Articles tagged with Grassland Fires
A US study found that affluent neighborhoods are at higher risk of fire, but tend to recover faster, with 78% of severely burned areas failing to return to pre-fire temperatures within five years. Higher-income areas also experienced smaller losses in vegetation and recovered temperatures more quickly.
Researchers will develop AI-powered tools to examine cascading wildfire impacts, including flash floods, debris flows, and infrastructure disruptions. The project aims to bolster public safety and community resilience by combining AI, infrastructure modeling, and social science.
Southwest Research Institute (SwRI) has developed a new framework for early detection of wildfires with real-time modeling, synthesizing various datasets and remote sensing capabilities. This tool helps emergency officials make life-saving decisions about wildfire prevention and mitigation.
North Americans breathed unhealthy air for nearly 106 million person-days as Ontario wildfires exposed people on both sides of the border. Canada's slow fire season intensified within weeks, with Toronto recording the poorest air quality in the world.
The 36th annual State of the Climate report reveals record highs in greenhouse gas concentrations, global sea level, and ocean heat content. Greenhouse gas concentrations reached a 53% increase from preindustrial levels, with fossil fuel emissions reaching a record high in 2025.
The WVU team developed an AI framework that allows satellites to not only detect wildfires but also coordinate with one another and adjust their observation schedules as fires spread. This enables firefighters to respond sooner, taking into account the rapid movement of wildfires, dense vegetation, and hills.
Recent studies investigate the relationship between weather conditions and extreme events like heat-related mortality, tropical cyclone hazards, and changes in precipitation patterns. Researchers also explore new modeling methods to predict visually appealing atmospheric phenomena like 'ornamental twilight'.
Researchers investigated the Mississippi River's hydrological trends, ocean carbon storage, and gender dynamics in flood mortality. A study found that precipitation increases, but soil moisture decreases, while high-resolution models reveal stronger Southern Ocean carbon absorption. Additionally, data showed men are overrepresented in ...
Researchers found strongest associations on very smoky days and in areas with cleaner air overall. The study of over 8.6 million births in California suggests that intense wildfire smoke exposure may increase the likelihood of autism in children.
Fungi have evolved unique strategies to digest charcoal and other pollutants, including gene duplication and horizontal gene transfer. These discoveries could lead to new methods for cleaning up contaminated environments.
A new study published in Environmental Science & Technology found that exposure to wildfire smoke during the third trimester may raise the risk of autism diagnoses in children. Mothers who were exposed to more than 10 days of wildfire smoke had a 23% higher risk of their child being diagnosed with autism by age 5.
Researchers at Harvard John A. Paulson School of Engineering and Applied Sciences quantify the role of climate change in wildfires and air quality, finding that 60-82% of total burned area in western US forests is directly attributable to warming temperatures and drier conditions caused by climate change.
A new computer model, GeoFlame VISION, uses AI and satellite imagery to produce a dynamic wildfire risk map for the entire US. The model shows that California's eastern, southwestern, and northwestern parts are at high risk due to Santa Ana winds.
Human-driven climate change makes wildfires in parts of South America and Southern California much larger and more destructive. Climate models warn that severe heatwaves and droughts will make extreme wildfires more frequent and intense worldwide.
A recent study found that UK heatwaves have led to unseasonable drying of vegetation, bypassing natural ecological processes that limit the spread of wildfires. The extreme heat conditions increased the risk of wildfire incidents, with a 500% increase in 999 calls and 14 major incidents during the 2022 heatwave.
The NSF-funded project aims to understand and reduce grassland fire risk by studying fuel variability and response to prescribed fire. The team will develop mapping tools to estimate wildfire risk, enabling land managers to plan and reduce the risk of devastating grassland fires.
A new nationwide database, TWIG, is helping land managers evaluate the impact of fuel treatments on wildfire risk. The open-access platform consolidates decades of data from across the US, enabling more efficient and effective strategies for applying treatments.
A study of 100,000 water samples from 500 river basins found elevated levels of contaminants like organic carbon, phosphorus, nitrogen, and sediment persisting for years after wildfires. Water managers can use this data to inform planning strategies for increasing wildfire resilience.
The University of Texas at Arlington researcher Yunyao Li has been selected by NASA to develop a system that provides early warnings of hazardous air pollution from wildfires. The project aims to enhance wildfire air quality forecasting capabilities and develop tools for decision-making processes related to health management.
New research from Colorado State University finds that wildfire smoke has a modest impact on long-term solar power generation activity in the US. The study, published in Nature Communications, shows that power generated from photovoltaics remained relatively stable even in extreme fire seasons, with losses averaging around 5%.
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.
The State of Wildfires report found that carbon emissions from wildfires globally were 16% above average, with Canada and Amazonia experiencing unusually high numbers of fires. Climate change increased the likelihood of extreme wildfires in these regions by at least three times and up to six times.
Research from Colorado State University shows wildfire smoke can attach to home surfaces like carpet and drapes, extending exposure and potentially causing health problems. Simple surface cleaning, such as vacuuming or mopping, can reduce exposure and limit risk.
A recent study led by the University of Colorado Boulder found that burning from the Marshall Fire left a mark on buildings, with elevated concentrations of carcinogenic materials like polycyclic aromatic hydrocarbons (PAHs) detected in dust samples. The research aims to inform best practices for recovering after future wildfires.
A recent study on buffelgrass control in Arizona's Saguaro National Park highlights the importance of long-term monitoring and surveillance. Low levels of buffelgrass can quickly expand by multiple orders of magnitude, emphasizing the need for sustained efforts to manage its spread.
Researchers discovered that certain microorganisms dominate burned soil after a wildfire, with some species increasing in abundance and others consuming charcoal. This finding could help revive megafire dead zones and provide insights into the human microbiome's response to stress.
Researchers at North Carolina State University designed new fire shelter prototypes to protect firefighters trapped in wildfires. The shelters showed improved thermal performance and longer survival times compared to the current industry standard, with temperatures remaining within survival limits for up to 60 seconds.
The UN Convention to Combat Desertification's Global Land Outlook 2 report warns that up to 40% of the planet's land is degraded, threatening half of humanity and roughly 1/2 of world GDP. The report offers hundreds of practical ways to restore land and ecosystem health.
Researchers developed DamageMap, an AI system that uses machine learning to identify building damage from post-wildfire images, achieving 92% accuracy. The system can analyze satellite and aerial photos to pinpoint damaged buildings, providing immediate results for first responders and fire victims.
Research by University of Washington and US Forest Service scientists reveals a dramatic shift in nighttime air's drying power over the Western US, increasing wildfire activity. This shift is not captured in climate models, with some areas experiencing water loss doubling up on warmer nights.