Estimating the spatiotemporal distribution of PM2.5 concentrations in Tianjin during the Chinese Spring Festival: Impact of fireworks ban.

SETTING: off fireworks during the Spring Festival (SF) is a traditional practice in China. However, because of its environmental impact, the Chinese government has banned this practice completely. Existing evaluations of the effectiveness of firework prohibition policies (FPPs) lack spatiotemporal perspectives, making it difficult to comprehensively assess their effects on air quality. Consequently, this study used remote sensing technology based on aerosol optical depth and multiple variables, compared nine statistical learning methods, and selected the optimal model, transformer, to estimate daily spatiotemporal continuous PM2.5 concentration datasets for Tianjin from 2016 to 2020. The overall model accuracy reached a root mean square error of 15.30 µg/m³, a mean absolute error of 9.55 µg/m³, a mean absolute percentage error of 21.07%, and an R2 of 0.88. Subsequently, we analysed the variations in PM2.5 concentrations from three time dimensions-the entire year, winter, and SF periods-to exclude the impact of interannual variations on the experimental results. Additionally, we quantitatively estimated firework-specific PM2.5 concentrations based on time-series forecasting. The results showed that during the three years following the implementation of the FPPs, firework-specific PM2.5 concentrations decreased by 52.70%, 49.76%, and 86.90%, respectively, compared to the year before the implementation of the FPPs. Spatially, the central urban area and industrial zones are more affected by FPPs than the suburbs. However, daily variations of PM2.5 concentrations during the SF showed that high concentrations of PM2.5 produced in a short period will return to normal rapidly and will not cause lasting effects. Therefore, the management of fireworks needs to consider both environmental protection and the public's emotional attachment to traditional customs, rather than simply imposing a blanket ban on fireworks. We advocate improving firework policies in four aspects-production, sales, supervision, and control-to promote sustainable development of the ecological environment and human society.

The optimization and operation of multi-energy-coupled microgrids by the improved fireworks algorithm-shuffled frog-leaping algorithm.

This study aims to address optimization and operational challenges in multi-energy coupled microgrids to enhance system stability and reliability. After analyzing the requirements of such systems within comprehensive energy systems, an improved fireworks algorithm (IFWA) is proposed. This algorithm combines an adaptive resource allocation strategy with a community genetic strategy, automatically adjusting explosion range and spark quantity based on individual optimization status to meet actual needs. Additionally, a multi-objective optimization model considering active power network losses and static voltage is constructed, utilizing the shuffled frog-leaping algorithm (SFLA) to solve constrained multi-objective optimization problems. Through simulation experiments on a typical northern comprehensive energy system, conducted with a scheduling period of T = 24, the feasibility and superiority of IFWA-SFLA are validated. Results indicate that IFWA-SFLA performs well in optimizing microgrid stability, managing electrical energy flow effectively within the microgrid, and reducing voltage fluctuations. Furthermore, the circuit structure and control strategy of microgrid energy storage bidirectional inverters based on IFWA are discussed, along with relevant simulation results.

A preliminary study of combustion flame by digital image processing and residue for fireworks flash powder.

Fireworks play a vital role in festive celebrations and entertainment. These fireworks industries are administered by the Petroleum and Explosives Safety Organisation (PESO), Nagpur, Government of India. Even though PESO prescribed the standard composition for various fireworks products, concerns persist regarding the potential deviation from these standards, particularly in the pursuit of increased noise levels to attract consumers. This change in the burning and reactive properties of chemicals could potentially lead to accidents and environmental pollution. The current work investigated the combustion characteristics of two unknown market flash powder samples and a PESO standard sample. The samples were openly ignited in a controlled atmosphere, and video recordings of the resulting chemical flames were analyzed to determine fire area, flame intensity, and motion magnitude. The residues were also collected for EDAX and SEM analysis. Fire pixels from video frames are segmented to create a comprehensive database detailing flame area and motion magnitude under different circumstances. From the flame area profile, motion magnitude and SEM/EDAX analysis, it is found that PESO standard sample combustion is better than the unknown flash powder combustion.

A survey investigating owner perceptions and management of firework-associated fear in dogs in the Greater Sydney area.

OBJECTIVE: To investigate the prevalence of firework-associated fear in dogs in Sydney, owner perception of their dog's response to fireworks, perceived efficacy of interventions to manage fearful behaviours and the frequency of dog owners seeking professional advice for these behaviours. METHODS: Dog owners in the Greater Sydney area were invited to complete an anonymous online survey. RESULTS: From 387 valid responses, 44.4% (171 of 385) reported their dogs were fearful of fireworks. The most common fear-related behaviour was seeking an owner or caretaker (120 of 161, 74.5%). Most owners responded by bringing their dog inside or trying to comfort or reassure their dog. Only 22.5% of owners sought professional advice for their dog's fear of fireworks, but of these, 65.5% considered that advice to be effective. Source and breed group were significantly associated with fear of fireworks (P = 0.011, P = 0.036 respectively). Fear of fireworks was also significantly associated with fear of thunder (P < 0.0001), gunshots (P < 0.0001) and vehicles (P = 0.0009). CONCLUSION: Fear of fireworks and other loud noises negatively impacts canine welfare, yet only a small percentage of owners sought professional advice. There is scope for veterinarians to educate owners and raise awareness about the identification and management of noise-associated fear and reduce the risk of escalation of fearful behaviours.

Analysis of Firework-Related Injuries to the Upper Extremity in the United States: 2011-2020.

INTRODUCTION: The purpose of this study is to examine and characterize patterns of injury to the upper extremity caused by fireworks in a nationally representative sample of emergency department patients from 2011 to 2020. METHODS: The National Electronic Injury Surveillance System was queried for upper-extremity injuries caused by fireworks between 2011 and 2020. RESULTS: One thousand two hundred fifty-one injuries were identified from the database representing 47,235 national cases that presented to emergency departments in the United States. Case frequency was stable during the period until 2020, which was nearly 70% higher than the previous 9-y average. Patients were generally young and male, with most cases in the 10-29-y age group and males over three times as likely to be injured as females. The most common injury was burn, and the week of July 4th accounted for 53% of cases alone. Diagnosis was also significantly associated with device type. CONCLUSIONS: These data can be used to target prevention measures and campaigns to specific patient populations most at risk of injury, specifically young males. They may also be used to highlight the impact of policy changes on availability of fireworks, the need for public health education coinciding with injury incidence peaks, and secondary pandemic effects.

Chemical characterization of road dust during diwali festival in Guwahati city of Assam, Northeast India.

The present study focuses on the elemental analysis of road dust in Guwahati, the largest city of Assam and the largest metropolis of Northeast India during the Diwali festival. Road dust samples were collected on pre-Diwali (PD), the Day after Diwali (DaD), and one week after Diwali (WaD) from two sites (Lankeshwar; LKW and Patharquarry; PTQ). Three composite samples were collected from 3 points at each site. The elemental concentration was analyzed using inductively coupled plasma mass spectrometry (ICP-MS). The concentrations of Ba and Sr increased by 1.6 and 1.7 times, respectively, after Diwali. Among other firework-related elements (FREs), Mg, Al, K, and Cu increased at LKW following Diwali (both DaD and WaD), whereas Mg, Al, and K increased in DaD dust at PTQ. The average concentration of Traffic Related Elements (TREs) at PTQ was significantly higher than at LKW (p < 0.05; 75.40 mg/kg vs 63.96 mg/kg). Cd had the highest enrichment (EF), followed by Ni and Zn. EF for Cd, Ni, and Zn ranged from high to extremely high enrichment. Ni and Cd exhibited moderate contamination (CF). The ecological risk (ER) values for Cd at LKW and PTQ were 54.32 and 56.71, respectively, indicating a moderate ER. Pearson's correlation was performed to study the relationship between elements, while PCA analysis was used to identify the main sources of these elements. Although the health hazard indices presently do not suggest any immediate danger, hazard quotient (HQ) values for ingestion, inhalation, and dermal exposure were higher for children than adults. In children, the contribution of HQing to HI (total risk) was the highest, accounting for more than 65% of all elements. There is no apparent lifetime cancer risk due to road dust exposure through inhalation.

Atmospheric aerosol chemistry and source apportionment of PM10 using stable carbon isotopes and PMF modelling during fireworks over Hyderabad, southern India.

This study examined the influence of fireworks on atmospheric aerosols over the Southern Indian city of Hyderabad during festival of Diwali using mass closure, stable carbon isotopes and the EPA-PMF model. Identification of chemical species in day and night time aerosol samples for 2019 and 2020 Diwali weeks showed increased concentrations of NH4+, NO3-, SO42-, K+, organic carbon (OC), Ba, Pb and Li, which were considered as tracers for fireworks. PM10 source apportionment was done using inorganic (trace elements, major ions) and carbonaceous (organic and elemental carbon; OC & EC) constituents, along with stable isotopic compositions of TC and EC. K+/Na+ ∼1 and K+nss/OC > 0.5 indicated contribution from fireworks. High NO3-, NH4+, Na+, Cl- and SO42- suggested the presence of deliquescent salts NaCl, NH4NO3 and (NH4)2SO4. TAE/TCE >1 suggested H+ exclusion, indicating possible presence of H2SO4 and NH4HSO4 in the aerosols. Ba, Pb, Sb, Sr and Fe increased by 305 (87), 12 (11), 12 (3), 3 (2) and 3 (4) times on Diwali nights, compared to pre-Diwali of 2019 (2020), and are considered as metallic tracers of fireworks. δ13CTC and δ13CEC in aerosols closely resembled that of diesel and C3 plant burning emissions, with meagre contribution from firecrackers during Diwali period. The δ13CEC was relatively depleted than δ13CTC and δ13COC. For both years, δ13COC-EC (δ13COC - δ13CEC) were positive, suggesting photochemical aging of aerosols during long-range transport, while for pre-Diwali 2019 and post-Diwali 2020, δ13COC-EC were negative with high OC/EC ratio, implying secondary organic aerosols formation. High toluene during Diwali week contributed to fresh SOA formation, which reacted with precursor 12C, leading to 13C depletions. Eight-factored EPA-PMF source apportionment indicated highest contribution from residue/waste burning, followed by marine/dust soil and fireworks, while least was contributed from solid fuel/coal combustion.

The Diwali festival: short-term high effect of fireworks emissions on particulates and their associated empirically calculated health risk assessment at Bhubaneswar city.

This article elucidates the role of the short-term combustion of firecrackers and sparklers as a significant source of atmospheric pollutants that deteriorate ambient air quality and increase health risks during the popular Diwali festival. The study was conducted at Bhubaneswar during the festive celebration in early November 2021 (4th Nov) and late October 2022 (24th Oct) to assess the level of particulates (PM2.5 and PM10 mass concentration) and the relative health risks associated with them. PM2.5 (113.83 µg/m3) and PM10 (204.32 µg/m3) showed significant rises on D-day at all seven different sites that exceeded the NAAQS in 2021. From 2021 to 2022, an overall decrease in PM2.5 (41%) and PM10 (36%) was observed. On D-day, the total concentration of quantified metals in PM2.5 and PM10 were found to be 4.83 µg/m3 5.97 µg/m3 (2021) and 5.08 µg/m3 5.18 µg/m3 (2022) respectively. The AQI during both years (2021-2022) was found to be high for PM2.5 (unhealthy) and PM10 (moderate), but it was markedly good for all other pollutants on the scale. The overall population in the study area were under a significant health risk was observed in the overall population as PM surpassed the threshold concentration amid the festivities for consecutive years, with PM2.5 being more potent than PM10. The total excess health risk in 2022 was found to be decreased lower by ~ 88% from 2021 on D-day. But, metal exposure (through inhalation) in children were more compared to the adults for both the years. However, the exposure risk of both children and adults were high in the year 2022 with inhalation of metals like K, Al, Ba, Fe and Ca found in higher concentration and directly emitted from the firecrackers.

[Spectrum of firework injuries at a university eye clinic after the COVID-19 lockdown]. / Spektrum von Feuerwerksverletzungen an einer Universitäts-Augenklinik nach dem COVID-19-Lockdown.

BACKGROUND: The handling of fireworks regularly leads to a variety of injuries affecting the periocular region. Due to the COVID-19 lockdown and a sales ban on consumer fireworks for the private sector the number of injuries massively decreased; however, a considerable increase was registered again at the last New Year festivities. The aim of this work was to present the extent and spectrum of such injuries in a maximum care center. METHODS: As part of the nationwide survey of firework-associated eye injuries in emergency care eye clinics and hospitals, data from the MHH Eye Hospital in Hannover were compiled over the period of 3 days (30.12.2022-01.01.2023) and evaluated with respect to gender, age, severity, injury pattern, type of fireworks and treatment. RESULTS: Of a total of n = 25 injured patients, n = 19 (76%) were male. Most patients presented on New Year's Day (n = 14, New Year's Eve: n = 9; 30.12.2022: n = 2), with the majority of cases presenting with mild injuries with irritation and erosion of the ocular surface (n = 15; 60%). Of the patients four sustained moderate to severe injuries with bulbar contusion, hyphema, and sometimes iris base tears (16%). Of the patients six suffered severe, mainly open, eye injuries (24%), two of which required primary evisceration. Ignition of fireworks batteries revealed the highest risk of serious injury, affecting mainly males 31-40 years of age. Children up to 12 years of age generally sustained only minor injuries, although there were exceptions as there were among adolescents. The person who caused the fireworks injury was affected in about 52% of the cases; in 48% the victim of the accident was a bystander. In cases of complex injuries, under certain conditions only surgical exploratory diagnostics could lead to the correct diagnosis and best possible care. CONCLUSION: The extent of firework injuries is manifold and the consequences including blindness are considerable. The burden on physicians on duty on New Year's Eve and New Year's Day was enormous, as with the permission of private fireworks a large number of patients had to be cared for via the emergency room, some of whom required complex surgical care. To prevent serious eye injuries, targeted education about the risks of private fireworks and possibilities to increase safety should be intensified.

Firework-Related Ocular Trauma at a Level 1 Trauma Center During a City-Wide Pandemic Lockdown: A Case Series.

Purpose To report six ocular injury cases caused by unlicensed fireworks and subsequent complications at a level 1 trauma center in the setting of coronavirus disease 2019 (COVID-19)-related shelter-in-place orders. Observations All six cases occurred between March 2020 and July 2020 and involved fireworks of non-official use. A majority of subjects were male between the ages of 17 and 53 years old. Ocular trauma presented as the following: Case 1 is a 17-year-old male who sustained a left-sided corneal abrasion and small intraocular foreign body after a firework exploded in his hand. Case 2 is a 47-year-old male who presented with a right globe rupture after being struck with a projectile from a neighborhood fireworks display. Case 3 is a 36-year-old male with corneal abrasion, traumatic iritis, and commotio retinae after a firework injury in the setting of alcohol use. Case 4 is a 35-year-old male who presented with left lid injury, corneal abrasion, and hyphema after being struck by a firework with evidence of penetrating eye trauma on subsequent exams. Case 5 is a 53-year-old male who developed bilateral subconjunctival hemorrhages and a partial-thickness corneal laceration after a firework exploded in his left hand. Case 6 is a 48-year-old woman who sustained bilateral corneal stromal foreign bodies while cooking after a firework exploded near her vicinity. Conclusions and importance Fireworks are a preventable cause of mortality and long-term ocular morbidity. The index of suspicion for open globe injuries related to fireworks should be high given the mechanism of injury. These presenting cases at a level 1 trauma center and safety net hospital may be an unforeseen by-product of COVID-19 lockdowns. Our findings are relevant to trauma centers and safety net hospitals with large cases of firework injuries. Further initiatives to improve awareness of the dangers of fireworks should be prioritized to limit harms for all community members.

Corrigendum: Case report: early recognition, treatment, and occupational safety protection are crucial for methanol toxicity.

[This corrects the article DOI: 10.3389/fmed.2022.918812.].

Comprehensive safety risk evaluation of fireworks production enterprises using the frequency-based ANP and BPNN.

The fireworks industry has long struggled with the problem of safety. Scientific, reasonable, and operable evaluation models are prerequisites of reducing risk. Based on the data from over 100 fireworks production safety accidents in China from 2010 to 2022, two evaluation models were established from the perspective of safety risk definition. Firstly, a weight calculation derivative method, the frequency-based analytic network process (ANP), was proposed creatively. This method optimized the importance ranking index calculation process in the ANP by considering the causal frequency of risk factors in the historical accident samples, thus determining how much each indicator affects the likelihood of accidents. Secondly, utilizing the historical accident samples as the dataset, a back propagation neural network (BPNN) model was developed to extract the mathematical relationship between each risk factor and the severity of accident consequence. Finally, the frequency-based ANP and BPNN models were combined to determine the safety risk level of the fireworks production enterprises. Meanwhile, the safety evaluation research samples were used as the comparison set for empirical study with historical accident samples, involving 100 fireworks production enterprises in China evaluated from 2017 to 2020. The significance result of zero shows that there is a statistically significant difference between the likelihood evaluation results of the accident and non-accident companies. Additionally, the severity evaluation model exhibits an excellent result, revealing a classification accuracy of 98.21 %, a mean square error of 8.97 × 10-4, a percent bias of 1.24 %, and a correlation coefficient and Nash-Sutcliffe efficiency coefficient both of 0.96. The frequency-based ANP and BPNN models integrate self-learning, self-adaptive, and fuzzy information processing, obtaining more accurate and objective evaluation results. This work provides a new strategy for the promotion and application of artificial intelligence in the field of safety risk evaluation, thus offering real-time safety risk evaluation and decision support of the safety management for the enterprises.

Assessment of college students' mental health status based on temporal perception and hybrid clustering algorithm under the impact of public health events.

The dynamic landscape of public health occurrences presents a formidable challenge to the emotional well-being of college students, necessitating a precise appraisal of their mental health (MH) status. A pivotal metric in this realm is the Mental Health Assessment Index, a prevalent gauge utilized to ascertain an individual's psychological well-being. However, prevailing indices predominantly stem from a physical vantage point, neglecting the intricate psychological dimensions. In pursuit of a judicious evaluation of college students' mental health within the crucible of public health vicissitudes, we have pioneered an innovative metric, underscored by temporal perception, in concert with a hybrid clustering algorithm. This augmentation stands poised to enrich the extant psychological assessment index framework. Our approach hinges on the transmutation of temporal perception into a quantifiable measure, harmoniously interwoven with established evaluative metrics, thereby forging a novel composite evaluation metric. This composite metric serves as the fulcrum upon which we have conceived a pioneering clustering algorithm, seamlessly fusing the fireworks algorithm with K-means clustering. The strategic integration of the fireworks algorithm addresses a noteworthy vulnerability inherent to K-means-its susceptibility to converging onto local optima. Empirical validation of our paradigm attests to its efficacy. The proposed hybrid clustering algorithm aptly captures the dynamic nuances characterizing college students' mental health trajectories. Across diverse assessment stages, our model consistently attains an accuracy threshold surpassing 90%, thus outshining existing evaluation techniques in both precision and simplicity. In summation, this innovative amalgamation presents a formidable stride toward an augmented understanding of college students' mental well-being during times of fluctuating public health dynamics.

The epidemiology of firework-related injuries in the US, 2012-2022.

BACKGROUND: This study aimed to examine the epidemiology of firework-related injuries within a national population between 2012 and 2022, including the severity of injury by year, patient demographics, body region injured, firework type, and diagnosis category of injury. METHODS: Data were collected from the Consumer Product Safety Commission's National Electronic Injury Surveillance System, which is a representative nationwide database that collects data on consumer product-related injuries occurring in the US. Injury rates were calculated based on patient age, sex, body region injured, firework type, and diagnosis category. RESULTS: A total of 3219 injuries, representing an estimated 122,912 firework-related injuries, were treated in emergency departments within the US from 2012 to 2022. The overall incidence rate of firework-related injuries in the study rose by over 17% from 2012 [2.61 cases per 100,000 people (95% CI 2.03-3.20)] to 2022 and [3.05 cases per 100,000 people (95% CI 2.29-3.80)]. The rate of injuries was highest in adolescents and young adults (age 20-24; 7.13 cases per 100,000 people). Men experienced firework injuries at more than double the rate of women (4.90 versus 2.25 cases per 100,000 people). The upper extremities (41.62%), head/neck (36.40%), and lower extremities (13.78%) were the most commonly injured regions. Over 20% of cases in patients older than 20 were significant injuries requiring hospitalization. Aerial devices (32.11%) and illegal fireworks (21.05%) caused the highest rates of significant injury of any firework type. CONCLUSIONS: The incidence of firework-related injuries has risen over the past decade. Injuries remain the most common among adolescents and young adults. In addition, significant injuries requiring hospitalization occur most often during aerial and illegal firework use. Further targeted sale restrictions, distribution, and manufacturing regulations for high-risk fireworks are required to reduce the incidence of significant injury.

When prohibition works: Comparing fireworks and cannabis regulations, markets, and harms.

BACKGROUND: Nations wrestle with whether to prohibit products that can harm consumers and third parties but whose prohibition creates illegal markets. For example, cannabis is banned in most of the world, but supply for non-medical use has been legalized in Uruguay, Canada, and much of the United States and possession restrictions have been liberalized in other countries. Likewise, supply and possession of fireworks have been subject to varying degrees of prohibition in multiple countries, with those bans prompting significant evasion. METHODS: Current and past history of fireworks regulations, sales, and harms are reviewed and contrasted with those for cannabis. The focus is on the United States, but literature from other countries is incorporated when possible and appropriate. This extends the insightful literature comparing drugs to other vices (such as gambling and prostitution) by comparing a drug to a risky pleasure that is not seen as a vice but which has been subject to prohibition. RESULTS: There are many parallels between fireworks and cannabis in legal approaches, harms to "users", harms to others, and other externalities. In the U.S. the timing of prohibitions were similar, with prohibitions on fireworks being imposed a little later and repealed a little sooner. Internationally, the countries that are strictest with fireworks are not always those that are strictest with drugs. By some measures, harms are of roughly similar magnitude. During the last years of U.S. cannabis prohibition, there were about 10 emergency department (ED) events per million dollars spent on both fireworks and illegal cannabis, but fireworks generated very roughly three times as many ED events per hour of use/enjoyment. There are also differences, e.g., punishments were less harsh for violating fireworks prohibitions, fireworks consumption is heavily concentrated in just a few days or weeks per year, and illegal distribution is primarily of diverted legal products, not of illegally produced materials. CONCLUSIONS: The absence of hysteria over fireworks problems and policies suggests that societies can address complex tradeoffs involving risky pleasures without excessive acrimony or divisiveness when that product or activity is not construed as a vice. However, the conflicted and time-varying history of fireworks bans also show that difficulty balancing freedoms and pleasure with harms to users and others is not restricted to drugs or other vices. Use-related harms fell when fireworks were banned and rose when those bans were repealed, so fireworks prohibitions can be seen as "working" from a public health perspective, but not well enough for bans to be employed in all times or places.

Impact of Fireworks Industry Safety Measures and Prevention Management System on Human Error Mitigation Using a Machine Learning Approach.

In the fireworks industry (FI), many accidents and explosions frequently happen due to human error (HE). Human factors (HFs) always play a dynamic role in the incidence of accidents in workplace environments. Preventing HE is a main challenge for safety and precautions in the FI. Clarifying the relationship between HFs can help in identifying the correlation between unsafe behaviors and influential factors in hazardous chemical warehouse accidents. This paper aims to investigate the impact of HFs that contribute to HE, which has caused FI disasters, explosions, and incidents in the past. This paper investigates why and how HEs contribute to the most severe accidents that occur while storing and using hazardous chemicals. The impact of fireworks and match industry disasters has motivated the planning of mitigation in this proposal. This analysis used machine learning (ML) and recommends an expert system (ES). There were many significant correlations between individual behaviors and the chance of HE to occur. This paper proposes an ML-based prediction model for fireworks and match work industries in Sivakasi, Tamil Nadu. For this study analysis, the questionnaire responses are reviewed for accuracy and coded from 500 participants from the fireworks and match industries in Tamil Nadu who were chosen to fill out a questionnaire. The Chief Inspectorate of Factories in Chennai and the Training Centre for Industrial Safety and Health in Sivakasi, Tamil Nadu, India, significantly contributed to the collection of accident datasets for the FI in Tamil Nadu, India. The data are analyzed and presented in the following categories based on this study's objectives: the effect of physical, psychological, and organizational factors. The output implemented by comparing ML models, support vector machine (SVM), random forest (RF), and Naïve Bayes (NB) accuracy is 86.45%, 91.6%, and 92.1%, respectively. Extreme Gradient Boosting (XGBoost) has the optimal classification accuracy of 94.41% of ML models. This research aims to create a new ES to mitigate HE risks in the fireworks and match work industries. The proposed ES reduces HE risk and improves workplace safety in unsafe, uncertain workplaces. Proper safety management systems (SMS) can prevent deaths and injuries such as fires and explosions.

A triple-spark guiding strategy to enhance the loser-out tournament-based fireworks algorithm.

Loser-out tournament-based fireworks algorithm (LoTFWA) is a new baseline of fireworks algorithm (FWA). However, its ability to search deeply in local areas and communicate among fireworks is not satisfying enough. Therefore, this paper proposes a new triple-spark guiding strategy for LoTFWA to deal with the mentioned problems. Among the three sparks generated for guiding, one is exactly the same as the original one in LoTFWA, the second one uses the centroid of good sparks to enhance the local exploitation, and the last one is based on Differential evolution (DE) mutation and used to enhance cooperation and exploration. Experimental results show that with low computational cost, the proposed guiding strategy attains significantly better results than LoTFWA and is competitive with state-of-the-art FWA variants. Furthermore, comprehensive experiments show that the proposed strategy has the potential to combine with other FWA variants to achieve better results.

Reliable and efficient emergency rescue networks: A blockchain and fireworks algorithm-based approach.

In recent years, coronavirus disease 2019 (COVID-19) has been a severe issue the world faces. Emergency rescue networks concerning the distribution of relief materials have gained extensive attention to tackle COVID-19 and related emergency issues. However, it is challenging to establish reliable and efficient emergency rescue networks due to information asymmetry and lack of trust among different rescue stations. In this work, we propose blockchain-based emergency rescue networks to track every transaction of the relief materials reliably and make decisions to deliver relief materials efficiently. More specifically, we propose a hybrid blockchain architecture that employs on-chain data verification to authenticate data records and off-chain data storage to reduce storage overhead. Furthermore, we propose a fireworks algorithm to efficiently calculate the optimal allocation strategies for relief materials. The algorithm provides chaotic random screening and node request guarantee techniques with good convergence. The simulation results show that integrating blockchain technology and the fireworks algorithm can significantly improve relief materials' operation efficiency and distribution quality.

An Adaptive Multi-Mode Navigation Method with Intelligent Virtual Sensor Based on Long Short-Term Memory in GNSS Restricted Environment.

Aiming at the problem of fast divergence of pure inertial navigation system without correction under the condition of GNSS restricted environment, this paper proposes a multi-mode navigation method with an intelligent virtual sensor based on long short-term memory (LSTM). The training mode, predicting mode, and validation mode for the intelligent virtual sensor are designed. The modes are switching flexibly according to GNSS rejecting situation and the status of the LSTM network of the intelligent virtual sensor. Then the inertial navigation system (INS) is corrected, and the availability of the LSTM network is also maintained. Meanwhile, the fireworks algorithm is adopted to optimize the learning rate and the number of hidden layers of LSTM hyperparameters to improve the estimation performance. The simulation results show that the proposed method can maintain the prediction accuracy of the intelligent virtual sensor online and shorten the training time according to the performance requirements adaptively. Under small sample conditions, the training efficiency and availability ratio of the proposed intelligent virtual sensor are improved significantly more than the neural network (BP) as well as the conventional LSTM network, improving the navigation performance in GNSS restricted environment effectively and efficiently.

Firework smoke: Impacts on urban air quality and deposition in the human respiratory system.

Particle number concentrations and size distributions resulting from the firework displays held in Budapest, Hungary every year on St. Stephen's Day were studied over a period of seven years. In the year most impacted, the total particle number concentration reached its peak measured level of 369 × 103 cm-3 5 min after the end of the display, and returned to the pre-event state within 45 min. The fireworks increased hourly mean concentrations by a factor of 5-6, whereas the concentrations in the diameter range of 100-1000 nm, in which the magnitude of the increase was the greatest, were elevated by a factor of 20-25. An extra particle size mode at 203 nm was manifested in the size distributions as result of the fireworks. The PM10 mass concentrations at peak firework influence and as 1-h mean increased 123 and 58 times, respectively, relative to the concentration before the display. The smoke was characterised by a relatively short overall atmospheric residence time of 25 min. Spatiotemporal dispersion simulations revealed that there were substantial vertical and horizontal concentration gradients in the firework plume. The affected area made up a large part of the city. Not only the spectators of the display at the venue and nearby areas, but the population located further away downwind of the displays and more distant, large and populous urban quarters were affected by the plume and its fallout. The fireworks increased the deposition rate in the respiratory system of females by a factor of 4, as a conservative estimate. The largest surface density deposition rates were seen in the segmental and sub-segmental bronchi, which represents an excessive risk to health. Compared to adults, children were more susceptible to exposure, with the maximum surface density deposition rates in their case being three times those of adults in the trachea.