基于数据的建模,使用系统动态模拟来根据不同情景在地震中提供救济.
Hassan Ahmadi Choukolaei1, Mustafa Jahangoshai Rezaee2, Peiman Ghasemi3
1Faculty of Industrial Engineering, Urmia University of Technology, Urmia, Iran.
概括
这项研究开发了一种可持续的数据驱动型号,用于地震救援物流,优化资源配置并最大限度地减少短缺. 它确定了特定的故障场景,其中需求量最高和最低的救援物品需求量.
科学领域:
- 灾害管理 灾害管理
- 运营研究 运营研究
- 土木工程 土木工程是指土木工程.
背景情况:
- 有效的灾难救援对于减轻损害和保护地震等事件期间的人口至关重要.
- 现有的模型往往缺乏整体方法,无法同时整合危机前和危机后的考虑.
- 应对灾害的可持续性对于长期的抗灾能力越来越重要.
研究的目的:
- 为地震救援物流提出和验证数据驱动的,可持续的模型.
- 在地震事件期间确定救援物品的最佳数量和分配策略.
- 尽量减少救援物品短缺,未经治疗的伤亡和供应链成本.
主要方法:
- 一种涉及模拟和多目标建模的两阶段方法.
- 动态模拟系统用于模拟地震对城市基础设施和重要动脉的影响.
- 基于数据的多目标模型的开发,包括可持续性原则.
主要成果:
- 该模型有效地估计了在各种地震场景中对救援物品的需求.
- 识别出了它们的身份.
- 莫沙日断层是莫沙日断层的一个故障.
- 作为具有最高需求和最高需求的场景.
- 北德黑兰 - 夜间断层
- 作为具有最低的场景.
- 多目标模型成功地平衡了减少短缺,未治疗的伤员和供应链支出.
结论:
- 拟议的数据驱动模型为可持续的地震救灾规划提供了一个强大的框架.
- 整合危机前后的数据可以提高灾难应对的效率和有效性.
- 该模型的发现为优化地震紧急情况的资源配置提供了有价值的见解.
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