Integrating “Top-Down” and “Community-Centric” Approaches for Community-Based Flood Early Warning Systems in Namibia

Author:

Josè Moisès Deolfa1,Kgabi Nnenesi2,Kunguma Olivia1ORCID

Affiliation:

1. Disaster Management Training and Education Centre for Africa, Faculty of Natural and Environmental Sciences, University of the Free State, Bloemfontein 9301, South Africa

2. Unit for Environmental Sciences and Management, North-West University, Potchefstroom 2531, South Africa

Abstract

The United Nations Office for Disaster Risk Reduction (UNDRR) resolutely endorses the development of people-centred early warning systems. Moreover, several scientific studies have deprecated the vast technology-driven technocratic approaches to implementing these systems, contending the prioritisation of communities and their contextualised needs for systems that ensure effective risk protection and resilience building. However, both the UNDRR and the scientific literature have failed to define appropriate means of implementation (MoI) for community-based early warning system (CBEWS) development. Floods are a major hazard annually impacting several communities in rural sub-Saharan Africa, and though several opportunities for participatory systems have been identified, investment in developing countries is often lagging, and no defined mechanism for developing these systems exists. Adopting a modified Integrated Emergency Management Framework, this study demonstrates that an impact-based CBEWS can be established by leveraging existing resources, institutions and stakeholders, essentially merging last-mile and first-mile approaches. The study further reveals that directly linking technical capacities with community-based efforts allows communities to define system development parameters, strengthen risk knowledge and response, and build resilience for improved physical, economic and environmental protection, essentially bridging the gap between first and last-mile approaches. The study also highlights the need for governments to appropriately streamline DRR to improve coordination and communication.

Funder

European Commission

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference64 articles.

1. (2023, August 14). United Nations Office for Disaster Risk Reduction: Geneva, Switzerland. Available online: https://www.genevaenvironmentnetwork.org/environment-geneva/organizations/united-nations-office-for-disaster-risk-reduction/.

2. United Nations Office for Disaster Risk Reduction (2020). Human Cost of Disasters, United Nations Office for Disaster Risk Reduction.

3. Centre for International Studies and Cooperation (2011). Community-Based Early Warning Systems. A Best Practice Guide for Upland Areas of Vietnam, Centre for International Studies and Cooperation.

4. A review of studies on participatory early warning systems (P-EWS): Pathways to support citizen science initiatives;Marchezini;Front. Earth Sci.,2018

5. Cowan, Y., O’Brien, E., and Rakotomalala-Rakotondrandria, N. (2014). Community-Based Early Warning Systems: Key Practices for DRR Implementers, Food and Agriculture Organization.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3