Firefighters Research Articles

Penerapan keselamatan dan kesehatan kerja sebagai upaya pencegahan kecelakaan kerja di PT. Perusahaan Gas Negara (Persero) Tbk tahun 2023

Occupational Safety and Health is one way to protect workers from work accidents and dangerous risks. K3 is carried out by the company based on applicable company laws and regulations. The implementation of Occupational Safety and Health at the Pasar IX Gas Station functions to protect workers from the risk of occupational hazards at the gas station. The aim of this research is to analyze the implementation of occupational safety and health as an effort to prevent work accidents at PT. Perusahaan Gas Negara (Persero) Tbk 2023. Descriptive research method with a qualitative approach which aims to analyze the implementation of occupational safety and health at the Pasar IX Gas Station – PT. Perusahaan Gas Negara Tbk. Informants were taken using a purposive sampling technique, totaling 7 people, namely 1 HSSE person, 3 fire fighter team members, and 3 first aid team members. The selected informants are considered to be able to provide information regarding the implementation of occupational safety and health which includes K3 policies, K3 communications, K3 inspections and K3 evaluations. The research results show that the implementation of K3 at PT. Perusahaan Gas Negara Tbk has been running well and is in accordance with applicable regulations. The K3 policy is established and signed by the main director. K3 communication is carried out by HSSE to promote and inform workers to implement occupational safety and health. K3 inspections are carried out to check the condition of all equipment, work environment and worker actions. K3 evaluation is carried out by HSSE and the K3 Audit Institute to assess the extent of K3 implementation. As a research suggestion, the Pasar IX gas station operator collaborates with the Fire Department and hospitals in holding K3 training to increase awareness and knowledge of occupational safety and health among station workers.

Evaluation of the Implementation of an Active Fire Protection System in the Production Unit at a Plastic Pellet Manufacturing Company in Pasuruan, Indonesia

A plastic pellet manufacturing company in Pasuruan, Indonesia, is a company operating in the manufacturing sector and producing plastic pellets. Fire is one of the possible, unpredictably occurring risks during the manufacture of concrete. Unwanted fires can result in significant damage and human loss. Since it is impossible to foresee when or where a fire will strike, early prevention and response measures are required. Thus, as a preventive and mitigating action against the fire danger at a plastic pellet manufacturing In Pasuruan, Indonesia, the goal of this research is to assess the suitability of the active fire protection system. The research is observational and uses a descriptive method. The research findings show that plastic pellet manufacturing in Pasuruan, Indonesia, has an average suitability rate of 96% with regard to the implementation of the active fire protection system. The assessment of fire detector implementation, as per SNI 03-3985-2000, is classified as good (100%). The assessment of fire alarm implementation, as per SNI 03- 3985-2000, is classified as good (100%). The assessment of sprinkler implementation, as per SNI 03-3989-2000, is classified as sufficient (80%). The assessment of fire extinguisher implementation, as per the Ministry of Labour and Transmigration Regulation No. Per. 04/MEN/1980, is classified as good (100%). The assessment of hydrant implementation, as per SNI 03-1745-2000, is classified as good (100%). Conclusively, the suitability of the active protection system for plastic pellet manufacturing in Pasuruan, Indonesia, falls into the good category.

Biometric door lock system with automated fire detection alert

The reconciliation of biometric advancements and fire recognition components in shrewd homes is critical for access control and crisis readiness. The Blynk mobile app is used to access this project's biometric door lock and automated fire detection system. For access authorization, the biometric system uses cutting-edge fingerprint or facial recognition technology. The mechanized fire location framework screens the climate for potential fire dangers and triggers an alert when distinguished. The Blynk application gives controller and checking abilities, permitting inhabitants to lock or open the entryway, get ongoing warnings, and remotely screen the fire discovery framework's status. The microcontroller coordinates communications between the frameworks, outfitted with Wi-Fi availability. The Blynk application point of interaction is planned with easy-to-understand gadgets, permitting inhabitants to control and screen the coordinated frameworks. Safety efforts, for example, encoded correspondence conventions and secure stockpiling of biometric information, shield client protection. This all-encompassing approach to residential security ensures that their homes can effectively handle access control and emergencies, providing residents with security and peace of mind.

Flight Simulation of Fire-Fighting Aircraft Based on Multi-Factor Coupling Modeling of Forest Fire

Forest fires can develop rapidly and may cause a wide range of hazards. Therefore, aerial firefighting, which has the ability to respond and reach fire fields quickly, is of great significance to the emergency response to and subsequent extinguishing of forest fires. The burning of forest fires generates a lot of heat and smoke, which changes the air flow environment and vision over the region and brings challenges to aerial firefighting. In the present work, aerial forest firefighting simulation was divided into the forest fire spread model, the air flow model and the aircraft flight dynamic and automatic control model. Each model was constructed based on a physical method. An integrated framework was designed to realize the interaction among fire fields, airfields, and aircraft, and is verified. The proposed framework can be used for the emergency response decision of aerial forest fire fighting and subsequent fire-fighting mission planning.

Early fire danger monitoring system in smart cities using optimization-based deep learning techniques with artificial intelligence

Early fire danger monitoring system in smart cities using optimization-based deep learning techniques with artificial intelligence

Investigating the influencing factors and prediction models of skin burns for firefighters’ occupational safety

Relevant studies in the fields of fire safety, occupational health and firefighter clothing were analyzed in this study to address the high injury rate among firefighters during fire rescue and the complexity of factors affecting skin burns. The findings indicate that the degree of skin burns in firefighters is primarily influenced by the heat source (heat flux, type), firefighter clothing (fabric, pattern) and the under-clothing air gap (thickness, characteristics). Since skin burns cannot be directly measured, internal skin heat transfer and burn prediction models are commonly employed to assess the impact of external factors on skin burns. These models can predict the safe working distance or time for firefighters. Investigating the influencing factors and prediction models of skin burns among firefighters holds significant value in enhancing operating procedures, optimizing firefighter clothing design and effectively preventing skin burns.

FDPA internet of things system for forest fire detection, prediction and behaviour analysis

AbstractThe escalating issue of forest fires poses severe risks to ecosystems and human habitats, primarily due to the greenhouse effect and sudden climate changes. These fires, mostly occurring naturally, necessitate prompt detection and control. Addressing this, the authors introduce the Forest Fire Detection, Prediction, and Behaviour Analysis (FDPA) system, an innovative Internet of Things (IoT) solution. The FDPA system leverages a wireless sensor network to efficiently detect and analyse fire behaviour, providing real‐time data on fire spread, speed, and direction. Uniquely, it can anticipate natural fires hours before they occur by monitoring ecological parameters such as humidity, temperature, and using the Chandler Burning Index (CBI) for quantifying fire danger. Designed for the challenging forest environment, the FDPA system prioritises minimal power usage and simple components, crucial in areas with limited power resources. Its resilient design ensures the wireless sensor network and sensor nodes withstand harsh weather and fire conditions, maintaining functionality and reliability. Field tests of the FDPA system in various Jordanian forest locations, including Burgish–Ajloun, have demonstrated its effectiveness. The trials revealed the system's capability in early fire detection, low latency response, predicting fire behaviour, and determining fire spread direction. Continuous monitoring of the forest ecosystem and rapid detection allow authorities to act swiftly, preventing potential fires from escalating. Furthermore, the system tracks ecological changes within the forest, offering insights into imminent natural fires. This feature enables proactive measures to mitigate fire spread, safeguarding the environment and nearby communities. The strategic placement of sensor nodes and the use of durable yet straightforward components reduce the risk of system damage due to environmental extremities. Overall, the FDPA system emerges as a promising tool for forest fire management. Its ability to detect, predict, and analyse forest fires in real‐time positions it as a vital asset in minimising the detrimental impacts of forest fires on the environment and human settlements.

Australian Fire Danger Rating System Research Prototype: a climatology†

Background Historical records of fire weather phenomena provide valuable insights into spatial and temporal trends which can inform further research and are important tools for planning. Aims We outline a 19-year climatology of a Research Prototype (AFDRSRP), of the new Australian Fire Danger Rating System, documenting its spatial and temporal characteristics. Methods The analysis utilises the Australian Bureau of Meteorology’s high-resolution reanalysis suite (BARRA), together with fuel data provided by Australian fire agencies. We examine the spatial and temporal distribution of the AFDRSRP. Distributions are categorised by fuel type, analysing relative variability across time and space. Key results The results validate the broad behaviour of the new system and provide insight into the variation of fire danger throughout Australia, adding detail to the understanding of timing of peak fire danger both diurnally and annually. Conclusions While the AFDRSRP differs from the operational system in its fire danger rating categories and tuning of algorithms, it nonetheless provides useful insights into the operational implementation. Implications These results will be essential for planning during fire seasons.

A phenomenological study on psychological resilience of aircraft rescue and fire fighting professionals

The primary objective of this study is to investigate the specific aspects of psychological resilience among ARFF professionals. Utilizing a qualitative approach and collecting data from 11 ARFF professionals using semi-structured interviews, this study delves into an exploration of factors that contribute to psychological resilience among Aircraft Rescue and Firefighting (ARFF) personnel stationed at State Airports, a group operating under emergency circumstances within the aviation industry. The investigation reveals three overarching themes: micro-level personal factors, meso-level organizational factors, and macro-level environmental/societal factors. Key findings reveal that micro-level personal factors, including personality traits and individual coping mechanisms, significantly influence ARFF professionals’ psychological resilience. Encompassing leadership quality and team dynamics, meso-level organizational factors have emerged as crucial contributors to resilience. Finally, macro-level environmental/societal factors, such as social support networks and the broader emergency preparedness context, have been identified as integral elements shaping psychological resilience. This qualitative approach, designed to capture the nuanced experiences and perceptions of ARFF professionals through a multi-level exploration of psychological resilience, extends its implications to the realms of aviation and emergency response. Micro-level considerations illuminate the significance of human resources-related decisions, such as recruitment and training, in fortifying ARFF professionals’ resilience. Meso-level considerations provide evidence for the impactful role of leadership and effective safety measures in promoting resilience. Macro-level considerations underscore the importance of environmental design and spillover effects, such as family support, in shaping resilience. An understanding of the factors that contribute to psychological resilience may be directly transferable to the creation of support mechanisms and targeted interventions and may also be directly transferable to assist emergency response teams in the aviation sector.

A framework for defining fire danger to support fire management operations in Australia†

Background Development of the Australian Fire Danger Rating System began in 2017 with a project aimed at demonstrating the feasibility of a new fire danger rating system through a Research Prototype (AFDRSRP) that accounted for variability in Australian vegetation types, was nationally applicable, modular and open to continuous improvement. Aims In this manuscript, we identify and define transition points and categories for the AFDRSRP. We discuss user responses to the categorisation during a live trial evaluation of the AFDRSRP and reflect on limitations and potential improvements. Methods A review of available literature, broad consultation with stakeholders and reanalysis of fire impact data were used to determine suitable thresholds for categorising fire danger within the AFDRSRP. Key results Fire danger categories within the AFDRSRP reflect transitions in fire behaviour that result in application of different fire management strategies or are associated with variation in serious consequences and impacts. Conclusions The AFDRSRP incorporated the best available science, supported by a well-defined framework for categorising and defining fire danger making it suitable for application across Australian fire jurisdictions and range of fuel types. Implications The framework allows fire managers to assess the accuracy and appropriateness of forecasted fire danger.

Introduction to the Australian Fire Danger Rating System†

Background Fire danger rating systems are used daily across Australia to support fire management operations and communications to the general public regarding potential fire danger. Aims In this paper, we introduce the Australian Fire Danger Rating System (AFDRS), providing a short historical account of fire danger rating in Australia as well as the requirements for an improved forecast system. Methods The AFDRS combines nationally consistent, spatially explicit fuel information with forecast weather and advanced fire behaviour models and knowledge to produce locally relevant ratings of fire behaviour potential. Key results A well-defined framework is essential for categorising and defining fire danger based on operational response, the potential for impact and observable characteristics of fire incidents. The AFDRS is modular, supporting continuous and incremental improvements and allowing upgrades to components in response to new science. Conclusions The AFDRS provides a new method to estimate fire danger based on the best available fire behaviour models, leading to potentially significant improvements in the way fire danger is calculated, forecast and interpreted. Implications The Australian Fire Danger Rating System was implemented in 2022, the most significant change to fire danger forecasting in Australia in more than 50 years.

Fire Safety Awareness and Practices of Science, Technology, Engineering, and Mathematics Students in a Philippine Public Secondary School

The Philippines is one of the countries that faced severe fire disasters. However, fire received little recognition in disaster readiness and risk reduction. Seeing that students are gathered in one place, a fire safety assessment is necessary to ascertain their acquisition of competencies in fundamental concepts of fire. Anchored on KAP theory, this study investigated the Grade 12 STEM students' safety awareness before, during, and after a fire in relation to practices in public schools in the central Philippines relative to sex and family monthly income. Using a descriptive, comparative, and correlational approach, a validated and reliability-tested questionnaire was administered to 94 randomly selected students. Mean, Standard Deviation, Mann-Whitney U test, and Spearman Rank Correlation were utilized in data analysis. Overall, students possessed a prominent consciousness and could relatively demonstrate the necessary measures and responses to prevent and suppress the fire. Comparatively, no significant difference exists when grouped according to sex and family monthly income. Concurrently, a significant relationship was observed between their awareness and practices, implying that students who possess the consciousness of fire safety will likely demonstrate the measures against the dangers of fire, which validated the KAP theory. Continuous improvement of teachers' instructions is crucial to strengthen students' readiness and resilience in disasters like fire.

Simulation Analysis of Fire-Fighting Path Planning Based On SLAM

Reasonable and optimal planning of fire fighting paths is crucial to improving the efficiency of fire fighting, and has attracted increasing research attention in recent years. The traditional fire path selection method is mainly to locate the hot spot of the fire scene, and at the same time, use the hot spot sensor to locate the path correction algorithm to realize the planning of the fire path. Thanks to the rapid development of artificial intelligence algorithms, the fire extinguishing path planning and disaster relief resource scheduling methods based on artificial intelligence algorithms have continuously made breakthroughs in accuracy and speed. Based on simultaneous localization and mapping (SLAM) technology, this paper solves the positioning and mapping problems simultaneously to determine the optimal path. Specifically, this paper mainly uses the map construction and navigation functions of SLAM, and uses Gazebo to simulate an open shopping mall environment and a factory environment with multiple obstacles. Through simulation experiments, the results verify the feasibility of this proposed method in fire evacuation path planning, and can realize the evacuation path planning in case of fire.

Evidential reasoning and lightweight multi-source heterogeneous data fusion-driven fire danger level dynamic assessment technique

Dynamic fire assessment under many uncertainties make danger level difficult to be evaluated reasonably. This investigation aims to establish a fire danger level dynamic assessment technique, which can be utilized to achieve automatically rules generation of fire assessment and multiple attributes-based fire danger level determination. In the technique, image segmentation with particle swarm optimization is used to generate the rules of fire assessment related to image type data automatically. Evidential reasoning with particle swarm optimization is used to generate the rules of fire assessment related to numeric type data automatically. Then, final fire danger level can be evaluated together with the help of the multi-source heterogeneous data. The main novelty of this investigation is that the developed multiple attributes-based assessment technique is not limited to the specific fire scenario, which is without resort to professional knowledges for determining the rules of fire assessment and training based on mass data in advance. In addition, the results of the case study of a tunnel fire support the ability of the technique, which can be used to achieve the reasonable fire danger level dynamic assessment with only the monitored data at the current time condition.

The impact of inter-limb leg lean tissue mass asymmetry on stair climb performance in career firefighters

The purpose of this study was to examine the influence of inter-limb leg lean tissue mass (LTM) asymmetry on stair climb (SC) performance in firefighters. Forty-one career firefighters (age = 32.3 ± 8.2 years, body mass = 92.1 ± 18.6 kg, stature = 178.3 ± 7.9 cm) visited the laboratory on one occasion and completed a whole body and leg composition assessment followed by a timed and weighted SC task. Percent body fat (%BF) and leg LTM were determined during a DEXA scan and regional thigh analysis. Asymmetry was assessed by the percent difference between limbs (dominant limb LTM – non-dominant limb LTM)/dominant limb LTM × 100) and a ± 3% cut-off for asymmetry classification. Participants ascended and descended 26 stairs four times as quickly as possible while wearing a weighted (22 kg) vest. Point biserial correlations were used to assess the relationship of inter-limb leg LTM asymmetry and SC performance before and after controlling for age and %BF. Results indicated that inter-limb leg LTM asymmetry was associated with longer SC task time (poorer performance) both before (r = 0.432, P = 0.005) and after (r = 0.502, P = 0.001) controlling for age and %BF. Our findings indicated that inter-limb leg LTM asymmetry negatively impacts firefighter SC performance, which may be improved with appropriate exercise interventions.

How well do multi-fire danger rating indices represent China forest fire variations across multi-time scales?

To better support wildfire predictions and risk assessment, multiple fire danger rating indices (FDRIs) have been developed but their credibility in China remains obscure. Compared with the satellite fire observations, 13 FDRIs are evaluated for the historical (2003–2021) forest fire frequency in China from four different time scales: active seasons, trends, interannual variations (IAVs) and discrimination of fire/non-fire days (DFDs). Most FDRIs effectively capture the double active seasons over Southwest China and the dominant active season over Northeast and South China but fail over the other regions. FDRIs with cloud cover perform better in capturing climatological fire seasonality. All FDRIs fail to reproduce the significant decreasing trend of forest fires speculatively due to local fire management and discordant changes in meteorological elements. Most FDRIs have the advantages of the IAVs and DFDs over Southwest China but exhibit deficiencies over the other regions. FDRIs incorporating wind speed perform best in representing both IAVs and DFDs, indicating the indispensable effect of surface wind on the interannual/daily variation of fire danger. This study provides a credible reference for utilizing FDRIs in China, as well as offers insights for developing better regional FDRIs to represent different time-scale variations.

FIRE WEATHER INDEX AND FOREST FIRE DANGER MAPPING: INSIGHTS FROM A CASE STUDY IN ANTALYA - MANAVGAT FOREST, TURKIYE

Abstract. Forest fires in Türkiye, like in other regions, have detrimental effects on wildlife habitats, water quality, air pollution, climate change, and the economy. These fires become particularly concerning during the dry summer months. In 2021, forest fires affected over 150 thousand hectares of land across the country, with the Manavgat district in Antalya province alone witnessing the burning of approximately 60 thousand hectares of forest area. This study aims to assess the applicability and suitability of Fire Weather Index (FWI) data derived from meteorological station data in the Antalya region, as well as EFFIS FWI data generated using satellite-based meteorological information, for fire danger mapping during the Manavgat forest fire that occurred between 28 July and 6 August 2021. Additionally, correlation analyses were performed between the two FWI datasets and other relevant variables, including the difference in Normalized Burn Ratio (dNBR), the difference in Land Surface Temperature (dLST), and Fire Radiative Power (FRP) data detected from MODIS and VIIRS satellites. The results of the correlation analysis indicated that the FWI values obtained using in-situ meteorology station data showed much higher correlations than FWI values obtained from EFFIS, with the highest correlation (73%) observed with dLST data. Consequently, the fire danger map was created using the in-situ meteorological data, given its stronger correlation. The results prominently revealed a widespread high-risk level across the entire Antalya province, with the Manavgat district classified into the "Extreme" and "Very Extreme" FWI classes, emphasizing the critical importance of utilizing in-situ meteorological data for precise fire danger assessments and proactive fire management strategies.

Fear generalization predicts post-traumatic stress symptoms: A two-year follow-up study in Dutch fire fighters

IntroductionExcessive fear generalization has been associated with pathological anxiety, including posttraumatic stress disorder (PTSD). However, studies investigating the longitudinal relationship between generalization and the development of anxiety symptomatology are scarce. This study aims to test the predictive value of fear generalization for PTSD symptoms in a high-risk profession sample and to explore the relationship between generalization and neuroticism, which are both linked to PTSD. MethodLongitudinal data from a multi-wave study in 529 Dutch fire-fighters were used. Fear generalization, PTSD symptoms and neuroticism were assessed at baseline. PTSD symptoms were reevaluated at six, 12, 18, and 24 months. Generalization was assessed in a differential conditioning paradigm by measuring expectancies of an aversive outcome when presented with stimuli similar to previously conditioned stimuli. ResultsHigher expectancy ratings towards stimuli most similar to safety signals predicted PTSD symptoms at follow-up after controlling for baseline PTSD symptoms, whereas higher expectancy ratings towards stimuli most similar to danger signals was associated with neuroticism. Neuroticism weakened the predictive power of fear generalization when considered simultaneously. DiscussionThese findings suggest that heightened fear generalization is associated with the development of anxiety and trauma-related symptoms. Targeting problematic fear generalization may be a promising intervention approach.

Exposure of firefighters to carbon monoxide during rescue and fire fighting interventions - a 6-year analysis

Exposure to carbon monoxide is a common hazard in firefighting practice throughout the year, regardless of the winter heating season. Therefore this analysis of the interventions of fire protection units in incidents related to carbon monoxide exposure of a non-fire origin. The objectives include two risk groups: people affected by the intervention and the health risks to fire officers themselves.The analysed material covers the years 2017-2022 and interventions of fire protection units in incidents related to carbon monoxide exposure of a non-fire origin (chemical hazard events). Data from the Decision Support System of the State Fire Service (DSSSFS), provided to the authors by the Operational Planning Office at the Headquarters of the State Fire Service, were used in the study.According to the records of the State Fire Service (SFS) in the years 2017-2022, there were 28,766 (Mean 4794; SD 413) chemical hazard events: carbon monoxide was the cause. There were only 5724 reports of symptoms with a known CO concentration and 1974 reports with clinical symptoms. Statistically significant differences were demonstrated in exposure time (p= 0.028) and average CO concentration in the analysed years (p<0.001). Noteworthy is the sudden reduction in the exposure time following the year 2020.The actual exposure of firefighters to carbonmonoxide is greater than in the above analysis, in addition, there are exposures from fire incidents. Procedures, measuring equipment, and personal protective equipment protect firefighters from absorbing harmful substances into the body, but the large number of incidents and the visible clinical symptoms in victims should prompt firefighters with many years of service to observe even the smallest worrying neurological changes in themselves.

LITERATURE REVIEW: STAFF PERFORMANCE FACTORS RELATED TO INCOMPLETE MEDICAL RECORD DOCUMENTS IN PUBLIC HEALTH CENTER

Background: Patient medical records are records relating to the patient’s identity, diagnosis, action, and to the treatment that has been given to the patient. Thus, medical records must be protected from damage, but damage to medical records is still found in every hospital. Purpose: This study attempts to investigate the causes of damage to hospital medical record materials. Methods: this is literature review, and the research was obtained from google scholar and the portal garuda, using full text articles. The measured results were factors that cause damage to medical record documents. Results: The main factor were still officers with a low level of education, namely high school graduates. This has an impact on filing officers to be not disciplined in maintaining medical record documents, and the absence of implementation of training related to management and storage management in the filing section. The machine factor was that there was no medical record rack available in accordance with the number of medical record documents. The method factor was that there was no SOP for maintaining medical records. The material factor was the raw material for the map using thin paper. The media factor, namely the storage space, has not been avoided from the dangers of water, fire, and biological damage. Conclusion: Based on 5M factors, the factors that have the highest influence on damage to medical record documents are the elements of people, machine, and material. While the factor that causes the least damage to medical record documents is the method.