scholarly journals Life after fire: smoke and ash as germination cues in ericads, herbs and graminoids of northern heathlands

2014 ◽  
Vol 17 (4) ◽  
pp. 670-679 ◽  
Author(s):  
Tessa Bargmann ◽  
Inger E. Måren ◽  
Vigdis Vandvik
Keyword(s):  
Fire Smoke ◽  
Germination Cues

Numerical Study on Fire Smoke Movement in Elevator Shafts Under Piston Effect

2012 ◽  
Vol 22 (4) ◽  
pp. 387-405 ◽  
Author(s):  
Yanqiu Chen ◽  
Lizhong Yang ◽  
Taolin Zhang
Keyword(s):  
Numerical Study ◽  
Smoke Movement ◽  
Piston Effect ◽  
Fire Smoke

scholarly journals Measuring acute pulmonary responses to occupational wildland fire smoke exposure using exhaled breath condensate

2019 ◽  
Vol 75 (2) ◽  
pp. 65-69 ◽  
Author(s):  
Chieh-Ming Wu ◽  
Anna Adetona ◽  
Chi (Chuck) Song ◽  
Luke Naeher ◽  
Olorunfemi Adetona
Keyword(s):  
Wildland Fire ◽  
Exhaled Breath Condensate ◽  
Smoke Exposure ◽  
Exhaled Breath ◽  
Fire Smoke ◽  
Breath Condensate

scholarly journals A Collaborative Region Detection and Grading Framework for Forest Fire Smoke Using Weakly Supervised Fine Segmentation and Lightweight Faster-RCNN

Forests ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 768
Author(s):  
Jin Pan ◽  
Xiaoming Ou ◽  
Liang Xu
Keyword(s):  
Forest Fire ◽  
Forest Fires ◽  
Learning Strategy ◽  
Early Stage ◽  
Fire Detection ◽  
Surveillance Systems ◽  
Region Detection ◽  
Decision Network ◽  
Fire Smoke ◽  
Weakly Supervised

Forest fires are serious disasters that affect countries all over the world. With the progress of image processing, numerous image-based surveillance systems for fires have been installed in forests. The rapid and accurate detection and grading of fire smoke can provide useful information, which helps humans to quickly control and reduce forest losses. Currently, convolutional neural networks (CNN) have yielded excellent performance in image recognition. Previous studies mostly paid attention to CNN-based image classification for fire detection. However, the research of CNN-based region detection and grading of fire is extremely scarce due to a challenging task which locates and segments fire regions using image-level annotations instead of inaccessible pixel-level labels. This paper presents a novel collaborative region detection and grading framework for fire smoke using a weakly supervised fine segmentation and a lightweight Faster R-CNN. The multi-task framework can simultaneously implement the early-stage alarm, region detection, classification, and grading of fire smoke. To provide an accurate segmentation on image-level, we propose the weakly supervised fine segmentation method, which consists of a segmentation network and a decision network. We aggregate image-level information, instead of expensive pixel-level labels, from all training images into the segmentation network, which simultaneously locates and segments fire smoke regions. To train the segmentation network using only image-level annotations, we propose a two-stage weakly supervised learning strategy, in which a novel weakly supervised loss is proposed to roughly detect the region of fire smoke, and a new region-refining segmentation algorithm is further used to accurately identify this region. The decision network incorporating a residual spatial attention module is utilized to predict the category of forest fire smoke. To reduce the complexity of the Faster R-CNN, we first introduced a knowledge distillation technique to compress the structure of this model. To grade forest fire smoke, we used a 3-input/1-output fuzzy system to evaluate the severity level. We evaluated the proposed approach using a developed fire smoke dataset, which included five different scenes varying by the fire smoke level. The proposed method exhibited competitive performance compared to state-of-the-art methods.

scholarly journals Health Risks of Structural Firefighters from Exposure to Polycyclic Aromatic Hydrocarbons: A Systematic Review and Meta-Analysis

2021 ◽  
Vol 18 (8) ◽  
pp. 4209
Author(s):  
Jooyeon Hwang ◽  
Chao Xu ◽  
Robert J. Agnew ◽  
Shari Clifton ◽  
Tara R. Malone
Keyword(s):  
Risk Factors ◽  
Polycyclic Aromatic Hydrocarbons ◽  
Aromatic Hydrocarbons ◽  
Meta Analysis ◽  
Occupational Exposures ◽  
Fire Smoke ◽  
Polycyclic Aromatic ◽  
Pah Exposure ◽  
In Fire ◽  
Risk Of Cancer

Firefighters have an elevated risk of cancer, which is suspected to be caused by occupational and environmental exposure to fire smoke. Among many substances from fire smoke contaminants, one potential source of toxic exposure is polycyclic aromatic hydrocarbons (PAH). The goal of this paper is to identify the association between PAH exposure levels and contributing risk factors to derive best estimates of the effects of exposure on structural firefighters’ working environment in fire. We surveyed four databases (Embase, Medline, Scopus, and Web of Science) for this systematic literature review. Generic inverse variance method for random effects meta-analysis was applied for two exposure routes—dermal and inhalation. In dermal, the neck showed the highest dermal exposure increased after the fire activity. In inhalation, the meta-regression confirmed statistically significant increases in PAH concentrations for longer durations. We also summarized the scientific knowledge on occupational exposures to PAH in fire suppression activities. More research into uncontrolled emergency fires is needed with regard to newer chemical classes of fire smoke retardant and occupational exposure pathways. Evidence-based PAH exposure assessments are critical for determining exposure–dose relationships in large epidemiological studies of occupational risk factors.

Fire smoke detection based on target-awareness and depthwise convolutions

2021 ◽  
Author(s):  
Yunji Zhao ◽  
Haibo Zhang ◽  
Xinliang Zhang ◽  
Xiangjun Chen
Keyword(s):  
Smoke Detection ◽  
Fire Smoke

scholarly journals Firefighter hemodynamic responses to different fire training environments

2021 ◽  
pp. 1358863X2098760
Author(s):  
Elizabeth C Lefferts ◽  
Alexander J Rosenberg ◽  
Georgios Grigoriadis ◽  
Sang Ouk Wee ◽  
Stephen Kerber ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Oriented Strand Board ◽  
Hemodynamic Response ◽  
Strenuous Exercise ◽  
Training Environment ◽  
Time Interaction ◽  
Increased Risk ◽  
Fire Smoke ◽  
System Activation ◽  
The Impact

Firefighting is associated with an increased risk for a cardiovascular (CV) event, likely due to increased CV strain. The increase in CV strain during firefighting can be attributed to the interaction of several factors such as the strenuous physical demand, sympathetic nervous system activation, increased thermal burden, and the environmental exposure to smoke pollutants. Characterizing the impact of varying thermal burden and pollutant exposure on hemodynamics may help understand the CV burden experienced during firefighting. The purpose of this study was to examine the hemodynamic response of firefighters to training environments created by pallets and straw; oriented strand board (OSB); or simulated fire/smoke (fog). Twenty-three firefighters had brachial blood pressure measured and central blood pressure and hemodynamics estimated from the pressure waveform at baseline, and immediately and 30 minutes after each scenario. The training environment did not influence the hemodynamic response over time (interaction, p > 0.05); however, OSB scenarios resulted in higher pulse wave velocity and blood pressure (environment, p < 0.05). In conclusion, conducting OSB training scenarios appears to create the largest arterial burden in firefighters compared to other scenarios in this study. Environmental thermal burden in combination with the strenuous exercise, and psychological and environmental stress placed on firefighters should be considered when designing fire training scenarios and evaluating CV risk.

The Limits of Vacuum Infusion Technology during the Production of Filled Polymer Composite Systems

2018 ◽  
Vol 919 ◽  
pp. 175-181
Author(s):  
Soňa Rusnáková ◽  
Milan Žaludek
Keyword(s):  
High Tech ◽  
Smoke Toxicity ◽  
Hot Wire ◽  
Bending Properties ◽  
Vacuum Infusion ◽  
Composite Systems ◽  
Flammability Test ◽  
Fire Smoke ◽  
Investment Cost ◽  
One Step

The vacuum infusion process (VIP) is suitable for production of bigger prototypes and low-series production, but their utilization is increasing because their low investment cost, comparability with high-tech technology (pre-preg), possibility to produce sandwich structures in one step and many various advantages.We verify the possibility of VIP to produce various prototypes with increasing degree of flame retarders, specifically aluminium hydroxide (ATH), which fulfil regiments to mechanical and Fire-Smoke-Toxicity (FST) properties according EN 45 545. Mechanical properties we confirmed by testing of bending properties according EN ISO 178 and tensile properties according EN ISO 527-4. FST properties were confirm by flammability test with hot wire according EN ISO 60695-2-11.

Fast elimination of cable fire smoke in underground tunnels using acoustic agglomeration technology

2021 ◽  
Vol 117 ◽  
pp. 104154
Author(s):  
Dingkun Yuan ◽  
Guangxue Zhang ◽  
Chenyu Lin ◽  
Hongkun Lv ◽  
Kang Zhang ◽  
...  
Keyword(s):  
Fire Smoke ◽  
Cable Fire
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