期刊
LAND
卷 10, 期 8, 页码 -出版社
MDPI
DOI: 10.3390/land10080877
关键词
rainfall threshold; shallow landslides; wildfires; landslide forecasting; landslide hazard
资金
- Research Committee of the University of Patras
- Region of Western Greece
A new methodology for forecasting shallow landslides in wildfire burned areas is proposed by estimating the annual probability of rainfall threshold exceedance based on geological fieldwork and statistical analyses. The study concludes that the annual exceedance probability of rainfall-induced landslides in burned areas is higher when cumulative rainfall duration ranges from 6 to 9 days, with local differences due to geological conditions and landscape characteristics.
A new methodology for shallow landslide forecasting in wildfire burned areas is proposed by estimating the annual probability of rainfall threshold exceedance. For this purpose, extensive geological fieldwork was carried out in 122 landslides, which have been periodically activated in Western Greece, after the devastating wildfires that occurred in August 2007 and burned large areas in several parts of Western Greece. In addition, daily rainfall data covering more than 40 years has been collected and statistically processed to estimate the exceedance probability of the rainfall threshold above which these landslides are activated. The objectives of this study are to quantify the magnitude and duration of rainfall above which landslides in burned areas are activated, as well as to introduce a novel methodology on rainfall-induced landslide forecasting. It has been concluded that rainfall-induced landslide annual exceedance probability in the burned areas is higher when cumulative rainfall duration ranges from 6 to 9 days with local differences due to the prevailing geological conditions and landscape characteristics. The proposed methodology can be used as a basis for landslide forecasting in wildfire-affected areas, especially when triggered by rainfall, and can be further developed as a tool for preliminary landslide hazard assessment.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据