Sustainability Nexus AID: landslides and land subsidence

Mahdi Motagh (), Shagun Garg, Francesca Cigna, Pietro Teatini, Alok Bhardwaj, Mir A. Matin, Azin Zarei and Kaveh Madani
Additional contact information
Mahdi Motagh: GFZ German Research Centre for Geosciences
Shagun Garg: University of Cambridge
Francesca Cigna: National Research Council (CNR)
Pietro Teatini: University of Padova
Alok Bhardwaj: Indian Institute of Technology Roorkee
Mir A. Matin: United Nations University Institute for Water, Environment and Health (UNU-INWEH)
Azin Zarei: United Nations University Institute for Integrated Management of Material Fluxes and of Resources (UNU-FLORES)
Kaveh Madani: United Nations University Institute for Water, Environment and Health (UNU-INWEH)

Sustainability Nexus Forum, 2024, vol. 32, issue 1, No 12, 12 pages

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.

Keywords: Analytics; Informatics; Data; Landslide; Land subsidence; Remoting sensing; Artificial intelligence; Sustainable development (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s00550-024-00549-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sumafo:v:32:y:2024:i:1:d:10.1007_s00550-024-00549-7

Ordering information: This journal article can be ordered from
https://www.springer ... onmental/journal/550

DOI: 10.1007/s00550-024-00549-7

Access Statistics for this article

Sustainability Nexus Forum is currently edited by Prof. Dr. Edeltraud Günther, Prof. Dr. Mario Schmidt and Prof. Dr. Uwe Schneidewind

More articles in Sustainability Nexus Forum from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().