Web-GIS Application for Hydrogeological Risk Prevention: The Case Study of Cervo Valley

Davide Lorenzo Dino Aschieri (), Noemi Sobrino and Enrico Macii
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Davide Lorenzo Dino Aschieri: Department of Structural, Geotechnical and Building Engineering, Politecnico di Torino, 10129 Turin, Italy
Noemi Sobrino: Department of Structural, Geotechnical and Building Engineering, Politecnico di Torino, 10129 Turin, Italy
Enrico Macii: Interuniversity Department of Regional and Urban Studies and Planning, Politecnico di Torino, 10129 Torino, Italy

Sustainability, 2024, vol. 16, issue 22, 1-28

Abstract: Natural disasters have increasingly threatened human life, infrastructure, and ecosystems, exacerbated by climate change, urbanization, and deforestation. Effective disaster risk management is crucial to mitigate these impacts. Traditionally, Geographic Information Systems (GISs) have provided spatial data analysis capabilities, but the advent of Web-GIS applications has revolutionized this field. Web-GIS platforms enable real-time data access and facilitate enhanced stakeholder collaboration. This paper details the development of a Web-GIS application tailored for hydrogeological risk management in Cervo Valley, part of the NODES—Nord Ovest Digitale e Sostenibile project under Italy’s National Recovery and Resilience Plan (NRRP). The application integrates both static and dynamic geospatial data to create an interactive interface for evaluating and planning responses to hydrogeological hazards, specifically floods, landslides, and debris flow cones. By utilizing advanced Web-GIS capabilities, the project aims to refine the risk management practices and decision-making processes, thereby bolstering territorial resilience and addressing contemporary spatial challenges with enhanced precision and efficiency.

Keywords: web maps; natural hazard; hydrogeological risk assessment; flood; landslide; debris flow cones; landscape digital twin; QGIS (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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