在中国高速铁路次级基础设施的多缺陷风险评估
Jinchen Wang1,2, Yinsheng Zhang3, Luqi Wang2
1Key Laboratory of Geological Hazards On Three Gorges Reservoir Area of Ministry of Education, China Three Gorges University, Yichang, 443002, Hubei, People's Republic of China.
Scientific reports
|March 6, 2024
概括
气候变化和极端天气对中国高速铁路 (HSR) 基础设施构成重大风险. 机器学习识别了导致高温回流缺陷的关键气候和地形因素,突出了针对性缓解的关键高风险区域.
科学领域:
- 土木工程 土木工程是指土木工程.
- 地质技术工程 地质技术工程
- 环境科学 环境科学
背景情况:
- 中国的高速铁路 (HSR) 基础设施面临气候变化带来的风险越来越大,包括气候变暖,暴雨和极端天气事件.
- 地缘危险事件进一步加剧了基础设施的脆弱性,需要强有力的风险评估方法.
- 了解环境因素和HSR缺陷之间的相互作用对于确保运行安全和寿命至关重要.
研究的目的:
- 量化评估中国高压电路基础设施的多缺陷风险.
- 识别和排名影响HSR次级安全性的气候,地形,地质水文和人为变量.
- 制定一个全面的风险地图,确定针对性干预的高风险区域.
主要方法:
- 利用从广泛的文献综述中编制的HSR缺陷的地理引用数据集.
- 采用机器学习技术进行定量风险评估.
- 分析和排名各种影响变量,包括气候,地形,地质水文和人类因素.
主要成果:
- 发现气候因素显著影响伤害和泥抽.
- 地形学变量对沉积和升起变形缺陷的影响更大.
- 特定的缺陷类型显示出地理分布:东北/西北地区的伤,东南海岸的泥抽取,西北/中部地区的定居点/提升.
结论:
- 该研究产生了一个全面的风险地图,确定了关键的高风险区域,例如兰州-乌鲁木齐高压高速公路的部分.
- 集中注意力和预防行动对于这些确定区域至关重要,以减轻潜在的损失.
- 需要采取积极的措施,以确保高压电路基础设施的持续运行安全和可靠性,以应对环境挑战.
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