Risk Knowledge
“I do not know much about Kabbe or the trends in risk or vulnerability; I know that it is above the red line and is the most flood-impacted area in the country, but I do not know anything more about it.”
“A big flood is always expected every ten years or so; we expect them and prepare. In 2009, the flood was bigger than expected, but we had prepared. In 2011, we expected the floods, but many of us had nowhere to go. The channels were still filled with water from the floods in 2009 and 2010. We know how water behaves, we know what to do, but sometimes it is not enough.”
“The ones close to the river usually get hit the hardest, and then the water starts flowing down to this side. We gather children, sick, old and blind people and move to some mounds on the higher ground. Even though Kabbe is flat, there are elevated areas where we seek refuge if water levels in the village are high.”
3.3. Monitoring, Warning Communication and Dissemination
“Our forecasting capacity is relatively low, as we only rely on rainfall data. We require particular kinds of software to run specific models and to be able to calculate inundation levels, impact the extent and so forth, and we just do not have money for it. We also do not have qualified personnel to operate these systems, so there are a lot of issues.”
“The MAWF does the monitoring. Unfortunately, there’s no formal relationship between our system and residents to monitor. However, they conduct monitoring themselves and share this information among themselves and with the Red Cross. They have my details; sometimes, they will inform me that water levels have risen by this much during the last hour, so it helps.”
“We do our own forecasting and monitoring using traditional methods and colour sticks given to us by the red cross. We even make our own, and sometimes we call the councillor’s office to inform them.”
“We don’t always receive official warnings because very few can afford to keep a surplus of radio batteries at all times; some do not even have radios. Electricity is limited, and not many have cell phones.”
“Sometimes government officials drive through the villages, informing us that water levels are rising and we should evacuate to the upper lands or relocation camps. They do not take us there or send assistance. They announce this and leave.”
3.4. Response Capability
“We have response plans, but only at the national and regional level. These are only activated depending on the flood magnitude. The Regional DRMC would usually activate their plan during the rainfall season. They cater to the communities in Kabbe.
“We have a response plan, but no drills and simulations are conducted. We simply do not have the budget, even though it is important. Our response plan is not for the constituency or community level; we improvise.”
“Sometimes, the government officials come here to tell us to prepare before the flood and to evacuate. They have a boat that transports us to Katima because we get cut off, but other than that, they only come during elections.”
“It is not that we do not consider the poverty in the area; the people that make decisions higher up do not know Kabbe. They look at a map, see it is a small area, and wonder why we are requesting all these funds; it seems ludicrous. Especially when a flood has not occurred yet, and unfortunately, the people suffer.”
3.5. Overall System Efficacy
4. Discussion
4.1. Current Status of the Flood Early Warning System in Kabbe, Namibia
4.1.1. Governance
4.1.2. Risk Knowledge
4.1.3. Monitoring and Forecasting
4.1.4. Warning Dissemination
4.1.5. Response Capabilities
4.1.6. Identified FEWS Gaps and Recommendations
4.2. Study Limitations
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Centre for Research on Epidemiology of Disasters Emergency Event Database. Disasters: Year in Review 2021. Cred Crunch 2022. [Google Scholar] [CrossRef]
- UNDRR. Global Natural Disaster Assessment Report 2019. UN Annual Reports. 2020, pp. 1–45. Available online: https://www.preventionweb.net/files/73363_2019globalnaturaldisasterassessment.pdf (accessed on 10 September 2022).
- IFRC. African Floods; IFRC: Geneva, Switzerland, 2021. [Google Scholar]
- ADRREM. 2019 Global Natural Disaster Assessment Report; ADRREM: Beijing, China, 2020; p. 45. [Google Scholar]
- Van Aalst, M.K. The impacts of climate change on Africa. Human-Induced Clim. Chang. An Interdiscip. Assess. 2007, 9780521866, 161–166. [Google Scholar] [CrossRef]
- Gupta, A.K.; Nair, S.S. Environmental Extremes: Disaster Risk Management-Addressing Climate Change; National Institute of Disaster Management: New Delhi, India, 2012; Volume 1, ISBN 9788192433653. [Google Scholar]
- Perera, D.; Seidou, O.; Agnihotri, J.; Rasmy, M.; Smakhtin, V.; Coulibaly, P.; Mehmood, H. Flood Early Warning Systems: A Review Of Benefits, Challenges and Prospects 08. UNU-INWEH Report Series, Issue 08. 2019. Available online: http://inweh.unu.edu/publications/ (accessed on 11 July 2022).
- Schanze, J.; Zeman, E.; Marsalek, J. Flood Risk Management: Hazards, Vulnerability and Mitigation Measures; DHI Hydroinform a.s.: Prague, Czech Republic, 2006; ISBN 9781402045974. [Google Scholar]
- Kron, W.; Eichner, J.; Kundzewicz, Z.W. Reduction of flood risk in Europe—Reflections from a reinsurance perspective. J. Hydrol. 2019, 576, 197–209. [Google Scholar] [CrossRef]
- Allen, K.M. Meanings and Constraints: Processes Shaping Vulnerability Reduction in Philippine National Red Cross Disaster Preparedness Initiatives. Ph.D. Thesis, Middlesex University, London, England, 2003. [Google Scholar]
- Merz, B.; Hall, J.; Disse, M.; Schumann, A. Fluvial flood risk management in a changing world. Nat. Hazards Earth Syst. Sci. 2010, 10, 509–527. [Google Scholar] [CrossRef] [Green Version]
- United Nations Office for Disaster Risk Reduction. Sendai Framework for Disaster Risk Reduction 2015–2030; UNISDR: Geneva, Switzerland, 2015. [Google Scholar]
- Pitcher, G. Hitting the targets. New Electron. 2007, 40, 33–34. [Google Scholar]
- Golnaraghi, M. Institutional Partnerships in Multi-Hazard Early Warning Systems; Springer: Berlin, Germany, 2012; pp. 1–7. [Google Scholar] [CrossRef]
- Douris, J.; Warning, E.; Wise, R.; Rose, T. Early Warning Systems Saves Millions of Lives; Springer Verlag Publishers: Geneva, Switzerland, 2012. [Google Scholar]
- Hammood, W.A.; Arshah, R.A.; Asmara, S.M.; Al Halbusi, H.; Hammood, O.A.; Al Abri, S. A systematic review on flood early warning and response system (FEWRS): A deep review and analysis. Sustainability 2021, 13, 440. [Google Scholar] [CrossRef]
- Milanés, C.; Batista, Á.R.; Núñez, R.A.; Yero, H.T. Development of a mobile application for Early Warning Systems and risk management in Cuba. IOP Conf. Ser. Mater. Sci. Eng. 2021, 1154, 012005. [Google Scholar] [CrossRef]
- Ibarreche, J.; Aquino, R.; Edwards, R.M.; Rangel, V.; Pérez, I.; Martínez, M.; Castellanos, E.; Álvarez, E.; Jimenez, S.; Rentería, R.; et al. Flash flood early warning system in colima, mexico. Sensors 2020, 20, 5231. [Google Scholar] [CrossRef]
- Liu, Y.; Zhang, J.; Zhao, Y. The risk assessment of riverwater pollution based on a modified non-linear model. Water 2018, 10, 362. [Google Scholar] [CrossRef] [Green Version]
- Hoedjes, J.C.B.; Kooiman, A.; Maathuis, B.H.P.; Said, M.Y.; Becht, R.; Limo, A.; Mumo, M.; Nduhiu-Mathenge, J.; Shaka, A.; Su, B. A conceptual flash flood early warning system for Africa, based on terrestrial microwave links and flash flood guidance. ISPRS Int. J. Geo-Inf. 2014, 3, 584–598. [Google Scholar] [CrossRef]
- Andersen, J.E.; Jenkins, P.; Nielsen, M. Who plans the African city? A case study of Maputo: Part 1 -the structural context. Int. Dev. Plan. Rev. 2015, 37, 329–350. [Google Scholar] [CrossRef]
- Hamilton, R.; Stephen, G.; Robert, T. Early Warning Capabilities for Geological hazards. In Landslides; United Nations: Geneva, Switzerland, 1997. [Google Scholar]
- Alfieri, L.; Cohen, S.; Galantowicz, J.; Schumann, G.J.P.; Trigg, M.A.; Zsoter, E.; Prudhomme, C.; Kruczkiewicz, A.; Coughlan de Perez, E.; Flamig, Z.; et al. A global network for operational flood risk reduction. Environ. Sci. Policy 2018, 84, 149–158. [Google Scholar] [CrossRef]
- Garcia, C.; Fearnley, C.J. Evaluating Critical Links in Early Warning Systems for Natural Hazards Evaluating critical links in early warning systems for natural hazards. Environ. Hazards 2012, 2, 123–137. [Google Scholar] [CrossRef]
- Mavhura, E.; Manyena, S.B.; Collins, A.E.; Manatsa, D. Indigenous knowledge, coping strategies and resilience to floods in Muzarabani, Zimbabwe. Int. J. Disaster Risk Reduct. 2013, 5, 38–48. [Google Scholar] [CrossRef]
- Sorensen, J.H. Hazard warning systems. Natural Hazards 2000, 1, 119–125. [Google Scholar] [CrossRef] [Green Version]
- Karanth, A. Review Of Early Warning System in Bhubaneshwar, Gangtok, Madurai, Navi Mumbai, Shimla, Thiruvananthapuram and Visakhapatnam; Taru Leading Edge Pvt. Ltd.: Mumbai, India, 2014. [Google Scholar]
- Gaillard, J.C.; Mercer, J. From knowledge to action: Bridging gaps in disaster risk reduction. Prog. Hum. Geogr. 2012, 37, 93–114. [Google Scholar] [CrossRef]
- Basher, R.; Page, J.; Woo, J.; Davies, M.L.; Synolakis, C.E.; Farnsworth, A.F.; Steacey, S. Global early warning systems for natural hazards: Systematic and people-centred. Philos. Trans. R. Soc. A Math. Phys. Eng. Sci. 2006, 364, 2167–2182. [Google Scholar] [CrossRef]
- Sahajwala, R.; Van den Bergh, P. Supervisory Risk Assessment and Early Warning Systems; Bank for International Settlements: Basel, Switzerland, 2000. [Google Scholar]
- Villagrán de León, J.C.; Bogardi, J.; Dannenmann, S.; Basher, R. Early Warning Systems in the context of Disaster Risk Management. Entwickl. Ländlicher Raum 2006, 2, 23–25. [Google Scholar]
- Dutta, R.; Basnayake, S.; Ahmed, A.K. Assessing Gaps and Strengthening Early Warning System to Manage Disasters in Cambodia. J. Integr. Disaster Risk Manag. 2015, 5, 167–175. [Google Scholar] [CrossRef]
- Demeritt, D.; Nobert, S. Models of best practice in flood risk communication and management. Environ. Hazards 2014, 13, 313–328. [Google Scholar] [CrossRef] [Green Version]
- Cools, J.; Innocenti, D.; O’Brien, S. Lessons from flood early warning systems. Environ. Sci. Policy 2016, 58, 117–122. [Google Scholar] [CrossRef]
- Dutta, R.; Basnayake, S. Gap assessment towards strengthening early warning systems. Int. J. Disaster Resil. Built Environ. 2018, 9, 198–215. [Google Scholar] [CrossRef]
- Lendelvo, S.M.; Angula, M.N.; Mfune, J.K.E. Indigenous knowledge used in the management of human–wildlife conflict along the borders of the Etosha National Park. Indig. Knowl. Namibia 2019, 16, 219–240. [Google Scholar] [CrossRef] [Green Version]
- Ministry of Agriculture Water and Forestry. Development of an Integrated Water Resources Management Plan: Zambezi-Kwando-Linyati River Basin; Ministry of Agriculture Water and Forestry: Windhoek, Namibia, 2010; Volume 4. [Google Scholar]
- Mandl, D.; Frye, S.; Sohlberg, R.; Cappelaere, P.; Handy, M.; Grossman, R. The Namibia Early Flood Warning System, a CEOS pilot project. In Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, Munich, Germany, 22–27 July 2012; pp. 3521–3524. [Google Scholar] [CrossRef] [Green Version]
- Hosseini-Boroujeni, S.M. Post Disaster Needs Assessment (PDNA). J. Disaster Emerg. Res. 2019, 1, 1–96. [Google Scholar] [CrossRef]
- Mabuku, M.P.; Senzanje, A.; Mudhara, M.; Jewitt, G.; Mulwafu, W. Rural households’ flood preparedness and social determinants in Mwandi district of Zambia and Eastern Zambezi Region of Namibia. Int. J. Disaster Risk Reduct. 2018, 28, 284–297. [Google Scholar] [CrossRef]
- Mushabati, L.F. Flood Risk Perceptions and Coping Strategies of Residents inthe Kabbe Constituency of the Zambezi Region, Namibia. Tetrahedron Lett. 2014, 55, 3909. [Google Scholar]
- Mashebe, P. Impacts of Floods on the Livelihoods of People Residing in Flood Prone Areas: A case of the Luhonono Community of the Zambezi Region of Namibia; University of the Free state: Bloemfontein, South Africa, 2015. [Google Scholar]
- Shaamhula, L.; Siyambango, N.; Van Rooy, G. Views From the Frontline: Report on Community Perceptions on Disaster Management in the Caprivi Region; University of Namibia: Windhoek, Namibia, 2012. [Google Scholar]
- Disaster Risk Management Act 10 of Namibia. Disaster Risk Management Act 10 of 2012. 2012, Volume 2012. Available online: https://www.lac.org.na/laws/annoSTAT/Disaster%20Risk%20Management%20Act%2010%20of%202012.pdf (accessed on 1 July 2022).
- Mendelsohn, J. A Digest of Key Information on Key Aspects of Caprivi’s Gerography. 2007. Available online: https://www.google.com.hk/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&cad=rja&uact=8&ved=2ahUKEwihvoah_Yf8AhUYsFYBHc9BDGoQFnoECBAQAQ&url=https%3A%2F%2Fwww.raison.com.na%2Fsites%2Fdefault%2Ffiles%2FCaprivi%2520region%2520-%2520a%2520digest%2520of%2520key%2520information.pdf&usg=AOvVaw0R0uQ-KOA5r_Q_3XemYopN (accessed on 23 September 2022).
- Mendelsohn, J.; Roberts, C. An Environmental Atlas and Profile of the Caprivi; Directorate of Environmental Affairs: Windhoek, Namibia, 1997. [Google Scholar]
- Namibia Statistics Agency. Zambezi 2011: Census Regional Profile; NSA: Windhoek, Namibia, 2011; Volume 4. [Google Scholar]
- UNDRR. United Nations Office for Disaster Risk Reduction to Download the Full Report Visit. 2019. Available online: https://gar.unisdr.org (accessed on 1 July 2022).
- IFRC. Disaster: How the Red Cross Red Crescent reduces risk. In International Federation of Red Cross and Red Crescent Societies; IFRC: Geneva, Switzerland, 2009; Volume 34, pp. 1–114. [Google Scholar]
- Government Republic of Namibia. Post Disaster Needs Assessment for Namibia; GRN: Windhoek, Namibia, 2009. [Google Scholar]
- Cross, R. Namibia: Floods; IFRC: Geneva, Switzerland, 2010; Volume 518. [Google Scholar]
- Nyambe, J.M.; Belete, A. Assessing Climate Risk to Improve Incomes of rural farming households in the Caprivi Region, Namibia. Glob. J. Sci. Front. Res. Agric. Vet. Sci. 2013, 13. Available online: http://hdl.handle.net/11070/2893 (accessed on 12 July 2022).
- Nakale, A. Hundreds Displaced and Schools Cut Off by Floods in Kabbe-Truth, for Its Own Sake. 2020. Available online: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4295389 (accessed on 3 February 2022).
- National Planning Commission. Annaual Report; GRN: Windheok, Namibia, 2019. [Google Scholar]
- Bronstert, A. Floods and climate change: Interactions and impacts. Risk Anal. 2003, 23, 545–557. [Google Scholar] [CrossRef]
- Udu-gama, N. Mobile Cell Broadcasting for Commercial Use and Public Warning in the Maldives. 2009. Available online: https://www.preventionweb.net/files/11235_CBMaldivesFINAL20090411.pdf (accessed on 3 August 2022).
- Fakhruddin, B.; Clark, H.; Robinson, L.; Hieber-Girardet, L. Should I stay or should I go now? Why risk communication is the critical component in disaster risk reduction. Prog. Disaster Sci. 2020, 8, 100139. [Google Scholar] [CrossRef]
- Ashu, R.E.A.; Van Niekerk, D. Building national and local capacity for disaster risk management in Cameroon. Disaster Prev. Manag. An Int. J. 2020, 28, 764–777. [Google Scholar] [CrossRef]
- Leedy, P.D.; Ormrod, J.E. [Paul_D._Leedy, _Jeanne_Ellis_Ormrod]_Practical_Res(b-ok.org); Pearson Education Limited: Kuala lumpur, Malaysia, 2015; ISBN 1292095881. [Google Scholar]
- Fox-Rogers, L.; Devitt, C.; O’Neill, E.; Brereton, F.; Clinch, J.P. Is there really “nothing you can do”? Pathways to enhanced flood-risk preparedness. J. Hydrol. 2016, 543, 330–343. [Google Scholar] [CrossRef]
Identified Gaps | Recommendations |
---|---|
Effective EW dissemination to grassroot levels |
|
Restrictions in communication links |
|
Lack of and outdatedness of SOPs |
|
Issues in decision-making structures |
|
Poor equipment used for hazard monitoring, forecasting and EW dissemination |
|
Poor inclusion of communities in FEWS operations |
|
Lack of clarity and accuracy in monitoring |
|
Poor communication speed among DRR institutions and between the public and DRR institutions |
|
Lack of engagement of local authorities |
|
Inaccurate predictions |
|
Lack of human resources |
|
Poor planning |
|
Poor safety in evacuation routes |
|
Limited resources in FEWS operations |
|
Inadequate prioritisation of most vulnerable individuals |
|
Irregularities in the distribution of resources |
|
Lack of education and awareness |
|
Identified Gaps | Recommendations |
---|---|
Mistrust of authorities |
|
Overconfidence in their traditional knowledge |
|
Reluctance to respond |
|
Lack of evacuation training |
|
Poor use of available technological platforms for information |
|
Lack of awareness and not following flood guidelines |
|
Dependence on slower modes of dissemination |
|
Attachment to personal belongings |
|
Poor cooperation with local government units |
|
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Moisès, D.J.; Kunguma, O. Strengthening Namibia’s Flood Early Warning System through a Critical Gap Analysis. Sustainability 2023, 15, 524. https://doi.org/10.3390/su15010524
Moisès DJ, Kunguma O. Strengthening Namibia’s Flood Early Warning System through a Critical Gap Analysis. Sustainability. 2023; 15(1):524. https://doi.org/10.3390/su15010524
Chicago/Turabian StyleMoisès, Deolfa Josè, and Olivia Kunguma. 2023. "Strengthening Namibia’s Flood Early Warning System through a Critical Gap Analysis" Sustainability 15, no. 1: 524. https://doi.org/10.3390/su15010524
APA StyleMoisès, D. J., & Kunguma, O. (2023). Strengthening Namibia’s Flood Early Warning System through a Critical Gap Analysis. Sustainability, 15(1), 524. https://doi.org/10.3390/su15010524