首页|基于普适型降雨监测设备的江西省滑坡灾害降雨阈值分析

基于普适型降雨监测设备的江西省滑坡灾害降雨阈值分析

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降雨是诱发山体滑坡的重要因素之一。以江西省 416 起降雨型滑坡为研究对象,充分考虑前期有效降雨对滑坡的触发作用,基于群专结合监测预警点雨量计数据构建了累计降雨量-降雨历时阈值模型和降雨强度-降雨历时阈值模型,采用概率分级方法建立了不同的预警等级,并验证了模型可靠性。结果表明,江西省降雨型滑坡主要由 10 d内降雨引发,前期降雨对滑坡的发生有着显著影响;可以按 5%、20%、50%、80%滑坡发生概率确定降雨阈值曲线,采用 4 个预警等级对滑坡灾害进行监测预警;降雨强度-降雨历时阈值模型预测精度更高,更适用于江西省降雨型滑坡监测预警。研究成果能够为政府部门在滑坡预警方面提供指导,有效降低滑坡的危害性。
Analysis of Rainfall Thresholds for Landslides in Jiangxi Province Based on Universal Rainfall Monitoring Instruments
Rainfall events are oftentimes the important triggering cause for landslides.In this paper,the rainfall information of 416 rainfall-induced landslides in Jiangxi province was analyzed,consid-ering the role of previous effective rainfall.Based on these datasets,accumulated precipitation-rain-fall duration(E-D)thresholds and mean rainfall intensity-rainfall duration(I-D)thresholds for different probabilities of occurrence,corresponding to various early warning levels,were calculated using a Frequentist method,and the model reliability was verified.The following results are ob-tained:previous rainfall has a significant impact on the occurrence of landslide,and the rainfall-in-duced landslides in Jiangxi province are mainly triggered by rainfall within 10 days.Four early warn-ing levels can be used to monitor landslide disasters,and the rainfall threshold curves can be deter-mined according to the occurrence probabilities of 5%,20%,50%and 80%,respectively.The mean rainfall intensity-rainfall duration(I-D)threshold model has higher prediction accuracy and is more suitable for rainfall-induced landslide early warning in Jiangxi province.The research can provide guidance for government departments in landslide early warning and effectively reduce the harm of landslides.

landslideaccumulated precipitationrainfall durationmonitoring warningthreshold model

杨连伟、黄传胜、李华、李鹏、欧阳昊明

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江西省地质调查勘查院地质环境监测所,330006,南昌

东华理工大学土木与建筑工程学院,330013,南昌

滑坡 累计降雨量 降雨历时 监测预警 阈值模型

江西省自然科学基金东华理工大学博士科研启动基金东华理工大学博士科研启动基金

20202BABL214047DH-BK2019240DHBK2019243

2024

江西科学
江西省科学院

江西科学

影响因子:0.286
ISSN:1001-3679
年,卷(期):2024.42(3)
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