Modelling Explosive Nonstationarity of Ground Motion Shows Potential for Landslide Early Warning
This work applies the rarely seen explosive version of autoregressive modelling to a novel practical context—geological failure monitoring. This approach is more general than standard ARMA or ARIMA methods in that it allows the underlying data process to be explosively nonstationary, which is often...
Saved in:
| Main Authors: | Michael Manthey, Guoqi Qian, Antoinette Tordesillas |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-07-01
|
| Series: | Engineering Proceedings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-4591/68/1/35 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Research on prioritization algorithm for multi-hazard warning dissemination
by: Yunyin Mo, et al.
Published: (2025-06-01) -
A multifactor coupled rarly-warning model for pipeline landslide hazards based on the dynamic evolutionary process of disaster
by: Sen WU, et al.
Published: (2024-11-01) -
Flexible and Stable GaN Piezoelectric Sensor for Motion Monitoring and Fall Warning
by: Zhiling Chen, et al.
Published: (2024-12-01) -
Agrometeorological Hazard Warning Dataset for Black Soil Area of Northeast China
by: Pei Shunqiang, et al.
Published: (2025-04-01) -
Assessing Unconfined Vapor Cloud Explosions (Uvce) Physical Effects: A Software Built For Modelling With Bst Methodology
by: Tahsin Aykan Kepekli
Published: (2025-06-01)