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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

杨连伟 黄传胜 李华 李鹏 欧阳昊明

江西科学2024,Vol.42Issue(3):538-543,667,7.
江西科学2024,Vol.42Issue(3):538-543,667,7.DOI:10.13990/j.issn1001-3679.2024.03.013

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

Analysis of Rainfall Thresholds for Landslides in Jiangxi Province Based on Universal Rainfall Monitoring Instruments

杨连伟 1黄传胜 2李华 1李鹏 2欧阳昊明2

作者信息

  • 1. 江西省地质调查勘查院地质环境监测所,330006,南昌
  • 2. 东华理工大学土木与建筑工程学院,330013,南昌
  • 折叠

摘要

Abstract

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.

关键词

滑坡/累计降雨量/降雨历时/监测预警/阈值模型

Key words

landslide/accumulated precipitation/rainfall duration/monitoring warning/threshold model

分类

天文与地球科学

引用本文复制引用

杨连伟,黄传胜,李华,李鹏,欧阳昊明..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[J].江西科学,2024,42(3):538-543,667,7.

基金项目

江西省自然科学基金项目(20202BABL214047) (20202BABL214047)

东华理工大学博士科研启动基金资助项目(DH-BK2019240,DHBK2019243). (DH-BK2019240,DHBK2019243)

江西科学

1001-3679

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