降雨量对不同特征公路边坡重要指标的影响结果数据集

1、数据采集：提取工程监控点在时间点前指定时间段、后指定时间段的重要指标数据（地表位移值，拉线位移值，深部位移的孔深、合成最大值）的变化状态；
2、数据处理：对各工程监控点的降雨量进行分类统计，获取典型雨量及对应时间点和目标工程监控点；根据变化状态程度进行分类统计，提取工程点的特征，形成降雨量对不同特征工程重要指标的影响结果构成降雨量对不同特征公路边坡重要指标的影响结果数据集；
3、数据应用：分析累计降雨量与地表位移、深部位移等数据的关系，分析其变化趋势可以作为判断地质灾害发生可能性的重要依据；通过对这些数据的监测和分析，可以结合气象条件，提前发出预警，便于管理人员提前制度措施。

1. Data Collection: Extract the change statuses of key indicator data (including surface displacement values, cable displacement values, hole depth and synthetic maximum value of deep displacement) of engineering monitoring points within the specified time periods before and after a given time point.
2. Data Processing: Conduct classified statistics on the rainfall data of each engineering monitoring point to obtain typical rainfall volumes, their corresponding time points and target engineering monitoring points; perform classified statistics based on the severity of change statuses, extract features of the engineering points, and develop a dataset that records the impact of rainfall on key indicators of highway slopes with distinct characteristics, which is derived from the impact results of rainfall on key indicators of different characteristic engineering works.
3. Data Application: Analyze the relationship between cumulative rainfall and data such as surface displacement and deep displacement; the analysis of their change trends can serve as an important basis for judging the possibility of geological disasters. Through monitoring and analysis of these data, combined with meteorological conditions, early warnings can be issued in advance to help managers formulate preventive measures ahead of schedule.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于降雨量对公路边坡重要指标的影响，通过监控点的数据采集和处理，分析累计降雨量与地表位移、深部位移等指标的关系，用于地质灾害预警和预防措施的制定。数据规模为0.128M，更新周期为天。