Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

Integrated landslide risk models to account for the human impact on landslide activity

Creator:
OztBozHolShu
Publisher:
GFZ
Host:avatar

Landslide risk will gradually increase in low- and lower-middle-income countries toward 2050. The accelerating expansion of human interventions of steep hillsides and water cycle-related process regimes altered by climate change modulate this increase in landslide risk. For example, climate change impacts are expected to be the most severe in the tropics, where the landslide risk mitigation capacity is likely the most limited. As a result, about 88% of landslide fatalities in the Americas and Africa were in the Tropics. To understand the roots of the increasing risks, dynamic interactions between the natural environment, rainfall patterns, and urbanisation must be considered.

In our study, we demonstrate how process-based modelling aids in exploring the dynamic natural-human landslide risk interactions. We show that combining global projections of urbanisation and climate with process-based models enables analysing of the landslide hazard drivers. For example, informal urbanisation could increase landslide counts fivefold. Thus, such approaches could provide valuable information for international policies and community-targeted actions for adequate landslide risk reduction.

The 28th IUGG General Assembly (IUGG2023) (Berlin 2023)

Visit

doi.orggfzpublic.gfz.de

Licenses

Creative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

Similar

Data From "The capacity of generative models to synthesize regional landslide and non-landslide remote sensing imagery under data-scarce scenarios: insights from multimodal foundation models"Landslide risk trends in the Kivu Rift and the impact of environmental and societal dynamicsLandslide Susceptibility Prediction Systemambujmishra0008/Landslide-Forecasting-SystemLandslide Disaster Risk Assessment Model in Soppeng Regency, South SulawesiLion Mountain Landslide in Non-urbanized Terrain: Changing the Myth of Landslide Occurrence in Western Sierra Leone

Data From "The capacity of generative models to synthesize regional landslide and non-landslide remote sensing imagery under data-scarce scenarios: insights from multimodal foundation models"

Results and datasets of the manuscript “The capacity of generative models to synthesi

Landslide risk trends in the Kivu Rift and the impact of environmental and societal dynamics

<p>On the nexus of humans and their environment, landslide risk is in essence dynamic.

Landslide Susceptibility Prediction System

Abstract The research presents an innovative landslide susceptibility prediction system th

ambujmishra0008/Landslide-Forecasting-System

● Work on the project “LANDSLIDE FORECASTING SYSTEM” with Dr. Varun Dutt, an Associate Prof of IIT M

Landslide Disaster Risk Assessment Model in Soppeng Regency, South Sulawesi

Landslide disaster risk assessment model has been proposed for Soppeng Regency which is located in t

Lion Mountain Landslide in Non-urbanized Terrain: Changing the Myth of Landslide Occurrence in Western Sierra Leone

Freetown has documented one of the most devastating landslides in the world in 2017. Many debates in