人民长江 ›› 2021, Vol. 52 ›› Issue (7): 95-100.doi: 10.16232/j.cnki.1001-4179.2021.07.016

• • 上一篇    下一篇

基于相关系数的滑坡位移新陈代谢组合预测研究

党升,冯晓, 卢志豪,陈茂霖,韦春桃   

  • 发布日期:2021-08-17

Study on metabolic combined prediction model of landslide displacement based on correlation coefficient

DANG Sheng, FENG Xiao, LU Zhihao, CHEN Maolin, WEI Chuntao   

  • Published:2021-08-17

摘要: 针对目前常规组合预测模型在滑坡位移预测预报中精度下降过快的问题,从基于相关系数的组合预测模型出发,应用新陈代谢理论提出了一种基于相关系数的滑坡位移新陈代谢组合预测模型,定义、推导了相应的计算公式,并引入预测评价指标体系对该模型的预测效果进行评价。同时,以黄茨滑坡和新滩滑坡位移为实例进行了验证,结果表明:基于相关系数的滑坡位移新陈代谢组合预测模型的预测评价指标优于单项预测模型和基于相关系数的组合预测模型。

关键词: 滑坡位移; 相关系数; 新陈代谢法; 组合预测模型; 黄茨滑坡; 新滩滑坡;

Abstract: Aiming at the problem that the accuracy of conventional combined prediction model in landslide displacement prediction decreases too fast, starting from the combined prediction model based on correlation coefficient, a metabolic theory was applied to propose a metabolic combined prediction model for landslide displacement based on correlation coefficient.The corresponding calculation formula were defined and deduced, and the prediction effect of the model was evaluated by introducing the prediction evaluation index system.Through two examples of Huangci landslide and Xintan landslide, the verified results showed that the prediction evaluation index of the metabolic combined prediction model for landslide displacement based on correlation coefficient was better than the single prediction model and the combined prediction model based on correlation coefficient.

Key words: landslide displacement; correlation coefficient; metabolic theory; combined prediction model; Huangci landslide; Xintan Landslide;