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Natural Hazards and Earth System Sciences
Scopus
ISSN 1561-8633 · Copernicus Publications · 4.623 artikel di indeks
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Multiscale modeling for coastal cities: addressing climate change impacts on flood events at urban-scale
This study presents an integrated modeling framework designed to bridge scales from regional to urban, enabling a detailed assessment of the impacts of future climate scenarios on three European coastal cities: Massa (Italy) and Vilanova (Spain) in the Mediterranean, and Oarsoaldea (Spain) in the…
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Brief communication: Towards disability inclusive risk management
People with disabilities face heightened vulnerability during disasters, yet they remain underrepresented in risk management planning and response. This brief communication reports findings from a pilot study in Tyrol, Austria, which assessed flood exposure and disaster preparedness in facilities…
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Flood risks to the financial stability of residential mortgage borrowers: an integrated modeling approach
Property damage from flooding creates urgent funding needs that uninsured households often struggle to meet, particularly when access to affordable credit is limited. While prior research links floods to higher rates of financial distress, little is known about the prevalence and drivers of credit…
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From typhoon rainfall to slope failure: optimizing susceptibility models and dynamic thresholds for landslide warnings in Zixing City, China
Typhoon-specific rainfall-induced landslides pose critical hazards in mountainous regions, yet existing warning systems inadequately capture the distinct rainfall dynamics of these extreme events. To address this limitation, we propose an integrated framework combining optimized susceptibility…
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Tsunamigenic potential of unstable masses in the Gulf of Pozzuoli, Campi Flegrei, Italy
Campi Flegrei, one of the most monitored and studied volcanic areas in the world, has recently attracted significant attention due to the reactivation of its peculiar activity, consisting of small earthquakes, geothermal phenomena and slow subsidence/rapid uplift cycles, known as bradyseism. While…
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Review article: Social media for managing disasters triggered by natural hazards: a critical review of data collection strategies and actionable insights
This paper presents a comprehensive critical review of 250 studies published between January 2010 and September 2023 that examine how social media data have been used to manage disasters triggered by natural hazards. The review focuses on data collection, processing, and analysis strategies, and…
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Large discrepancies between event- and response-based compound flood hazard estimates
Most flood hazard assessments follow the event-based approach, assuming that the probability of flooding approximates the probability of flood drivers. However, this approach neglects information about the temporal and spatial variability of flood drivers and flood processes such as water…
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Econometric modelling for estimating direct flood damage to firms: a micro-scale approach using post-event records in Italy
Managing flood risk is crucial for achieving global sustainability. Flood damage to firms' assets, in particular, imposes significant financial stress, necessitating efforts to minimize future consequences. However, current tools and knowledge for estimating flood damage to firms are inadequate…
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Brief Communication: Rejuvenating and strengthening the science–policy interface required to implement the Sendai Framework for Disaster Risk Reduction
Here we reflect on progress towards the Sendai Framework for Disaster Risk Reduction, focusing on the health of the global-level science–policy interface. Reflecting on the 2025 Global Platform for Disaster Reduction, we identify weaknesses in mechanisms for scientific engagement. While the Sendai…
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The first Earthquake Early Warning System for the high-speed railway in Italy: enhancing rapidness and operational efficiency during seismic events
Earthquake Early Warning (EEW) systems are modern, real-time seismic monitoring infrastructures capable of identifying relevant earthquakes and providing warnings to population and infrastructures, possibly before the arrival of the strongest shaking. Railway infrastructures represent a key target…
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Meteorological Drought Trend Analysis and Forecasting Using a Hybrid SG-CEEMDAN-ARIMA-LSTM Model Based on SPI from Rain Gauge Data
Meteorological drought presents considerable challenges to water supplies, agriculture, and socio-economic stability, especially in areas heavily reliant on precipitation. The Standardized Precipitation Index (SPI) is esteemed for its efficacy in drought monitoring, owing to its straightforwardness…
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Soil moisture monitoring with cosmogenic neutrons: an asset for the development and assessment of soil moisture products in the state of Brandenburg (Germany)
In the recent years, the German federal state of Brandenburg has been particularly impacted by soil moisture droughts. To support the timely and informed management of such water-related risks, we introduce a novel soil moisture monitoring network based on cosmic-ray neutron sensing (CRNS)…
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Bedrock ledges, colluvial wedges, and ridgetop wetlands: characterizing geomorphic and atmospheric controls on the 2023 Wrangell landslide to inform landslide assessment in Southeast Alaska, USA
In the past decade, several fatal landslides have impacted Southeast Alaska, highlighting the need to advance our understanding of regional geomorphic and atmospheric controls on triggering events and runout behaviour. A large and long runout landslide on Wrangell Island, with area in the top 0.5 %…
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Review article: Deep learning for potential landslide identification: data, models, applications, challenges, and opportunities
As global climate change and human activities escalate, the frequency and severity of landslide hazards have been increasing. Early identification, as an important prerequisite for monitoring, evaluation, and prevention, has become increasingly critical. Deep learning, as a powerful tool for data…
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Modelling the effectiveness of GLOF DRM measures – a case study from the Ala-Archa valley, Kyrgyz Republic
Disaster risk management (DRM) for glacial lake outburst floods (GLOFs) is critical due to the increasing risk posed by GLOFs to downstream communities and infrastructure. However, the effectiveness of DRM measures remains insufficiently understood, which hinders effective and target-oriented…
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Constantly renewing glacial lakes in the Kyrgyz Range, northern Tien Shan
In the Kyrgyz Range of the northern Tien Shan, Central Asia, glacial lakes have been a focus of monitoring due to the increasing concern over glacial lake outburst floods (GLOFs) in the context of notable glacier recession. This study investigates (1) the historical evolution in the number and area…
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A thorough review of the 5 May 1990 Potenza (Southern Italy) earthquake: constraints from macroseismology and insights from hydrology
The Potenza earthquake of 5 May 1990 (Mw 5.77) was a significant event for southern Italy, despite its moderate magnitude and limited damage. Previous macroseismic studies of this earthquake contained inconsistent and often exaggerated macroseismic intensity values, particularly in areas far from…
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Reducing risk together: moving towards a more holistic approach to multi-hazard and multi-risk assessment and management
Moving towards a more holistic approach to disaster risk management, in which a multi-hazard and multi-risk approach is central, offers many opportunities to increase society's resilience. In 2022, we presented a research agenda of six points that could contribute towards this paradigm shift. In…
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Droughts in South East Europe (SEE): current picture, tendencies and impact
Droughts are among the major challenges facing Europe and pose a significant threat to food security on a continental scale. The shifting of climatic zones is forcing societies to adopt measures to cope with climate extremes. However, the pace of adaptation is much slower than the rate of change…
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Numerical experiments of cloud seeding for mitigating localization of heavy rainfall: a case study of Mesoscale Convective System in Japan
This study investigated the potential of cloud seeding to mitigate extreme rainfall localization (i.e., overseeding) associated with mesoscale convective systems in Japan. Using a numerical weather prediction model, we conducted cloud seeding experiments by artificially increasing ice nuclei…
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