📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Modelling antecedent soil hydrological conditions to improve the prediction of landslide susceptibility in typhoon-prone regions (2024)

First Author: Abancó C

Attributed to: SCaRP: Simulating Cascading Rainfall-triggered landslide hazards in the Philippines funded by Newton Fund

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1007/s10346-024-02242-8

Publication URI: http://dx.doi.org/10.1007/s10346-024-02242-8

Type: Journal Article/Review

Parent Publication: Landslides

Issue: 7