Indigenous early warning indicators for improving natural hazard predictions.

IF 1.3 Q2 SOCIAL SCIENCES, INTERDISCIPLINARY
Jamba-Journal of Disaster Risk Studies Pub Date : 2025-04-04 eCollection Date: 2025-01-01 DOI:10.4102/jamba.v17i1.1754
Masego M Motsumi, Livhuwani D Nemakonde
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引用次数: 0

Abstract

Indigenous knowledge plays a crucial role in predicting hazardous events, particularly for rural communities who are not reached by conventional early warning systems. Historical knowledge of hazard occurrence stored in the repository of these communities combined with their ability to observe environmental indicators, enhances their preparedness for, response to, and recovery from disasters. This study sought to gain insights into the Indigenous indicators used by rural communities in the Joe Morolong Local Municipality, Northern Cape, South Africa, to predict natural hazards, and explores how these indicators could complement meteorological seasonal climate and weather forecasts. The study was conducted in Joe Morolong Local Municipality, Northern Cape, South Africa. A phenomenological approach, which is a form of qualitative research design, was employed, with data collected through focus group discussions and virtual interviews with key informants, involving 109 participants. The findings reveal that communities rely on various environmental signs, including changes in vegetation, lunar cycles, cloud formations, bird behaviors, and wind speed and direction, to predict and anticipate hazardous events. These traditional methods, refined over generations, provide localised, trusted, and contextually relevant early warning systems that enhance disaster preparedness. By recognising and integrating these Indigenous indicators with meteorological forecasts, disaster risk management efforts can be strengthened, ensuring that rural communities have more comprehensive and effective tools for mitigating the risks and impacts of natural hazards.

Contribution: This study emphasises the value of Indigenous knowledge as a vital resource for enhancing disaster and climate resilience, as well as improving early warning systems.

改进自然灾害预测的土著预警指标。
土著知识在预测危险事件方面发挥着至关重要的作用,特别是对于传统预警系统无法覆盖的农村社区。储存在这些社区储存库中的关于灾害发生的历史知识与他们观察环境指标的能力相结合,加强了他们对灾害的准备、反应和恢复。本研究旨在深入了解南非北开普省乔莫龙地方自治市农村社区用于预测自然灾害的土著指标,并探讨这些指标如何补充气象季节气候和天气预报。这项研究是在南非北开普省的乔·莫龙地方市政当局进行的。采用了一种定性研究设计形式的现象学方法,通过焦点小组讨论和与关键信息提供者的虚拟访谈收集数据,涉及109名参与者。研究结果表明,群落依靠各种环境信号,包括植被变化、月亮周期、云层形成、鸟类行为、风速和风向,来预测和预测危险事件。这些传统方法经过几代人的改进,提供了本地化、可信和与环境相关的预警系统,加强了备灾能力。通过承认这些土著指标并将其与气象预报相结合,可以加强灾害风险管理工作,确保农村社区拥有更全面和有效的工具来减轻自然灾害的风险和影响。贡献:本研究强调了土著知识作为增强灾害和气候适应能力以及改进早期预警系统的重要资源的价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Jamba-Journal of Disaster Risk Studies
Jamba-Journal of Disaster Risk Studies SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
2.60
自引率
7.10%
发文量
37
审稿时长
37 weeks
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