Monitoring volcanic gas hazards in Goma DRC using GIS and Google Earth Engine
Abstract Nyiragongo volcano, situated dangerously close to the densely populated city of Goma, poses a constant and immediate threat. This research investigated the 2021 Nyiragongo eruption, employing a multi-faceted approach to characterize lava flow trajectories and the emission of deleterious gas...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-07-01
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| Series: | Discover Geoscience |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44288-025-00189-4 |
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| Summary: | Abstract Nyiragongo volcano, situated dangerously close to the densely populated city of Goma, poses a constant and immediate threat. This research investigated the 2021 Nyiragongo eruption, employing a multi-faceted approach to characterize lava flow trajectories and the emission of deleterious gases (CO₂, CO, and NO₂). Methodologically, the study integrated field observations, satellite remote sensing via Google Earth Engine (GEE), and Geographic Information Systems (GIS) to delineate lava flow extents. Furthermore, in situ analyses documented structural damage to roadways in Goma and adjacent areas, attributed to seismic wave propagation. Despite the eruption’s relatively limited magnitude on May 20, 2021, field assessments revealed substantial localized devastation, particularly resulting from lava inundation of built infrastructure. The integration of GIS mapping into urban planning strategies is paramount for reconstruction initiatives in Goma and analogous regions. These geospatial analyses can delineate hazardous zones based on established lava flow patterns, thereby mitigating future infrastructural development in high-risk areas. While ground instruments are limited in their capacity to determine plume density and dispersal, critical parameters for eruption forecasting. Conversely, satellite remote sensing offers a synoptic perspective, enabling the monitoring of gas emission dynamics across extensive spatial domains. This study leveraged satellite imagery to analyze the spatiotemporal evolution of volcanic gas halos associated with Nyiragongo volcano during pre-eruptive, eruptive, and post-eruptive phases of two distinct events. Comparative analysis of sequential satellite observations facilitated the identification of recurring patterns in gas density and distribution. |
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| ISSN: | 2948-1589 |