基于土壤含水率的浅层滑坡监测预警模型研究

Study on monitoring and early warning model of shallow landslide based on soil moisture content

近年来,我国逐渐加大以物联网技术为基础的地质灾害自动监测预警系统的推广力度,但工作上一直存在实际应用效率不高的问题。究其原因,在于无法确定有效监测预警模型、厘定预警临界值。基于斜坡土壤含水率变化,结合土体抗剪强度和降雨渗流相关理论,建立了土壤含水率与斜坡稳定性安全系数的关系式,并得出了浅层滑坡自动监测预警模型。通过对模型相关参数的测定,可以得到预测斜坡危险性的土壤含水率临界值,并划定预警等级。考虑到我国崩滑流等地质灾害以小型为主的基本特征,此模型的提出对当前我国(特别是华南地区)地质灾害自动监测预警工作具有较大的实际应用意义。

In recent years,China has gradually increased the promotion of automatic monitoring and early warning systems for geological disasters based on Internet of Things Technology,but there is always a problem for the low practical application efficiency.The reason is that it is impossible to determine the effective monitoring and early warning model and determine the early warning critical value.Based on the variation of soil water content,the automatic monitoring and early warning model of shallow landslide is obtained by establishing the relationship between soil water content and safety factor of slope stability.Through the determination of the relevant parameters of the model,the critical value of soil moisture content for predicting slope risk can be obtained,then the early warning grade can be defined.Due to the characteristics of smallscale geological disasters such as collapsing and slipping flow in China,there is a great practical significance for this model in the automatic monitoring and early warning of geological disasters in our country,especially in South China.