Search Results (480)

With increasing urban economic development, some industrial parks and residential areas are being situated adjacent to each other, creating a potential risk of soil and groundwater contamination from the wastewater and solid waste produced by enterprises. This contamination poses a threat to the health of nearby residents. Currently, groundwater pollution prevention and control zoning in China primarily targets groundwater environmental pollution risks and does not consider the health risks associated with groundwater exposure in industry–city integration areas. Therefore, a scientific assessment of environmental risks in industry–city integration areas is essential for effectively managing groundwater pollution. This study focuses on the high frequency and rapid pace of human activities in industry–city integration areas. It combines health risk assessment and groundwater pollution simulation results with traditional groundwater pollution control classification outcomes to develop a groundwater pollution risk zoning framework specifically suited to these integrated areas. Using this framework, we systematically assessed groundwater pollution risks in a representative industry–city integration area in the middle reaches of the Yangtze River in China and delineated groundwater pollution risk zones to provide a scientific basis for local groundwater environmental management. The assessment results indicate that the total area of groundwater pollution risk control zones is 30.37 km², accounting for 19.06% of the total study area. The first-level control zone covers 5.38 km² (3.38% of the total area), while the secondary control zone spans 24.99 km² (15.68% of the total area). The first-level control zone is concentrated within industrial clusters, whereas the secondary control zone is widely distributed throughout the region. In comparison to traditional assessment methods, the zoning results derived from this study are more suitable for industry–city integration areas. This study also provides groundwater management recommendations for such areas, offering valuable insights for groundwater control in integrated industrial–residential zones. Full article

Ultrahigh resolution fine particulate matter (PM_2.5) mass concentration remote sensing products are crucial for atmospheric environmental monitoring, pollution source verification, health exposure risk assessment, and other fine-scale applications in urban environments. This study developed an ultrahigh resolution retrieval algorithm to estimate 30 m resolution PM_2.5 mass concentrations over urban areas from Landsat-8 and Sentinel-2A/B satellite measurements. The algorithm utilized aerosol optical depth (AOD) products retrieved from the Landsat-8 OLI and Sentinel-2 MSI measurements from 2017 to 2020, combined with multi-source auxiliary data to establish a PM_2.5-AOD relationship model across China. The results showed an overall high coefficient of determination (R²) of 0.82 and 0.76 for the model training accuracy based on samples and stations, respectively. The model prediction accuracy in Beijing and Wuhan reached R² values of 0.86 and 0.85. Applications in both cities demonstrated that ultrahigh resolution PM_2.5 has significant advantages in resolving fine-scale spatial patterns of urban air pollution and pinpointing pollution hotspots. Furthermore, an analysis of point source pollution at a typical heavy pollution emission enterprise confirmed that ultrahigh spatial resolution PM_2.5 can accurately identify the diffusion trend of point source pollution, providing fundamental data support for refined monitoring of urban air pollution and air pollution prevention and control. Full article

Private 5G networks offer exclusive, secure wireless communication with full control deployments for many clients, such as enterprises and campuses. In these networks, edge computing plays a critical role by hosting both application services and the User Plane Functions (UPFs) as containerized workloads close to end devices, reducing latency and ensuring stringent Quality of Service (QoS). However, edge environments often face resource constraints and unpredictable failures such as network disruptions or hardware malfunctions, which can severely affect the reliability of the network. In addition, existing redundancy-based UPF resilience strategies, which maintain standby instances, incur substantial overheads and degrade resource efficiency and scalability for the applications. To address this issue, this study introduces a novel design that enables quick detection of UPF failures and two failover mechanisms to restore failed UPF instances either within the cluster hosting the failed UPF or across multiple clusters, depending on that cluster’s resource availability and health. We implemented and evaluated our proposed approach on a Kubernetes-based testbed, and the results demonstrate that our approach reduces UPF redeployment time by up to 37% compared to baseline methods and lowers system cost by up to 50% under high-reliability requirements compared to traditional redundancy-based failover methods. These findings demonstrate that our design can serve as a complementary solution alongside traditional resilience strategies, offering a particularly cost-effective and resource-efficient alternative for edge computing and other constrained environments. Full article

Accurately identifying the sources of fine particulate matter (PM_2.5) pollution is crucial for pollution control and public health protection. Taking the PM_2.5 pollution event that occurred in Suzhou in June 2023 as a typical case, this study analyzed the characteristics and components of PM_2.5, and quantified the contributions of meteorological conditions, regional transport, and local emissions to the summertime PM_2.5 surge in a typical Yangtze River Delta (YRD) city. Chemical composition analysis highlighted a sharp increase in nitrate ions (NO₃⁻, contributing up to 49% during peak pollution), with calcium ion (Ca²⁺) and sulfate ion (SO₄²⁻) concentrations rising to 2 times and 7.5 times those of clean periods, respectively. Results from the random forest model demonstrated that emission sources (74%) dominated this pollution episode, significantly surpassing the meteorological contribution (26%). The Weather Research and Forecasting model combined with the Community Multiscale Air Quality model (WRF–CMAQ) further revealed that local emissions contributed the most to PM_2.5 concentrations in Suzhou (46.3%), while external transport primarily originated from upwind cities such as Shanghai and Jiaxing. The findings indicate synergistic effects from dust sources, industrial emissions, and mobile sources. Validation using electricity consumption and key enterprise emission data confirmed that intensive local industrial activities exacerbated PM_2.5 accumulation. Recommendations include strengthening regulations on local industrial and mobile source emissions, and enhancing regional joint prevention and control mechanisms to mitigate cross-boundary transport impacts. Full article

Improper emissions from industrial activities pose toxicological risks to groundwater safety. Based on an environmental forensic identification case involving livestock (sheep) damage caused by groundwater pollution in a pastoral area, we comprehensively evaluated groundwater quality risks, toxicological risks, and pollution sources using multivariate statistical methods, the Nemerow index method, and a non-carcinogenic health risk model. The potential specific pollutants in the region mainly included calcium, potassium, sodium, magnesium, manganese, fluoride, chloride, sulfate, ammonia nitrogen, total dissolved solids, and nitrate. An evaluation of the groundwater health risk factors showed that fluoride, nitrate, and manganese pose higher health risks (HQ > 1), as fluoride > nitrate > manganese. This suggests that these three pollutants were the primary causes of livestock damage. Identification of pollution sources using multivariate statistical analysis revealed that the main pollutants in the groundwater originate from two rare earth enterprises in the surrounding industrial park, followed by the emissions from animal husbandry. This study provides guidelines into comprehensive regional toxicological risk assessment and source tracing, offering an identification method for similar forensic environmental damage cases. Full article

Mathematical modeling and computer visualization of hazardous zones of toxic substance cloud spread that occur during different accidents at industrial enterprises located near residential areas are in high demand to support the operational planning of evacuation measures and accident response. The possible chain-like nature of fires and explosions of containers with toxic substances inside increases the importance of predicting changes in hazardous zone parameters in real time. The objective of this study is to develop algorithms for the development of a mathematical model of a hazardous zone during an explosion and fire at an enterprise. The subject of this study is a software tool created for the visualization of hazardous substance emission zones in real time, superimposed onto a development map to determine potential damage to human health and for the operational planning of evacuation measures. The proposed model takes into account variables such as the air temperature, wind speed and direction, the mass of the substance at each explosion and fire site, etc. C# and Visual Studio 2022 languages and an SQL database were used to create a software tool for visualizing the hazardous area. The testing of the calculation model and software used for the visualization of the hazardous zones of toxic substance cloud spread are presented on the basis of explosion cases involving a railway tank containing ammonia and the combustion of polyvinyl chloride at a chemical industry enterprise. The results confirmed the operability of the software and the prospects of its use in regard to the mitigation of the consequences of human-made accidents. Full article

Background/Objectives: Value frameworks are useful tools to explicitly define the dimensions and criteria important for decision-making, but no existing frameworks capture the broad value domains of population genomic programs. Using a mixed methods approach, we aimed to develop a novel value framework for evaluating population genomic programs (PGPs). Methods: We first conducted a targeted literature review of published evidence on the value of PGPs and existing frameworks to evaluate and quantify their impact. Value domains and elements were extracted and summarized to develop a preliminary framework. Semi-structured stakeholder interviews on the preliminary framework were conducted from March 2024 to October 2024 with 11 experts representing 9 countries. A thematic analysis of interview transcripts was conducted to map value elements to domains of the final framework. Results: We identified 348 potentially relevant articles from MEDLINE-indexed and the gray literature sources. After title and abstract screening, 23 articles met the inclusion criteria and underwent full-text review, and 8 reported value elements were extracted and mapped to a preliminary framework for testing in interviews. Stakeholder themes were summarized into the value domains and elements of the final framework, which included health as a primary domain, education and research, enterprise and finance, and labor as the core domains, and agriculture and security as extended domains. Domains and elements may be excluded based on stakeholder objectives and program characteristics. Conclusions: This novel framework for assessing the comprehensive value of PGPs provides a foundational step to assess the value of these programs and may promote more efficient and informed allocation of resources. Full article

As we move toward a more digitalized and interconnected world, new cybersecurity challenges emerge. While most related research has focused on large companies, this study aims to fill a gap in the literature by exploring cybersecurity issues in small and medium-sized enterprises (SMEs), particularly in relation to nontechnical, soft-skill, and intellectual capital aspects. This study examines the interplay between cybersecurity awareness and perception and ownership structure in SMEs in the Silesian region of Poland. Unlike the majority of cybersecurity literature, our focus is on how ownership structure influences cybersecurity perception. We surveyed 200 SMEs at random within the respective region and utilized hierarchical and simple linear regression analyses to assess the relationships between these factors and financial performance. Our results indicate that larger enterprises and those without a family-owned structure exhibit significantly greater levels of cybersecurity. Additionally, we found a positive correlation between cybersecurity and a firm’s financial performance and overall health. These findings underscore the importance of cybersecurity awareness and practices for the growth and stability of SMEs. Full article

This study explores how private sector initiatives within the tourism industry can contribute to public health outcomes and Sustainable Development Goal 3 (SDG 3) through sustainable agricultural practices. Using a mixed-methods approach that combines a systematic literature review with an in-depth case study, the research examines how integrated strategies—such as pesticide-free farming, biodiversity enhancement, and edible landscape design—can reduce environmental health risks, improve nutritional quality, and promote local resilience. A series of sustainability interventions are analyzed using key performance indicators (KPIs) related to pesticide use, organic production, pollinator conservation, and community engagement. The findings reveal that business-led sustainability models can support systemic change when grounded in clear metrics and cross-sector collaboration. Although the absence of pre-2019 baseline data and direct health outcome measurements limit causal inference, the study provides a valuable blueprint for aligning private enterprise practices with global health and sustainability objectives. The implications are relevant for policymakers, hospitality operators, and public health stakeholders aiming to foster synergies between tourism, agriculture, and well-being. Full article

The reduction of environmental pollutant emissions—including greenhouse gases, particulate matter, and other harmful substances—represents one of the foremost challenges in climate policy, economics, and industrial management today. Excessive emissions of CO₂, NO_X, and suspended particulates exert significant impacts on climate change as well as human health and welfare. Consequently, numerous studies and regulatory and technological initiatives are underway to mitigate these emissions. One critical area is intra-plant transport within manufacturing facilities, which, despite its localized scope, can substantially contribute to a company’s total emissions. This paper aims to assess the potential of computer simulation using FlexSim software as a decision-support tool for planning inter-operational transport, with a particular focus on environmental aspects. The study analyzes real operational data from a selected production plant (case study), concentrating on the optimization of the number of transport units, their routing, and the layout of workstations. It is hypothesized that reducing the number of trips, shortening transport routes, and efficiently utilizing transport resources can lead to lower emissions of carbon dioxide (CO₂) and nitrogen oxides (NO_X). The findings provide a basis for a broader adoption of digital tools in sustainable production planning, emphasizing the integration of environmental criteria into decision-making processes. Furthermore, the results offer a foundation for future analyses that consider the development of green transport technologies—such as electric and hydrogen-powered vehicles—in the context of their implementation in the internal logistics of manufacturing enterprises. Full article

Ensuring employee safety is a top priority for every enterprise, and it is especially critical in high-risk industries like coal mining. To achieve this goal, it is essential to focus efforts on identifying existing hazards and thoroughly assessing the associated risks. Accurate identification and detailed characterization of occupational hazards play a pivotal role in the occupational risk assessment process, providing the foundation for effective safety strategies. This article presents an analysis of the process of identifying occupational hazards in hard coal mining, based on applicable legal regulations and a review of the relevant literature. The analysis reveals, on the one hand, a diversity of approaches to hazard classification, and on the other, a limited use of the characteristic features of hazards in classification processes. The findings of this review form the basis for proposing a systematic classification of occupational hazards in hard coal mining, taking into account the specific features of hazards in relation to their sources and potential consequences. The proposed classification not only categorizes hazards but also describes the specifics of hazard sources, such as environmental conditions, machinery, chemicals, and human factors, as well as the possible outcomes of these hazards, including physical injury, health impacts, and even fatalities. The aim of this article is to present a proposed classification of occupational hazards in hard coal mining and to provide a detailed characterization of these hazards based on the description of their sources and potential consequences. The proposed approach, grounded in the identification of characteristic features of hazards, facilitates the effective selection of preventive measures that can be implemented to reduce risk and improve workplace safety. Due to the presence of the full spectrum of natural hazards in Polish hard coal mining, the analysis draws on available statistical data, focusing on those hazards that contribute most significantly to fatal accidents and serious injuries. In conclusion, the article emphasizes the importance of a structured and systematic approach to identifying and assessing occupational hazards in the coal mining industry. By drawing on legal and literature-based insights, it aims to contribute to the development of more effective safety practices that protect workers and minimize the occurrence of workplace accidents and illnesses. Full article

The increasing emphasis on integrating sustainability into corporate operations has prompted supply chain managers to incorporate not only economic objectives but also environmental and social considerations into their network designs. This study presents a structured six-stage methodology to develop a fuzzy multi-objective optimization model for the sustainable design of a multi-level, multi-product forward supply chain network. The model incorporates two conflicting objectives: minimizing total network costs and reducing environmental impact. To quantify environmental performance, a comprehensive life cycle assessment is conducted in accordance with the ISO 14040 standard and the ReCiPe 2016 method, focusing on three impact categories: human health, resources, and ecosystems. To address uncertainty in demand and production costs, fuzzy mixed-integer linear programming is employed. The model is validated and applied to a real-world case study of a dairy small-to-medium enterprise in Ecuador. Using the epsilon-constraint method, a Pareto frontier is generated to illustrate the trade-offs between the economic and environmental objectives. This research provides a robust decision-making tool for uncertain environments and advances knowledge on the integration of life cycle assessment with supply chain optimization and network design methodologies for sustainable development. Full article

Severe bushfires in South-Eastern Australia during the summer of 2019/2020 killed tens of thousands of livestock, while many more survived on fire-affected properties. At the time, the literature on bushfire and livestock in Australia primarily described animals with burns. The mid- to long-term health effects, if any, of fire exposure and the effectiveness of recovery activities for surviving animals and farm enterprises were rarely reported. This study aimed to describe the key impacts of bushfire exposure on the health, welfare, and management of surviving cattle and sheep to inform recommendations for future fire-affected farmers and to guide future research. As part of a broad research programme, data on bushfire experiences, consequences for the livestock and the farm enterprise, and lessons learnt were gathered through face-to-face interviews and an online survey, collating information from 58 fire-affected farmers. A variety of health conditions at low frequency were reported in livestock surviving bushfires, including respiratory disease, eye disease, ruminal acidosis, lameness, and plant toxicities. No single disease was observed widely across participating farms, with many conditions likely associated with management changes post-fire rather than direct fire exposure. A variety of management and farm biosecurity challenges were also described by farmers. Key strategies for the prevention and treatment of health conditions in livestock post-bushfire include supporting effective farm management through the challenges of post-fire recovery and early detection for treatment on a case-by-case basis. Full article

Categorization of enterprises by size provides a fundamental understanding of the composition of the business environment. Small, medium-sized, and large enterprises play a significant role in the national economy through the execution of specific business activities. In their pursuit of enhancing the efficiency of individual business processes and mitigating the risks associated with these activities, enterprises may implement various ISO standards, including quality management, environmental management, occupational health and safety (OSH), or corporate social responsibility (CSR) systems. The sources published to date do not clearly explain the mutual relationship that arises when implementing multiple ISO standards that prioritize different activities within a single enterprise. This gap is particularly evident in the context of small enterprises, which often do not have the obligation or capacity to implement ISO standards. This study addresses this research gap by identifying the relationship between implemented ISO standards, priority activities in the risk management process, and the person responsible for these activities. The objective of this article is to examine the relationship of dependency between specific ISO standards and the priority activity in risk management. Furthermore, the study seeks to determine whether the degree of implementation of ISO standards influences the selection of the person responsible for risk management. Additionally, it examines whether dependence exists between the priority activity in risk management and the specific person responsible for risk management. The authors provide statistical hypothesis testing based on data from a nationwide survey conducted across all enterprise size categories. The results obtained from this study confirm the presence of a dependency between the degree of ISO standards implementation and the priority activity in risk management across all enterprise size categories. However, a statistically significant dependency between the degree of implementation of ISO standards and the person responsible for risk management was not confirmed in large companies. The dependency between the selection of the person responsible for risk management and the priority activity in risk management was confirmed only in small enterprises. Full article

This study explores the emerging link between digital marketing and the circular economy, situated within the broader context of sustainability and digital transformation. Through a scientometric analysis of 276 documents indexed in Scopus, the research maps the conceptual, intellectual, and collaborative landscape of this intersection. The dataset was refined using the PRISMA standards, and the analysis was carried out with the R package bibliometrix. The findings reveal a highly fragmented body of literature, with a few prolific authors and limited international cooperation. Most of the influential publications are concentrated in a small number of sources, particularly the journal Sustainability. Thematic mapping identifies growing interest in areas such as consumer perception, sustainable development, and the adoption of digital tools by micro-enterprises, while other topics like recycling or public health remain peripheral. Although the scholarly output has surged in recent years (especially during 2023 and 2024), the field still lacks coherent theoretical frameworks or dominant research schools. Overall, digital marketing appears to be a promising driver for promoting circular practices, but further applied studies and enhanced international collaboration are essential to consolidate this line of inquiry. Full article