Recent Articles

Open access

ISSN: 2666-5921

Do natural hazard events and disasters trigger political and legislative change? A systematic scoping review of the impacts on commodity production

Food and fibre commodity production is fundamental to global food security and economic development. However, these commodities are vulnerable to different natural hazards. In this systematic scoping...

Comparative analysis of drought indices to characterize drought in agro-climatic zones of Assam, northeast region of India

Over the past two decades, Assam, a region prone to flooding, has seen frequent droughts due to reduced rainfall and rising temperatures. The study used different types of drought indices, including...

Optimized machine learning based model for the large-scale spatial prediction of landslides at Western Ghats in the State of Karnataka, India

The Western Ghats (WG) of India, as per National Disaster Management Authority (NDMA) statistics, is one of the most landslide-prone regions, with frequent monsoon-triggered landslips. Landslide susceptibility...

Enhancing the reliability of social vulnerability assessment to natural hazards through combined machine learning methods: A case study in Vietnam

Community risk from natural hazards depends on hazard, exposure, and vulnerability; therefore, effective risk reduction and resilience-building demand comprehensive scientific evaluations of vulnerability,...

Assessment of long-term spatiotemporal variability of vegetation drought and its link with teleconnection factors in Ethiopia

Vegetation drought, a pervasive natural hazard intensified by climate variability, threatens ecosystems and agriculture globally. Information concerning its spatiotemporal characteristics is essential...

Spline-based volume estimation of landslides using different DEMs: Case studies of the Kotropi and Prashar Lake landslides, Northwestern Himalaya

Landslides pose a significant threat to infrastructure, ecosystems, and human settlements in mountainous regions. Accurate estimation of landslide volume is crucial for hazard assessment and mitigation...

Future meteorological drought in Ethiopia using better performed ensemble Coupled Model Intercomparison Project 6 (CIMP6) climate models

Drought is a major hydro-meteorological hazard in Ethiopia, causing severe water shortages, loss of agricultural crops, and socio-economy challenges due to irregular precipitation and limited coping...

Impact of land use and climate change on flood hazards in the gojeb river catchment, upper Omo-Gibe River Basin, Ethiopia

Flooding and other hydrological hazards pose serious threats to human life and ecosystems worldwide. The Gojeb River Catchment in southwestern Ethiopia is increasingly vulnerable due to land use/land...

Global Knowledge Structure and Research Trends in Geological Hazard Recovery: A Comprehensive Bibliometric Analysis (1980–2025)

Despite four decades of research on geological disaster recovery, its global knowledge structure remains poorly systematized. No comprehensive bibliometric analysis has specifically mapped the knowledge...

Leveraging Social Media Data for Disaster Management in the Era of Large Language Models

In the event of crises, social media provides comprehensive situational knowledge that can facilitate disaster management and response. However, extracting meaningful insights from social media data...

Integrating Advanced Machine Learning and AHP for Spatio-Temporal Glacier Lake Outburst Flooding (GLOF) Susceptibility Mapping: A Case Study in Pakistan’s Central Karakoram National Park (CKNP) from 2010 to 2024

GLOFs pose significant risks in CKNP, home to 608 glaciers, including Baltoro. Previous research struggled to integrate upstream, downstream, environmental, and anthropogenic factors due to data heterogeneity....

Analysis of the compound disaster caused by extreme rainfall and landslides in Sumatra, Indonesia in 2025 and its implications for disaster prevention and mitigation

This study investigates the extreme rainfall–landslide–flood disaster chain in November 2025 on Sumatra Island, Indonesia. The event caused significant casualties and infrastructure damage, exposing...

HeritEdge: An Audit-Ready Mobile–Web Workflow for Municipal Exposure Inventories and Seismic Vulnerability Reporting

Reliable building-level exposure data remain a major bottleneck in municipal seismic risk assessment, particularly where inventories are fragmented, difficult to update, and weakly connected to quality-control...

Seismic Slope Stability Prediction Using an Optimized Deep and Cross Network: An AI-Based Approach

This paper aims to propose slope stability based on the critical unit weight of AUS clay while considering a linearly increasing undrained shear strength subjected to horizontal seismic acceleration...

From landslides to debris floods: Understanding cascading hazard mechanisms in the Nyamwamba catchment, Mt. Rwenzori, Uganda

Inaccessible regions in upstream areas of mountainous catchments are often exposed to hazards that can trigger subsequent events in more accessible downstream areas. However, the mechanisms underlying...

Riverine Flood Mapping Methods and Criteria: A Meta-Analysis Review and Synthesized Guidelines

River floods are the most destructive flood type, hence the need for accurate riverine flood mapping (RFM). Previous studies often chose methods and criteria subjectively or after extensive testing,...

Probabilistic Seismic Hazard Analysis based on Microtremor Data: A Site Effect Study for Earthquake Disaster Mitigation at Malang Regency, Indonesia

The 6.1 magnitude earthquake on April 10, 2021, with its hypocenter near the southern coast of Malang Regency, Indonesia, caused extensive damage, including in the Turen District. Turen District is...

Numerical and spatial assessment of coastal vegetation and topographic elevation for tsunami mitigation in southern Java

This study presents a numerical and spatial assessment of tsunami mitigation strategies using CADMAS-SURF 2D and ArcGIS. Two scenarios are evaluated: coastal vegetation belts and topographic elevation...

Hydrodynamic Reconstruction of the March 2024 Flood and Hazard Mapping in the Acre River Basin, Southwestern Amazon

Flood events have increasingly affected urban areas in the southwestern Amazon, raising concerns about the exposure of cities located along major river floodplains. This study investigates the March...

Development of a Rapid Post-Earthquake Pancake Collapse Detection and Mapping Method Based on Threshold Determination of Building Height Information: A Case Study of the 2024 Noto Peninsula Earthquake

During the “Information Gap” period immediately following a large-scale earthquake, rapidly and quantitatively assessing the damage across a wide area is extremely important for optimizing rescue operations....

Mapping Health Vulnerability in Australia in the Context of Environmental Disasters

Australia faces increasing health pressures from climate-related disasters, particularly bushfires and floods, which interact with existing social and geographic inequities. Traditional health indexes...

Research as Part of the Legislative Process: Lessons from a Statewide Study of Inclusive Emergency Alerts

Scientific research can help inform policy decisions, especially when research is integrated into the legislative process. This paper explores research included in Colorado House Bill 23-1237, which...

From coping to strategy: community adaptive-capacity pathways for flood resilience under unfolding climate complexities

The increasing prevalence and intensity of water-related disasters, particularly flooding, present significant challenges for communities in the Global South, where inadequate institutional support...

When Artificial Intelligence Meets Cultural Knowledge: Forecasting Storm Surge Risks, Predicting Disaster Preparedness, and Building Resilient Coastal Communities in the Philippines

This study assesses immediate storm surge impacts and community responses to Supertyphoon Pepito in Bicol, Philippines, and provides a comprehensive mixed-method analysis of storm surge risk and disaster...

Developing a Framework for Large Hail Prediction Utilizing Monthly Occurrence Probability and Storm Environments

Climate change is expected to influence the frequency and intensity of severe convective storms , with implications for large hail (LH) and associated economic losses. This study develops an empirical...

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