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Updated: Feb 24, 2026

A Protocol for Conducting Rainfall Simulation to Study Soil Runoff
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优化降雨特征,以确定山体滑坡值

Himasha Abeysiriwardana1, Thomas Kjeldsen1, Cormac Reale1

  • 1Department of Architecture and Civil Engineering, Claverton Down Campus, University of Bath, Bath, BA2 7AY UK.

Natural hazards (Dordrecht, Netherlands)
|February 23, 2026
PubMed
概括

这项研究引入了一个新的框架,用于设定降雨门,以预测数据有限的地区的山体滑坡. 贝叶斯推理方法比非线性最小方形提供了比非线性最小方形更稳定的山体滑坡预测门,特别是在较长的先行降雨期间.

关键词:
贝叶斯的推理 贝叶斯的推理数据稀缺性 数据稀缺性事件降雨时间 持续时间强度 持续时间.土地滑坡是因为土地滑坡.最小的事件间隔时间.降雨率的门是什么

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