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Neighbors matter: Community cohesion boosts disaster resilience, Texas A&M study finds

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.

SourceTexas A&M University·JournalDisaster Medicine and Public Health Preparedness·TypeSurvey·DateAug 6, 2025

Identifying landslide threats using hydrological predictors

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.

SourceNorthwestern University·JournalGeophysical Research Letters·TypeComputational simulation/modeling·DateJul 25, 2025

DGIST develops high-performance piezoelectric fiber sensor for real-time landslide detection

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.

SourceDGIST (Daegu Gyeongbuk Institute of Science and Technology)·JournalAdvanced Functional Materials·DateMay 19, 2025

Civil defense units must invest in professionalization and own resources to face climate risks

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.

SourceFundação de Amparo à Pesquisa do Estado de São Paulo·JournalInternational Journal of Disaster Risk Reduction·DateMay 12, 2025

Do disasters delay early cancer diagnoses?

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.

SourceWiley·JournalCancer·DateApr 14, 2025

Earthquake rupture patterns improve the assessment of seismic hazard

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.

SourceGFZ Helmholtz-Zentrum für Geoforschung·JournalGeophysical Research Letters·TypeComputational simulation/modeling·DateMar 14, 2025

Incheon National University develops advanced communication technology for faster, reliable 5G and 6G networks

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.

SourceIncheon National University·JournalIEEE Transactions on Wireless Communications·TypeComputational simulation/modeling·DateFeb 6, 2025

Protective actions need regulatory support to fully defend homeowners and coastal communities, study finds

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...

SourceUniversity of Notre Dame·JournalInternational Journal of Disaster Risk Reduction·TypeSurvey·DateJan 15, 2025

Hiroshima flooding: A case study of well usage and adaptive governance

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...

SourceOsaka Metropolitan University·JournalWater International·TypeCase study·DateJan 14, 2025

Building safer cities with AI: Machine learning model enhances urban resilience against liquefaction

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%.

SourceShibaura Institute of Technology·JournalSmart Cities·TypeComputational simulation/modeling·DateOct 28, 2024

Planting seeds for safer farming

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.

The Society for Nutrition Education and Behavior (SNEB) issues its position on how to address emergency food and nutrition needs in disaster preparedness

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...

SourceElsevier·JournalJournal of Nutrition Education and Behavior·TypeLiterature review·DateJul 10, 2024

Diagnosing damaged infrastructure from space

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.

SourceTexas A&M University·JournalTransportation Research Record Journal of the Transportation Research Board·DateJun 6, 2024

Improving the effectiveness of earthquake early warning systems

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.

SourceDoshisha University·JournalInternational Journal of Disaster Risk Reduction·TypeObservational study·DateMay 21, 2024

Hidden threat: Global underground infrastructure vulnerable to sea-level rise

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.

SourceUniversity of Hawaii at Manoa·JournalAnnual Review of Marine Science·TypeData/statistical analysis·DateApr 15, 2024

Research examines tweets during Hurricane María to analyze social media use during disasters

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.

SourceUniversity of Illinois at Urbana-Champaign, News Bureau·JournalJournal of Environmental Studies and Sciences·TypeContent analysis·DateApr 9, 2024

The severity of the disturbance plays a pivotal role in determining the long-term recovery dynamics after an industrial disaster

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.

SourceHun-Ren Ökológiai Kutatóközpont·JournalScience of The Total Environment·TypeObservational study·DateFeb 22, 2024

Climate indices and precipitation anomalies - implications for the Middle East

A recent study from the Hebrew University of Jerusalem uncovers notable correlations between the Indian Ocean and precipitation in the Middle East, which may lead to seasonal prediction of Fall precipitation. The research highlights a discernible upward trend in crucial Indian Ocean climate indices over the last four decades, indicatin...

SourceThe Hebrew University of Jerusalem·JournalNature·TypeData/statistical analysis·DateFeb 13, 2024

How mega-floods can be predicted

A new research project uses data from over 8,000 gauging stations across Europe to predict mega-floods, reducing the surprise factor of their occurrence. By considering hydrologically similar areas, flood disasters can be anticipated and mitigated, saving lives.

SourceVienna University of Technology·JournalNature Geoscience·TypeMeta-analysis·DateNov 10, 2023

The new robot is taking its first intuitive steps

A team of engineers at the University of Pittsburgh has created a new robot that can navigate complex environments using bio-inspired neural networks. The robots will be able to avoid obstacles and learn from their experiences, enabling autonomous navigation for various applications such as commercial transport and disaster response.

Study shows little improvement in mandated disaster plans, despite required updates

A new study from the University of Kansas found that mandated disaster plans have mediocre quality and modest improvements over time. Despite regular updates, the plans fail to address key issues such as public engagement and land use policies, leading to repeated mistakes in areas prone to natural disasters.

SourceUniversity of Kansas·JournalJournal of Planning Education and Research·TypeData/statistical analysis·DateOct 10, 2023