Environmental Protection Strategy Research Articles

Levels of corporate environmental strategies in Hungary and the associated environmental management control tools

The research aims to map environmental protection strategies and the related control tools and to identify the links among companies with the largest number of employees and sites in Hungary. The research questions were answered using a questionnaire survey method. The authors used cluster analysis to classify the 205 company strategies into the identified strategy clusters: Leaders, Awakeners, and Laggards. Then, the examined 21 environmental management control tools in the sample were divided into four groups: strategic, administrative, methodological and economic. Economic and strategic methods were the most common in the sample. The authors used cross-tabulation analysis to examine whether there is a statistically proven relationship between belonging to environmental strategy clusters and specific control tools. The analysis showed significant but weak to moderate relationships. According to Cramer’s V and the contingency coefficient, the closest relationship between the tested environmental management control tools and membership in environmental strategy clusters is shown by evaluating investments, assessing the economic viability of environmental strategies, and running an environmental training program for employees. In case of the robust lambda indicator, a significant relationship was found by examining the economics of environmental strategies and identifying environmental success factors and eco-balances. It can be concluded that the companies under examination follow a set of environmental goals, which they have incorporated into their strategic objectives. They use the available environmental management control toolbox to develop their strategies and to monitor their implementation to varying degrees.

Identification of driving factors for heavy metals and polycyclic aromatic hydrocarbons pollution in agricultural soils using interpretable machine learning.

This study integrated data-driven interpretable machine learning (ML) with statistical methods, complemented by knowledge-driven discrimination diagrams, to identify the primary driving factors of heavy metal (HM) and polycyclic aromatic hydrocarbon (PAH) contamination in agricultural soils influenced by complex sources in a rapidly industrializing region of a megacity in southern China. First, the statistical characteristics of the concentrations of HMs and PAHs, and their correlations with the environmental covariates were explored. Three ML models and a statistical model comprising multiple environmental variable predictors were developed and assessed to predict the concentration of HMs in the agricultural soil. The Shapley Additive Explanations (SHAP) tool was introduced to reveal the influences of the main driving factors on pollutant concentrations. In addition, knowledge-based discrimination diagrams were adopted to discriminate the potential sources of the PAHs. Our findings indicated that Cd, Hg and Cu could be effectively predicted by the LightGBM and RF models. The identification of pollution drivers revealed that traffic emission, industry activity and irrigation significantly contributed to the pollution of Cd, Hg, Cu and high-ring PAHs in the study area, while the soil nature properties including SOM and pH also played crucial roles in influencing the HM and PAH concentrations. This work introduced an innovative approach to leverage ML for understanding complex urban soil pollution, thereby setting a precedent for data-driven environmental protection strategies to mitigate the pollution of HMs and PAHs. Future research is encouraged to optimize the models, enhance the prediction accuracy, and incorporate a broader range of influential parameters.

Characteristics of Habitat Environment and Comprehensive Protection Strategy of Traditional Villages in Chongqing

Characteristics of Habitat Environment and Comprehensive Protection Strategy of Traditional Villages in Chongqing

Port Reception Facilities and Their Role in Supporting MARPOL Annex V Compliance

This study provides a comprehensive analysis of Port Reception Facilities (PRFs) and their critical role in supporting compliance with MARPOL Annex V within the maritime industry from 2018 to 2023. The research employs a mixed-methods approach, integrating quantitative data on PRF operations with qualitative insights from stakeholder engagement. Key findings reveal significant advancements in environmental performance, including a 95% reduction in water pollutants, a 40% decrease in greenhouse gas emissions, and a 60% increase in solid waste recycling efficiency. The implementation of PRFs has achieved a compliance rate of 92% with MARPOL regulations and 88% with ISO standards. Furthermore, the study highlights a 30% increase in aquatic biodiversity and a 70% reduction in landfill volume associated with improved waste management practices. The integration of digital technologies has notably enhanced stakeholder engagement rates from 55% to 80%. Despite these positive outcomes, critical areas for future development are identified, including the need for continued investment in green technology, international standardization, and capacity building. These findings offer valuable insights for policymakers, port authorities, and industry stakeholders, contributing significantly to the existing literature on maritime environmental protection and sustainable port waste management strategies.

The key to green water-preserved mining: Prediction and integration of mining rock failure height by big data fusion simulation algorithm

Under the background of China's "double carbon" goal, coal mining must become a systematic project that takes into account both economic strategy and environmental protection strategy. The destruction of groundwater artesian field caused by the development of overburden failure caused by large-scale coal mining activities is aggravating the ecological vulnerability of mining areas in China. In this paper, the high precision integrated prediction of the development height of overburden failure zone (HOF) under multiple sedimentary conditions is studied for the first time in a large regional background. In order to adapt to the complexity and disorder of geological source data, we optimize the ensemble learning process and meta-model training. Then, by coupling the data-driven model and the simulation-driven model, a dual-driven model is obtained which can automatically reduce the noise of abnormal bands that do not comply with the laws of physical geology. The results show that the D-S dual drive model has excellent stability and net income performance, which can effectively predict the development and termination height of HOF, ensure the safety of coal mining activities, and provide a reference for the isolation control of water and coal pollution in a wide area.

Comparison of the Distribution of Evapotranspiration on Shady and Sunny Slopes in Southwest China

Evapotranspiration (ET) plays a significant role in the surface water cycle, particularly within the unique geographical context of Southwest China. The region’s different topography, driven by mountain uplift and variations in slope direction, alters regional hydrothermal conditions, thereby affecting local ecoclimatic patterns. ET characteristics, shaped by slope orientation, can also serve as important indicators of climate variability in the study area. While most existing ET research on shady and sunny slopes has been conducted at the point scale, this study employed Global Land Surface Satellite (GLASS) ET products to estimate the average ET for shady and sunny slopes across five provinces in Southwest China between 2003 and 2018. The driving factors behind the variation in ET across different regions were also explored. Key results include the following: (1) Annual ET in Southwest China ranges between 200 mm and 800 mm, with Tibet exhibiting the lowest values and Yunnan the highest. (2) ET decreases gradually with increasing altitude in the altitude range of 0 m to 5000 m. The ET is higher on the sunny slopes than on the shady slopes. Notably, when the altitude is higher than 5000 m, ET on shady slopes in Tibet is greater than that on sunny slopes as the altitude increases. (3) ET initially increases with slope inclination before decreasing. Notably, in areas with slopes exceeding 35° in Yunnan, the ET value is found to be significantly higher on shady slopes compared to sunny slopes. (4) The effects of soil moisture, the Normalized Difference Vegetation Index, relative humidity, and land surface temperature on ET are more substantial on shady slopes than sunny slopes, whereas air temperature has a stronger impact on ET on sunny slopes. These results provide valuable data for research on regional climate change and contribute to strategies for ecological and environmental protection.

Bayesian Network Analysis: Assessing and Restoring Ecological Vulnerability in the Shaanxi Section of the Qinling-Daba Mountains Under Global Warming Influences

Human activities, especially industrial production and urbanization, have significantly affected vegetation cover, water resource cycles, climate change, and biodiversity in the Qinling-Daba Mountain region and its surrounding areas. These activities contribute to complex and lasting impacts on ecological vulnerability. The Qinling Mountain region exhibits a complex interaction with human activities. The current research on the ecological vulnerability of the Qinling Mountain region primarily focuses on spatial distribution and the driving factors. This study innovatively applies the VSD assessment and Bayesian networks to systematically evaluate and simulate the ecological vulnerability of the study area over the past 20 years, which indicates that the integration of the VSD model with the Bayesian network model enables the simulation of dynamic relationships and interactions among various factors within the study areas, providing a more accurate assessment and prediction of ecosystem responses to diverse changes from a dynamic perspective. The key findings are as follows. (1) Areas of potential and slight vulnerability are concentrated in the Qinling-Daba mountainous regions. Over the past 20 years, areas of extreme and high vulnerability have significantly decreased, while areas of potential vulnerability and slight vulnerability have increased. (2) The key factors impacting ecological vulnerability during this period included industrial water use, SO2 emissions, industrial wastewater, and ecological water use. (3) Areas primarily hindering the transition to potential vulnerability are concentrated in well-developed small urban regions within basins. Furthermore, natural factors like altitude and temperature, which cannot be artificially regulated, are the major impediments to future ecological restoration. Therefore, this paper recommends natural restoration strategies based on environmental protection and governance strategies that prioritize green development as complementary measures. The discoveries of the paper provide a novel analytical method for the study of ecological vulnerability in mountainous areas, offering valuable insights for enhancing the accuracy of ecological risk prediction, fostering the integration of interdisciplinary research, and optimizing environmental governance and protection strategies.

Deciphering the driving factors and probabilistic health risks of potentially toxic elements in arid surface water: Insights from the Tarim River Basin

Potentially toxic elements (PTEs) in surface water in arid areas pose a serious threat to environmental safety and human health within a basin. It is important to determine the factors controlling PTEs and to assess the likelihood that they will pose a risk to human health in order to support the development of environmental protection and risk management strategies. In this study, a structural equation model and Bayesian method were combined to discuss the distribution and probabilistic health risks of PTEs in surface water in arid area, and the Tarim River Basin was taken as a case study. The results show that the average concentrations of As, Co, Cu, and Ni in the surface water in the Tarim River Basin ranged from 0.04 to 2.92 μg/L, which do not exceed the international standard values. However, the maximum value of As (19.20 μg/L) exceeded both the recommended drinking water standards and the Chinese irrigation water standards. Spatially, the high As concentrations were distributed in the upper reaches of the Kashgar River, and the high Co, Cu and Ni concentrations were distributed in reservoirs and lakes on the main stream of the Tarim River. The concentrations of the PTEs in the surface water in the basin were not only affected by random anthropogenic factors such as traffic discharge, agricultural activities and mining industry, but were also directly and indirectly influenced by climatic factors. The results of the probabilistic health risk assessment showed that the 95th percentile the total hazard index for infants exceeded the allowable value of 1, and the total carcinogenic risk of PTEs exposure in four age groups was at the notable level. In this study, we conducted a comprehensive analysis of the controlling factors and health risks associated with PTEs in surface water in the Tarim River Basin, and the findings are expected to provide a scientific basis for regional water environment management and safety control.

Exploring the impact of industrialization and electricity use on carbon emissions: The role of green FinTech in Asian countries using an asymmetric panel quantile ARDL approach

PurposeThe purpose of this study is to investigate how industrialization, financial development, electricity consumption, trade openness, and green FinTech affect on carbon emissions asymmetrically in Asian countries. DesignMethod/Approach: The study examined 29 years of panel data from 39 Asian countries from 1995 to 2022, sourced from World Development Indicators (WDI) and the International Monetary Fund (IMF). The study constructs a green financial technology index using principal component analysis (PCA). The study utilizes an Asymmetric Panel Quantile Autoregressive Distributive Lag (A-QARDL) model with pooled mean group (PMG) specifications to explore effects that exhibit cross-sectional homogeneous in the long-run, but heterogeneous in the short-run effects. FindingsIndustrialization and financial development have a strongly asymmetric impact on carbon emissions. Industrialization causes an increase in carbon emissions at various quantiles, while green FinTech plays a crucial role in mitigating these carbon emissions. Trade openness and domestic credit to the private sector also help reduce carbon emissions. Research limitations and implicationsThe study emphasizes the significance of employing green FinTech techniques and using renewable energy sources to meet sustainable industrialization and sustainability goals in Asian countries. The policy consequences include promoting environmentally friendly industrial practices, encouraging green financial investments, and boosting government financing for private sector research and development to mitigate carbon emissions. Originality/valueThe study employs robust modeling to analyze the role of green FinTech to enhance industrial sustainability. Both Industrialization and deindustrialization have an impact on economic emissions, and the potential of green FinTech's to promote sustainability contributes to the environment protection strategy.

Immunomagnetic separation for the enrichment of trace enrofloxacin and analysis of degradation byproducts in water

ABSTRACT The presence of trace antibiotics in water can lead to the development of drug-resistant bacterial strains, posing risks to ecosystems and human health. Immunomagnetic separation (IMS) using magnetic nanoparticles (MNPs) is an effective technique for targeted enrichment. This study established and optimized a separation system for the immunomagnetic microsphere enrichment of enrofloxacin (ENR) antibiotics, achieving efficient enrichment and isolation of ENR. To address potential elution degradation, an analysis of ENR degradation pathways and toxicity assessment of degradation products was performed. The study manifested the successful conjugation of antibodies to magnetic microspheres, leading to a 97.68% separation efficiency for ENR in water through IMS. Specifically, 1 mg of MNP@Ab could specifically bind to 1.5 ng of ENR at 37 °C for 30 min, and the elution rate exceeded 83%. No degradation products of ENR were detected during the enrichment and isolation procedures. Nevertheless, extending the elution time to 1 h disclosed three major degradation pathways with higher toxicity risks than ENR based on ecological risk assessment. To strictly control the elution temperature and elution time, the increase in temperature and time will heighten the risk of degradation products. This study presents an efficient strategy for water treatment and environmental protection.

Integrated geochemical analysis of urban and peri-urban soils: a case study of Lamia City, Greece.

The occurrence of Potentially Toxic Elements (PTEs) and other chemical elements in urban and peri-urban soils impacts human health and quality of life, posing a challenge for geoscientists. This study investigated the soil geochemistry of Lamia City, focusing on identifying the geogenic and anthropogenic origins of elements. A total of 168 topsoil samples (0-10cm) were collected in April 2023, and the analysis included the near-total concentrations of 51 elements. Descriptive, correlation, multivariate statistics (i.e., Factor Analysis-FA and Hierarchical Cluster Analysis-HCA), Geographic Information Systems (GIS) mapping, and mineralogical analysis were employed to identify potential element sources. The results indicated that the elements in soils originated from geogenic, anthropogenic, and mixed sources. Geogenic origins are associated with ultramafic rocks (e.g., Mg, Cr, Ni, Co, Fe, Sc, Mn), carbonate rocks (e.g., Ca, Sr), and Quaternary sediments (e.g., K, Na, Ba, Tl, Be, Rb, Ti, V, Ga, and Rare Earth Elements-REEs); associations are linked to specific identified minerals. All applied statistical analyses reveal that the mobility of chemical elements in the urban and peri-urban soils of Lamia city is primarily affected by geochemical processes such as element substitution, chemical weathering, pedogenesis, adsorption, precipitation, evaporation, and organic matter presence. The P, Ag, Hg, Pb, Sn, Zn, Sb, Cd, Cu, and U were associated with anthropogenic influences, particularly in areas with high population density, heavy vehicle traffic, and intensive agricultural practices. Additionally, some elements (e.g., Ca, Cd, Cu, Mo, Mn, and Li) exhibited mixed origins. This integrated approach offers valuable insights into the spatial distribution and sources of PTEs in urban and peri-urban environments, providing critical information for environmental management and public health protection strategies.

Rethinking diversification: Assessing the impact of energy concentration on climate change in rentier and non-rentier countries

Energy diversification, a critical strategy for environmental protection, has been surprisingly understudied in academic discourse. This paper seeks to address this gap by investigating the relationship between energy diversification and climate change in 76 countries from 1990 to 2020. We employ panel data techniques, and the system generalized method of moments (SYS-GMM) to analyze the impact of energy diversification, as measured by the Herfindahl-Hirschman Index, on CO2 emissions. Additionally, control variables such as economic growth, trade openness, foreign direct investment, information and technology adoption, natural resource rents, and urbanization are included in the model. The analysis is re-estimated for various country groupings based on income level and resource dependence (rentier vs. non-rentier). The findings reveal a significant positive association between energy concentration and CO2 emissions across all country groups, with the most pronounced impact is observed in middle-income, resource-rich economies (i.e., middle-income rentiers). The study also highlights differing effects of diversification on CO2 emissions between high-income and middle-income nations, which reflects the prevalence of non-rentier economies among high-income countries and rentier economies in middle-income countries. The causal relationship between CO2 emissions and energy diversification in different groups of countries is tested using the panel Granger causality test. The results reveal strong bidirectional causality between CO2 emissions and energy diversification in all country groups analyzed, except for middle-income rentier countries. By elucidating the multifaceted relationship between energy diversification and climate change, this study aims to provide valuable policy recommendations to advance sustainable development and environmental management.

Consumer Perception of Environmental Protection to Promote Mindful Consumption Behaviour through Mindfulness and Ascription of Responsibility

The fast fashion business under fire for its detrimental effects on the environment, and the economy. A lot of companies are taking ethical marketing tactics to urge consumers to be more responsible and conscious while making purchases. Study measure the impact of consumer ethical marketing perception environmental protection on mindful consumption through mindfulness and ascription of responsibility. Quantitative cross-sectional survey approach used. Test model used 321 final responses. Variance-based partial least squares structural equation modeling (PLS-SEM) was employed to examine the survey data. The outcomes indicated that fostering a mindful consumption behavior marketing tactics can play significant role. Consumer perception of environmental protection strategies can enhance the consumer responsibilities and their mindful mindset. Which ultimately influence their behavior. The research offers insightful information on ethical marketing tactics that local markets may use to promote mindful behavior and to support sustainable policies and practices in the fashion industry.

Strategic dynamics of local governments in regional collaborative governance: An evolutionary game theory analysis of haze pollution response in the Fen-Wei Plain, China

Regional collaborative governance has become a key strategy for environmental protection, especially in reducing transboundary pollution transfer. This study, set against the backdrop of environmental governance in China's Fen-Wei Plain, employs evolutionary game theory to deeply analyze the strategic choices of local governments in managing haze pollution. We developed a model incorporating 14 key variables to systematically explore the emission reduction strategies of local governments under various policy environments. Through numerical simulations, we not only validate the effectiveness of the model but also focuses on how incentives and punishments from the central government influence the stability of local governments adopting a “strict enforcement” strategy. We find that appropriate incentives from the central government can significantly enhance the tendency of local governments to choose a “strict enforcement” strategy for emission reduction. Under certain conditions, whether adopting “strict enforcement” or “superficial enforcement,” both can lead to an Evolutionarily Stable Strategy (ESS). Moreover, the intensity of rewards and penalties from the central government and the benefits of collaborative governance by local governments are key factors determining the stability of strategies. Our findings underscore the importance of establishing performance-oriented incentive mechanisms, refining reward and punishment measures, and focusing on sustainable and adaptable governance strategies. The strategic recommendations provided by this study offer important guidance for balancing incentives and punishments, thereby stimulating local government enthusiasm for governance, which supports high-quality environmental protection and sustainable development goals.

Development of Machine Learning and Deep Learning Prediction Models for PM2.5 in Ho Chi Minh City, Vietnam

The application of machine learning and deep learning in air pollution management is becoming increasingly crucial, as these technologies enhance the accuracy of pollution prediction models, facilitating timely interventions and policy adjustments. They also facilitate the analysis of large datasets to identify pollution sources and trends, ultimately contributing to more effective and targeted environmental protection strategies. Ho Chi Minh City (HCMC), a major metropolitan area in southern Vietnam, has experienced a significant rise in air pollution levels, particularly PM2.5, in recent years, creating substantial risks to both public health and the environment. Given the challenges posed by air quality issues, it is essential to develop robust methodologies for predicting PM2.5 concentrations in HCMC. This study seeks to develop and evaluate multiple machine learning and deep learning models for predicting PM2.5 concentrations in HCMC, Vietnam, utilizing PM2.5 and meteorological data over 911 days, from 1 January 2021 to 30 June 2023. Six algorithms were applied: random forest (RF), extreme gradient boosting (XGB), support vector regression (SVR), artificial neural network (ANN), generalized regression neural network (GRNN), and convolutional neural network (CNN). The results indicated that the ANN is the most effective algorithm for predicting PM2.5 concentrations, with an index of agreement (IOA) value of 0.736 and the lowest prediction errors during the testing phase. These findings imply that the ANN algorithm could serve as an effective tool for predicting PM2.5 concentrations in urban environments, particularly in HCMC. This study provides valuable insights into the factors that affect PM2.5 concentrations in HCMC and emphasizes the capacity of AI methodologies in reducing atmospheric pollution. Additionally, it offers valuable insights for policymakers and health officials to implement targeted interventions aimed at reducing air pollution and improving public health.

Combustion-explosion suppression and environmental protection of typical sulfur-containing hazardous chemicals.

Sulfur, as a crucial chemical raw, poses increased combustion-explosion risks when mixed with other hazardous substances due to its dual nature as both an oxidant and a reducing agent. Additionally, sulfur-induced combustion and explosions can result in environmental pollution. Combustion-explosion suppression technology plays a crucial role in industrial production by effectively preventing hazardous chemical explosion incidents. This research investigates the combustion-explosion suppression of black powder, a common hazardous chemical containing sulfur, by utilizing two solid-based blast suppressants, NH4H2PO4 and NaHCO3. On this basis, examining changes in the oxidation states of sulfur and explaining the mechanisms of combustion-explosion suppression through the examination of combustion-explosion products. Additionally, numerical calculations are employed to analyze the evolution patterns of gaseous and solid-phase products throughout the entire combustion-explosion process. Research indicates that NaHCO3 exhibits a more effective combustion-explosion suppression effect on black powder compared to NH4H2PO4, which attributed to the valence state transformation of sulfur and the reduction of carbon oxidation. Furthermore, with the enhancement of combustion-explosion suppression effect, K2S, which a pollutes the environment, is gradually transform converted into potassium fertilizer K2SO4, which benefits plants. These results offer new insights into the research of combustion-explosion suppression of sulfur-containing substances and environmental protection strategies.

Exchange of knowledge and the consolidation of culture for contamination management: Introduction to the RemTech Europe 2022 Special Series.

The urgency of protecting ecosystems and their recovery from contamination has been highlighted in several recent European strategies because Europe's biodiversity and landscapes are declining rapidly due to different human pressures. Despite the existence of EU and national laws addressing environmental contamination, practical procedures are often missing. For example, competent authorities must deal promptly and effectively with environmental accidents, noncompliance, and criminal offenses but relevant tools that facilitate these processes are often lacking. For example, thorough planning is crucial for effective investigation and assessment to improve environmental damage assessments in line with the European Environmental Liability Directive (ELD, 2004/35/EC). With regard to soils, a specific European legislation for their protection, the European Soil Monitoring Law, is currently being developed. However, it is crucial that this law bridges the gaps between existing chemical regulations and that it aligns with current European strategies for environmental protection and sustainability. Continuous feedback of soil monitoring results to regulatory frameworks will be essential. This feedback loop ensures that chemical regulations are relevant and effective in protecting soil health. In this context, development and sharing of effective and practical procedures for recovering ecosystems from contamination are crucial. This was the case at the RemTech Europe meeting, which was held online and onsite in Ferrara, Italy, in September 2022. The discussion covered all aspects of environmental contaminants. It ranged from the basic understanding of these contaminants to the various types that pose a threat to organisms, studies of their environmental fate, detection methods, and sustainable practices for contaminant management. The special series dedicated to RemTech Europe 2022 is particularly relevant to these purposes and resulted in six articles that were selected from oral presentations. The articles emphasize the need for integrated approaches to risk management and remediation to address the problems of soil, sediment, and groundwater contamination. Integr Environ Assess Manag 2024;00:1-5. © 2024 The Author(s). Integrated Environmental Assessment and Management published by Wiley Periodicals LLC on behalf of Society of Environmental Toxicology & Chemistry (SETAC).

Determinant of importance-performance and willingness to participate in Komodo adaptive conservation programs

This study delves into the evaluation of the Komodo dragons Adaptive Conservation Program (KACP) at Komodo National Park in Indonesia through Importance-Performance Analysis (IPA). It aims to understand how the programs components align with community priorities and assess its effectiveness. Utilizing a mixed-methods approach, this research analyzes community perceptions of KACP’s critical elements, spanning eco-tourism initiatives to environmental protection strategies. The community is categorized into local advocates, eco-tourism enthusiasts, and eco-community harmonizers, identifying how each group perceives and interacts with various facets of KACP. The findings reveal significant differences in perceptions of importance and performance among these groups, providing insights into areas of strength and those needing improvement. Additionally, the study includes an analysis of demographic influences on these perceptions through Logit and Probit models, aiming to understand the impacts across different community segments. The results highlight the necessity for an adaptive and responsive design in conservation efforts, considering community expectations and ecological impacts. Despite offering comprehensive insights, the study acknowledges limitations in the demographic scope and suggests future research directions, such as longitudinal studies and an expanded analysis of variables. These findings offer critical guidance for policymakers and conservation practitioners to enhance conservation programs’ effectiveness and community alignment, emphasizing the need to adapt to the challenges and changes introduced by KACP.

Decomposition and fragmentation of conventional and biobased plastic wastes in simulated and real aquatic systems

AbstractPlastics play a crucial role in our daily lives. The challenge, however, is that they become waste and contribute to a global environmental problem, increasing concerns about pollution and the urgent need to protect the environment. The accumulation and fragmentation of plastic waste, especially micro- and nanoplastics in aquatic systems, poses a significant threat to ecosystems and human health. In this study, the decomposition and fragmentation processes of conventional and biobased plastic waste in simulated water bodies (waters with different pH values) and in real water systems (tap water and seawater) are investigated over a period of one and six months. Three types of plastic were examined: thermoplastic polyethylene terephthalate and thermoset melamine etherified resin in the form of nonwovens and biobased polylactic acid (PLA) in the form of foils. Such a comprehensive study involving these three types of plastics and the methodology for tracking degradation in water bodies has not been conducted before, which underlines the novelty of the present work. After aging of the plastics, both the solid fraction and the leachate in the liquid phase were carefully examined. The parameters studied include mass loss, structural changes and alterations in functional groups observed in the aged plastics. Post-exposure assessment of the fragmented pieces includes quantification of the microplastic, microscopic observations and confirmation of composition by in situ Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy. The leachate analysis includes pH, conductivity, turbidity, total carbon and microplastic size distribution. The results highlight the importance of plastic waste morphology and the minor degradation of biobased PLA and show that microfibers contribute to increased fragmentation in all aquatic systems and leave a significant ecological footprint. This study underlines the crucial importance of post-consumer plastic waste management and provides valuable insights into strategies for environmental protection. It also addresses the pressing issue of plastic pollution and provides evidence-based measures to mitigate its environmental impact. Graphical abstract

Classification of international organizations and their role in the modern world

International organizations in the modern world play an important role in ensuring cooperation between states, developing global strategies and solving international problems. Classification of various international organizations into categories for the purpose of their systematic study is not based on a priori generally accepted criteria. Thus, none of the existing classifications of international organizations, even if they satisfy a significant part of differentiated research needs, can be considered as based on codified criteria. The relative typology of all international organizations entails their classification, sometimes based on criteria that serve the specific theoretical needs of a particular study. Although this is not the case here, it should be noted that the following distinctions of international organizations are mainly relevant to the study of the legal aspects of the phenomenon. International organizations can be classified according to various criteria, such as target orientation, structure, method of participation of states and others. One of the key criteria is functional orientation. Thus, there are political, economic, social, humanitarian and military organizations, each of which has its own specific tasks and functions. Some organizations are based on the principle of sovereignty, where each state has the right to make an independent decision on participation in the organization’s activities. In the light of globalization and the growing complexity ofinternationalrelations, understanding the classification of international organizations is becoming extremely important for solving global problems and ensuring peaceful coexistence in the international arena. Studying their functions, structures, and participation mechanisms helps countries and organizations to cooperate more effectively and solve important global issues. The role of international organizations in the modern world cannot be overestimated. They facilitate cooperation between states, resolve international conflicts, provide humanitarian aid, develop economies, and implement joint strategies for environmental protection. International organizations act as mediators and coordinators in solving major global problems, ensuring stability and progress in international relations.