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A metric-based assessment of flood risk and vulnerability of rural communities in the Lower Shire Valley, Malawi

机译:基于度量的马拉维下希尔河谷农村社区洪水风险和脆弱性评估

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In response to the increasing frequency and economic damages of natural disasters globally, disaster risk management has evolved to incorporate risk assessments that are multi-dimensional, integrated and metric-based. This is to support knowledge-based decision making and hence sustainable risk reduction. In Malawi and most of Sub-Saharan Africa (SSA), however, flood risk studies remain focussed on understanding causation, impacts, perceptions and coping and adaptation measures. Using the IPCC Framework, this study has quantified and profiled risk to flooding of rural, subsistent communities in the Lower Shire Valley, Malawi. Flood risk was obtained by integrating hazard and vulnerability. Flood hazard was characterised in terms of flood depth and inundation area obtained through hydraulic modelling in the valley with Lisflood-FP, while the vulnerability was indexed through analysis of exposure, susceptibility and capacity that were linked to social, economic, environmental and physical perspectives. Data on these were collected through structured interviews of the communities. The implementation of the entire analysis within GIS enabled the visualisation of spatial variability in flood risk in the valley. The results show predominantly medium levels in hazardousness, vulnerability and risk. The vulnerability is dominated by a high to very high susceptibility. Economic and physical capacities tend to be predominantly low but social capacity is significantly high, resulting in overall medium levels of capacity-induced vulnerability. Exposure manifests as medium. The vulnerability and risk showed marginal spatial variability. The paper concludes with recommendations on how these outcomes could inform policy interventions in the Valley.
机译:为了应对全球范围内自然灾害不断增加的频率和经济损失,灾害风险管理已发展为纳入多维,综合和基于指标的风险评估。这是为了支持基于知识的决策,从而支持可持续的风险降低。但是,在马拉维和撒哈拉以南非洲大部分地区,洪水风险研究仍然集中在理解因果关系,影响,看法以及应对和适应措施。使用IPCC框架,本研究已量化并分析了马拉维下希尔河谷农村生存社区遭受洪灾的风险。通过整合危害和脆弱性来获得洪水风险。通过使用Lisflood-FP通过在山谷中的水力模型获得的洪水深度和淹没面积来表征洪水灾害,而脆弱性则通过与社会,经济,环境和自然观点相关的暴露,敏感性和能力分析来索引。这些数据是通过对社区进行的结构性访谈而收集的。 GIS中整个分析的实施使可视化山谷洪水风险的空间变异性成为可能。结果表明,危险性,脆弱性和风险主要处于中等水平。该漏洞主要由高度敏感性到非常高的敏感性决定。经济和物质能力往往很低,但社会能力却很高,导致能力诱发的脆弱性总体处于中等水平。暴露表现为中等。脆弱性和风险显示出边际空间变异性。本文最后提出了有关这些结果如何为硅谷的政策干预提供信息的建议。

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