地图化极端气候和基础设施脆弱性:美国铁路的新数据库
Benyamin Ghoreishi1, Brian M Staes2, Chenqiang Liu1
1School of Civil and Construction Engineering, Oregon State University, Corvallis, OR, 97331, USA.
Scientific data
|December 8, 2025
概括
一个新的数据集将洪水和热浪等自然灾害映射到美国铁路线上,揭示了基础设施的脆弱性. 这有助于规划气候弹性和了解运输风险.
科学领域:
- 环境科学 环境科学
- 运输工程 运输工程
- 数据科学数据科学数据科学
背景情况:
- 现有的运输数据集往往错过了非偶然的中断.
- 自然灾害对铁路等关键基础设施构成重大风险.
- 了解风险暴露对于基础设施弹性至关重要.
研究的目的:
- 创建一个全面的数据集,将自然灾害与美国铁路网络联系起来.
- 为评估铁路基础设施对气候变化的脆弱性提供基准.
- 支持对运输弹性进行研究和规划.
主要方法:
- 联邦机构关于自然灾害 (洪水,过度高温,山体滑坡) 的数据的空间分析.
- 集成多个联邦数据库,将危险事件映射到铁路段.
- 使用联邦铁路管理局 (FRA) 事故记录进行验证,以获得时空准确性.
主要成果:
- 一个新的国家数据集,将历史的自然灾害事件分配到美国铁路段 (2000-2024年).
- 数据集证明了时空准确性,高达50%的与危险有关的事故与记录的危险事件相吻合.
- 提供了整个美国大陆的细分级别危险暴露数据.
结论:
- 数据集是了解铁路基础设施脆弱性的宝贵工具.
- 促进学术研究,规划和对运输的气候适应性评估.
- 强调需要考虑自然灾害的影响,而不仅仅是可报告事故.
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