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'Last-Mile' preparation for a potential disaster – Interdisciplinary approach towards tsunami early warning and an evacuation information system for the coastal city of Padang, Indonesia

机译:“最后一英里”准备潜在的灾难 - 对海啸预警的跨学科方法以及印度尼西亚沿海城市沿海市的疏散信息系统

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Extreme natural events, like e.g. tsunamis or earthquakes, regularly lead to catastrophes with dramatic consequences. In recent years natural disasters caused hundreds of thousands of deaths, destruction of infrastructure, disruption of economic activity and loss of billions of dollars worth of property and thus revealed considerable deficits hindering their effective management: Needs for stakeholders, decision-makers as well as for persons concerned include systematic risk identification and evaluation, a way to assess countermeasures, awareness raising and decision support systems to be employed before, during and after crisis situations. The overall goal of this study focuses on interdisciplinary integration of various scientific disciplines to contribute to a tsunami early warning information system. In comparison to most studies our focus is on high-end geometric and thematic analysis to meet the requirements of small-scale, heterogeneous and complex coastal urban systems. Data, methods and results from engineering, remote sensing and social sciences are interlinked and provide comprehensive information for disaster risk assessment, management and reduction. In detail, we combine inundation modeling, urban morphology analysis, population assessment, socio-economic analysis of the population and evacuation modeling. The interdisciplinary results eventually lead to recommendations for mitigation strategies in the fields of spatial planning or coping capacity.
机译:极端自然事件,如例如。海啸或地震,定期导致灾难的灾害。近年来,自然灾害造成数十万人死亡,基础设施破坏,经济活动的破坏以及数十亿美元的财产,因此揭示了其有效管理层的可观赤字:对利益攸关方,决策者的需求以及有关人员包括系统风险识别和评估,评估危机情况前,期间和之后雇用的对策,提高认识和决策支持系统。本研究的总体目标侧重于各种科学学科的跨学科融合,为海啸预警信息系统做出贡献。与大多数研究相比,我们的重点是高端几何和专题分析,以满足小规模,异构和复杂的沿海城市系统的要求。工程,遥感和社会科学的数据,方法和结果是相互关联的,并为灾害风险评估,管理和减少提供全面的信息。详细说明,我们结合了洪水建模,城市形态分析,人口评估,人口和疏散建模的社会经济分析。跨学科的结果最终导致空间规划或应对能力领域的缓解策略建议。

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