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模拟自然灾害对互联基础设施网络的影响.pdf

上传人: 表表 编号:1152795 2026-02-14 9页 842.94KB

1、Modelling impacts of natural hazards on interconnected infrastructure networksThe projectThe Aim of this research project is to:1.Understand the extent of direct and indirect impacts/losses relevant to infrastructure2.Develop estimation methods to model the impact of natural hazards on interconnecte

2、d infrastructure3.Provide a framework to better understand the value of infrastructure resilience investments.The primary focus of this project is on public infrastructure.Primary Tasks1.Review existing literature,models and data relating to damage estimation(direct and indirect)as it relates to pub

3、lic infrastructure and Australian natural hazards.2.Develop(or implement)methods to estimate direct and indirect damage to three types of infrastructure and three hazard types.3.Undertake proof-of-concept case studies to demonstrate any models developed.4.Develop a conceptual framework for dealing w

4、ith cascading or compounding events(test through case studies).5.Outline future research needs in this space.The projectWe have 3 streams of research1.Network mapping 2.Damage estimation 3.Utilisation case studiesHazards&networksFlood,wind/storm,firePower(transmission&distribution),water,roadsStudy

5、region(our sandbox)Develop models/frameworks using SE Queensland networks and dataFrameworks(and where possible,models)will be region agnosticLiterature reviewSystematic literature reviewMethods for network interaction1.Network/Graph theory2.Network flow models3.Probabilistic&statistical models4.Spa

6、tial Overlay&Clustering Models5.Qualitative&Systems-Thinking Models6.Input-Output&Inoperability I-O ModelsNetwork mappingNetwork mapping and data extractionAutomated network data and attribute extraction with St Lucia as a case studyNetwork linkage initially through proximityGIS

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1. **项目目标**:研究自然灾害对互联基础设施网络的直接与间接影响,开发损失估算方法,提出韧性投资框架,聚焦公共基础设施。 2. **研究内容**: - 三类基础设施(电力、供水、道路)与三类灾害(洪水、风/风暴、火灾)的损失建模。 - 通过东南昆士兰案例验证模型,开发级联/复合事件处理框架。 3. **方法与数据**: - 整合网络图论、流模型、投入产出模型等,结合GIS平台与运营商数据(如Energy Queensland、Powerlink)。 - 采用事件驱动法,关联灾害强度(如洪水深度)与资产中断数据(如道路关闭时长、电网故障)。 4. **进展**:完成网络映射与文献综述,正耦合损失模型与网络模型,扩展案例研究。
**灾害如何影响基础设施?** **如何量化灾害损失?** **韧性投资有何价值?**
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