Supporting Landslide Disaster Risk Reduction using Data-driven Methods

被引:0
|
作者
Siposova, Andrea [1 ]
Mayer, Rudolf [1 ]
Schloegl, Matthias [2 ]
Lampert, Jasmin [3 ]
机构
[1] SBA Res, Vienna, Austria
[2] GeoSphere Austria, Vienna, Austria
[3] AIT, Seibersdorf, Austria
来源
ERCIM NEWS | 2023年 / 135期
关键词
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Climate change brings about changes in both frequency and intensity of extreme weather events around the globe, with impacts on mountain areas such as the Austrian Alps being particularly severe. Conditions conducive to natural hazards such as landslides are expected to increase. The potential damage resulting from such gravitational mass movements underscores the importance of strengthening knowledge about the likelihood of their occurrence. Within the Austrian project gAia, funded by KIRAS [L1], we develop a data-driven approach to provide stakeholders with actionable knowledge to increase preparedness, aid decision-making and support adaptation measures for making our society more climate resilient.
引用
收藏
页码:10 / 11
页数:2
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