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ISSN: 2666-5921

Deterministic broadband ground motions for the 1905 Kangra earthquake using multiscale source model

The 1905 Mw 7.8 Kangra earthquake was a catastrophic event in Himalayan history, which caused widespread destruction in the near-fault region. This great historical earthquake remains inadequately understood...

A dynamic cartographic tool suite for coastal flooding vulnerability assessment

In this article we propose a generic cartographic toolkit for vulnerability assessment to hazard based on multi-criteria analysis, enabling the most vulnerable areas to be accurately mapped. To achieve...

The Dharali catastrophic disaster of 05th August 2025: A wake-up Call from the Kheer Ganga, NW Himalaya

The North-western (NW) Himalaya is highly vulnerable to climate-driven hazards, where glacial retreat, unstable slopes, and extreme rainfall exacerbate disaster risks. On August 5, 2025, a catastrophic...

Estimation of ground motion characteristics of the September 08, 2023 Morocco earthquake

The Mw 6.8 Morocco earthquake of September 8, 2023 was the country's most destructive seismic event in the last six decades, causing widespread devastation and over 3000 casualties across the High Atlas...

Geospatial system for wildfire monitoring and prediction using aerospace data

A unified wildfire early-warning system is assessed, linking Machine Learning (ML) detection with an observation-updated Cellular Automata (CA) spread model, relying only on data available at the time...

Advances in atmospheric, oceanic, and coupled models for meteorological forecasting

Numerical Weather Prediction (NWP) has evolved from atmospheric-only formulations to comprehensive Earth System Models (ESMs), driven by advances in model resolution, physical realism, and computational...

From ethical dilemmas to ethical cascading failure in disaster evacuation planning

Traditional disaster evacuation planning has long emphasised efficiency, typically by minimising evacuation time or cost. With increasing attention to equity and social sustainability, new conflicts...

Disastrous landslide events in the Sikkim Himalaya triggered by extreme early-monsoonal rainfall during May–June 2025

Sikkim is a hotspot of landslides, particularly along the cut slopes of the road corridors. Recently from the 28th May to 4th June 2025, Sikkim witnessed an extreme rainfall event, which triggered shallow-to-deep-seated...

Beyond the evacuation zone: Agricultural passes and the wildfire crisis in California

This study evaluates the Agricultural Pass (Ag Pass) program through a framework linking preparedness infrastructure, adaptive governance, and social capital to agricultural resilience during wildfire...

Deep transfer learning: new approach for predicting seismic vulnerability

Seismic areas known for the catastrophic impact in both human and material loss, are considered as areas where identifying and predicting vulnerability is challenging specially when data is unavailable...

A practical framework for rapid earthquake damage estimation through multi-vehicle coordination and inter-agency collaboration: Integration of genetic algorithms and RGB image analysis

Rapid and accurate assessment of building damage following large-scale earthquakes is essential for effective emergency response. This study proposes a practical framework that integrates camera-equipped...

Using deep learning to create an enhanced basemap from RGB satellite images for urban planning

Precise segmentation of high-resolution satellite imagery is critical for a wide range of geospatial applications, including urban planning, environmental monitoring, and renewable energy infrastructure...

A holistic geospatial framework for assessing disaster resilience in coastal Bangladesh

Coastal regions, while highly productive, are increasingly subjected to complex and interacting natural and anthropogenic stressors. For sustainable developement of these dynamic environments, systematic...

Does ENSO-driven climate variability increase coastal flooding? Insights from the Brebes coastal area, Indonesia

Coastal flooding remains a major challenge in Brebes, Central Java, where aquaculture and low-lying settlements are highly exposed to sea-level variability. While tides and land subsidence are recognized...

Long-Term Offending Patterns in Christchurch City Following the 2010–11 Earthquakes: Evidence by Income, Age, and Gender

•Christchurch earthquakes altered offending probabilities for a decade.•Combines Dynamic Difference-in-Differences and multinomial logistic regression models.•Links offender records and Inland Revenue...

A hybrid SAINT–NGBoost approach for stability assessment of cantilever flood walls in anisotropic clay

This study develops a hybrid machine-learning framework for predicting the normalized factor of safety, FS*, of cantilever flood walls embedded in anisotropic undrained shear (AUS) clay. A numerical...

Psychological preparedness and risk perception for predicting earthquake preparedness behavior among university students in Nepal

Understanding the drivers of earthquake preparedness behavior remains a critical challenge, particularly in contexts where awareness of earthquake risk is relatively high. This study examines the relative...

Spatial wildfire occurrence modelling in a subtropical ecosystem: A comparative evaluation of traditional and modern machine learning algorithms in the Sunshine Coast, Queensland, Australia

Spatial wildfire occurrence pattern estimation is critical for mitigating ecological and socio-economic impacts in fire-prone subtropical regions. This study presents a comparative evaluation of traditional...

Examining Disaster Response Self-Efficacy and Flood Preparedness Behavior Among Filipino Youth: Moderating Role of Frequent Flood Experience

This study investigates the relationship between disaster response self-efficacy and flood preparedness behavior among Filipino youth in Las Piñas City (LPC), with frequent flood experience (FFE) examined...

Spatially Explicit Ensemble Machine Learning for High-Resolution TVDI Mapping: Spatial Block Cross-Validation and SHAP Interpretability in a Topoclimatically Complex Mountainous Landscape

Accurate spatial characterization of drought patterns across topographically complex terrain remains a critical challenge for adaptive land and water management. This study develops a robust spatial...

Wildfire-induced elemental changes in drinking water reservoir sediments

Wildfires in forested source water areas increasingly threaten drinking water supplies amid climate and land use change. Fire-driven erosion and pollutant runoff can substantially degrade downstream...

A duration-dependent flood depth-damage function calibrated using FEMA NFIP claims from three U.S. hurricanes

Standard depth-damage functions used in climate risk assessment–including those underpinning CLIMADA and JRC impact models–treat flood damage as an instantaneous function of water depth, ignoring the...

Development characteristics and multifactorial coupling mechanisms of geohazards in a developed coastal region: A case study of Guangdong Province, China

To understand the developmental patterns and formation mechanisms of geohazards in developed coastal regions, this study takes Guangdong Province as an example and conducts a statistical analysis based...

An artificial fuzzy inference system combined with probabilistic methods for pre-earthquake building hazard risk assessments.

Fuzzy inference system (FIS) is one of the artificial intelligence methodologies that works linguistically based on numerical data to reach effective categories as antecedent scientific results. This...

Logistic Regression-Based Identification and Spatiotemporal Analysis of Low-Temperature Rain and Snow Disasters in Southern China

Low-Temperature Rain and Snow Disasters (LTRSDs) are recurrent winter hazards in southern China, yet their characteristics vary markedly under different winter climate backgrounds. Existing studies...

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