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摘要:
改进切线角预警模型是一种有效的滑坡预警方法，但改进切线角模型的机制是以准确识别匀速变形阶段及其速率为基础的，滑坡的匀速变形速率是随着孕灾环境变化和滑坡演化阶段而波动的，相同模型在不同匀速变形速率下得出的切线角存在较大差异，对滑坡预警不利。因此，笔者提出采用曲线凸凹特性与滤波技术的自适应获取滑坡匀速变形阶段和平均速率，并建立速率可靠性评价规则，从而实现对改进切线角预警模型进行实时修正，确保滑坡预警的准确性。该研究为滑坡监测预警智能化、自动化实时处理监测预警数据提供技术支持。
Abstract:The improved tangent angle early warning model is an effective landslide early warning method, but the mechanism of the improved tangent angle model is based on the accurate identification of the uniform deformation stage and its rate. The uniform deformation rate of the landslide fluctuates with the change of the disaster prone environment and the landslide evolution stage. Therefore, the tangent angles obtained by the same model under different uniform deformation rates are quite different, which is unfavorable for landslide early warning. Based on this, the paper proposes to use curve convex concave characteristics and filtering technology to adaptively obtain the landslide uniform deformation stage and average rate, and establish rate reliability evaluation rules, so as to achieve real–time correction of the improved tangent angle early warning model and ensure the accuracy of landslide early warning. The research of this paper provides technical support for intelligent and automatic real–time processing of monitoring and early warning data of landslide monitoring and early warning.
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Key words:
- landslides /
- monitoring and warning /
- tangent angle model /
- uniform deformation
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