Sustainability Nexus AID: landslides and land subsidence

Abstract Landslides and land subsidence pose significant threats that are both existing and growing in nature. These complex phenomena should not be considered in isolation but rather as interconnected challenges. To effectively understand and mitigate them, a data-driven nexus approach is necessary. Recognizing the importance of addressing this issue comprehensively, the United Nations University has launched the Sustainability Nexus Analytics, Informatics and Data Programme, a comprehensive initiative that intends to enable the nexus approach to problem solving in coupled human–environment systems. This paper provides a detailed background on the Programme’s “Landslides and Land Subsidence Module”, underscoring the crucial need for a nexus approach. Additionally, it highlights some of the tools and strategies that can be employed to tackle the challenges at hand. The success of this initiative hinges on active participation from various stakeholders. By embracing a holistic approach and fostering collaboration, we can strive towards better preparedness and long-term resilience against landslides and land subsidence.

Authors

Institutions

Publication Details

Journal
Sustainability Nexus Forum
Published
2024-10-18
DOI
https://doi.org/10.1007/s00550-024-00549-7
Citations
6
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
4.26

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sustainability Nexus AID: landslides and land subsidence

Pietro Teatini, Azin Zarei, Mir A. Matin, Mahdi Motagh et al.
6 citations
Sustainability Nexus Forum
Landslides and related hazards
4.26
article

Sustainability Nexus AID: landslides and land subsidence

Pietro Teatini, Azin Zarei, Mir A. Matin, Mahdi Motagh, Francesca Cigna, Shagun Garg, Alok Bhardwaj, Kaveh Madani
article en
6 citations

Abstract

Abstract Landslides and land subsidence pose significant threats that are both existing and growing in nature. These complex phenomena should not be considered in isolation but rather as interconnected challenges. To effectively understand and mitigate them, a data-driven nexus approach is necessary. Recognizing the importance of addressing this issue comprehensively, the United Nations University has launched the Sustainability Nexus Analytics, Informatics and Data Programme, a comprehensive initiative that intends to enable the nexus approach to problem solving in coupled human–environment systems. This paper provides a detailed background on the Programme’s “Landslides and Land Subsidence Module”, underscoring the crucial need for a nexus approach. Additionally, it highlights some of the tools and strategies that can be employed to tackle the challenges at hand. The success of this initiative hinges on active participation from various stakeholders. By embracing a holistic approach and fostering collaboration, we can strive towards better preparedness and long-term resilience against landslides and land subsidence.

Sustainability Nexus ForumVol. 32(1)
Leibniz University Hannover (DE), University of Padua (IT), Indian Institute of Technology Roorkee (IN), University of Cambridge (GB), Institute of Atmospheric Sciences and Climate (IT), United Nations University Institute for Water, Environment, and Health (CA), Institute for Integrated Management of Material Fluxes and of Resources (DE), United Nations University (DE), GFZ Helmholtz Centre for Geosciences (DE), National Research Council (IT)
Bundesministerium für Bildung und Forschung, Global Affairs Canada
Life in Land
Openalex Percentile: Top 6%
Landslides and related hazards
4.26
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.