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ISSN: 2666-5921

A calibrated spatio-temporal machine learning model for tropical peatland fire risk

Tropical peatland fires are complex environmental hazards with significant impacts. However, existing fire risk approaches, including empirical drought-fire indices and machine learning models that...

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...

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...

Early warning systems in climate risk management: Roles and implementations in eradicating barriers and overcoming challenges

Early Warning Systems (EWS) are essential tools for alleviating the effects of natural hazards, particularly floods, cyclones, and droughts, by giving early warnings and actionable information. Currently,...

Preliminary analysis of the July 30, 2024, Wayanad landslide disaster in India: Causes and impacts

In recent years, with the increasingly pronounced trend of global climate warming, extreme weather events have become more frequent and intense, leading to a significant rise in the occurrence of natural...

Artificial intelligence and numerical weather prediction models: A technical survey

Can artificial intelligence (AI) models beat traditional numerical weather prediction (NWP) models based on physical principles? The rapid advancement of AI, inherent computational limitations of NWP...

Bagyong Kristine (TS Trami) in bicol, Philippines: Flood risk forecasting, disaster risk preparedness predictions and lived experiences through machine learning (ML), econometrics, and hermeneutic analysis

This work was conducted just two days after the onslaught of Bagyong Kristine (TS Trami) in October 2024 that flooded the Bicol Region, Philippines. We combined quantitative approaches (machine learning...

Unraveling the causes and impacts of increasing flood disasters in the kathmandu valley: Lessons from the unprecedented September 2024 floods

Understanding the underlying causes of flood disasters is essential not only for developing effective flood management strategies but also for evaluating past policies and mitigation efforts. This study...

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...

A review of socio-economic vulnerability: The emergence of its theoretical concepts, models and methodologies

The concept of vulnerability overarches as a multidisciplinary subject. The umbrella term is widely used in several disciplines namely sociology, public health, geography, and disaster studies. Broadly,...

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...

Disaster, risk and crises in tourism and hospitality field: A pathway toward tourism and hospitality management framework for resilience and recovery process

This study aims to review the documents in disasters, risk and crises to produce a generic model for developing a holistic framework in the tourism and hospitality industry. This study uses bibliometric...

Systemically important supply chains in crisis: Mapping disruptions and global ripple effects

This study explores the causes and effects of disruptions in systemically important supply chains (SISCs) using an integrated approach that combines Interpretive Structural Modeling (ISM) and Systems...

Physics-informed neural networks and variants in weather and hydrological modeling: a systematic review

Physics-informed neural networks (PINNs) and other physics-informed machine-learning techniques have proven to be a powerful way to link data-driven inference to governing equations in weather and hydrological...

Heat wave adaptation strategies among informal workers in an urban setting: A study in dhaka city, Bangladesh

With the increasing frequency and intensity of heatwaves globally, studying the adaptation strategies of informal workers, who constitute a significant and vulnerable segment of Dhaka's urban population,...

Floods in Pakistan: A state-of-the-art review

Floods inflict devastating impacts worldwide. The frequency and severity of floods have notably increased as a result of climate change. Pakistan, in particular, has experienced two of the most catastrophic...

Community resilience to natural disasters: A systemic review of contemporary methods and theories

Due to global climate change, community resilience to natural disasters has become a high priority in environmental research. Academicians and practitioners from different disciplines and organizations...

Effects of microplastics on soil physical, chemical and biological properties

Pollution from microplastics (MPs) is recognized as a significant new global change factor that may have an impact on ecosystem services and functions. Although it is known that soil ecosystems, especially...

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...

A review on the extreme rainfall studies in India

Climate vulnerability in the Indian region becomes a major concern due to the frequent hydro-meteorological extreme events throughout the year. The number of extreme rainfall events (ERE) associated...

Flood risk assessment of the Kosi River Basin in North Bihar using Synthetic Aperture Radar (SAR) data and AHP approach

Flood is a recurrent destructive natural calamity in the Kosi River Basin (KRB) in north Bihar in India. Geospatial modelling of these recurrent floods becomes imperative for effective disaster management....

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 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...

Current understanding and uncertainties associated with climate change and the impact on slope stability: A systematic literature review

This study provides a systematic literature review on the current understanding and uncertainties related to climate change and its impact on slope stability, a critical issue in civil engineering and...

Environmental and socioeconomic impacts of forest fires: A call for multilateral cooperation and management interventions

Fire is one of the dominant disturbances in forests that widely impacts the ecology, environment, and socioeconomics of nations across the globe. In view of setting priorities of nations for combating...

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