AIMC Topic: Wildfires

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Ensemble-based deep learning for estimating PM over California with multisource big data including wildfire smoke.

Environment international Sep 24, 2020
INTRODUCTION: Estimating PM concentrations and their prediction uncertainties at a high spatiotemporal resolution is important for air pollution health effect studies. This is particularly challenging for California, which has high variability in nat...
Deep Learning Big Data Air Pollution Particulate Matter Wildfires Environmental Monitoring Air Pollutants California Smoke
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Multi-sensor information fusion detection system for fire robot through back propagation neural network.

PloS one Jul 24, 2020
OBJECTIVE: To reduce the danger for firefighters and ensure the safety of firefighters as much as possible, based on the back propagation neural network (BPNN) the fire sensor multi-sensor information fusion detection system is investigated.
Robotics Wildfires China Environmental Monitoring Neural Networks, Computer
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A novel optimized repeatedly random undersampling for selecting negative samples: A case study in an SVM-based forest fire susceptibility assessment.

Journal of environmental management Jul 2, 2020
The negative sample selection method is a key issue in studies of using machine learning approaches to spatially assess natural hazards. Recently, a Repeatedly Random Undersampling (RRU) was proposed to address the randomness problem faced in Single ...
Support Vector Machine Wildfires Algorithms China Machine Learning
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Machine learning models accurately predict ozone exposure during wildfire events.

Environmental pollution (Barking, Essex : 1987) Jul 5, 2019
Epidemiologists use prediction models to downscale (i.e., interpolate) air pollution exposure where monitoring data is insufficient. This study compares machine learning prediction models for ground-level ozone during wildfires, evaluating the predic...
California Environmental Monitoring Air Pollutants Ozone Wildfires Air Pollution Algorithms Reproducibility of Results Machine Learning
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Machine Learning-Based Integration of High-Resolution Wildfire Smoke Simulations and Observations for Regional Health Impact Assessment.

International journal of environmental research and public health Jun 17, 2019
Large wildfires are an increasing threat to the western U.S. In the 2017 fire season, extensive wildfires occurred across the Pacific Northwest (PNW). To evaluate public health impacts of wildfire smoke, we integrated numerical simulations and observ...
Air Pollutants Air Pollution Health Impact Assessment Smoke Northwestern United States Humans Machine Learning Algorithms Wildfires Environmental Monitoring
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Genetic and firefly metaheuristic algorithms for an optimized neuro-fuzzy prediction modeling of wildfire probability.

Journal of environmental management May 16, 2019
In the terrestrial ecosystems, perennial challenges of increased frequency and intensity of wildfires are exacerbated by climate change and unplanned human activities. Development of robust management and suppression plans requires accurate estimates...
Neural Networks, Computer Algorithms Humans Wildfires Iran Probability Ecosystem Fuzzy Logic
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Forest fire risk zoning based on fuzzy logic and analytical network process.

Ying yong sheng tai xue bao = The journal of applied ecology Feb 1, 2024
Forest fires have a significant impact on human life, property safety, and ecological environment. Deve-loping high-quality forest fire risk maps is beneficial for preventing forest fires, guiding resource allocation for firefighting, assisting in fi...
Humans Geographic Information Systems Forests Wildfires Trees Fuzzy Logic Fires
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Long-term mortality burden trends attributed to black carbon and PM from wildfire emissions across the continental USA from 2000 to 2020: a deep learning modelling study.

The Lancet. Planetary health Dec 1, 2023
BACKGROUND: Long-term improvements in air quality and public health in the continental USA were disrupted over the past decade by increased fire emissions that potentially offset the decrease in anthropogenic emissions. This study aims to estimate tr...
Soot Wildfires Mortality Humans Air Pollutants Carbon Deep Learning Particulate Matter Cohort Studies United States
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These scientists are setting a forest on fire - and studying it with drones.

Nature May 1, 2019
Forestry Environmental Monitoring Fires Research Personnel Robotics Humans Wildfires California Models, Theoretical Utah
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