Articles | Volume 18, issue 9
https://doi.org/10.5194/nhess-18-2355-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-18-2355-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Sep 2018
Research article |
| 12 Sep 2018
| 12 Sep 2018
Growth of a sinkhole in a seismic zone of the northern Apennines (Italy)
Alessandro La Rosa
CORRESPONDING AUTHOR
Dipartimento di Scienze della Terra, Università degli Studi di Firenze, Via G. La Pira, 4, 50121 Florence, Italy
Dipartimento di Scienze della Terra, Università di Pisa, Via S. Maria, 53, 56126 Pisa, Italy
Carolina Pagli
Dipartimento di Scienze della Terra, Università di Pisa, Via S. Maria, 53, 56126 Pisa, Italy
Giancarlo Molli
Dipartimento di Scienze della Terra, Università di Pisa, Via S. Maria, 53, 56126 Pisa, Italy
Francesco Casu
CNR, Consiglio Nazionale delle Ricerche, Istituto per il Rilevamento Elettromagnetico dell'Ambiente (IREA-CNR), Via Diocleziano, 328, 80124 Naples, Italy
Claudio De Luca
CNR, Consiglio Nazionale delle Ricerche, Istituto per il Rilevamento Elettromagnetico dell'Ambiente (IREA-CNR), Via Diocleziano, 328, 80124 Naples, Italy
Amerino Pieroni
Pro.Geo. s.r.l. Via Valmaira, 14, 55032, Castelnuovo di Garfagnana, Italy
Giacomo D'Amato Avanzi
Dipartimento di Scienze della Terra, Università di Pisa, Via S. Maria, 53, 56126 Pisa, Italy
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Alessandro La Rosa, Pauline Gayrin, Sascha Brune, Carolina Pagli, Ameha A. Muluneh, Gianmaria Tortelli, and Derek Keir
EGUsphere, https://doi.org/10.5194/egusphere-2025-1215, https://doi.org/10.5194/egusphere-2025-1215, 2025
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We propose a new method to map faults automatically in DEMs and measure long-term crustal deformation in rift contexts. By combining our data with rock ages, we reconstruct rift evolution in Afar during the last 4.5 Myrs. We show that the rift axis is most active, with rifting propagating northwest over time. Here magma promotes crustal deformation and faulting caused by dike opening. In the southern sector Afar, two fault systems respond to different motions of diverging tectonic plates.
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We propose a new method to map faults automatically in DEMs and measure long-term crustal deformation in rift contexts. By combining our data with rock ages, we reconstruct rift evolution in Afar during the last 4.5 Myrs. We show that the rift axis is most active, with rifting propagating northwest over time. Here magma promotes crustal deformation and faulting caused by dike opening. In the southern sector Afar, two fault systems respond to different motions of diverging tectonic plates.
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This research examines fluvial dynamics in Central Moroccan valleys using Quaternary lava flows as geomorphic markers. By calculating post-emplacement incision rates, spatial variations in incision were found between the Moroccan Massif Central and Middle Atlas. This discrepancy, likely due to surface uplift from flexural forebulge and mantle dynamics, offers new insights into Quaternary landscape evolution, revealing significant relief predating the lava flows.
Giancarlo Molli, Luca Menegon, and Alessandro Malasoma
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We present a new case study on the role of brittle precursors in nucleating shear zone. Our studied sample shows a high-pressure, low-temperature (HP/LT) microscale ultramylonite developed by brittle precursors induced during deformation within a host HP/LT granitic mylonite. We infer that the studied structures may be considered as a small-scale example of fault structures related to stick-slip strain accommodation during subduction of continental crust.
A. Manconi, F. Casu, F. Ardizzone, M. Bonano, M. Cardinali, C. De Luca, E. Gueguen, I. Marchesini, M. Parise, C. Vennari, R. Lanari, and F. Guzzetti
Nat. Hazards Earth Syst. Sci., 14, 1835–1841, https://doi.org/10.5194/nhess-14-1835-2014, https://doi.org/10.5194/nhess-14-1835-2014, 2014
S. Balbarani, P. A. Euillades, L. D. Euillades, F. Casu, and N. C. Riveros
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The Avalanche Terrain Exposure Scale (ATES) is an avalanche terrain rating system used for terrain assessment and risk communication in public and workplace avalanche safety practices. This paper introduces ATES v.2, an update that expands the original scale from three levels to five by including Class 0 – Non-avalanche terrain and Class 4 – Extreme terrain. The updated models for assessment and communication are described in detail, along with guidance for the application of ATES.
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Florian Herla, Pascal Haegeli, Simon Horton, and Patrick Mair
Nat. Hazards Earth Syst. Sci., 25, 625–646, https://doi.org/10.5194/nhess-25-625-2025, https://doi.org/10.5194/nhess-25-625-2025, 2025
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We present a spatial framework for extracting information about avalanche problems from detailed snowpack simulations and compare the numerical results against operational assessments from avalanche forecasters. Despite good agreement in seasonal summary statistics, a comparison of daily assessments revealed considerable differences, while it remained unclear which data source represented reality the best. We discuss how snowpack simulations can add value to the forecasting process.
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In this study we applied a random forest machine learning algorithm to model current and future forest fire susceptibility (FFS) in north-eastern Germany using anthropogenic, climatic, topographic, soil, and vegetation variables. Model accuracy ranged between 69 % and 71 %, showing moderately high model reliability for predicting FFS. The model results underline the importance of anthropogenic and vegetation parameters. This study will support regional forest fire prevention and management.
Bastian Bergfeld, Karl W. Birkeland, Valentin Adam, Philipp L. Rosendahl, and Alec van Herwijnen
Nat. Hazards Earth Syst. Sci., 25, 321–334, https://doi.org/10.5194/nhess-25-321-2025, https://doi.org/10.5194/nhess-25-321-2025, 2025
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To release a slab avalanche, a crack in a weak snow layer beneath a cohesive slab has to propagate. Information on that is essential for assessing avalanche risk. In the field, information can be gathered with the propagation saw test (PST). However, there are different standards on how to cut the PST. In this study, we experimentally investigate the effect of these different column geometries and provide models to correct for imprecise field test geometry effects on the critical cut length.
Stephanie Bohlmann and Marko Laine
Nat. Hazards Earth Syst. Sci., 24, 4225–4235, https://doi.org/10.5194/nhess-24-4225-2024, https://doi.org/10.5194/nhess-24-4225-2024, 2024
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Probabilistic ensemble forecasts of the Canadian Forest Fire Weather Index (FWI) can be used to estimate the possible wildfire risk but require post-processing to provide accurate and reliable predictions. This article presents a calibration method using non-homogeneous Gaussian regression to statistically post-process FWI forecasts up to 15 d. Calibration improves the forecast especially at short lead times and in regions with high fire risk.
Roberto Giovanni Francese, Roberto Valentino, Wilfried Haeberli, Aldino Bondesan, Massimo Giorgi, Stefano Picotti, Franco Pettenati, Denis Sandron, Gianni Ramponi, and Mauro Valt
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-212, https://doi.org/10.5194/nhess-2024-212, 2024
Revised manuscript accepted for NHESS
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The deadly collapse of the Marmolada Glacier in Italy in July 2022, is part of a global trend of rapid glacial retreat due to climate change. The event was influenced by permafrost degradation and abnormal warming. Historical data, geophysical surveys, and numerical simulations were used to analyze the collapse. Ice fracturing, water infiltration, and basal lubrication were key contributors. Predicting glacier instability is rather complex but monitoring is vital to cope with the hazard.
Franz Kleine, Charlotte Bruland, Andreas Wüstefeld, Volker Oye, and Martin Landrø
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-202, https://doi.org/10.5194/nhess-2024-202, 2024
Revised manuscript accepted for NHESS
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We used a fiber optic cable along a road in western Norway to study snow avalanches signals. Our study shows that avalanches create distinct signals in the 20–50 Hz frequency range, with larger ones having weak early warning signals. However, road traffic interference complicates automatic detection. This research highlights the potential of using existing infrastructure for avalanche monitoring. Further improvements are needed for automated detection.
Amelie Fees, Alec van Herwijnen, Michael Lombardo, Jürg Schweizer, and Peter Lehmann
Nat. Hazards Earth Syst. Sci., 24, 3387–3400, https://doi.org/10.5194/nhess-24-3387-2024, https://doi.org/10.5194/nhess-24-3387-2024, 2024
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Glide-snow avalanches release at the ground–snow interface, and their release process is poorly understood. To investigate the influence of spatial variability (snowpack and basal friction) on avalanche release, we developed a 3D, mechanical, threshold-based model that reproduces an observed release area distribution. A sensitivity analysis showed that the distribution was mostly influenced by the basal friction uniformity, while the variations in snowpack properties had little influence.
Kang He, Xinyi Shen, Cory Merow, Efthymios Nikolopoulos, Rachael V. Gallagher, Feifei Yang, and Emmanouil N. Anagnostou
Nat. Hazards Earth Syst. Sci., 24, 3337–3355, https://doi.org/10.5194/nhess-24-3337-2024, https://doi.org/10.5194/nhess-24-3337-2024, 2024
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A framework combining a fire severity classification with a regression model to predict an indicator of fire severity derived from Landsat imagery (difference normalized burning ratio, dNBR) is proposed. The results show that the proposed predictive technique is capable of providing robust fire severity prediction information, which can be used for forecasting seasonal fire severity and, subsequently, impacts on biodiversity and ecosystems under projected future climate conditions.
Håvard B. Toft, Samuel V. Verplanck, and Markus Landrø
Nat. Hazards Earth Syst. Sci., 24, 2757–2772, https://doi.org/10.5194/nhess-24-2757-2024, https://doi.org/10.5194/nhess-24-2757-2024, 2024
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This study investigates inconsistencies in impact force as part of extended column tests (ECTs). We measured force-time curves from 286 practitioners in Scandinavia, Central Europe, and North America. The results show a large variability in peak forces and loading rates across wrist, elbow, and shoulder taps, challenging the ECT's reliability.
Florian Herla, Pascal Haegeli, Simon Horton, and Patrick Mair
Nat. Hazards Earth Syst. Sci., 24, 2727–2756, https://doi.org/10.5194/nhess-24-2727-2024, https://doi.org/10.5194/nhess-24-2727-2024, 2024
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Snowpack simulations are increasingly employed by avalanche warning services to inform about critical avalanche layers buried in the snowpack. However, validity concerns limit their operational value. We present methods that enable meaningful comparisons between snowpack simulations and regional assessments of avalanche forecasters to quantify the performance of the Canadian weather and snowpack model chain to represent thin critical avalanche layers on a large scale and in real time.
Tandin Wangchuk and Ryota Tsubaki
Nat. Hazards Earth Syst. Sci., 24, 2523–2540, https://doi.org/10.5194/nhess-24-2523-2024, https://doi.org/10.5194/nhess-24-2523-2024, 2024
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A glacial lake outburst flood (GLOF) is a natural hazard in which water from a glacier-fed lake is swiftly discharged, causing serious harm to life, infrastructure, and communities. We used numerical models to predict the potential consequences of a GLOF originating from the Thorthomi glacial lake in Bhutan. We found that if a GLOF occurs, the lake could release massive flood water within 4 h, posing a considerable risk. Study findings help to mitigate the impacts of future GLOFs.
Håvard B. Toft, John Sykes, Andrew Schauer, Jordy Hendrikx, and Audun Hetland
Nat. Hazards Earth Syst. Sci., 24, 1779–1793, https://doi.org/10.5194/nhess-24-1779-2024, https://doi.org/10.5194/nhess-24-1779-2024, 2024
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Manual Avalanche Terrain Exposure Scale (ATES) mapping is time-consuming and inefficient for large-scale applications. The updated algorithm for automated ATES mapping overcomes previous limitations by including forest density data, improving the avalanche runout estimations in low-angle runout zones, accounting for overhead exposure and open-source software. Results show that the latest version has significantly improved its performance.
Paula Aguirre, Jorge León, Constanza González-Mathiesen, Randy Román, Manuela Penas, and Alonso Ogueda
Nat. Hazards Earth Syst. Sci., 24, 1521–1537, https://doi.org/10.5194/nhess-24-1521-2024, https://doi.org/10.5194/nhess-24-1521-2024, 2024
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Wildfires pose a significant risk to property located in the wildland–urban interface (WUI). To assess and mitigate this risk, we need to understand which characteristics of buildings and building arrangements make them more prone to damage. We used a combination of data collection and analysis methods to study the vulnerability of dwellings in the WUI for case studies in Chile and concluded that the spatial arrangement of houses has a substantial impact on their vulnerability to wildfires.
Martín Domínguez Durán, María Angélica Sandoval Garzón, and Carme Huguet
Nat. Hazards Earth Syst. Sci., 24, 1319–1339, https://doi.org/10.5194/nhess-24-1319-2024, https://doi.org/10.5194/nhess-24-1319-2024, 2024
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In this study we created a cost-effective alternative to bridge the baseline information gap on indoor radon (a highly carcinogenic gas) in regions where measurements are scarce. We model indoor radon concentrations to understand its spatial distribution and the potential influential factors. We evaluated the performance of this alternative using a small number of measurements taken in Bogotá, Colombia. Our results show that this alternative could help in the making of future studies and policy.
Julia Glaus, Katreen Wikstrom Jones, Perry Bartelt, Marc Christen, Lukas Stoffel, Johan Gaume, and Yves Bühler
EGUsphere, https://doi.org/10.5194/egusphere-2024-771, https://doi.org/10.5194/egusphere-2024-771, 2024
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This study assesses RAMMS::EXTENDED's predictive power in estimating avalanche run-out distances critical for mountain road safety. Leveraging meteorological data and sensitivity analysis, it offers meaningful predictions, aiding near real-time hazard assessments and future model refinement for improved decision-making.
Grégoire Bobillier, Bertil Trottet, Bastian Bergfeld, Ron Simenhois, Alec van Herwijnen, Jürg Schweizer, and Johan Gaume
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-70, https://doi.org/10.5194/nhess-2024-70, 2024
Revised manuscript accepted for NHESS
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Our study focuses on the initiation process of snow slab avalanches. By combining experimental data and numerical simulations, we show that on gentle slopes, a crack forms and propagates due to compression fracture within a weak layer, and on steep slopes, the crack velocity can increase dramatically after about 5 meters due to a fracture mode transition (compression to shear). Understanding these dynamics represents an essential additional piece in the dry-snow slab avalanche formation puzzle.
Monica Sund, Heidi A. Grønsten, and Siv Å. Seljesæter
Nat. Hazards Earth Syst. Sci., 24, 1185–1201, https://doi.org/10.5194/nhess-24-1185-2024, https://doi.org/10.5194/nhess-24-1185-2024, 2024
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Slushflows are rapid mass movements of water-saturated snow released in gently sloping terrain (< 30°), often unexpectedly. Early warning is crucial to prevent casualties and damage to infrastructure. A regional early warning for slushflow hazard was established in Norway in 2013–2014 and has been operational since. We present a methodology using the ratio between water supply and snow depth by snow type to assess slushflow hazard. This approach is useful for other areas with slushflow hazard.
Sophie Barthelemy, Bertrand Bonan, Jean-Christophe Calvet, Gilles Grandjean, David Moncoulon, Dorothée Kapsambelis, and Séverine Bernardie
Nat. Hazards Earth Syst. Sci., 24, 999–1016, https://doi.org/10.5194/nhess-24-999-2024, https://doi.org/10.5194/nhess-24-999-2024, 2024
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This work presents a drought index specifically adapted to subsidence, a seasonal phenomenon of soil shrinkage that occurs frequently in France and damages buildings. The index is computed from land surface model simulations and evaluated by a rank correlation test with insurance data. With its optimal configuration, the index is able to identify years of both zero and significant loss.
John Sykes, Håvard Toft, Pascal Haegeli, and Grant Statham
Nat. Hazards Earth Syst. Sci., 24, 947–971, https://doi.org/10.5194/nhess-24-947-2024, https://doi.org/10.5194/nhess-24-947-2024, 2024
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The research validates and optimizes an automated approach for creating classified snow avalanche terrain maps using open-source geospatial modeling tools. Validation is based on avalanche-expert-based maps for two study areas. Our results show that automated maps have an overall accuracy equivalent to the average accuracy of three human maps. Automated mapping requires a fraction of the time and cost of traditional methods and opens the door for large-scale mapping of mountainous terrain.
Conor Hackett, Rafael de Andrade Moral, Gourav Mishra, Tim McCarthy, and Charles Markham
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-27, https://doi.org/10.5194/nhess-2024-27, 2024
Revised manuscript accepted for NHESS
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This paper reviews existing wildfire propagation models and a comparison of different grid types including random grids to simulate wildfires. This paper finds that irregular grids simulate wildfires more efficiently than continuous models while still retaining a reasonable level of similarity. It also shows that irregular grids tend to retain greater similarity to continuous models than regular grids at the cost of slightly longer computational times.
Jonas Mortelmans, Anne Felsberg, Gabriëlle J. M. De Lannoy, Sander Veraverbeke, Robert D. Field, Niels Andela, and Michel Bechtold
Nat. Hazards Earth Syst. Sci., 24, 445–464, https://doi.org/10.5194/nhess-24-445-2024, https://doi.org/10.5194/nhess-24-445-2024, 2024
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With global warming increasing the frequency and intensity of wildfires in the boreal region, accurate risk assessments are becoming more crucial than ever before. The Canadian Fire Weather Index (FWI) is a renowned system, yet its effectiveness in peatlands, where hydrology plays a key role, is limited. By incorporating groundwater data from numerical models and satellite observations, our modified FWI improves the accuracy of fire danger predictions, especially over summer.
Timothy W. Juliano, Fernando Szasdi-Bardales, Neil P. Lareau, Kasra Shamsaei, Branko Kosović, Negar Elhami-Khorasani, Eric P. James, and Hamed Ebrahimian
Nat. Hazards Earth Syst. Sci., 24, 47–52, https://doi.org/10.5194/nhess-24-47-2024, https://doi.org/10.5194/nhess-24-47-2024, 2024
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Following the destructive Lahaina Fire in Hawaii, our team has modeled the wind and fire spread processes to understand the drivers of this devastating event. The simulation results show that extreme winds with high variability, a fire ignition close to the community, and construction characteristics led to continued fire spread in multiple directions. Our results suggest that available modeling capabilities can provide vital information to guide decision-making during wildfire events.
Stephanie Mayer, Frank Techel, Jürg Schweizer, and Alec van Herwijnen
Nat. Hazards Earth Syst. Sci., 23, 3445–3465, https://doi.org/10.5194/nhess-23-3445-2023, https://doi.org/10.5194/nhess-23-3445-2023, 2023
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We present statistical models to estimate the probability for natural dry-snow avalanche release and avalanche size based on the simulated layering of the snowpack. The benefit of these models is demonstrated in comparison with benchmark models based on the amount of new snow. From the validation with data sets of quality-controlled avalanche observations and danger levels, we conclude that these models may be valuable tools to support forecasting natural dry-snow avalanche activity.
Wei Yang, Zhongyan Wang, Baosheng An, Yingying Chen, Chuanxi Zhao, Chenhui Li, Yongjie Wang, Weicai Wang, Jiule Li, Guangjian Wu, Lin Bai, Fan Zhang, and Tandong Yao
Nat. Hazards Earth Syst. Sci., 23, 3015–3029, https://doi.org/10.5194/nhess-23-3015-2023, https://doi.org/10.5194/nhess-23-3015-2023, 2023
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We present the structure and performance of the early warning system (EWS) for glacier collapse and river blockages in the southeastern Tibetan Plateau. The EWS warned of three collapse–river blockage chain events and seven small-scale events. The volume and location of the collapses and the percentage of ice content influenced the velocities of debris flows. Such a study is helpful for understanding the mechanism of glacier hazards and for establishing similar EWSs in other high-risk regions.
Alba Marquez Torres, Giovanni Signorello, Sudeshna Kumar, Greta Adamo, Ferdinando Villa, and Stefano Balbi
Nat. Hazards Earth Syst. Sci., 23, 2937–2959, https://doi.org/10.5194/nhess-23-2937-2023, https://doi.org/10.5194/nhess-23-2937-2023, 2023
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Only by mapping fire risks can we manage forest and prevent fires under current and future climate conditions. We present a fire risk map based on k.LAB, artificial-intelligence-powered and open-source software integrating multidisciplinary knowledge in near real time. Through an easy-to-use web application, we model the hazard with 84 % accuracy for Sicily, a representative Mediterranean region. Fire risk analysis reveals 45 % of vulnerable areas face a high probability of danger in 2050.
Elisabeth D. Hafner, Frank Techel, Rodrigo Caye Daudt, Jan Dirk Wegner, Konrad Schindler, and Yves Bühler
Nat. Hazards Earth Syst. Sci., 23, 2895–2914, https://doi.org/10.5194/nhess-23-2895-2023, https://doi.org/10.5194/nhess-23-2895-2023, 2023
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Oftentimes when objective measurements are not possible, human estimates are used instead. In our study, we investigate the reproducibility of human judgement for size estimates, the mappings of avalanches from oblique photographs and remotely sensed imagery. The variability that we found in those estimates is worth considering as it may influence results and should be kept in mind for several applications.
Gerardo Romano, Marco Antonellini, Domenico Patella, Agata Siniscalchi, Andrea Tallarico, Simona Tripaldi, and Antonello Piombo
Nat. Hazards Earth Syst. Sci., 23, 2719–2735, https://doi.org/10.5194/nhess-23-2719-2023, https://doi.org/10.5194/nhess-23-2719-2023, 2023
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The Nirano Salse (northern Apennines, Italy) is characterized by several active mud vents and hosts thousands of visitors every year. New resistivity models describe the area down to 250 m, improving our geostructural knowledge of the area and giving useful indications for a better understanding of mud volcano dynamics and for the better planning of safer tourist access to the area.
Harry Podschwit, William Jolly, Ernesto Alvarado, Andrea Markos, Satyam Verma, Sebastian Barreto-Rivera, Catherine Tobón-Cruz, and Blanca Ponce-Vigo
Nat. Hazards Earth Syst. Sci., 23, 2607–2624, https://doi.org/10.5194/nhess-23-2607-2023, https://doi.org/10.5194/nhess-23-2607-2023, 2023
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We developed a model of fire spread that assumes that fire spreads in all directions at a constant speed and is extinguished at a constant rate. The model was fitted to 1003 fires in Peru between 2001 and 2020 using satellite burned area data from the GlobFire project. We fitted statistical models that predicted the spread and extinguish rates based on weather and land cover variables and found that these variables were good predictors of the spread and extinguish rates.
Anushilan Acharya, Jakob F. Steiner, Khwaja Momin Walizada, Salar Ali, Zakir Hussain Zakir, Arnaud Caiserman, and Teiji Watanabe
Nat. Hazards Earth Syst. Sci., 23, 2569–2592, https://doi.org/10.5194/nhess-23-2569-2023, https://doi.org/10.5194/nhess-23-2569-2023, 2023
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All accessible snow and ice avalanches together with previous scientific research, local knowledge, and existing or previously active adaptation and mitigation solutions were investigated in the high mountain Asia (HMA) region to have a detailed overview of the state of knowledge and identify gaps. A comprehensive avalanche database from 1972–2022 is generated, including 681 individual events. The database provides a basis for the forecasting of avalanche hazards in different parts of HMA.
Caili Zhong, Sibo Cheng, Matthew Kasoar, and Rossella Arcucci
Nat. Hazards Earth Syst. Sci., 23, 1755–1768, https://doi.org/10.5194/nhess-23-1755-2023, https://doi.org/10.5194/nhess-23-1755-2023, 2023
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This paper introduces a digital twin fire model using machine learning techniques to improve the efficiency of global wildfire predictions. The proposed model also manages to efficiently adjust the prediction results thanks to data assimilation techniques. The proposed digital twin runs 500 times faster than the current state-of-the-art physics-based model.
Abby Morgan, Pascal Haegeli, Henry Finn, and Patrick Mair
Nat. Hazards Earth Syst. Sci., 23, 1719–1742, https://doi.org/10.5194/nhess-23-1719-2023, https://doi.org/10.5194/nhess-23-1719-2023, 2023
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The avalanche danger scale is a critical component for communicating the severity of avalanche hazard conditions to the public. We examine how backcountry recreationists in North America understand and use the danger scale for planning trips into the backcountry. Our results provide an important user perspective on the strengths and weaknesses of the existing scale and highlight opportunities for future improvements.
Adrián Cardíl, Victor M. Tapia, Santiago Monedero, Tomás Quiñones, Kerryn Little, Cathelijne R. Stoof, Joaquín Ramirez, and Sergio de-Miguel
Nat. Hazards Earth Syst. Sci., 23, 361–373, https://doi.org/10.5194/nhess-23-361-2023, https://doi.org/10.5194/nhess-23-361-2023, 2023
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This study aims to unravel large-fire behavior in northwest Europe, a temperate region with a projected increase in wildfire risk. We propose a new method to identify wildfire rate of spread from satellites because it is important to know periods of elevated fire risk for suppression methods and land management. Results indicate that there is a peak in the area burned and rate of spread in the months of March and April, and there are significant differences for forest-type land covers.
Liam S. Taylor, Duncan J. Quincey, and Mark W. Smith
Nat. Hazards Earth Syst. Sci., 23, 329–341, https://doi.org/10.5194/nhess-23-329-2023, https://doi.org/10.5194/nhess-23-329-2023, 2023
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Hazards from glaciers are becoming more likely as the climate warms, which poses a threat to communities living beneath them. We have developed a new camera system which can capture regular, high-quality 3D models to monitor small changes in glaciers which could be indicative of a future hazard. This system is far cheaper than more typical camera sensors yet produces very similar quality data. We suggest that deploying these cameras near glaciers could assist in warning communities of hazards.
Bastian Bergfeld, Alec van Herwijnen, Grégoire Bobillier, Philipp L. Rosendahl, Philipp Weißgraeber, Valentin Adam, Jürg Dual, and Jürg Schweizer
Nat. Hazards Earth Syst. Sci., 23, 293–315, https://doi.org/10.5194/nhess-23-293-2023, https://doi.org/10.5194/nhess-23-293-2023, 2023
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For a slab avalanche to release, the snowpack must facilitate crack propagation over large distances. Field measurements on crack propagation at this scale are very scarce. We performed a series of experiments, up to 10 m long, over a period of 10 weeks. Beside the temporal evolution of the mechanical properties of the snowpack, we found that crack speeds were highest for tests resulting in full propagation. Based on these findings, an index for self-sustained crack propagation is proposed.
Sigrid Jørgensen Bakke, Niko Wanders, Karin van der Wiel, and Lena Merete Tallaksen
Nat. Hazards Earth Syst. Sci., 23, 65–89, https://doi.org/10.5194/nhess-23-65-2023, https://doi.org/10.5194/nhess-23-65-2023, 2023
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In this study, we developed a machine learning model to identify dominant controls of wildfire in Fennoscandia and produce monthly fire danger probability maps. The dominant control was shallow-soil water anomaly, followed by air temperature and deep soil water. The model proved skilful with a similar performance as the existing Canadian Forest Fire Weather Index (FWI). We highlight the benefit of using data-driven models jointly with other fire models to improve fire monitoring and prediction.
Yi Victor Wang and Antonia Sebastian
Nat. Hazards Earth Syst. Sci., 22, 4103–4118, https://doi.org/10.5194/nhess-22-4103-2022, https://doi.org/10.5194/nhess-22-4103-2022, 2022
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In this article, we propose an equivalent hazard magnitude scale and a method to evaluate and compare the strengths of natural hazard events across different hazard types, including earthquakes, tsunamis, floods, droughts, forest fires, tornadoes, cold waves, heat waves, and tropical cyclones. With our method, we determine that both the February 2021 North American cold wave event and Hurricane Harvey in 2017 were equivalent to a magnitude 7.5 earthquake in hazard strength.
Michael A. Storey and Owen F. Price
Nat. Hazards Earth Syst. Sci., 22, 4039–4062, https://doi.org/10.5194/nhess-22-4039-2022, https://doi.org/10.5194/nhess-22-4039-2022, 2022
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Models are needed to understand and predict pollutant output from forest fires so fire agencies can reduce smoke-related risks to human health. We modelled air quality (PM2.5) based on fire area and weather variables. We found fire area and boundary layer height were influential on predictions, with distance, temperature, wind speed and relative humidity also important. The models predicted reasonably accurately in comparison to other existing methods but would benefit from further development.
Tomás Calheiros, Akli Benali, Mário Pereira, João Silva, and João Nunes
Nat. Hazards Earth Syst. Sci., 22, 4019–4037, https://doi.org/10.5194/nhess-22-4019-2022, https://doi.org/10.5194/nhess-22-4019-2022, 2022
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Fire weather indices are used to assess the effect of weather on wildfires. Fire weather risk was computed and combined with large wildfires in Portugal. Results revealed the influence of vegetation cover: municipalities with a prevalence of shrublands, located in eastern parts, burnt under less extreme conditions than those with higher forested areas, situated in coastal regions. These findings are a novelty for fire science in Portugal and should be considered for fire management.
Ana C. L. Sá, Bruno Aparicio, Akli Benali, Chiara Bruni, Michele Salis, Fábio Silva, Martinho Marta-Almeida, Susana Pereira, Alfredo Rocha, and José Pereira
Nat. Hazards Earth Syst. Sci., 22, 3917–3938, https://doi.org/10.5194/nhess-22-3917-2022, https://doi.org/10.5194/nhess-22-3917-2022, 2022
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Assessing landscape wildfire connectivity supported by wildfire spread simulations can improve fire hazard assessment and fuel management plans. Weather severity determines the degree of fuel patch connectivity and thus the potential to spread large and intense wildfires. Mapping highly connected patches in the landscape highlights patch candidates for prior fuel treatments, which ultimately will contribute to creating fire-resilient Mediterranean landscapes.
Simon K. Allen, Ashim Sattar, Owen King, Guoqing Zhang, Atanu Bhattacharya, Tandong Yao, and Tobias Bolch
Nat. Hazards Earth Syst. Sci., 22, 3765–3785, https://doi.org/10.5194/nhess-22-3765-2022, https://doi.org/10.5194/nhess-22-3765-2022, 2022
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This study demonstrates how the threat of a very large outburst from a future lake can be feasibly assessed alongside that from current lakes to inform disaster risk management within a transboundary basin between Tibet and Nepal. Results show that engineering measures and early warning systems would need to be coupled with effective land use zoning and programmes to strengthen local response capacities in order to effectively reduce the risk associated with current and future outburst events.
Markéta Součková, Roman Juras, Kryštof Dytrt, Vojtěch Moravec, Johanna Ruth Blöcher, and Martin Hanel
Nat. Hazards Earth Syst. Sci., 22, 3501–3525, https://doi.org/10.5194/nhess-22-3501-2022, https://doi.org/10.5194/nhess-22-3501-2022, 2022
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Avalanches are natural hazards that threaten people and infrastructure. With climate change, avalanche activity is changing. We analysed the change in frequency and size of avalanches in the Krkonoše Mountains, Czechia, and detected important variables with machine learning tools from 1979–2020. Wet avalanches in February and March have increased, and slab avalanches have decreased and become smaller. The identified variables and their threshold levels may help in avalanche decision-making.
Annalie Dorph, Erica Marshall, Kate A. Parkins, and Trent D. Penman
Nat. Hazards Earth Syst. Sci., 22, 3487–3499, https://doi.org/10.5194/nhess-22-3487-2022, https://doi.org/10.5194/nhess-22-3487-2022, 2022
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Wildfire spatial patterns are determined by fire ignition sources and vegetation fuel moisture. Fire ignitions can be mediated by humans (owing to proximity to human infrastructure) or caused by lightning (owing to fuel moisture, average annual rainfall and local weather). When moisture in dead vegetation is below 20 % the probability of a wildfire increases. The results of this research enable accurate spatial mapping of ignition probability to aid fire suppression efforts and future research.
John Sykes, Pascal Haegeli, and Yves Bühler
Nat. Hazards Earth Syst. Sci., 22, 3247–3270, https://doi.org/10.5194/nhess-22-3247-2022, https://doi.org/10.5194/nhess-22-3247-2022, 2022
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Automated snow avalanche terrain mapping provides an efficient method for large-scale assessment of avalanche hazards, which informs risk management decisions for transportation and recreation. This research reduces the cost of developing avalanche terrain maps by using satellite imagery and open-source software as well as improving performance in forested terrain. The research relies on local expertise to evaluate accuracy, so the methods are broadly applicable in mountainous regions worldwide.
Cited articles
Abelson, M., Aksinenko, T., Kurzon, I., Pinsky, V., Baer, G., Nof, R., and
Yechieli, Y.: Nanoseismicity forecast sinkhole collapse in the Dead Sea coast
years in advance, Geology, 46, 83–86, https://doi.org/10.1130/G39579.1, 2017.
Amelung, F., Galloway, D. L., Bell, J. W., Zebker, H. A., and Laczniak, R.
J.: Sensing the ups and downs of Las Vegas: InSAR reveals structural control
of land subsidence and aquifer-system deformation, Geology, 27, 483–486,
https://doi.org/10.1130/0091-7613(1999)027<0483:STUADO>2.3.CO;2, 1999.
Atzori, S., Baer, G., Antonioli, A., and Salvi, S.: InSAR-based modelling and
analysis of sinkholes along the Dead Sea coastline, Geophys. Res. Lett., 42,
8383–8390. https://doi.org/10.1002/2015GL066053, 2015.
Baer, G., Schattner, U., Wachs D., Sandwell, D., Wdowinski, S., and Frydman,
S.: The lowest place on Earth is subsiding – An InSAR (Interferomeric
Synthetic Aperture Radar) Perspective, Geol. Soc. Am. Bull., 114, 12–23,
https://doi.org/10.1130/0016-7606(2002)114<0012:TLPOEI>2.0.CO;2, 2002.
Baldacci, F., Botti, F., Cioni, R., Molli, G., Pierotti, L., Scozzari, A.,
and Vaselli, L.: Geological-structural and hydrogeochemical studies to
identify sismically active structures: case history from the Equi
Terme-Monzone hydrothermal system (Northern Apennine – Italy), Geoitalia,
6th Italian Forum of Earth Sciences, 12–14 September 2007, Rimini, Italy,
2007.
Bencini, A., Duchi, V., and Martini, M.: Geochemistry of thermal springs of
Tuscany (Italy), Chem, Geol,, 19, 229–252, 1977.
Bennet, R. A., Serpelloni, E., Hreinsdottir, S., Brandon, M. T., Buble, G.,
Basic T., Casale, G., Cavaliere, A., Anzidei, M., Marjonovic, M., Minelli,
G., Molli, G., and Montanari, A.: Syn-convergent extension observed using the
RETREAT GPS network, northern Apennines, Italy, J. Geophys. Res., 117,
B04408, https://doi.org/10.1029/2011JB008744, 2012.
Berardino, P., Fornaro, G., Lanari, R., and Sansosti, E.: A new algorithm for
surface deformation monitoring based on Small Baseline Differential SAR
interferograms, Int. Geosci. Remote Se., 40, 2375–2383,
https://doi.org/10.1109/TGRS.2002.803792, 2002.
Bonini, M., Corti, G., Donne, D. D., Sani, F., Piccardi, L., Vannucci, G.,
Genco, R., Martelli, L., and Ripepe, M.: Seismic sources and stress transfer
interaction among axial normal faults and external thrust fronts in the
northern Apennines (Italy): a working hypothesis based on the 1916–1920
time-space cluster of earthquakes, Tectonophysics, 680, 67–89,
https://doi.org/10.1016/j.tecto.2016.04.045, 2016.
Buchignani, V., D'Amato Avanzi, G., Giannecchini, R., and Puccinelli, A.:
Evaporite karst and sinkholes: a synthesis on the case of Camaiore (Italy),
Environ. Geol., 53, 1037-1044, https://doi.org/10.1007/s00254-007-0730-x, 2008.
Caramanna, G., Ciotoli, G., and Nisio, S.: A review of natural sinkhole
phenomena in Italian plain areas, Nat. Hazards, 45, 145–172,
https://doi.org/10.1007/s11069-007-9165-7, 2008.
Castañeda, C., Gutiérrez, F., Manunta, M., and Galve, J. P.: DInSAR
measurements of ground deformation by sinkholes, mining subsidence, and
landslides, Ebro River, Spain, Earth Surf. Proc. Land., 34, 1562–1574,
https://doi.org/10.1002/esp.1848, 2009.
Casu, F., Elefante, S., Imperatore, P., Zinno, I., Manunta, M., De Luca, C.,
and Lanari, R: SBAS-DInSAR parallel processing for deformation time-series
computation, IEEE J. Sel. Top. Appl., 7, 3285–3296,
https://doi.org/10.1109/JSTARS.2014.2322671, 2014.
Cathleen, J. and Blom, R.: Bayou Corne, Louisiana, sinkhole: Precursory
deformation measured by radar interferometry, Geology, 42, 111–114,
https://doi.org/10.1130/G34972.1, 2014.
Chen, K. H., Nadeau, R. M., and Rau, R.: Characteristic repeating earthquakes
in an arc-continent collision boundary zone: The Chihshang fault of eastern
Taiwan, Earth Planet. Sc. Lett., 276, 262–272,
https://doi.org/10.1016/j.epsl.2008.09.021, 2008.
Cignetti, M., Manconi, A., Manunta, M., Giordan, D., De Luca, C., Allasia,
P., and Ardizzone, F.: Taking Advantage of the ESA G-POD Service to Study
Ground Deformation Processes in High Mountain Areas: A Valle d'Aosta Case
Study, Northern Italy, Remote Sensing, 8, 852, https://doi.org/10.3390/rs8100852,
2016.
Closson, D.: Structural control of sinkholes and subsidence hazards along the
Jordanian Dead Sea coast, Environ. Geol., 47, 290–301,
https://doi.org/10.1007/s00254-004-1155-4, 2005.
Closson, D., Karaki, N. A., Klinger, Y., and Hussein, M. J.: Subsidence and
Sinkhole Hazard Assessment in the Southern Dead Sea Area, Jordan, Pure Appl.
Geophys., 162, 221–248, https://doi.org/10.1007/s00024-004-2598-y, 2005.
Del Prete, S., Iovine, G., Parise, M., and Santo, A.: Origin and distribution
of different types of sinkholes in the plain areas of Southern Italy, Geodin.
Acta, 23, 113–127, https://doi.org/10.3166/ga.23.113-127, 2010.
De Luca, C., Cuccu, R., Elefante, S., Zinno, I., Manunta, M., Casola, V.,
Rivolta, G., Lanari, R., and Casu, F.: An On-Demand Web Tool for the
Unsupervised Retrieval of Earth's Surface Deformation from SAR Data: The
P-SBAS Service within the ESA G-POD Environment, Remote Sensing, 7,
15630–15650, https://doi.org/10.3390/rs71115630, 2015.
De Stefani, C.: Le Acque Termali di Pieve Fosciana, Memorie della Società
Toscana di Scienze Naturali, 4, 72–97, 1879.
Di Naccio, D., Boncio, P., Brozzetti, F., Pazzaglia, F. J., and Lavecchia,
G.: Morphotectonic analysis of the Lunigiana and Garfagnana grabens (northern
Apennines, Italy): Implications for active normal faulting, Geomorphology,
201, 293–311, https://doi.org/10.1016/j.geomorph.2013.07.003, 2013.
Doglioni, C.: A proposal for the kinematic modelling of the W-dipping
subduction – possible applications to the Tyrrhenian-Apennines system,
Terra Nova, 3, 423–434, https://doi.org/10.1111/j.1365-3121.1991.tb00172.x, 1991.
Elter, P., Giglia, G., Tongiorgi, M., and Trevisan, L.: Tensional and
compressional areas in the recent (Tortonian to Present) evolution of the
Northern Apennines, B. Geofis. Teor. Appl., 42, 3–18, 1975.
Faccenna, C., Florindo, F., Funiciello, R., and Lombardi, S.: Tectonic
setting and Sinkhole Features: case histories from Western Central Italy,
Quat. Proc., 3, 47–56, 1993.
Faccenna, C., Becker, T. W., Auer, L., Billi, A., Boschi, L., Brun, J.,
Capitanio, F. A., Funiciello, F., Horvàth, F., Jolivet, L., Piromallo,
C., Royden, L., Rossetti, F., and Serpelloni, E.: Mantle dynamics in the
Mediterranean, Rev. Geophys., 52, 28–332, https://doi.org/10.1002/2013RG000444, 2014.
Florea, L. J.: Using State-wide GIS data to identify the coincidence between
sinkholes and geologic structure, J. Cave Karst Stud., 67, 120–124, 2005.
Ford, D. C. and Williams, P.: Karst Hydrogeology and Geomorphology, Wiley,
Chichester, UK, 562 pp., 2007.
Frumkin, A. and Raz, E.: Collapse and subsidence associated with salt
karstification along the Dead Sea, Carbonate. Evaporite., 16, 117–130,
https://doi.org/10.1007/bf03175830, 2001.
Gherardi, F. and Pierotti, L.: The suitability of the Pieve Fosciana
hydrothermal system (Italy) as a detection site for geochemical seismic
precursors, Appl. Geochem., 92, 166–179,
https://doi.org/10.1016/j.apgeochem.2018.03.009, 2018.
Giovannetti, F.: Pieve Fosciana Ieri e Oggi, Amministrazione comunale di
Pieve Fosciana, Lucca, Italy, 51 pp., 1975.
Gutierréz, F., Guerrero, J., and Lucha, P.: A genetic classification of
sinkholes illustrated from evaporite paleokarst exposures in Spain, Environ.
Geol., 53, 993–1006, https://doi.org/10.1007/s00254-007-0727-5, 2008.
Gutierréz, F., Parise, M., De Waele J., and Jourde, H.: A review on
natural and human-induced geohazards and impacts in karst, Earth-Sci. Rev.,
138, 61–88, https://doi.org/10.1016/j.earscirev.2014.08.002, 2014.
Hanssen, R. F.: Radar Interferometry: Data Interpretation and Error Analysis,
Kluwer Academic Publisher, https://doi.org/10.1007/0-306-47633-9, 2001.
Harris, R. A.: Large earthquakes and creeping faults, Rev. Geophys., 55,
169–198, https://doi.org/10.1002/2016RG000539, 2017.
Harrison, R. W., Newell, W. L., and Necdet, M.: Karstification Along an
Active Fault Zone in Cyprus, U.S. Geological Survey Water-Resources
Investigations Report 02-4174, Atlanta, Georgia, USA, 2002.
Istituto Nazionale di Geofisica e Vulcanologia (INGV): Italian Seismological
Instrumental and Parametric Data-Base, ISIDe working group, version 1.0,
https://doi.org/10.13127/ISIDe, 2016.
Johnson, A. G., Kovach, R. L., and Nur, A.: Pore pressure changes during
creep events on the San Andreas Fault, J. Geophys. Res., 78, 851–857,
https://doi.org/10.1029/JB078i005p00851, 1973.
Kanamori, H.: The Energy Release in Great Earthquakes, J. Geophys. Res.,
82, 2981–2987, https://doi.org/10.1029/JB082i020p02981, 1977.
Kawashima, K., Aydan, O., Aoki, T., Kishimoto, I., Konagal, K., Matsui, T.,
Sakuta, J., Takahashi, N., Teodori, S.-P., and Yashima, A.: Reconnaissance
investigation on the damage of the 2009 L'Aquila, Central Italy earthquake,
J. Earthq. Eng., 14, 817–841, https://doi.org/10.1080/13632460903584055, 2010.
Le Breton, E., Handy, M., Molli, G., and Ustaszewski K.: Post-20 Ma Motion
of the Adriatic Plate: New Constraints from Surrounding Orogens and
Implications for Crust-Mantle Decoupling, Tectonics, 36, 3135–3154,
https://doi.org/10.1002/2016TC004443, 2017.
Linde, A. T., Gladwin, M. T., Johnston, M. J. S., Gwyther, R. L., and Bilham,
R. G.: A slow earthquake sequence on the San Andreas fault, Nature, 383,
65–68, https://doi.org/10.1038/383065a0, 1996.
Manzo, M., Ricciardi, G. P., Casu F., Ventura, G., Zeni, G., Borgström
S., Berardino, P., Del Gaudio, C., and Lanari, R.: Surface deformation
analysis in th Ischia Island (Italy) based on spaceborne radar
interferometry, J. Volcanol. Geoth. Res., 151, 399–416,
https://doi.org/10.1016/j.jvolgeores.2005.09.010, 2006.
Meletti, C., Patacca, E., and Scandone P.: Construction of a Seismotectonic
Model: The Case of Italy, Pure Appl. Geophys., 157, 11–35,
https://doi.org/10.1007/PL00001089, 2000.
Micklethwaite, S., Sheldon, H. A., and Baker, T.: Active fault and shear
processes and their implications for mineral deposit formation and discovery,
J. Struc. Geol., 32, 151–165, https://doi.org/10.1016/j.jsg.2009.10.009, 2010.
Molli, G., Torelli, L., and Storti, F.: The 2013 Lunigiana (Central Italy)
earthquake: Seismic source analysis from DInSar and seismological data, and
geodynamic implications for the northern Apennines. A discussion,
Tectonophysics, 668–669, 108–112, https://doi.org/10.1016/j.tecto.2015.07.041, 2016.
Molli, G., Pinelli, G., Bigot, A., Bennett, R., Malavieille, J., and
Serpelloni, E.: Active Faults in the inner northern Apennines: a
multidisciplinary reappraisal. From 1997 to 2016: Three Destructive
Earthquakes along the Central Apennnine Fault system, Camerino, Italy,
19–22 July 2017, Abstract Volume, p. 29, 2017.
Nadeau, R. M., Foxal, W., and McEvilly, T. V.: Clustering and Periodic
Recurrence of Microearthquakes on the San Andreas Fault at Parkfield,
California, Science, 267, 503–507, https://doi.org/10.1126/science.267.5197.503,
1995.
Nayak, A. and Dreger, D. S.: Moment Tensor Inversion of Seismic Events
Associated with the Sinkhole at Napoleonville Salt Dome, Louisiana, B.
Seismol. Soc. Am., 104, 1763–1776, https://doi.org/10.1785/0120130260, 2014.
Nishiguchi, T., Tsuchiya, S., and Imaizumi, F.: Detection and accuracy of
landslide movement by InSAR analysis using PALSAR-2 data, Landslides, 14,
1483–1490, https://doi.org/10.1007/s10346-017-0821-z, 2017.
Nisio, S.: The sinkholes in the Tuscany Region, in: Natural sinkhole
phenomena in the Italian plain area, Memorie descrittive della carta
geologica d'Italia, 85, Istituto Superiore per la Protezione e la Ricerca
Ambientale, Servizio Geologica d'Italia, 213–268, available at:
http://www.isprambiente.gov.it/it/pubblicazioni/periodici-tecnici/memorie-descrittive-della-carta-geologica-ditalia/i-fenomeni-naturali-di-sinkhole-nelle-aree-di
(last access: 11 September 2018), 2008.
Nof, R. N., Baer, G., Ziv, A., Raz, E., Atzori, S., and Salvi, S.: Sinkhole
precursors along the Dead Sea, Israel, revealed by SAR interferometry,
Geology, 41, 1019–1022, https://doi.org/10.1130/G34505.1, 2013.
Parise, M. and Vennari, C.: A chronological catalogue of sinkholes in Italy:
the first step toward a real evaluation of the sinkhole hazard, in: Sinkholes
and the Engineering and Environmental Impacts of Karst: Proceedings of the
Thirteenth Multidisciplinary Conference, edited by: Land, L., Doctor, D. H.,
and Stephenson, J. B., NCKRI Symposium 2, 6–10 May 2013, Carlsbad, New
Mexico, USA, National Cave and Karst Research Institute, Carlsbad (NM),
https://doi.org/10.5038/9780979542275.1149, 2013.
Parise, M., Perrone, A., Violante, C., Stewart, J. P., Simonelli, A., and
Guzzetti, F.: Activity of the Italian National Research Council in the
aftermath of the 6 April 2009 Abruzzo earthquake: the Sinizzo Lake case
study, Proc. 2nd Int. Workshop “Sinkholes in the Natural and Anthropogenic
Environment”, 3–4 December 2009, Rome, Italy, 623–641,
https://doi.org/10.13140/2.1.3094.1127, 2010.
Patacca, E. and Scandone, P.: Post-Tortonian mountain building in the
Apennines, the role of the passive sinking of a relic lithospheric slab, in:
The Lithosphere in Italy, Advances in Earth Science Research, 5–6 May 1987,
Rome, Itlay, 157–176, 1989.
Pepe, A. and Lanari, R.: On the extension of the minimum cost flow algorithm
for phase unwrapping of multitemporal differential SAR interferograms, IEEE
T. Geosci. Remote, 44, 2374–2383, https://doi.org/10.1109/TGRS.2006.873207, 2006.
Pezzo, G., Boncori, J. P. M., Atzori, S., Piccinini, D., Antonioli, A., and
Salvi, S.: The 2013 Lunigiana (Central Italy) earthquake: Seismic source
analysis from DInSAR and seismological data, and geodynamical implications
for the northern Apennines, Tectonophysics, 636, 315–324,
https://doi.org/10.1016/j.tecto.2014.09.005, 2014.
Pinelli, G.: Tettonica recente e attiva nell'Appennino interno a Nord
dell'Arno: una revisione delle strutture e delle problematiche, Diploma
Thesis, Dipartimento di Scienze della Terra, Università di Pisa, Italy,
89 pp., 2013.
Raffaelli, R.: Sulle acque termali di Pieve Fosciana in Garfagnana, Memoria
diretta al Consiglio Provinciale di Massa, Tipografia dei fratelli Nistri,
Pisa, Italy, 23 pp., 1869.
Rau, R., Chen, K. H., and Ching, K.: Repeating earthquakes and seismic
potential along the northern Longitudinal Valley fault of Taiwan, Geophys.
Res. Lett., 34, L24301, https://doi.org/10.1029/2007GL031622, 2007.
Regione Toscana: GEOscopio, Direzione urbanistica e poitivhe abitative,
Settore Sistema Informativo Territoriale ed Ambientale, available at:
http://www502.regione.toscana.it/geoscopio/cartoteca.html, last access:
11 September 2018.
Rovida, A., Locati, M., Camassi, R., Lolli, B., and Gasperini, P. (Eds.):
CPTI15, the 2015 version of the Parametric Catalogue of Italian Earthquakes,
Istituto Nazionale di Geofisica e Vulcanologia, https://doi.org/10.6092/INGV.IT-CPTI15,
2016.
Salamon, A.: Seismically induced ground effects of the February 11, 2004,
ML=5.2, North-eastern Dead Sea earthquake, The Ministry of
National Infrastructures, Geological Survey of Israel, Open File Report
GSI/30/04, 25 pp., available at:
http://www.isprambiente.gov.it/files/progetti/inqua/report-final.pdf
(last access: 11 September 2018), 2004.
Santo, A., Del Prete, S., Di Crescenzo, G., and Rotella, M.: Karst processes
and slope instability: some investigations in the carbonate Apennine of
Campania (southern Italy), in: Natural and Anthropogenic Hazards in Karst
Areas: Recognition, Analysis, and Mitigation, edited by: Parise, M. and Gunn,
J., Geological Society, London, 279, 59–72, https://doi.org/10.1144/SP279.6, 2007.
Scholz, C. H.: Earthquakes and friction laws, Nature, 391, 37–42,
https://doi.org/10.1038/34097, 1998.
Serpelloni, E., Anzidei, M., Baldi, P., Casula, G., and Galvani, A.: Crustal
velocity and strain -rate fields in Italy and surrounding regions: New
results from the analysis of permanent and non-permanent GPS networks,
Geophys. J. Int., 161, 861–880, https://doi.org/10.1111/j.1365-246X.2005.02618.x,
2005.
Shalev, E. and Lyakhovsky, V.: Viscoelastic damage modelling of sinkhole
formation, J. Struct. Geol., 42, 163–170, https://doi.org/10.1016/j.jsg.2012.05.010,
2012.
Sibson, R. H.: Structural permeability of fluid-driven fault-fracture meshes.
J. Struct. Geol., 18, 1031–1042, https://doi.org/10.1016/0191-8141(96)00032-6, 1996.
Stramondo, S., Vannoli, P., Cannelli, V., Polcari, M., Melini, D., Samsonov,
S., Moro, M., Bignami, C., and Saroli, M.: X- and C-band SAR surface
displacement for the 2013 Lunigiana earthquake (Northern Italy): a breached
relay ramp?, IEEE J. Sel. Top. Appl., 7, 2746–2753,
https://doi.org/10.1109/JSTARS.2014.2313640, 2014.
Tertulliani, A. and Maramai, A.: Macroseismic evidence and site effects for
the Lunigiana (Italy) 1995 Earthquake, J.Seismol., 2, 209–222,
https://doi.org/10.1023/A:1009734620985, 1998.
U.S. Geological Survey (USGS): EarthExplorer, U.S. Department of the
Interior, available at: https://earthexplorer.usgs.gov, last access:
11 September 2018.
Wadas, S. H., Tanner, D. C., Polom, U., and Krawczyk, C. M.: Structural
analysis of S-wave seismics around an urban sinkhole: evidence of enhanced
dissolution in a strike-slip fault zone, Nat. Hazards Earth Syst. Sci., 17,
2335–2350, https://doi.org/10.5194/nhess-17-2335-2017, 2017.
Wei, M., Sandwell, D., and Fialko, Y.: A silent Mw 4.7 slip event
of October 2006 on the Superstition Hills fault, southern California, J.
Geophys. Res., 114, B07402, https://doi.org/10.1029/2008JB006135, 2009.
Yarushina, V. M., Podladchikov, Y. Y., Minakov, A., and Räss, L.: On the
Mechanisms of Stress-Triggered Seismic Events during Fluid Injection, in:
Sixth Biot Conference on Poromechanics, 9–13 July 2017, Paris, France,
795–800, https://doi.org/10.1061/9780784480779.098, 2017.
Short summary
We use a multi-disciplinary dataset to show that the Prà di Lama sinkhole was created through several episodic events of unrest. We suggest that fluid circulation along an active fault zone, accompanied by localized seismic creep, control the growth of the Prà di Lama deep-sited sinkhole. Conversely, a connection between events of unrest and the largest earthquakes in northern Tuscany is not identified. This paper provides new insights into the evolution of sinkholes in active fault zones.
We use a multi-disciplinary dataset to show that the Prà di Lama sinkhole was created through...
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