Articles tagged with Disaster Management
The CERCat consortium aims to improve the field of catastrophe modeling by uniting academic rigor with practical expertise, driving real-world solutions that enhance disaster resilience. The consortium is prioritizing projects on multihazard fragility curves, wildfire fragility curves, and AI-powered post-disaster damage assessment.
A new framework developed by Cranfield University aims to balance AI's benefits with safety and fairness concerns in disaster response. The study shows the framework outperforms human operators and conventional AI systems, providing 39% higher accuracy across various scenarios.
A team led by Joe Ripberger from the University of Oklahoma aims to create a unified national approach to wildfire warnings. The project will focus on understanding fire and atmospheric interactions, social and behavioral science questions, and building a transdisciplinary network with practitioners and researchers.
The University of Oklahoma is developing an AI-driven framework to predict tree failures before extreme weather events. The TREE-CARE project will integrate advanced technologies with local knowledge to develop solutions that directly benefit communities.
A new UC Berkeley-led study demonstrates how home hardening and defensible space can significantly reduce wildfire risk. The research found that these strategies, when combined, can double the number of homes that survive a blaze and reduce structure losses by up to 50%.
A study by University of New Hampshire researchers found that communities with higher walkability scores experienced a 4% reduction in average pandemic-related mental health deterioration. The study analyzed national census and survey data to measure the impact of walking on mental health during the pandemic.
Climate-related disasters pose significant disruptions to US drug manufacturing facilities, affecting nearly two-thirds of production sites. Researchers assessed the impact of disaster events on counties with US drug production facilities and found that nearly two-thirds were located in areas affected by at least one disaster declaration.
University of Houston researchers are developing an AI-powered dashboard for Florida food pantries, aiming to streamline stakeholder collaboration and distribute resources to families in need. The tool will enable emergency coordinators to respond quickly to spikes in demand, prioritizing the needs of vulnerable populations.
A new study by University of Virginia researchers reveals high rates of posttraumatic stress disorder (PTSD) and major depression among residents exposed to the 2023 chemical spill. The survey of 1,000 adults found elevated psychological toll with half reporting worsening physical health symptoms.
Researchers from Shibaura Institute of Technology used machine learning algorithms to predict bearing layer depth and assess liquefaction risk. The study found that random forest models outperformed others, especially with increasing spatial data density.
A Texas A&M University study reveals that community cohesion prior to a natural disaster is significantly linked to perceived resilience afterward. The research found that explicit strategies for building community trust and increasing volunteerism rates should be added to emergency preparedness programs.
A new framework developed by Northwestern University and UCLA scientists integrates various water-related processes with a machine-learning model to predict landslide threats. The framework identifies three main pathways leading to landslides: intense rainfall, rain on already saturated soils, and melting snow or ice.
The University of Tokyo researchers developed an unmanned aerial vehicle (UAV) that can withstand ocean currents and wind, enabling the acquisition of reliable seafloor measurements. The system achieved a horizontal root mean square error of approximately 1–2 cm, comparable to existing vessel-based systems.
The WUI-NITY simulator, developed by a global collaboration of researchers, visualises bushfire spread and people movement to calculate evacuation times. It has been validated in large-scale community evacuation drills and is freely available online for use by authorities and researchers.
Researchers developed a new equation to predict seismic wave propagation in magma containing crystals and bubbles, revealing how crystal content influences wave velocity and waveform properties. The analysis also showed that bubble content affects attenuation effects, with discernible differences emerging between models.
Researchers developed a new nanomaterial and fiber structure that improves power output of piezoelectric fibers, generating enough electricity to light LEDs or run small devices. The fiber sensor can detect external forces and transmit data wirelessly for real-time landslide detection systems.
A study proposes five action fronts for civil defense units to increase their organizational capacity, including professionalization and resource allocation. Municipalities face challenges such as monitoring urban expansion, lack of financial resources, and social participation.
Researchers from the Norwegian University of Science and Technology built three embankment dams to divert lava flows in Iceland, delaying the molten lava by up to 16 days. The dams were constructed using in situ material and showed promising results in protecting civil society and critical infrastructure.
Exposure to high levels of smoke pollution increases hospitalizations for respiratory diseases in older adults. The study highlights the need for interventions to mitigate the health impacts of wildfire smoke exposure.
A recent analysis found that rates of colorectal cancer diagnoses dropped during Hurricanes Irma and Maria and the COVID-19 pandemic in Puerto Rico, but late-stage diagnoses eventually exceeded expectations. Limited access to cancer screening services due to these disasters likely hindered timely CRC diagnoses.
A new AI-powered training platform is being developed to simulate pipeline incidents and provide real-world scenarios for pipeline operators. The platform will use artificial intelligence to create a realistic environment where teams can practice handling hazardous conditions and responding to emergencies.
A new study reveals that 81% of O’ahu's coastline could experience erosion by 2100, with a further 40% loss happening by 2030. The research used computer models incorporating satellite imagery to predict the seasonal movement of sand, resulting in more severe erosion projections than previous studies.
A new study reveals that two dam failures and flawed risk assessment amplified the Derna Flood, which was nearly twentyfold more destructive than expected. The research highlights the urgent need for improved flood mitigation strategies, especially in dryland regions.
Researchers have shown that earthquakes in the Marmara region transport a large amount of energy towards Istanbul, with most quakes exhibiting an eastward rupture direction. This finding has important implications for urban planning, emergency response, and seismic hazard maps, which will be taken into account in future studies.
A new book by Komla Dzigbede explores the ability of local governments to learn, adapt, and innovate in the face of major crises. The book analyzes disaster preparedness, response, and economic development post-disaster, offering practical lessons for local leaders.
A new study suggests that artificial intelligence can effectively detect wildfires in the Amazon rainforest, using satellite imaging and deep learning. The technology achieved a 93% success rate in training models via datasets of images with and without wildfires.
Researchers at Mizzou have developed a proactive approach using artificial intelligence to address evolving threats against smart grids. The CIBR-Fort system can predict cyberattacks with 91.88% accuracy and defend against them in real-time, enabling scalable security for power grids of the future.
Researchers introduce a performance-based framework that integrates hydroclimate variability, hydrology, machine learning, community knowledge and feedbacks between physical and social systems. This approach enhances understanding of flood risks while emphasizing long-term community resilience.
Researchers studied pumice rafts from the 2021 Fukutoku-Oka-no-Ba eruption in Japan, finding three phases of evolution involving rounding, fragmentation, and biodiversity increase. The study provides valuable information for mitigating the impact of future eruptions on shoreline communities.
A new study reveals that downtown Houston skyscrapers designed to withstand hurricanes are actually more vulnerable to intense, localized wind forces called downbursts. The research found that these strong winds can cause significant damage to facade panels, cladding, and windows on lower floors.
Researchers propose a new local electricity market to harness the power of homeowners' grid-edge devices in case of outages or attacks. Devices like solar panels and electric vehicles can pump power into the grid or rebalance consumption.
Researchers developed a quantitative evaluation method for energy resilience in disasters by simulating power outage scenarios in buildings with solar power generators and storage batteries. The study found that energy resilience is highest when the power outage coincides with daylight hours.
Researchers created cyborg insects with sensors and electronic circuits to aid in disaster relief and navigation. The insects demonstrated ability to overcome obstacles in complex environments, achieving objectives with less effort than purely mechanical robots.
Researchers at Incheon National University have developed a new AI-powered solution to improve high-speed users' connectivity in 5G and 6G networks. The method significantly reduces errors and improves data reliability by prioritizing key parameters such as angles and delays.
A recent study published in the International Journal of Disaster Risk Reduction found that US homeowners take proactive steps to protect their properties before and after hurricanes, but often fall short due to inadequate regulations. The study's methodology provides a framework for future research on incentivizing comprehensive prote...
A survey conducted by Professor Takahiro Endo at Osaka Metropolitan University found that Hiroshima Prefecture provided a free water inspection service for well owners after the 2018 floods, promoting their initiative to open inspected wells to the public. This collaborative effort supplemented local governments' emergency water supply...
A new publication provides comprehensive guidance for public drinking water system staff on responding to wildfire damage, outlining key findings from previous disasters. The guidance aims to improve detection of chemical contamination, reduce customer notification delays, and restore safe drinking water delivery quickly.
Researchers found that taller Japanese black pine trees have deeper roots, making them more resistant to disasters. Shorter trees are more likely to fall due to inadequate root growth.
A new study finds that California's wildfire response is biased towards wealthier communities, leaving marginalized populations without access to necessary resources. The analysis of over 500 wildfire incidents revealed a significant disparity in resource allocation based on socio-demographic factors such as race and economic status.
Researchers from Tokyo Metropolitan University found that agricultural land preserved around river confluences can reduce flood risks, with stronger correlation near confluence points. This Eco-DRR approach uses existing environmental resources to improve resilience against flooding.
A new UN University study reveals Hurricane Helene's devastating impacts, with over 31,000 buildings affected and $12.5 billion in threatened property value. The disaster highlights the urgent need for investment in resilient infrastructure and improved land-use planning to mitigate future extreme weather events.
A new study provides a comprehensive breakdown of how water injected into the Permian Basin changes subsurface pressures and causes earthquakes. The research offers insights that oil and gas operators and regulators can use to reduce seismicity and associated hazards.
The new system uses AI technology combined with Earth observation data to detect risks of events that might trigger forced displacement, delivering timely alerts ahead of emergencies. It will help humanitarian actors plan and respond more effectively, minimizing response times and avoiding duplication of efforts.
A machine learning model predicts soil behavior during earthquakes, identifying areas vulnerable to liquefaction and providing contour maps for safer construction sites. The study uses geological data to create detailed 3D maps of soil layers, improving prediction accuracy by 20%.
The Lancet Commission on Investing in Health recommends focusing on 15 priority health conditions to achieve a 50% reduction in premature deaths. Raising taxes on tobacco is key, with estimates suggesting it could reduce mortality rates by more than any other single policy.
Researchers have developed AI-enabled detection software that can accurately detect natural debris, litter, or waste blocking culverts. The system can be integrated to existing CCTV systems to provide proactive flood defense, improving safety for response teams.
A new study reveals the flood insurance program's effects differ greatly among communities, with higher-population and wealthier areas benefiting more from discounts on premiums. Lower-income communities also see benefits, but only in areas with less racial and ethnic diversity, realizing a gain of about $6,000 per household.
A study found increased menstrual irregularities in women living in areas affected by the 2023 earthquake in Turkey. Risk factors included post-traumatic stress symptoms, chronic diseases, and smoking.
Researchers aim to reduce PFAS contamination risk in agriculture by developing monitoring tools and strategies for remediation. The study focuses on comprehensively understanding PFAS uptake and bioaccumulation in plants, advancing strategies for PFAS remediation in biosolid/soil.
A three-year research study led by the University of Kansas is establishing best 'managed retreat' practices for communities at risk from repeated flooding and wildfires due to climate change. The study aims to understand how different cities and governments have considered managed retreat, including strategies like buyouts and partner...
The Society for Nutrition Education and Behavior (SNEB) has issued a position paper emphasizing the importance of emergency-related food and nutrition education before, during, and after disasters. The paper highlights challenges in accessing safe, nutritious foods and beverages in post-disaster situations, particularly among historica...
A hybrid disaster response approach that combines local data collection with remote expertise saved lives in the Haiti earthquake. Traditional Haitian construction techniques proved to be more effective than modern approaches, with certain homes built using these methods performing better in the earthquake.
Researchers at Texas A&M University have developed a method of monitoring infrastructure using Synthetic Aperture Radar (SAR) remote sensing systems. This technology allows for early detection of issues, reducing the need for time-consuming repairs.
A new study by the Colorado School of Public Health found that high ICU occupancy levels during COVID-19 patients' stays contributed to increased mortality rates. The research highlights the critical need for tools to anticipate surges and effective resource management in healthcare systems.
Climate change is driving sudden onset of drying in South America and southern Africa, while Central Asia sees increased moisture due to warming temperatures
Researchers suggest three measures to improve EEW alerts: conducting nationwide drills, maintaining safe environments, and adding clear instructions to encourage immediate action. Studies found that people often wait for tremors to begin instead of taking protective measures, highlighting the need for more effective warning systems.
A recent study by University of Hawaii at Manoa researchers highlights the hidden threat of global underground infrastructure vulnerability to sea-level rise. Shallow and saltier groundwater exacerbates corrosion and failure of critical systems such as sewer lines, roadways, and building foundations in cities worldwide.
A study analyzed over 2,000 tweets before and after Hurricane María made landfall, revealing insights into social media use during disasters. The research identified key categories of messages, including information about the disaster, emotional appeals for help, and solidarity efforts among marginalized communities.
The rapid assessment of the Kakhovka Dam breach has estimated that half a million hectares of protected habitats have been exposed to hazards, including nutrients and pollutants. The study will support international action to restore a biodiversity hotspot in southern Ukraine.
A 10-year study monitored the recovery of macroinvertebrate communities after a red sludge disaster in Hungary, finding that severe disturbances hinder long-term recovery. Community recovery dynamics were found to vary with disturbance severity.