Articles | Volume 14, issue 4
https://doi.org/10.5194/nhess-14-773-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-14-773-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Brief communication
| 
10 Apr 2014
Brief communication |
| 10 Apr 2014
Brief Communication: Earthquake–cloud coupling through the global atmospheric electric circuit
R. G. Harrison
Department of Meteorology, University of Reading, Earley Gate, Reading RG6 6BB, UK
K. L. Aplin
Clarendon Laboratory, Denys Wilkinson Building, Keble Road, Oxford OX1 3RH, UK
M. J. Rycroft
CAESAR Consultancy, 35 Millington Road, Cambridge, CB3 9HW, UK, and Centre for Space, Atmospheric and Oceanic Sciences, University of Bath, Bath BA2 7AY, UK
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K. L. Aplin and R. G. Harrison
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Blair P. S. McGinness, R. Giles Harrison, Karen L. Aplin, and Martin W. Airey
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Point discharge is an electrical process which occurs naturally in Earth’s atmosphere. Like lightning, it has been observed both directly and indirectly for centuries. Several of the milestone investigations in atmospheric electricity have arisen through measuring point discharge. This work gives a history of various investigations involving the phenomenon and explains its central role in developments in atmospheric electricity.
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This paper reviews Michael Rycroft's career as part of his 80th birthday celebrations in terms of the social and structural changes in international science. His contributions to research, teaching, and management across solar–terrestrial and ionospheric physics, and atmospheric and space science are also discussed. The paper is based on primary sources combined with the recollections of colleagues.
Karen L. Aplin
Hist. Geo Space. Sci., 10, 267–268, https://doi.org/10.5194/hgss-10-267-2019, https://doi.org/10.5194/hgss-10-267-2019, 2019
Karen L. Aplin
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John Alan Chalmers spent almost 40 years working on atmospheric electricity at Durham University, UK. He is particularly remembered in the atmospheric physics community for his accessible and insightful textbook, Atmospheric Electricity. He also supervised over 35 research students. This article, inspired by a Royal Meteorological Society discussion meeting held at Durham, provides an overview of his background, scientific contributions, and legacy to modern atmospheric science.
K. L. Aplin and R. G. Harrison
Hist. Geo Space. Sci., 4, 83–95, https://doi.org/10.5194/hgss-4-83-2013, https://doi.org/10.5194/hgss-4-83-2013, 2013
Related subject area
Earthquake Hazards
Dynamic fragility of a slender rock pillar in a carbonate rock mass
Lesser Antilles seismotectonic zoning model for seismic hazard assessment
Consistency between a strain rate model and the ESHM20 earthquake rate forecast in Europe: insights for seismic hazard
A grid-level fixed-asset model developed for China from 1951 to 2020
The impact of active and capable faults structural complexity on seismic hazard assessment for the design of linear infrastructures
Research on the Extraction of Pre-Seismic Anomalies in Borehole Strain Data of the Mado Earthquake Based on the SVMD-Informer Model
An Updated, Homogeneous, and Declustered Earthquake Catalog for South Korea and Neighboring Regions
Towards a harmonized operational earthquake forecasting model for Europe
Insights into tectonic zonation models from the clustering analysis of seismicity in South and South-eastern Spain
Modeling seismic hazard and landslide occurrence probabilities in northwestern Yunnan, China: exploring complex fault systems with multi-segment rupturing in a block rotational tectonic zone
Development of a regional probabilistic seismic hazard model for Central Asia
Computing the time-dependent activity rate using non-declustered and declustered catalogues – a first step towards time-dependent seismic hazard calculations for operational earthquake forecasting
Analysis of borehole strain anomalies before the 2017 Jiuzhaigou Ms 7.0 earthquake based on a graph neural network
Testing the 2020 European Seismic Hazard Model (ESHM20) against observations from Romania
Sedimentary record of historical seismicity in a small, southern Oregon lake
A 2700-year record of Cascadia megathrust and crustal/slab earthquakes from Acorn Woman Lakes, Oregon
Implementation of an interconnected fault system in PSHA, example on the Levant fault
Probabilistic seismic hazard assessment of Sweden
Correlation between seismic activity and acoustic emission on the basis of in situ monitoring
The European Fault-Source Model 2020 (EFSM20): geologic input data for the European Seismic Hazard Model 2020
2021 Alaska earthquake: entropy approach to its precursors and aftershock regimes
Strategies for comparison of modern probabilistic seismic hazard models and insights from the Germany and France border region
An Ensemble Random Forest Model for Seismic Energy Forecast
The Earthquake Risk Model of Switzerland, ERM-CH23
Estimating ground motion intensities using simulation-based estimates of local crustal seismic response
Co- and postseismic subaquatic evidence for prehistoric fault activity near Coyhaique, Aysén Region, Chile
Forearc crustal faults as tsunami sources in the upper plate of the Lesser Antilles subduction zone: the case study of the Morne Piton fault system
The 2020 European Seismic Hazard Model: overview and results
Risk-informed representative earthquake scenarios for Valparaíso and Viña del Mar, Chile
Harmonizing seismicity information in Central Asian countries: earthquake catalogue and active faults
Comparing components for seismic risk modelling using data from the 2019 Le Teil (France) earthquake
Conversion relationships between Modified Mercalli Intensity and Peak Ground Acceleration for historical shallow crustal earthquakes in Mexico
Modelling seismic ground motion and its uncertainty in different tectonic contexts: challenges and application to the 2020 European Seismic Hazard Model (ESHM20)
Scoring and ranking probabilistic seismic hazard models: an application based on macroseismic intensity data
A dense micro-electromechanical system (MEMS)-based seismic network in populated areas: rapid estimation of exposure maps in Trentino (NE Italy)
Exploring inferred geomorphological sediment thickness as a new site proxy to predict ground-shaking amplification at regional scale: application to Europe and eastern Türkiye
Surface rupture kinematics of the 2020 Mw 6.6 Masbate (Philippines) earthquake determined from optical and radar data
The influence of aftershocks on seismic hazard analysis: a case study from Xichang and the surrounding areas
Characteristics and mechanisms of near-surface negative atmospheric electric field anomalies preceding the 5 September 2022, Ms 6.8 Luding earthquake in China
Seismogenic depth and seismic coupling estimation in the transition zone between Alps, Dinarides and Pannonian Basin for the new Slovenian seismic hazard model
Towards a dynamic earthquake risk framework for Switzerland
Understanding flow characteristics from tsunami deposits at Odaka, Joban Coast, using a deep neural network (DNN) inverse model
Spring water anomalies before two consecutive earthquakes (Mw 7.7 and Mw 7.6) in Kahramanmaraş (Türkiye) on 6 February 2023
The quest for reference stations at the National Observatory of Athens, Greece
Update on the seismogenic potential of the Upper Rhine Graben southern region
Earthquake forecasting model for Albania: the area source model and the smoothing model
The footprint of a historical paleoearthquake: the sixth-century-CE event in the European western Southern Alps
Seismic background noise levels in the Italian strong-motion network
Testing machine learning models for heuristic building damage assessment applied to the Italian Database of Observed Damage (DaDO)
The seismic hazard from the Lembang Fault, Indonesia, derived from InSAR and GNSS data
Alaa Jbara and Michael Tsesarsky
Nat. Hazards Earth Syst. Sci., 25, 2197–2213, https://doi.org/10.5194/nhess-25-2197-2025, https://doi.org/10.5194/nhess-25-2197-2025, 2025
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Fragile geologic features test long-term seismic hazard models. We modeled a free-standing 42 m high rock pillar in Israel’s Negev Desert using a validated finite-element model based on aerial lidar, in situ rock data, and measured vibrations. Dynamic analysis shows an M 7 quake on the Dead Sea Transform (45 km) will not break it, but an M 6 quake on the Sinai–Negev Shear Zone (6–20 km) probably will. With a fragility age of 11.4 kyr, the pillar challenges the SNSZ’s (Sinai–Negev Shear Zone) ability to produce M 6 events.
Océane Foix, Stéphane Mazzotti, Hervé Jomard, Didier Bertil, and the Lesser Antilles Working Group
Nat. Hazards Earth Syst. Sci., 25, 1881–1900, https://doi.org/10.5194/nhess-25-1881-2025, https://doi.org/10.5194/nhess-25-1881-2025, 2025
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By analyzing historical and instrumental seismic data, fault knowledge, and geodetic measurements, we provide a new understanding of seismic hazard in the Lesser Antilles via seismotectonic zoning. We propose new models that can have a significant impact on seismic hazard assessment, such as the inclusion of mantle wedge seismicity, the inclusion of volcanic seismicity, and a complete revision of the subduction interface zoning.
Bénédicte Donniol Jouve, Anne Socquet, Céline Beauval, Jesus Piña Valdès, and Laurentiu Danciu
Nat. Hazards Earth Syst. Sci., 25, 1789–1809, https://doi.org/10.5194/nhess-25-1789-2025, https://doi.org/10.5194/nhess-25-1789-2025, 2025
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We investigate how geodetic monitoring enhances accuracy in seismic hazard assessment. By utilizing geodetic strain rate maps for Europe and the European Seismic Hazard Model 2020 source model, we compare geodetic and seismic moment rates across the continent while addressing associated uncertainties. Our analysis reveals primary compatibility in high-activity zones. In well-constrained regions of lower activity, we also observed an overlap in the distribution of seismic and geodetic moments.
Danhua Xin, James Edward Daniell, Zhenguo Zhang, Friedemann Wenzel, Shaun Shuxun Wang, and Xiaofei Chen
Nat. Hazards Earth Syst. Sci., 25, 1597–1620, https://doi.org/10.5194/nhess-25-1597-2025, https://doi.org/10.5194/nhess-25-1597-2025, 2025
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A high-resolution fixed-asset model can help improve the accuracy of earthquake loss assessment. We develop a grid-level fixed-asset model for China from 1951 to 2020. We first compile the provincial-level fixed asset from yearbook-related statistics. Then, this dataset is disaggregated into 1 km × 1 km grids by using multiple remote sensing data as the weight indicator. We find that the fixed-asset value increased rapidly after the 1980s and reached CNY 589.31 trillion in 2020.
Selina Bonini, Riccardo Asti, Giulio Viola, Giulia Tartaglia, Stefano Rodani, Gianluca Benedetti, Massimo Comedini, and Gianluca Vignaroli
EGUsphere, https://doi.org/10.5194/egusphere-2025-506, https://doi.org/10.5194/egusphere-2025-506, 2025
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Considering the structural complexity related to the internal architecture of active and capable faults, seismic hazard may be linked to different fault attributes depending on the fault domain crossed by a linear infrastructure. We propose a structural geology-based approach for the preliminary study of the area potentially affected by earthquake-induced surface ruptures during infrastructural design, based on the geometric relationships between the active fault and the infrastructure itself.
Shanzhi Dong, Jie Zhang, Changfeng Qin, Yu Duan, Chenyang Li, Chengquan Chi, and Zhichao Zhang
EGUsphere, https://doi.org/10.5194/egusphere-2025-1130, https://doi.org/10.5194/egusphere-2025-1130, 2025
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This study proposes an anomaly detection method for borehole strain data based on the combination of segmented variational mode decomposition (SVMD) and Informer network. We believe that this study is an important contribution in the literature because it introduces a new method for predicting seismicity by combining advanced signal processing and machine learning techniques, showing its promising application in seismic network data analysis.
Soumya Kanti Maiti and Byungmin Kim
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-197, https://doi.org/10.5194/nhess-2024-197, 2025
Revised manuscript accepted for NHESS
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A unified earthquake catalog for South Korea and its surroundings was developed, containing 63,298 events. Four declustering methods including Gardner-Knopoff, Reasenberg, Uhrhammer, and Marsan were compared to identify the mainshocks. The catalog offers a reliable database for seismic hazard assessments and seismotectonic studies. It fills gaps in previous studies, providing up-to-date catalog for accurate seismic risk assessment and future earthquake forecasting in the region.
Marta Han, Leila Mizrahi, and Stefan Wiemer
Nat. Hazards Earth Syst. Sci., 25, 991–1012, https://doi.org/10.5194/nhess-25-991-2025, https://doi.org/10.5194/nhess-25-991-2025, 2025
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Relying on recent accomplishments of collecting and harmonizing data by the 2020 European Seismic Hazard Model (ESHM20) and leveraging advancements in state-of-the-art earthquake forecasting methods, we develop a harmonized earthquake forecasting model for Europe. We propose several model variants and test them on training data for consistency and on a 7-year testing period against each other, as well as against both a time-independent benchmark and a global time-dependent benchmark.
David Montiel-López, Antonella Peresan, Elisa Varini, and Sergio Molina
EGUsphere, https://doi.org/10.5194/egusphere-2025-556, https://doi.org/10.5194/egusphere-2025-556, 2025
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South and southeastern Spain has the highest seismicity in the country, but inconsistent fault data limits its use in seismic hazard assessment. This study applies the Nearest-Neighbor algorithm and graph theory to analyse clustering patterns. Two regions (western and eastern) with higher and lower (respectively) clustering complexities are identified. The results suggest alternative seismic zonation models, which could improve seismic hazard assessment.
Jia Cheng, Chong Xu, Xiwei Xu, Shimin Zhang, and Pengyu Zhu
Nat. Hazards Earth Syst. Sci., 25, 857–877, https://doi.org/10.5194/nhess-25-857-2025, https://doi.org/10.5194/nhess-25-857-2025, 2025
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The northwestern Yunnan region (NWYR), with a complex network of active faults, presents significant seismic hazards such as multi-segment ruptures and landslides. This article introduces a new seismic hazard model which integrates fault slip parameters to assess the risks associated with multi-segment ruptures. The results reveal the intricate relationship between these ruptures and the regional small block rotation induced by regional low-crustal flow and gravitational collapse.
Valerio Poggi, Stefano Parolai, Natalya Silacheva, Anatoly Ischuk, Kanatbek Abdrakhmatov, Zainalobudin Kobuliev, Vakhitkhan Ismailov, Roman Ibragimov, Japar Karaev, Paola Ceresa, Marco Santulin, and Paolo Bazzurro
Nat. Hazards Earth Syst. Sci., 25, 817–842, https://doi.org/10.5194/nhess-25-817-2025, https://doi.org/10.5194/nhess-25-817-2025, 2025
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A regionally consistent probabilistic risk assessment for multiple hazards and assets was developed under the Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia (SFRARR) programme, supported by the European Union, the World Bank, and the Global Facility for Disaster Reduction and Recovery. This paper outlines the preparation of the source model and presents key results of the probabilistic earthquake hazard analysis for the Central Asian countries.
David Montiel-López, Sergio Molina, Juan José Galiana-Merino, Igor Gómez, Alireza Kharazian, Juan Luis Soler-Llorens, José Antonio Huesca-Tortosa, Arianna Guardiola-Villora, and Gonzalo Ortuño-Sáez
Nat. Hazards Earth Syst. Sci., 25, 515–539, https://doi.org/10.5194/nhess-25-515-2025, https://doi.org/10.5194/nhess-25-515-2025, 2025
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We presents a comparison between different methods of computing the seismic activity rate in the time-dependent annual probability of exceedance (TD-APE) for a given earthquake in two areas: Italy (high seismicity) and Spain (moderate seismicity). Important changes in the TD-APE are seen in Italy before the L'Aquila earthquake, which can be related to foreshocks. In the case of Spain subtle changes are seen before some earthquakes. This approach could enable operational earthquake forecasting.
Chenyang Li, Changfeng Qin, Jie Zhang, Yu Duan, and Chengquan Chi
Nat. Hazards Earth Syst. Sci., 25, 231–245, https://doi.org/10.5194/nhess-25-231-2025, https://doi.org/10.5194/nhess-25-231-2025, 2025
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In this study, we advance the field of earthquake prediction by introducing a pre-seismic anomaly extraction method based on the structure of a graph WaveNet model, which reveals the temporal correlation and spatial correlation of the strain observation data from different boreholes prior to the occurrence of an earthquake event.
Elena F. Manea, Laurentiu Danciu, Carmen O. Cioflan, Dragos Toma-Danila, and Matthew C. Gerstenberger
Nat. Hazards Earth Syst. Sci., 25, 1–12, https://doi.org/10.5194/nhess-25-1-2025, https://doi.org/10.5194/nhess-25-1-2025, 2025
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We test and evaluate the results of the 2020 European Seismic Hazard Model (ESHM20) against observations spanning a few centuries at 12 cities in Romania. The full distributions of the hazard curves at the given locations were considered, and the testing was performed for two relevant peak ground acceleration (PGA) values. Our analysis suggests that the observed exceedance rates for the selected PGA levels are consistent with ESHM20 estimates.
Ann E. Morey, Mark D. Shapley, Daniel G. Gavin, Alan R. Nelson, and Chris Goldfinger
Nat. Hazards Earth Syst. Sci., 24, 4523–4561, https://doi.org/10.5194/nhess-24-4523-2024, https://doi.org/10.5194/nhess-24-4523-2024, 2024
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Disturbance events from historical sediments from a small lake in Oregon were evaluated to determine if Cascadia megathrust earthquakes are uniquely identifiable. Geochemical provenance data identify two likely Cascadia earthquakes, one from 1700 CE and the other from 1873 CE. A crustal earthquake deposit and flood deposits were also uniquely identified, suggesting that small Cascadia lakes are good recorders of megathrust earthquakes and other disturbances.
Ann E. Morey and Chris Goldfinger
Nat. Hazards Earth Syst. Sci., 24, 4563–4584, https://doi.org/10.5194/nhess-24-4563-2024, https://doi.org/10.5194/nhess-24-4563-2024, 2024
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This study uses the characteristics from a deposit attributed to the 1700 CE Cascadia earthquake to identify other subduction-earthquake deposits in sediments from two lakes located near the California–Oregon border. Seven deposits were identified in these records, and an age–depth model suggests that these correlate in time to the largest Cascadia earthquakes preserved in the offshore record, suggesting that inland lakes can be good recorders of Cascadia earthquakes.
Sarah El Kadri, Celine Beauval, Marlene Brax, and Yann Klinger
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-184, https://doi.org/10.5194/nhess-2024-184, 2024
Revised manuscript accepted for NHESS
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Seismic hazard evaluation is required for establishing earthquake-resistant building codes. Our aim is to improve the quantification of seismic hazard in the Levant by including our knowledge on how faults may be interconnected. We build an earthquake forecast by redistributing the energy stored in the fault system over all possible earthquake ruptures. This interconnected fault model leads to seismic hazard maps where hazard is as high on secondary fault branches as on main branches.
Niranjan Joshi, Björn Lund, and Roland Roberts
Nat. Hazards Earth Syst. Sci., 24, 4199–4223, https://doi.org/10.5194/nhess-24-4199-2024, https://doi.org/10.5194/nhess-24-4199-2024, 2024
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Few large earthquakes and low occurrence rates make seismic hazard assessment of Sweden a challenging task. Recent expansion of the seismic network has improved the quality and quantity of the data recorded. We use these new data to estimate the Swedish seismic hazard using probabilistic methods to find that hazard was previously underestimated in the north. The north has the highest hazard in Sweden, with estimated mean peak ground acceleration of up to 0.06 g for a 475-year return period.
Zhiwen Zhu, Zihan Jiang, Federico Accornero, and Alberto Carpinteri
Nat. Hazards Earth Syst. Sci., 24, 4133–4143, https://doi.org/10.5194/nhess-24-4133-2024, https://doi.org/10.5194/nhess-24-4133-2024, 2024
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Since April 2023, an in situ experiment in a granite tunnel in Southeast China has been revealing strong correlations between acoustic emission signals and seismic activity. Acoustic emission bursts precede seismic events by approximately 17 h, with a notable decline in the b value and natural-time variance κ1. This research provides new evidence that acoustic emission can serve as an effective earthquake precursor.
Roberto Basili, Laurentiu Danciu, Céline Beauval, Karin Sesetyan, Susana Pires Vilanova, Shota Adamia, Pierre Arroucau, Jure Atanackov, Stéphane Baize, Carolina Canora, Riccardo Caputo, Michele Matteo Cosimo Carafa, Edward Marc Cushing, Susana Custódio, Mine Betul Demircioglu Tumsa, João C. Duarte, Athanassios Ganas, Julián García-Mayordomo, Laura Gómez de la Peña, Eulàlia Gràcia, Petra Jamšek Rupnik, Hervé Jomard, Vanja Kastelic, Francesco Emanuele Maesano, Raquel Martín-Banda, Sara Martínez-Loriente, Marta Neres, Hector Perea, Barbara Šket Motnikar, Mara Monica Tiberti, Nino Tsereteli, Varvara Tsironi, Roberto Vallone, Kris Vanneste, Polona Zupančič, and Domenico Giardini
Nat. Hazards Earth Syst. Sci., 24, 3945–3976, https://doi.org/10.5194/nhess-24-3945-2024, https://doi.org/10.5194/nhess-24-3945-2024, 2024
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This study presents the European Fault-Source Model 2020 (EFSM20), a dataset of 1248 geologic crustal faults and four subduction systems, each having the necessary parameters to forecast long-term earthquake occurrences in the European continent. This dataset constituted one of the main inputs for the recently released European Seismic Hazard Model 2020, a key instrument to mitigate seismic risk in Europe. EFSM20 adopts recognized open-standard formats, and it is openly accessible and reusable.
Eugenio E. Vogel, Denisse Pastén, Gonzalo Saravia, Michel Aguilera, and Antonio Posadas
Nat. Hazards Earth Syst. Sci., 24, 3895–3906, https://doi.org/10.5194/nhess-24-3895-2024, https://doi.org/10.5194/nhess-24-3895-2024, 2024
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For the first time, an entropy analysis has been performed in Alaska, a seismic-rich region located in a subduction zone that shows non-trivial behavior: the subduction arc changes seismic activity from the eastern zone to the western zone, showing a decrease in this activity along the subduction zone. This study shows how an entropy approach can help us understand seismicity in subduction zones.
Graeme Weatherill, Fabrice Cotton, Guillaume Daniel, Irmela Zentner, Pablo Iturrieta, and Christian Bosse
Nat. Hazards Earth Syst. Sci., 24, 3755–3787, https://doi.org/10.5194/nhess-24-3755-2024, https://doi.org/10.5194/nhess-24-3755-2024, 2024
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New generations of seismic hazard models are developed with sophisticated approaches to quantify uncertainties in our knowledge of earthquake processes. To understand why and how recent state-of-the-art seismic hazard models for France, Germany, and Europe differ despite similar underlying assumptions, we present a systematic approach to investigate model-to-model differences and to quantify and visualise them while accounting for their respective uncertainties.
Sukh Sagar Shukla, Jaya Dhanya, Praveen Kumar, Priyanka, and Varun Dutt
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-129, https://doi.org/10.5194/nhess-2024-129, 2024
Revised manuscript accepted for NHESS
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Earthquakes are among the most disastrous natural calamities due to the release of accumulated strain energy from continuous tectonic movements. It has potential of causing havoc both in terms of economic losses and loss of life. This paper presents a methodology to predict the earthquake in terms of seismic energy release for global region using ensembled machine learning technique and then same approach is tested for one of the most seismic active region of the world i.e., Western Himalayas.
Athanasios N. Papadopoulos, Philippe Roth, Laurentiu Danciu, Paolo Bergamo, Francesco Panzera, Donat Fäh, Carlo Cauzzi, Blaise Duvernay, Alireza Khodaverdian, Pierino Lestuzzi, Ömer Odabaşi, Ettore Fagà, Paolo Bazzurro, Michèle Marti, Nadja Valenzuela, Irina Dallo, Nicolas Schmid, Philip Kästli, Florian Haslinger, and Stefan Wiemer
Nat. Hazards Earth Syst. Sci., 24, 3561–3578, https://doi.org/10.5194/nhess-24-3561-2024, https://doi.org/10.5194/nhess-24-3561-2024, 2024
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The Earthquake Risk Model of Switzerland (ERM-CH23), released in early 2023, is the culmination of a multidisciplinary effort aiming to achieve, for the first time, a comprehensive assessment of the potential consequences of earthquakes on the Swiss building stock and population. ERM-CH23 provides risk estimates for various impact metrics, ranging from economic loss as a result of damage to buildings and their contents to human losses, such as deaths, injuries, and displaced population.
Himanshu Agrawal and John McCloskey
Nat. Hazards Earth Syst. Sci., 24, 3519–3536, https://doi.org/10.5194/nhess-24-3519-2024, https://doi.org/10.5194/nhess-24-3519-2024, 2024
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Rapidly expanding cities in earthquake-prone regions of the Global South often lack seismic event records, hindering accurate ground motion predictions for hazard assessment. Our study demonstrates that, despite these limitations, reliable predictions can be made using simulation-based methods for small (sub)urban units undergoing rapid development. High-resolution local geological data can reveal spatial variability in ground motions, aiding effective risk mitigation.
Morgan Vervoort, Katleen Wils, Kris Vanneste, Roberto Urrutia, Mario Pino, Catherine Kissel, Marc De Batist, and Maarten Van Daele
Nat. Hazards Earth Syst. Sci., 24, 3401–3421, https://doi.org/10.5194/nhess-24-3401-2024, https://doi.org/10.5194/nhess-24-3401-2024, 2024
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This study identifies a prehistoric earthquake around 4400 years ago near the city of Coyhaique (Aysén Region, Chilean Patagonia) and illustrates the potential seismic hazard in the region. We found deposits in lakes and a fjord that can be related to subaquatic and onshore landslides, all with a similar age, indicating that they were most likely caused by an earthquake. Through modeling we found that this was an earthquake of magnitude 6.3 to 7.0 on a fault near the city of Coyhaique.
Melody Philippon, Jean Roger, Jean-Frédéric Lebrun, Isabelle Thinon, Océane Foix, Stéphane Mazzotti, Marc-André Gutscher, Leny Montheil, and Jean-Jacques Cornée
Nat. Hazards Earth Syst. Sci., 24, 3129–3154, https://doi.org/10.5194/nhess-24-3129-2024, https://doi.org/10.5194/nhess-24-3129-2024, 2024
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Using novel geophysical datasets, we reassess the slip rate of the Morne Piton fault (Lesser Antilles) at 0.2 mm yr−1 by dividing by four previous estimations and thus increasing the earthquake time recurrence and lowering the associated hazard. We evaluate a plausible magnitude for a potential seismic event of Mw 6.5 ± 0.5. Our multi-segment tsunami model representative of the worst-case scenario gives an overview of tsunami generation if all the fault segments ruptured together.
Laurentiu Danciu, Domenico Giardini, Graeme Weatherill, Roberto Basili, Shyam Nandan, Andrea Rovida, Céline Beauval, Pierre-Yves Bard, Marco Pagani, Celso G. Reyes, Karin Sesetyan, Susana Vilanova, Fabrice Cotton, and Stefan Wiemer
Nat. Hazards Earth Syst. Sci., 24, 3049–3073, https://doi.org/10.5194/nhess-24-3049-2024, https://doi.org/10.5194/nhess-24-3049-2024, 2024
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The 2020 European Seismic Hazard Model (ESHM20) is the latest seismic hazard assessment update for the Euro-Mediterranean region. This state-of-the-art model delivers a broad range of hazard results, including hazard curves, maps, and uniform hazard spectra. ESHM20 provides two hazard maps as informative references in the next update of the European Seismic Design Code (CEN EC8), and it also provides a key input to the first earthquake risk model for Europe.
Hugo Rosero-Velásquez, Mauricio Monsalve, Juan Camilo Gómez Zapata, Elisa Ferrario, Alan Poulos, Juan Carlos de la Llera, and Daniel Straub
Nat. Hazards Earth Syst. Sci., 24, 2667–2687, https://doi.org/10.5194/nhess-24-2667-2024, https://doi.org/10.5194/nhess-24-2667-2024, 2024
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Seismic risk management uses reference earthquake scenarios, but the criteria for selecting them do not always consider consequences for exposed assets. Hence, we adopt a definition of representative scenarios associated with a return period and loss level to select such scenarios among a large set of possible earthquakes. We identify the scenarios for the residential-building stock and power supply in Valparaíso and Viña del Mar, Chile. The selected scenarios depend on the exposed assets.
Valerio Poggi, Stefano Parolai, Natalya Silacheva, Anatoly Ischuk, Kanatbek Abdrakhmatov, Zainalobudin Kobuliev, Vakhitkhan Ismailov, Roman Ibragimov, Japar Karaev, Paola Ceresa, and Paolo Bazzurro
Nat. Hazards Earth Syst. Sci., 24, 2597–2613, https://doi.org/10.5194/nhess-24-2597-2024, https://doi.org/10.5194/nhess-24-2597-2024, 2024
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As part of the Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia (SFRARR) programme, funded by the European Union in collaboration with the World Bank and GFDRR, a regionally consistent probabilistic multi-hazard and multi-asset risk assessment has been developed. This paper describes the preparation of the input datasets (earthquake catalogue and active-fault database) required for the implementation of the probabilistic seismic hazard model.
Konstantinos Trevlopoulos, Pierre Gehl, Caterina Negulescu, Helen Crowley, and Laurentiu Danciu
Nat. Hazards Earth Syst. Sci., 24, 2383–2401, https://doi.org/10.5194/nhess-24-2383-2024, https://doi.org/10.5194/nhess-24-2383-2024, 2024
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The models used to estimate the probability of exceeding a level of earthquake damage are essential to the reduction of disasters. These models consist of components that may be tested individually; however testing these types of models as a whole is challenging. Here, we use observations of damage caused by the 2019 Le Teil earthquake and estimations from other models to test components of seismic risk models.
Quetzalcoatl Rodríguez-Pérez and F. Ramón Zúñiga
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-92, https://doi.org/10.5194/nhess-2024-92, 2024
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Seismic intensity reflects earthquake damage, although this parameter is often subjective. On the other hand, peak acceleration values are a direct measure of earthquake effects. Seismic intensity was used to describe historical earthquakes, and its use is rare today. For this reason, it is important to have a relationship between these parameters of strong movements in order to predict the acceleration of historical earthquakes.
Graeme Weatherill, Sreeram Reddy Kotha, Laurentiu Danciu, Susana Vilanova, and Fabrice Cotton
Nat. Hazards Earth Syst. Sci., 24, 1795–1834, https://doi.org/10.5194/nhess-24-1795-2024, https://doi.org/10.5194/nhess-24-1795-2024, 2024
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The ground motion models (GMMs) selected for the 2020 European Seismic Hazard Model (ESHM20) and their uncertainties require adaptation to different tectonic environments. Using insights from new data, local experts and developments in the scientific literature, we further calibrate the ESHM20 GMM logic tree to capture previously unmodelled regional variation. We also propose a new scaled-backbone logic tree for application to Europe's subduction zones and the Vrancea deep seismic source.
Vera D'Amico, Francesco Visini, Andrea Rovida, Warner Marzocchi, and Carlo Meletti
Nat. Hazards Earth Syst. Sci., 24, 1401–1413, https://doi.org/10.5194/nhess-24-1401-2024, https://doi.org/10.5194/nhess-24-1401-2024, 2024
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We propose a scoring strategy to rank multiple models/branches of a probabilistic seismic hazard analysis (PSHA) model that could be useful to consider specific requests from stakeholders responsible for seismic risk reduction actions. In fact, applications of PSHA often require sampling a few hazard curves from the model. The procedure is introduced through an application aimed to score and rank the branches of a recent Italian PSHA model according to their fit with macroseismic intensity data.
Davide Scafidi, Alfio Viganò, Jacopo Boaga, Valeria Cascone, Simone Barani, Daniele Spallarossa, Gabriele Ferretti, Mauro Carli, and Giancarlo De Marchi
Nat. Hazards Earth Syst. Sci., 24, 1249–1260, https://doi.org/10.5194/nhess-24-1249-2024, https://doi.org/10.5194/nhess-24-1249-2024, 2024
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Our paper concerns the use of a dense network of low-cost seismic accelerometers in populated areas to achieve rapid and reliable estimation of exposure maps in Trentino (northeast Italy). These additional data, in conjunction with the automatic monitoring procedure, allow us to obtain dense measurements which only rely on actual recorded data, avoiding the use of ground motion prediction equations. This leads to a more reliable picture of the actual ground shaking.
Karina Loviknes, Fabrice Cotton, and Graeme Weatherill
Nat. Hazards Earth Syst. Sci., 24, 1223–1247, https://doi.org/10.5194/nhess-24-1223-2024, https://doi.org/10.5194/nhess-24-1223-2024, 2024
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Earthquake ground shaking can be strongly affected by local geology and is often amplified by soft sediments. In this study, we introduce a global geomorphological model for sediment thickness as a protentional parameter for predicting this site amplification. The results show that including geology and geomorphology in site-amplification predictions adds important value and that global or regional models for sediment thickness from fields beyond engineering seismology are worth considering.
Khelly Shan Sta. Rita, Sotiris Valkaniotis, and Alfredo Mahar Francisco Lagmay
Nat. Hazards Earth Syst. Sci., 24, 1135–1161, https://doi.org/10.5194/nhess-24-1135-2024, https://doi.org/10.5194/nhess-24-1135-2024, 2024
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The ground movement and rupture produced by the 2020 Masbate earthquake in the Philippines were studied using satellite data. We highlight the importance of the complementary use of optical and radar datasets. The slip measurements and field observations helped improve our understanding of the seismotectonics of the region, which is critical for seismic hazard studies.
Qing Wu, Guijuan Lai, Jian Wu, and Jinmeng Bi
Nat. Hazards Earth Syst. Sci., 24, 1017–1033, https://doi.org/10.5194/nhess-24-1017-2024, https://doi.org/10.5194/nhess-24-1017-2024, 2024
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Aftershocks are typically ignored for traditional probabilistic seismic hazard analyses, which underestimate the seismic hazard to some extent and may cause potential risks. A probabilistic seismic hazard analysis based on the Monte Carlo method was combined with the Omi–Reasenberg–Jones model to systematically study how aftershocks impact seismic hazard analyses. The influence of aftershocks on probabilistic seismic hazard analysis can exceed 50 %.
Lixin Wu, Xiao Wang, Yuan Qi, Jingchen Lu, and Wenfei Mao
Nat. Hazards Earth Syst. Sci., 24, 773–789, https://doi.org/10.5194/nhess-24-773-2024, https://doi.org/10.5194/nhess-24-773-2024, 2024
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The atmospheric electric field (AEF) is the bridge connecting the surface charges and atmospheric particle changes before an earthquake, which is essential for the study of the coupling process between the coversphere and atmosphere caused by earthquakes. This study discovers AEF anomalies before the Luding earthquake in 2022 and clarifies the relationship between the surface changes and atmosphere changes possibly caused by the earthquake.
Polona Zupančič, Barbara Šket Motnikar, Michele M. C. Carafa, Petra Jamšek Rupnik, Mladen Živčić, Vanja Kastelic, Gregor Rajh, Martina Čarman, Jure Atanackov, and Andrej Gosar
Nat. Hazards Earth Syst. Sci., 24, 651–672, https://doi.org/10.5194/nhess-24-651-2024, https://doi.org/10.5194/nhess-24-651-2024, 2024
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We considered two parameters that affect seismic hazard assessment in Slovenia. The first parameter we determined is the thickness of the lithosphere's section where earthquakes are generated. The second parameter is the activity of each fault, which is expressed by its average displacement per year (slip rate). Since the slip rate can be either seismic or aseismic, we estimated both components. This analysis was based on geological and seismological data and was validated through comparisons.
Maren Böse, Laurentiu Danciu, Athanasios Papadopoulos, John Clinton, Carlo Cauzzi, Irina Dallo, Leila Mizrahi, Tobias Diehl, Paolo Bergamo, Yves Reuland, Andreas Fichtner, Philippe Roth, Florian Haslinger, Frédérick Massin, Nadja Valenzuela, Nikola Blagojević, Lukas Bodenmann, Eleni Chatzi, Donat Fäh, Franziska Glueer, Marta Han, Lukas Heiniger, Paulina Janusz, Dario Jozinović, Philipp Kästli, Federica Lanza, Timothy Lee, Panagiotis Martakis, Michèle Marti, Men-Andrin Meier, Banu Mena Cabrera, Maria Mesimeri, Anne Obermann, Pilar Sanchez-Pastor, Luca Scarabello, Nicolas Schmid, Anastasiia Shynkarenko, Bozidar Stojadinović, Domenico Giardini, and Stefan Wiemer
Nat. Hazards Earth Syst. Sci., 24, 583–607, https://doi.org/10.5194/nhess-24-583-2024, https://doi.org/10.5194/nhess-24-583-2024, 2024
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Seismic hazard and risk are time dependent as seismicity is clustered and exposure can change rapidly. We are developing an interdisciplinary dynamic earthquake risk framework for advancing earthquake risk mitigation in Switzerland. This includes various earthquake risk products and services, such as operational earthquake forecasting and early warning. Standardisation and harmonisation into seamless solutions that access the same databases, workflows, and software are a crucial component.
Rimali Mitra, Hajime Naruse, and Tomoya Abe
Nat. Hazards Earth Syst. Sci., 24, 429–444, https://doi.org/10.5194/nhess-24-429-2024, https://doi.org/10.5194/nhess-24-429-2024, 2024
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This study estimates the behavior of the 2011 Tohoku-oki tsunami from its deposit distributed in the Joban coastal area. In this study, the flow characteristics of the tsunami were reconstructed using the DNN (deep neural network) inverse model, suggesting that the tsunami inundation occurred in the very high-velocity condition.
Sedat İnan, Hasan Çetin, and Nurettin Yakupoğlu
Nat. Hazards Earth Syst. Sci., 24, 397–409, https://doi.org/10.5194/nhess-24-397-2024, https://doi.org/10.5194/nhess-24-397-2024, 2024
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Two devastating earthquakes, Mw 7.7 and Mw 7.6, occurred in Türkiye on 6 February 2023. We obtained commercially bottled waters from two springs, 100 km from the epicenter of Mw 7.7. Samples of the first spring emanating from fault zone in hard rocks showed positive anomalies in major ions lasting for 6 months before the earthquake. Samples from the second spring accumulated in an alluvium deposit showed no anomalies. We show that pre-earthquake anomalies are geologically site-dependent.
Olga-Joan Ktenidou, Antonia Papageorgiou, Erion-Vasilis Pikoulis, Spyros Liakopoulos, Fevronia Gkika, Ziya Cekinmez, Panagiotis Savvaidis, Kalliopi Fragouli, and Christos P. Evangelidis
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-233, https://doi.org/10.5194/nhess-2023-233, 2024
Revised manuscript accepted for NHESS
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Greek seismic data are valuable in European and even global databases, due to its high seismicity and numerous seismic stations. Seismic data coming from stations that lie on rock (i.e., not soil) sits are particularly valuable in seismology to define reference ground conditions and ground motions. However, little knowledge exists yet on how rock stations in Greece behave. This is the first time the network of the National Observatory is studied systematically to reveal reference stations.
Sylvain Michel, Clara Duverger, Laurent Bollinger, Jorge Jara, and Romain Jolivet
Nat. Hazards Earth Syst. Sci., 24, 163–177, https://doi.org/10.5194/nhess-24-163-2024, https://doi.org/10.5194/nhess-24-163-2024, 2024
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The Upper Rhine Graben, located in France and Germany, is bordered by north–south-trending faults, posing a potential threat to dense population and infrastructures on the Alsace plain. We build upon previous seismic hazard studies of the graben by exploring uncertainties in greater detail, revisiting a number of assumptions. There is a 99 % probability that a maximum-magnitude earthquake would be below 7.3 if assuming a purely dip-slip mechanism or below 7.6 if assuming a strike-slip one.
Edlira Xhafaj, Chung-Han Chan, and Kuo-Fong Ma
Nat. Hazards Earth Syst. Sci., 24, 109–119, https://doi.org/10.5194/nhess-24-109-2024, https://doi.org/10.5194/nhess-24-109-2024, 2024
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Our study introduces new earthquake forecasting models for Albania, aiming to map out future seismic hazards. By analysing earthquakes from 1960 to 2006, we have developed models that predict where activity is most likely to occur, highlighting the western coast and southern regions as high-hazard zones. Our validation process confirms these models are effective tools for anticipating seismic events, offering valuable insights for earthquake preparedness and hazard assessment efforts.
Franz Livio, Maria Francesca Ferrario, Elisa Martinelli, Sahra Talamo, Silvia Cercatillo, and Alessandro Maria Michetti
Nat. Hazards Earth Syst. Sci., 23, 3407–3424, https://doi.org/10.5194/nhess-23-3407-2023, https://doi.org/10.5194/nhess-23-3407-2023, 2023
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Here we document the occurrence of an historical earthquake that occurred in the European western Southern Alps in the sixth century CE. Analysis of the effects due to earthquake shaking in the city of Como (N Italy) and a comparison with dated offshore landslides in the Alpine lakes allowed us to make an inference about the possible magnitude and the location of the seismic source for this event.
Simone Francesco Fornasari, Deniz Ertuncay, and Giovanni Costa
Nat. Hazards Earth Syst. Sci., 23, 3219–3234, https://doi.org/10.5194/nhess-23-3219-2023, https://doi.org/10.5194/nhess-23-3219-2023, 2023
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We analysed the background seismic noise for the Italian strong motion network by developing the Italian accelerometric low- and high-noise models. Spatial and temporal variations of the noise levels have been analysed. Several stations located near urban areas are affected by human activities, with high noise levels in the low periods. Our results provide an overview of the background noise of the strong motion network and can be used as a station selection criterion for future research.
Subash Ghimire, Philippe Guéguen, Adrien Pothon, and Danijel Schorlemmer
Nat. Hazards Earth Syst. Sci., 23, 3199–3218, https://doi.org/10.5194/nhess-23-3199-2023, https://doi.org/10.5194/nhess-23-3199-2023, 2023
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This study explores the efficacy of several machine learning models for damage characterization, trained and tested on the Database of Observed Damage (DaDO) for Italian earthquakes. Reasonable damage prediction effectiveness (68 % accuracy) is observed, particularly when considering basic structural features and grouping the damage according to the traffic-light-based system used during the post-disaster period (green, yellow, and red), showing higher relevancy for rapid damage prediction.
Ekbal Hussain, Endra Gunawan, Nuraini Rahma Hanifa, and Qori'atu Zahro
Nat. Hazards Earth Syst. Sci., 23, 3185–3197, https://doi.org/10.5194/nhess-23-3185-2023, https://doi.org/10.5194/nhess-23-3185-2023, 2023
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The earthquake potential of the Lembang Fault, located near the city of Bandung in West Java, Indonesia, is poorly understood. Bandung has a population of over 8 million people. We used satellite data to estimate the energy storage on the fault and calculate the likely size of potential future earthquakes. We use simulations to show that 1.9–2.7 million people would be exposed to high levels of ground shaking in the event of a major earthquake on the fault.
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