城市空间结构适合地震灾难响应的适度映射使用梯度雨优化算法 (GROA)
Reza Aghataher1, Hamidreza Rabieifar1, Najmeh Neysani Samany2
1Islamic Azad University, Civil Engineering Faculty, South Tehran Branch, Tehran, Iran.
Heliyon
|November 2, 2023
概括
这项研究通过使用基于GIS的框架来确定关键区域来加强城市地震应对. 梯度降雨优化算法 (GROA) 有效地绘制出适合应急服务的区域,优先考虑道路网络因素.
科学领域:
- 城市规划和灾害管理
- 地理信息系统 (GIS) 是指地理信息系统.
- 优化算法优化算法
背景情况:
- 城市空间结构显著影响地震应对效率.
- 易受伤害的地区需要进行评估,以进行有效的搜救行动.
- 现有的框架缺乏优化识别灾难反应的关键区域.
研究的目的:
- 计算市政空间结构适用于地震后的危机反应.
- 识别易受紧急响应中断的关键区域.
- 增强基于GIS的框架,用于地震灾害适用性分析.
主要方法:
- 开发了一个混合框架,集成了模糊的分析层次过程 (FAHP) 和渐变雨优化算法 (GROA).
- 修改了雨量优化算法 (ROA) 改为GROA,使用梯度下降来防止局部优化.
- 将框架应用于伊朗德黑兰,用于适应性映射.
主要成果:
- 在德黑兰西部和西南部确定了关键的应急响应区域.
- 确定道路交叉点的程度和宽度作为城市适用性最重要的因素.
- 证明了GROA的效率与ROA相比,对当地的最佳情况和更好的经济表现出较少的敏感性.
结论:
- 通过GROA增强的GIS框架有效地确定了地震应急响应的关键领域.
- 城市规划人员和救援专家对适用性和关键区域地图表示高度满意.
- 该研究为优先考虑部队部署和减轻伤亡提供了有价值的工具.
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