• Natural Hazards and Earth System Sciences
• DOI 10.5194/nhess-25-2097-2025
• 4 July 2025

In post-disaster reconstruction, emphasis should be placed on critical and sensitive infrastructures. In Germany, as in other countries, sensitive infrastructures have not yet been focused on; therefore, we developed a method for determining the risk that sensitive infrastructures are facing in the context of riverine and pluvial flooding. The easy-to-use assessment framework can be applied to various sensitive infrastructures, e.g., to qualify and accelerate decisions in the reconstruction process.

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• Natural Hazards and Earth System Sciences
• DOI 10.5194/nhess-25-1681-2025
• 13 May 2025

Protecting lives and livelihoods during volcanic eruptions is the key challenge in volcanology. Analysing social media usage during volcanic crises can help us better understand the impacts of volcanic eruptions and how warning messages are received and actioned, to eventually better protect those people and their livelihoods. Our work shows how social media data could be used in real time during a volcanic crisis to learn more about volcanic eruptions.

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• Natural Hazards and Earth System Sciences
• DOI 10.5194/nhess-25-581-2025
• 12 February 2025

In July 2021, flooding killed 190 people in Germany, 134 of them in the Ahr valley, making it the deadliest flood in recent German history. The flash flood was extreme in terms of water levels, flow velocities and flood extent, and early warning and evacuation were inadequate. Many died on the ground floor or in the street, with older and impaired individuals especially vulnerable. Clear warnings should urge people to seek safety rather than save belongings, and timely evacuations are essential.

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• Natural Hazards and Earth System Sciences
• DOI 10.5194/nhess-25-383-2025
• 30 January 2025

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.

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• Natural Hazards and Earth System Sciences
• DOI 10.5194/nhess-25-353-2025
• 27 January 2025

We present a methodology to compile single hazards and multi-hazard interrelationships in data-scarce urban settings, which we apply to the Kathmandu Valley, Nepal. Using blended sources, we collate evidence of 21 single natural hazard types and 83 multi-hazard interrelationships that could impact the Kathmandu Valley. We supplement these exemplars with multi-hazard scenarios developed by practitioner stakeholders, emphasising the need for inclusive disaster preparedness and response approaches.

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• Natural Hazards and Earth System Sciences
• DOI 10.5194/nhess-25-287-2025
• 24 January 2025

This is the first study that uses spatial patterns (clusters/hotspots) and meta-analysis in order to identify the regions at a European level at risk of multi-hazards. The findings point out the socioeconomic dimension as a determining factor in the potential risk of multi-hazards. The outcome provides valuable input for the disaster risk management policy support and will assist national authorities on the implementation of a multi-hazard approach in national risk assessment preparation.

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• Natural Hazards and Earth System Sciences
• DOI 10.5194/nhess-25-267-2025
• 22 January 2025

Natural hazards like earthquakes often trigger other disasters, such as landslides, creating complex chains of impacts. We developed a risk model using a mathematical approach called hypergraphs to efficiently measure the impact of interconnected hazards. We showed that it can predict broad patterns of damage to buildings and roads from the 2015 Nepal earthquake. The model’s efficiency allows it to generate multiple disaster scenarios, even at a national scale, to support preparedness plans.

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• Natural Hazards and Earth System Sciences
• DOI 10.5194/nhess-24-4237-2024
• 5 December 2024

Droughts are a threat to agricultural crops, but different factors influence how much damage occurs. This is important to know to create meaningful risk maps and to evaluate adaptation options. We investigate the years 2013–2022 in Brandenburg, Germany, and find in particular the soil quality and meteorological drought in June to be statistically related to the observed damage. Measurement of crop health from satellites is also related to soil quality and not necessarily to anomalous yields.

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• Natural Hazards and Earth System Sciences
• DOI 10.5194/nhess-24-4015-2024
• 26 November 2024

Flood risk assessments help us decide how to reduce the risk of flooding. Since these assessments are based on probabilities, it is hard to check their accuracy by comparing them to past data. We suggest a new way to validate these assessments, making sure they are practical for real-life decisions. This approach looks at both the technical details and the real-world situations where decisions are made. We demonstrate its practicality by applying it to flood emergency planning.

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• Natural Hazards and Earth System Sciences
• DOI 10.5194/nhess-24-3561-2024
• 17 October 2024

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.

ERM-CH23">Read more