Disaster Emergency Research Articles

The driving mechanism of citizens’ protective behaviors for rainstorm flood disasters in China: an empirical study based on the protection motivation theory and protective action decision model

[Background/significance]Rainstorm floods have become a high-impact natural disaster and are expected to become more extreme shortly, seriously threatening human safety. Although the government issues timely and precise rainstorm flood warning information, citizens remain indifferent and engage in maladaptive behavior. Therefore, understanding the relationship between emergency information, psychological cognition, individual characteristics, and protective behavior is crucial for effective risk information communication and evacuation guidance. [Method/process]This study utilizes the protection motivation theory (PMT) and protective action decision model (PADM) to develop a structural equation model (SEM) that evaluates the factors driving both protective and non-protective behaviors of individuals to rainstorm flood disasters. [Result/conclusion]The findings indicate that the disaster experience and emergency information received significantly shape how individuals perceive risks, their ability to manage them, and who should be accountable for the disaster. The findings further indicate that how people view their ability to handle a risk situation (perceived coping ability) and who they think is responsible for the situation (perceived attribution of responsibility) directly influence whether they will take protective behaviors. Based on these results, this study puts forward policy recommendations for emergency information release strategies to enhance citizens' willingness to adopt protective behaviors.

Deeply trapped electrons induced long-time sustainable mechanoluminescence of X-ray irradiated La2Ti2O7:Pr3+ for detection of stress burst

X-ray irradiated La2Ti2O7:Pr3+ was found to show long-time sustainable mechanoluminescence (ML), which can realize the high sensitivity and real time detection of stress burst for more than 72 h. Under the excitation of X-ray, La2Ti2O7:Pr3+ shows red ML emissions located at 610, 624 and 638 nm, which are similar to the afterglow emission spectrum and can be ascribed to1D2-3H4, 3P0-3H4 and 3P0-3H2 of Pr3+. And the linear increases of compressive load can induce the linear increases of ML intensity of the sample, indicating that the X-ray induced ML emission can be utilized to accurately detect the stress applied on the object. Furthermore, X-ray irradiated La2Ti2O7:Pr3+ possesses excellent stability and the repeatability of ML emission and the ML signals can keep stable even 50 load cycles after 1 h decay. The thermoluminescence results suggest that abundant electrons are trapped in shallow and deep answered for stable ML emission. More importantly, the deeply trapped electrons induced ML emissions from X-ray irradiated La2Ti2O7:Pr3+ can be utilized to detect the stress bursts for a long time. When the sample is recharged by 5 min X-ray irradiation once, within 24 h decay, the 1500 N burst among many 1000 N cycles can be clearly detected, and the signal to noise ratio (S/N) reaches 1.32 and 1.26 after 12 and 24 h decay, respectively. And even after 72 h decay, the S/N of 2500 N still arrives at 1.23 and that of 4000 N reaches 1.97, indicative of long-time high sensitivity detection of abnormal stress. All these results suggest that the X-ray-irradiated La1.97Ti2O7:0.03Pr3+/resin sample can realize the high sensitivity and real time detection of stress burst for more than 72 h, which thus possesses great potential application in early warning of the emergency disasters such as bridge fracture, tunnel collapse and so on.

Pediatric crush-related acute kidney injury and risk factors: asingle center experience.

Crush injury, the most important trauma complicationencountered in earthquake victims, occurs as a result of prolonged compression of muscle mass. Crush syndrome, resultingfrom crushinjury, and acute kidney injury (AKI) are the most common causes of in-hospital deaths after earthquakes. The aim of this study is to convey our experience afterthe devastating Turkey-Syria earthquake and to identify the risk factors of crush syndrome and crush-related AKI. Of the 1134 children admitted to the emergency department, 265 with crush injury were included the study. Demographic information, laboratory and clinical data of the patients were retrospectively analyzed. Mean age of the patientswas 10.3 ± 4.9years (134 femalesand131 males). The median time spent under the rubble was 20h. Crush syndrome developed in 135 (50.9%). Patients with crush syndrome were older and had higher body weight, respectively (p = 0.014, p = 0.044). Acute kidney injury was present in 157 (59.2%) patients. Thirty-two patients (12.1%) received kidney replacement therapy (KRT). The risk factors for the development of AKI Stage 3 were crush syndrome, abdominal trauma, and age. This disaster taught us the importance of establishing in advancea national emergency disaster plan. Older pediatric earthquake victims with multiple trauma and severe crush syndrome should be closely followed-up for development of AKI and, if necessary, started on dialysis. Timely access to medical care, early fluid resuscitation, and effective use of dialysis treatment are essential.

DEVELOPING A LOCALIZED OPTIMAL FLOOD BARRIER IN THE PHILIPPINES

In the Philippines, flood is a usual experience due to its geographical location near the equator. This calls for governmental units to establish flood control protocols that utilize equipment to effectively mitigate the impact of the floods. However, the existing protocols lack proper equipment integrated in their flood protocols that effectively handle flood occurrences. This research aims to improvise the current practices of the Philippine local government units in combating flood by proposing the optimal flood barrier design to be deployed for flood control and damage mitigation and investigate the optimal flood barrier for deployment. The methodology involves revisiting operational manuals of the target community of the Philippine governmental units and exploring existing flood barrier designs in literature and the market, whether in or out of the Philippines. Barriers designed in the literature and market were investigated, where there is a physical experiment conducted for the optimal design using physics concepts and past tests performed by studies. Results demonstrated the amount of force that can be resisted by the barriers, the amount of flood water until it floats, and the maximum velocity until barriers move. This is the first study to investigate the designs of flood barriers that are suitable for deployment and selects the optimal barrier for flood control for the Philippine setting while integrating it to the Philippine flood protocols. This research will be valuable to studies in regards with flood emergency disaster management planning.

A new perspective to understand public response to the Typhoon Doksuri from coastal and inland regions

Massive amounts of data from social media possess the potential to rapidly identify the primary issues of concern in emergency disaster management. In summer 2023, Super Typhoon Doksuri which was an exceptionally special typhoon disaster that caused severe damage to China's coastal areas and disastrous impacts in inland regions, particularly triggered the most severe rainstorm in Beijing area in over a century. To enhance typhoon hazard reduction in both coastal and interior locations, it is crucial to examine public response to these events. This study uses microblog text data from July 27 to August 3 of 2023 to map the public response to Typhoon Doksuri. The Support Vector Machine (SVM) algorithm was used to classify the microblog text in combination with the typhoon path to analyze the spatial and temporal variations of the emotions of the affected individuals. The relationship between changes in public opinion, the distribution of topics, and the major disasters triggered by the residual circulation of Typhoon Doksuri in the Beijing-Tianjin-Hebei region is discussed. The Mentougou mega-storm in Beijing area that occurred in July 2023 is a typical case. The findings demonstrate that during the typhoon event, the focus of public attention changed with the movement of the typhoon path, and various public opinion topics exhibited temporal synchronization. Public sentiment indicates that the overall supportive sentiment is higher than is fearful sentiment. Based on this, it is crucial to strengthen the Beijing-Tianjin-Hebei cooperative emergency response, and response measures were proposed related to urban flood control and drainage construction, public awareness, backward areas, secondary disasters, resident relocation, and social media technology.

Performance Analysis of an Aerial Remote Sensing Platform Based on Real-Time Satellite Communication and Its Application in Natural Disaster Emergency Response

The frequency of natural disasters has increased recently, posing a huge threat to human society. Rapid, accurate, authentic, and comprehensive acquisition and transmission of disaster information are crucial in emergency response. In this paper, we propose a design scheme for an aerial remote sensing platform based on real-time satellite communication. This platform mainly includes a civilian heavy-duty unmanned aerial vehicle, ground observation system with the self-developed orthographic image stabilization device, wireless communication system with an airborne mobile communication device using Ku band, ground satellite information receiving station, and data processing and application analysis system. The image stabilization capability of the ground observation system and the communication capability of the wireless communication system were verified through ground and flight tests respectively. The results showed that the stability accuracy of the platform was better than the theoretical threshold, the system transmission rate was not less than 2 M bandwidth, the data packet loss rate was low, and the time delay was not more than 2 s. The images captured in the experiment were clear, with a resolution of less than 1cm and an overlap rate of more than 70%. These all results meet the emergency observation requirement, which indicates that the aerial remote sensing platform based on real-time satellite communication has great potential for application in natural disaster emergency response.

ANALISIS KEBERLANJUTAN PROGRAM PRO-BEBAYA DI KOTA SAMARINDA PASCA PILKADA 2024

This study aims to describe and analyze the safety behavior of residents towards emergency disaster mitigation efforts around the Samarinda Fuel Terminal. This research was conducted using a quantitative descriptive method. The population is all heads of families in the RT 27 area of Teluk Lerong Ulu Village as many as 44 people and all of them are used as research samples (total sampling). Data collection was carried out on June 1-20 2023 by direct interview method using a questionnaire with a closed list of questions. The results of the study obtained information that most residents stated the importance of installing evacuation routes in disaster-prone environments such as fire hazards, residents stated that evacuation route signs should be installed using materials that are not flammable and not easily damaged and are willing to take part in disaster simulation activities and maintain Evacuation sign facilities that have been installed at this time.

Alternate Care Sites: A Novel Concept in Nepal During Disaster and Public Health Emergencies.

Nepal has a health care system that is complicated by access, affordability, and availability. The geographical difficulty makes the health care reach to public more difficult. Nepal being a disasterprone country, it makes very important to strengthen the disaster preparedness up to the mark before the disaster strikes. During disaster and public health emergencies, the healthcare system quickly becomes overwhelmed or structural damage makes it non-functional, which necessitate the prior identification of Alternate Care Site by health service providers. Incorporating the identification of Alternate Care Sites into the Hospital Disaster Preparedness Plan represents a crucial transition from theoretical discussion to practical implementation for strengthening healthcare facilities. . This paper discusses the concept of Alternate Care site and its implementation in Nepal's health emergency preparedness for disaster and public health emergencies.

Management of natural disasters in the environment PT. Mutiara Masyhur Sejahtera, with the formation of an emergency response team

Background: Sidoarjo Regency, East Java, is often hit by tornadoes that cause material losses and injuries, especially at PT. Mutiara Masyhur Sejahtera located at Jalan Kahuripan Raya No. 9-11, Entalsewu, Buduran, Sidoarjo. This phenomenon encourages the need to improve disaster preparedness and response. Method: This study uses a qualitative descriptive approach with primary data collection through direct observation and in-depth interviews with the company's Project Manager. Secondary data covering organizational structure and number of employees are also used. Data is analyzed through a reduction process to ensure relevant and accurate information. Findings: Although PT. Mutiara Masyhur Sejahtera already has fire protection equipment, such as Light Fire Extinguishers (APAR), but there is no system or policy that regulates emergency response management for fires or other disasters. Forming an Emergency Response Team and creating Procedures and Work Instructions (IKA) regarding Emergency Response are needed as a reference when an emergency occurs. Conclusion: To improve disaster preparedness, companies must equip themselves with an occupational safety and health management system (SMK3) that regulates all compliance related to K3 aspects. This aims to prevent work accidents and occupational diseases, reduce the negative impact of disasters and improve overall work safety. Novelty/Originality of this study: This study presents a new approach to improving disaster preparedness in the private sector, especially for companies operating in disaster-prone areas such as Sidoarjo. This study proposes the integration of an occupational safety and health management system (OHSMS) with a particular focus on disaster emergency response management, which can be a model for other companies in improving disaster resilience.

Strength Analysis of Windlass Foundation on Hospital Auxiliary Ship by Using Finite Element Method

Indonesia is a country whose territory consists mostly of waters and islands, to support the health sector, especially for remote and inland areas and disaster emergency response activities, a means of transportation is needed that can cover and serve the area, one of which is the Hospital Auxiliary Ship (BRS). This ship is equipped with hospital facilities and infrastructure equivalent to a Type C Hospital. In its operation, the ship cannot be separated from mooring activities, therefore, the existence of a windlass as a supporting facility for lowering anchor activities is important. The windlass foundation must have optimal strength and efficiency by taking into account the reference or class as the standard used. With these considerations, this research was conducted to determine the optimality of the windlass foundation used by the Hospital Auxiliary Ship, by analyzing the maximum stress value, maximum deflection, and safety factor using the Finite Element Method. The analysis is carried out by providing load variations, namely ship loads and environmental loads. The simulation results will be compared with the calculation results based on Lloyd's Register Rules and Regulation and Biro Klasifikasi Indonesia (BKI) regulations. Reviewing the simulation results due to ship loads and environmental loads when the windlass angle is 0o, the maximum stress is 25.56 MPa, the maximum deflection is 0.01366 mm, and the safety factor is 7.81. Meanwhile, when the windlass angle is 25o, the maximum stress is 23.29 MPa, the maximum deflection is 0.01346 mm, and the safety factor is 8.58. Based on the results of calculations and analysis, it is concluded that several criteria with several angular positions formed by the windlass before and during operation still meet the criteria set by Lloyd's Register Rules and Regulation and Biro Klasifikasi Indonesia.

Disaster Management and Emergency Response: Improving Coordination and Preparedness

Disasters pose significant challenges to communities worldwide, necessitating effective disaster management and emergency response systems. This study aims to evaluate current practices in disaster management and emergency response, focusing on enhancing coordination and preparedness. Through qualitative analysis, including literature review and library research, this study assesses existing strategies and identifies areas for improvement. The findings underscore the importance of robust coordination mechanisms among various stakeholders involved in disaster management, including government agencies, non-governmental organizations, and community groups. Moreover, the study highlights the critical role of preparedness measures in mitigating the impact of disasters and facilitating timely and effective response efforts. By synthesizing insights from existing literature and case studies, this research provides valuable recommendations for enhancing disaster management and emergency response frameworks. The results emphasize the need for comprehensive planning, capacity-building initiatives, and the integration of technology to strengthen resilience and response capabilities. Furthermore, the study underscores the significance of community engagement and public awareness campaigns in fostering a culture of preparedness and resilience. Overall, this research contributes to the ongoing discourse on disaster risk reduction and emergency management by offering insights into improving coordination and preparedness strategies in the face of natural and man-made disasters.

A multicriteria decision model to improve emergency preparedness: Locating-allocating urban shelters against floods

The increasing prominence of natural disasters in recent years has made emergency disaster management one of the main challenges for building resilient societies. This way, the warming combination with human-induced urban interventions with climate change reshapes the strategic decision-making that public managers must deal with to promote safety and preparedness. Consequently, it implies complex situations under uncertainty that comprise conflicting dilemmas about which decision-makers (DMs) should establish trade-offs. Given this backdrop, this work proposes a risk-based multidimensional model for assessing urban shelter location against flood risk with Decision Analysis and Multi-Attribute Utility Theory. By using principles of the Queue Theory, the decision model undertakes four criteria that measure in a probabilistic manner the alternatives’ performance when considering urban flood disaster evacuation routes in affected areas. Altogether, it enables the DM to establish his/her preferences with views to rank potential locations for mounting temporary shelters and for planning emergency preparedness in risky areas. Being replicable to any urban context, our proposal has the potential to support and promote the development and implementation of crisis protocols consisting of measures to reduce flood impacts and adapt critical areas to climate change. From a numerical application of the proposed model, the DM is encouraged to explore graphical and tabular visualization tools, as well as sensitivity analysis, to establish in strategic terms how to design and implement emergency shelters to reduce flood risks in urban areas effectively.

Dempster–Shafer theory-based information fusion for natural disaster emergency management: A systematic literature review

The frequency and unpredictability of natural disasters pose serious challenges to emergency management in modern society. Effective emergency management requires not only rapid response, but also accurate assessment of the situation, rational allocation of resources and scientific decision-making. Dempster–Shafer theory (DST), as a powerful information fusion tool, has been widely used in natural disaster emergency management in recent years. This study sorted out the core related articles of DST in various directions in the field of natural disaster emergency management, and formed a systematic literature review. In order to support and guide the completion of this work, keywords were selected according to the rules of Systematic literature review (SLR) and the requirements of article content research to screen and determine the literatures. On this basis, relevant information of the selected literatures was analyzed, including authors, institutions, countries, keywords, etc. Then, according to the theoretical framework of integrated emergency management, fifteen structured research questions are put forward, involving various aspects of integrated emergency management system, and these questions are answered in detail. After that, it discussed the literature, and summarized the contribution and future development direction of DST based on information fusion in natural disaster emergency management. The final results show that in the field of natural disaster emergency management, DST plays various and important roles, among which one of the most important roles is the integration of decision-making evidence at various stages of disasters, so as to make better decisions. By combining with other methods, DST improves its limitations. And in the process to expand their scope of use. Then, it focuses on how to solve the extended theory, practical application dimension and related defects of DST in the field of natural disaster emergency management.

Employee and Management Preparedness in Facing Fire Disasters at Public Fuel Filling Stations in Pinrang District

Objective: The purpose of this study was to determine the preparedness of employees and management in dealing with fires at Public Fuel Filling Stations in Pinrang District. Theoretical Framework: In this topic, the main concepts and theories that underpin the research are presented. Disaster experiences influence a person's preparedness according to the theory of Havwina (2016) and Sadeka (2020), Experience in the past will have an influence on behavior in the future, so that it becomes a learning. Method: The method used is mixed methods, which is a research step by combining two pre-existing forms of research, namely qualitative research and quantitative research. This study involved 121 respondents using purposive sampling techniques, of which 112 respondents filled out the employee preparedness questionnaire and 9 respondents as informants to assess management preparedness. Variables were measured using a questionnaire and indept interview. Results and Discussion: The results showed that there was a significant relationship between disaster experience and emergency response plan, early warning system, resource mobilization and employee preparedness. The results also showed that there was no significant relationship between disaster experience and knowledge. In addition, disaster experience also affects management preparedness. The findings of this study support that disaster experience affects employee and management preparedness.. Research Implications: The practical and theoretical implications of this research are discussed, providing insight into how the results may be applied or influence practice in the field of occupational safety and health. These implications may include public fuel station workers who have highly fire-prone workplaces. Originality/Value: This research can contribute to improving occupational health and safety which can have an impact on preparedness of employees and management. The results of this study can help employees and management by educating them about the elements that can cause a decrease in performance elements that can improve preparedness in the face of fire hazards that may occur in the future.

A new two-stage emergency material distribution framework for urban rainstorm and flood disasters to promote the SDGs

Under the coupled effects of climate change and urbanization, urban rainstorm and flood has become more frequent and intense. The effect of the flood disasters emergency response has a direct impact on the success or failure of the rescue. Emergency material distribution is one of the most critical steps in the emergency response phase and is crucial to achieve the Sustainable Development Goals (SDGs). This study proposes a two-stage emergency material distribution framework for urban rainstorm and flood disasters. The entropy weight method and technique for order preference by similarity to ideal solution (EWM-TOPSIS) was adopted to incorporate the difference in relief-demand urgency into the emergency material distribution principle. The mathematical model was established by minimizing emergency travel time, inequity and social costs (logistic costs and deprivation costs) as objective functions. The gamultiobj algorithm was used to solve the model. The proposed framework is further applied in Xi'an city of China. The results showed that the affected sites were categorized into disaster risk levels I, II and III. The Pareto solution set was obtained by optimizing each conflicting objective. The emergency material distribution plan was selected from the Pareto solution set based on the actual situation. In the plan, the flood disasters emergency travel time totaled 6.48 h, the inequity totaled 3.69, and the total social costs reached 226,584 CNY. The proposed framework is more consistent with the needs of the actual rescue by comparing the four models generated plans. Decision-makers should not only consider minimizing dispatch time and social costs, but also the trade-off between equity and prioritization of distribution. This study helps to provide new ideas for sustainable urban development and emergency management. Urban rainstorm and flood disasters change with the changing environment dynamically, and it is difficult to collect dynamic disaster information on the affected sites. Thus our further study will focus on improving the prediction accuracy of dynamic urban rainstorm and flood disasters.

Advancing process-based flood frequency analysis for assessing flood hazard and population flood exposure

Recent studies have showcased the use of process-based hydrological models with Stochastic Storm Transposition (SST) techniques to conduct Flood Frequency Analysis (FFA). This framework, referred hereby FFA-SST, has proved to be a robust strategy to estimate peak flows of specific annual exceedance probability (e.g., 100-year peak flow) that can reflect natural and anthropogenic disturbances, including changes in land use and meteorological patterns. With the objective of advancing the FFA-SST framework, this study presents for the first time the use of a spatially-resolved Integrated Surface-Subsurface Hydrological Model (ISSHM) to conduct FFA-SST. This allows us to extend the analysis from peak flow responses to flood extent, enabling a unique view and analysis of flood hazard and population flood exposure at the basin scale. As a proof-of-concept, we used the ISSHM, Amanzi–ATS, and the SST model, RainyDay, to conduct FFA-SST by simulating the flood response to 5000 annual synthetic storm events in a ∼2000km2 Southeast Texas watershed. We demonstrate that ATS, without site-specific calibration, provides a robust process-based representation of peak flows, flood extent, streamflow, evapotranspiration, soil moisture content, and water storage changes. Our results and analyses, covering frequency curves up to a 500-year return period for peak flows, basin inundation fractions, and the number of people exposed to flooding, offer a unique perspective to analyze flood impacts across spatial scales. Overall, this study provides critical insights for flood risk management by extending the FFA-SST framework to include both flood hazard and population flood exposure analyses at the basin scale. Such an approach will empower stakeholders and disaster emergency agencies with a more comprehensive understanding of flood impacts across the entire basin domain, facilitating informed decision-making for flood risk assessment and management.

Collaboration with the Disaster Resilient Village Forum in Disaster Emergency Response Simulation in Ngelang Kartoharjo Village Magetan.

The problem faced by the Disaster Resilient Village Forum (Destana) in Ngelang Village, Kartoharjo District, Magetan is the difficulty in realizing community-based disaster preparedness, especially simulations of disaster emergency response. This community service activity is a follow-up to the results of research on priority parameters for realizing disaster preparedness using the Quadrant of Difficulty and Usefulness Preparedness method. The activity aims to improve the capabilities and skills of the Destana Forum in organizing disaster emergency response simulations, as well as building community resilience in facing disaster threats. The activity method is Participatory Action Research, which is applied through training and field practice. Participants were the administrators of the Destana Forum, elements of the Village Development Officer (Babinsa), Bhayangkara elements of Community Security and Order (Bhabinkamtibmas), and the community, with a total of 112 people. Activities were carried out on May 13 to May 17, 2024, in Ngelang Village, Kartoharjo District, Magetan. The results of the activity showed that the participants had succeeded in compiling and providing contingency plan documents, compiling threat scenarios, impact scenarios, and disaster event scenarios, as well as preparing operational rehearsal plans, conducting room rehearsals, and ending with a practical field rehearsal for disaster emergency response simulations. The conclusion from this activity is that strengthening community-based disaster preparedness needs to be realized through collaboration and participatory assistance.

Seismic Assessment of Electrical Equipment in Power Substations: A Case Study for Circuit Breakers

Electric power is essential in post-earthquake periods for the continuous functionality of disaster management and emergency services. In addition, interruption of electric power can cause significant economic losses due to downtime of critical facilities. Therefore, it is very important to maintain seismic safety of electric power systems and components. There are existing seismic regulations and standards regarding electric power systems, especially in the United States of America (USA) and Europe. A similar regulation has been prepared recently in Türkiye, which is a country in a seismically active region. This study focuses on the current state of practice regarding the seismic assessment of electrical equipment in power stations and implementation of the regulations on seismic qualification of these systems. Among many electrical equipment, circuit breakers have been selected for case study. The seismic assessment of the selected high voltage equipment has been performed according to the new regulation under the seismic hazard specifically defined for Türkiye. The case study experiment presents the new methodology in evaluating and classifying the seismic response of high voltage electrical equipment and provides insight to the expected behaviour of circuit breakers under earthquake induced action.

Climate Change as A Catalyst for Disaster Risk Reduction and Emergency Preparedness

Climate Change as A Catalyst for Disaster Risk Reduction and Emergency Preparedness

Knowledge-Guided Parallel Hybrid Local Search Algorithm for Solving Time-Dependent Agile Satellite Scheduling Problems

As satellite capabilities have evolved and new observation requirements have emerged, satellites have become essential tools in disaster relief, emergency monitoring, and other fields. However, the efficiency of satellite scheduling still needs to be enhanced. Learning and optimization are symmetrical processes of solving problems. Learning problem knowledge could provide efficient optimization strategies for solving problems. A knowledge-guided parallel hybrid local search algorithm (KG-PHLS) is proposed in this paper to solve time-dependent agile Earth observation satellite (AEOS) scheduling problems more efficiently. Firstly, the algorithm uses heuristic algorithms to generate initial solutions. Secondly, a knowledge-based parallel hybrid local search algorithm is employed to solve the problem in parallel. Meanwhile, data mining techniques are used to extract knowledge to guide the construction of new solutions. Finally, the proposed algorithm has demonstrated superior efficiency and computation time through simulations across multiple scenarios. Notably, compared to benchmark algorithms, the algorithm improves overall efficiency by approximately 7.4% and 8.9% in large-scale data scenarios while requiring only about 60.66% and 31.89% of the computation time of classic algorithms. Moreover, the proposed algorithm exhibits scalability to larger problem sizes.