A Framework for the Dynamic Mapping of Precipitations Using Open-Source 3D WebGIS Technology

Marcello La Guardia (), Antonio Angrisano and Giuseppe Mussumeci
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Marcello La Guardia: Department of Engineering, University of Messina, 98158 Messina, Italy
Antonio Angrisano: Department of Engineering, University of Messina, 98158 Messina, Italy
Giuseppe Mussumeci: Department of Engineering, University of Messina, 98158 Messina, Italy

Geographies, 2025, vol. 5, issue 3, 1-13

Abstract: Climate change represents one of the main challenges of this century. The hazards generated by this process are various and involve territorial assets all over the globe. Hydrogeological risk represents one of these aspects, and the violence of rain precipitations has led experts to focus their interest on the study of geotechnical assets in relation to these dangerous weather events. At the same time, geospatial representation in 3D WebGIS based on open-source solutions led specialists to employ this kind of technology to remotely analyze and monitor territorial events considering different sources of information. This study considers the construction of a 3D WebGIS framework for the real-time management of geospatial information developed with open-source technologies applied to the dynamic mapping of precipitation in the metropolitan area of Palermo (Italy) based on real-time weather station acquisitions. The structure considered is a WebGIS platform developed with Cesium.js JavaScript libraries, the Postgres database, Geoserver and Mapserver geospatial servers, and the Anaconda Python platform for activating real-time data connections using Python scripts. This framework represents a basic geospatial digital twin structure useful to municipalities, civil protection services, and firefighters for land management and for activating any preventive operations to ensure territorial safety. Furthermore, the open-source nature of the platform favors the free diffusion of this solution, avoiding expensive applications based on property software. The components of the framework are available and shared using GitHub.

Keywords: WebGIS; database; weather; digital twin; climate change (search for similar items in EconPapers)
JEL-codes: Q1 Q15 Q5 Q53 Q54 Q56 Q57 (search for similar items in EconPapers)
Date: 2025
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