Strengthening Namibia’s Flood Early Warning System through a Critical Gap Analysis

Deolfa Josè Moisès () and Olivia Kunguma
Additional contact information
Deolfa Josè Moisès: Disaster Management Training and Education Centre for Africa, Faculty of Natural and Environmental Sciences, University of the Free State, Bloemfontein 9301, South Africa
Olivia Kunguma: Disaster Management Training and Education Centre for Africa, Faculty of Natural and Environmental Sciences, University of the Free State, Bloemfontein 9301, South Africa

Sustainability, 2022, vol. 15, issue 1, 1-22

Abstract: Floods are considered leading hydrometeorological disasters, which are increasing in frequency, intensity and complexity with the evolution of climate change. Their associated impacts have detrimental and often prolonged implications for humankind, especially communities heavily reliant on the natural environment. The development and implementation of effective flood early warning systems (FEWSs) can serve to enhance coping strategies and strengthen the adaptive capacities of target communities while simultaneously minimising flood risks. However, shortcomings related to the lack of information on the operationalisation of these systems, the technical and financial requirements, the challenges faced and the directives related to their implementation have persisted, subverting risk reduction efforts at the grassroots level. Using data from key informant interviews and focus group discussions, this study employed a systematic analysis of the official Namibian flood early warning system based on the system’s implementation in Kabbe, Namibia. The study results revealed a need for significant changes across all system components as the FEWS follows a top-down, disintegrated and response-driven approach. Roles are undefined among institutions; funding is inadequate; and community risk perceptions, coping capacities and participation are disregarded. Based on the study findings, the researchers recommend significant changes in the design and application of the system, urging practitioners to recognise FEWSs as the continuous and integrated tools that they are.

Keywords: flood early warning systems; preparedness; disaster risk management; Namibia; gap analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/15/1/524/pdf (application/pdf)
https://www.mdpi.com/2071-1050/15/1/524/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2022:i:1:p:524-:d:1017868

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().