Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Landslide Risk Assessments through Multicriteria Analysis

Version 1 : Received: 24 May 2024 / Approved: 27 May 2024 / Online: 27 May 2024 (06:57:37 CEST)

How to cite: Chaabane, F. Z.; Lamine, S.; Guettouche, M. S.; Bachari, N. E. I.; Hallal, N. Landslide Risk Assessments through Multicriteria Analysis. Preprints 2024, 2024051682. https://doi.org/10.20944/preprints202405.1682.v1 Chaabane, F. Z.; Lamine, S.; Guettouche, M. S.; Bachari, N. E. I.; Hallal, N. Landslide Risk Assessments through Multicriteria Analysis. Preprints 2024, 2024051682. https://doi.org/10.20944/preprints202405.1682.v1

Abstract

Natural risks encompass a range of disasters and dangers, requiring comprehensive management through assessments, anticipations, and advanced alert systems. Our specific focus is on landslides in challenging terrains. The evaluation of landslide risks employs sophisticated multicriteria models, such as the weighted sum approach, integrating qualitative parameters. Despite the challenges of the rugged terrain in Northern Algeria, it paradoxically hosts a dense population attracted by valuable hydro-agricultural resources. Our research is dedicated to studying landslide risks in these areas, particularly in the Mila region, with the aim of constructing a statistical model integrating considerations of both danger and vulnerability. This complex process identifies threats and their determining factors, including geomorphology and socio-economic conditions. The result is a valuable tool for effective risk management, strengthening safety and resilience against natural disasters. By understanding the intricate interplay of geological, environmental, and social elements, our research can contribute to the development of targeted interventions, fostering a more resilient community in the face of natural adversities.

Keywords

Landsat Data Continuity; image processing; ArcGIS; Analytical Hierarchy Process; weighted sum; Multicriteria Analysis

Subject

Environmental and Earth Sciences, Remote Sensing

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.