Impact of the 2021 La Palma volcanic eruption on air quality: Insights from a multidisciplinary approach

The Science of The Total Environment, Год журнала: 2023, Номер 869, С. 161652 - 161652

Опубликована: Янв. 21, 2023

The La Palma 2021 volcanic eruption was the first subaerial in a 50-year period Canary Islands (Spain), emitting ~1.8 Tg of sulphur dioxide (SO2) into troposphere over nearly 3 months (19 September-13 December 2021), exceeding total anthropogenic SO2 emitted from 27 European Union countries 2019. We conducted comprehensive evaluation impact on air quality (SO2, PM10 and PM2.5 concentrations) utilising multidisciplinary approach, combining ground satellite-based measurements with height-resolved aerosol meteorological information. High concentrations SO2, were observed (hourly mean up to ~2600 μg m−3 also sporadically at ~140 km distance island Tenerife (> 7700 m−3) free troposphere. daily peaked ~380 60 m−3. Volcanic aerosols desert dust both impacted lower similar height range (~ 0–6 km) during eruption, providing unique opportunity study combined effect natural phenomena. PM strongly influenced by magnitude emissions, injection height, vertical stratification atmosphere its seasonal dynamics. Mean increased 38 (Phase I) 92 II), showing an opposite temporal trend which decreased 34 kt 7 II). results this are relevant for emergency preparedness all international areas risk eruptions; approach is key understand processes eruptions affect mitigate minimise impacts population.

Язык: Английский

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SSCNet: A Spectrum-Space Collaborative Network for Semantic Segmentation of Remote Sensing Images

Remote Sensing, Год журнала: 2023, Номер 15(23), С. 5610 - 5610

Опубликована: Дек. 3, 2023

Semantic segmentation plays a pivotal role in the intelligent interpretation of remote sensing images (RSIs). However, conventional methods predominantly focus on learning representations within spatial domain, often resulting suboptimal discriminative capabilities. Given intrinsic spectral characteristics RSIs, it becomes imperative to enhance potential these by integrating context alongside information. In this paper, we introduce spectrum-space collaborative network (SSCNet), which is designed capture both and dependencies, thereby elevating quality semantic RSIs. Our innovative approach features joint spectral–spatial attention module (JSSA) that concurrently employs (SpeA) (SpaA). Instead feature-level aggregation, propose fusion maps gather contexts from their respective branches. Within SpeA, calculate position-wise similarity using complex Euclidean distance (CSED) real imaginary components projected feature frequency domain. To comprehensively losses, edge loss, Dice cross-entropy subsequently merging them with appropriate weighting. Extensive experiments ISPRS Potsdam LoveDA datasets underscore SSCNet’s superior performance compared several state-of-the-art methods. Furthermore, an ablation study confirms efficacy SpeA.

Язык: Английский

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The global volcano monitoring infrastructure database (GVMID)

Frontiers in Earth Science, Год журнала: 2024, Номер 12

Опубликована: Фев. 7, 2024

Monitoring volcanoes is of the most importance in volcano risk mitigation to safeguard lives and economies. Thanks recent technological advances, both on-ground space, our understanding volcanic processes has improved significantly. Though there no one-system-fits-all, optimizing infrastructure for efficient monitoring stands as key objective. The impacts hazards can span from local global scales, affecting us short long term. This highlights worldwide significance improving monitoring. Previously reliant on ground-based instruments, today’s approach enhanced by remote space-based techniques such satellite sensing, scanning-Differential Optical Absorption Spectroscopy (DOAS), infrasound. Designing an effective observatories involves careful consideration various factors network coverage, type sensors, data transmission, power supply ensure that targeted parameters meet specific needs each (e.g., activities, early warning systems). Additionally, fostering collaboration information sharing within scientific community essential addressing current challenges volcanology. In line with this, we’ve established Global Volcano Infrastructure Database (GVMID) compile across globe. serves integral component WOVOdat, unrest database, aiming enhance eruptive improve eruption forecasts. database incorporates metadata comprising networks, stations, all standardized managed using a MySQL relational management system. Accessed through web-based interface ( https://wovodat.org/gvmid/home.php ), GVMID offers informative snapshot foundational overview instruments place at diverse volcanoes. interactive platform allows queries, visualizations, downloads, serving valuable resource community. assist ways, by: (a) Facilitating setup or enhancement systems (b) Providing insights into latest technologies instrumentation. (c) Identifying existing gaps could be addressed sensing future instrument deployments. We extend invitation actively participate development enrichment GVMID. Our aim it become continually updated indispensable caters volcanology

Язык: Английский

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Aerial monitoring of atmospheric particulate matter produced by open-pit mining using low-cost airborne sensors

The Science of The Total Environment, Год журнала: 2023, Номер 904, С. 166743 - 166743

Опубликована: Сен. 1, 2023

Язык: Английский

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Shifting melt composition linked to volcanic tremor at Cumbre Vieja volcano

Nature Geoscience, Год журнала: 2025, Номер unknown

Опубликована: Янв. 10, 2025

Язык: Английский

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Analysis and automatic detection of lava flows using SAR backscatter applied to the 2017 eruption of Erta 'Ale Volcano, Ethiopia

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Янв. 10, 2025

Mapping lava flows from a range of conditions and environments is critical for understanding flow behaviour hazard assessment, but ground-based observations can be challenging especially in remote regions. Here, we use 39 SAR backscatter images the COSMO-SkyMed satellite to measure extent surface properties 2017-2019 eruption Erta ‘Ale volcano, Ethiopia. Using pairs images, map outlines observe both increases decreases which attribute differences roughness. We apply sequential analysis technique, CUSUM, find that it automatically identify background with 0.88 efficiency. However, simple simulations (Q-LavHA) could not reproduce extents reasonable input parameters, highlighting lack appropriate calibrations. This stresses importance thorough volcanic measurements correctly determine parameters modelling assessments.

Язык: Английский

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Paying more attention on backgrounds: Background-centric attention for UAV detection

Neural Networks, Год журнала: 2025, Номер 185, С. 107182 - 107182

Опубликована: Янв. 22, 2025

Язык: Английский

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Hydroacoustic sensing of seismic events during the Tajogaite volcanic eruption (La Palma, Spain)

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Фев. 3, 2025

Abstract Volcanic processes generate a variety of seismic events that can be detected by both on-land and underwater sensors. During the 2021 subaerial eruption Tajogaite volcano on La Palma Island (Canary Islands, NW Africa), an acoustic sensor was strategically deployed to monitor activity. This study presents marine passive monitoring data from moored hydrophone offshore at depth 77 m 7 km volcanic vent, during after eruption. We compare recordings with island’s network earthquake database Instituto Geográfico Nacional (IGN). By calculating metrics analyzing low-frequency bands (< 100 Hz), we identified 712 impulsive signals consistent recorded in catalogue. These were double-pulsed, (≤ 50 Hz peak frequencies ≤ 15 Hz) exhibited sound levels well correlated magnitudes. Our findings demonstrate shallow-water hydro-acoustics detect estimate magnitude volcano-tectonic earthquakes studied scenario. results encourage for integration hydro-acoustic conjunction stations enhance overall investigated area

Язык: Английский

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Forecasting the evolution of the 2021 Tajogaite eruption, La Palma, with TROPOMI/PlumeTraj-derived SO2 emission rates

Bulletin of Volcanology, Год журнала: 2025, Номер 87(3)

Опубликована: Фев. 26, 2025

Abstract As global populations grow, the exposure of communities and infrastructure to volcanic hazards increases every year. Once a eruption begins, it becomes critical for risk managers understand likely evolution duration activity assess its impact on infrastructure. Here, we report an exponential decay in satellite-derived SO 2 emission rates during 2021 Tajogaite, La Palma, Canary Islands, show that this pattern allows reliable consistent forecast emissions after first third total duration. The ended when fluxes dropped less than 6% their fitted maximum value, providing useful benchmark compare with other eruptions. Using 1-D numerical magma ascent model, suggest exponentially decreasing trend was primarily produced by reducing chamber pressure as emptied feeding reservoir. This work highlights key role data can play forecasting eruptions how use models inform driving mechanisms controlling eruption.

Язык: Английский

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Modeling Debris Flow Events in the Rio Inferno Watershed (Italy) Through UAV-Based Geomorphological Survey and Rainfall Data Analysis

Sensors, Год журнала: 2025, Номер 25(7), С. 1980 - 1980

Опубликована: Март 22, 2025

This paper presents an analysis of the debris flow phenomena in Rio Inferno watershed (Municipality Cesana Torinese, Western Alps, Italy). The annual frequency and magnitude these events have caused significant damage to viability historic Chaberton Military Road, which is now closed transit. study delved into processes governing flows through detailed geomorphological analysis, unmanned aerial vehicle (UAV) photogrammetric survey, elaboration rainfall data from nearby weather monitoring stations. Hydrologic Engineering Center's River Analysis System (HEC-RAS) code was used simulate considering critical precipitations associated with return periods 20, 50, 100, 200 years, based on highly topographical model obtained by means photogrammetry. highlights importance studying implement effective risk mitigation management strategies, especially context climate change increased vulnerability mountain territories.

Язык: Английский

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