基于精细值分析的动态预警模型的研究:坦家旺山体滑坡的案例研究
Wenjian Wang1,2, Wu Yi1,2,3, Xiaohu Huang1,2,3
1Key Laboratory of Geological Hazards on Three Gorges Reservoir Area (China Three Gorges University), Ministry of Education, Yichang, Hubei, China.
PloS one
|February 9, 2026
概括
有效的预警系统对于减轻山体滑坡风险至关重要. 这项研究开发了一个动态模型,使用降雨和流离失所数据来预测山体滑坡加速,改善灾害损失减少.
科学领域:
- 地质技术工程 地质技术工程
- 减轻自然危害的减缓方法
- 地震和山体滑坡科学 地震和山体滑坡科学
背景情况:
- 降雨引起的山体滑坡带来了重大风险,特别是在爬行变形阶段.
- 及时缓解具有挑战性,强调需要有效的早期预警系统.
- 减少灾害损失需要准确预测山体滑坡加速.
研究的目的:
- 引入"单一降雨过程"的概念,以描述降雨对山体滑坡变形的影响.
- 为了确定先行降雨量 (Pe),当前降雨量 (P) 和移位率 (V) 的值.
- 开发一个精细的动态预警模型,用于地震.
主要方法:
- 在降雨下对滑坡变形 (移位,移位速度) 的分析.
- 使用最小平方法确定"故障转折点"和"稳定转折点".
- 雨量移位率函数F (V,P,Pe) 与物流回归模型的集成.
主要成果:
- 滑坡变形与降雨过程有很强的相关性,显示"阶段式"的累积移位和移位速度的"滞后减弱".
- 更精细的监测周期提高了动态滑坡变形捕获和位移率值的准确性.
- 开发的早期预警模型基于变形阶段演变动态优化监测周期.
结论:
- 该研究成功地确定了早期预警的关键降雨和迁移率值.
- 集成这些值的动态预警模型提供了自适应监控优化.
- 这些发现有助于改善山体滑坡风险管理和减少灾害损失.
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