基于贝叶斯更新的滑坡时间概率预测方法A Probability Prediction Method for Landslide Time Based on Bayesian Update
韦成,林毓华,韦宁,江杰,蔡杏珍,陈铭熙
摘要(Abstract):
滑坡时间预测是滑坡风险管理的重要组成部分,受限于多种不确定性、随机性因素的影响,准确预测滑坡时间非常困难。本研究提出一种基于贝叶斯更新的参数估计方法对滑坡时间进行实时概率预测,并进行多模型集成预测分析。结果表明:两个滑坡案例验证了贝叶斯更新进行滑坡时间概率预测的可行性;实时预测中,早期加速变形阶段的预测不确定性大,只有在临滑阶段才能获取较为可靠的预测结果;多模型集成预测分析可提升实时预测的可靠性,因此建议采用多模型集成进行滑坡时间预测决策。
关键词(KeyWords): 滑坡;失稳时间;贝叶斯更新;概率预测;集成决策
基金项目(Foundation): 国家自然科学基金项目(52068004);; 广西重点研发计划项目(AB19245018)
作者(Author): 韦成,林毓华,韦宁,江杰,蔡杏珍,陈铭熙
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