Environmental Problems Research Articles

The Implementations and Strategies of Learning Based on Ecoliteracy in Boarding Schools in Reaching SDG for Classy Education

Objective: This research discusses strategies and implementation of ecoliteracy-based learning in Islamic boarding schools. It shows that ecoliteracy-based learning is needed to develop life skills that can be applied in social life. Theoretical Framework: Ecoliteracy is understanding and applying environmental knowledge and awareness in everyday life. Ecoliteracy learning includes the implications of ecological knowledge, socio-political knowledge, knowledge of environmental problems, cognitive abilities, and environmentally responsible behavior. Method: The method used in this research is qualitative with an exploratory descriptive design. Data was obtained using observation techniques, interviews, documentation studies, and focused group discussions. Results and Discussion: All schools where this research was conducted have implemented the Independent Curriculum, consisting of 61.1% at the independent learning level, 22.2% at the independent change level, and 16.7% at the independent sharing level. Research Implications: The implementation of ecoliteracy-based learning in Islamic boarding schools has been implemented by 1) providing reading materials with natural and environmental themes, 2) providing assignments to compose texts with environmental and natural themes, 3) using nature as a learning resource, 4) getting used to activities carried out in the context of building a character who cares about the environment through daily routine activities, such as class pickets, clean Friday activities, the habit of community service, recycling plastic waste into eco-bricks, 5) example from school principals and teachers, 6) motivation and an invitation from school principals and teachers to students to maintain and maintain a clean environment, 7) schools provide adequate infrastructure, such as trash cans, hand washing facilities, etc. Originality/Value: In implementing ecoliteracy-based learning, as many as 72.2% of teachers have provided ecology-oriented texts in their learning. Ecoliteracy learning can make a positive contribution to a sustainable life in an Islamic boarding school-based school environment to realize quality education. Ecoliterate learning is a strategy for realizing SDG quality education.

The Application of GIS Technology in Environmental Management in Ghana

This article traces the evolution of Geographic Information Systems (GIS) from the early days of cartography into contemporary time, within the context of environmental decision-making. The quantitative revolution influenced the development of cartography. In the 1970s computerized mapping and GIS automated cartography. The format and management of spatial data got transformed in the 1980s with the development of geo-query in GIS. In the 21st century GIS included social perspectives in managing GIS data bases. The technology was introduced into higher educational institutions of Ghana in the 1990s. Government departments recognized it to be an important tool for resolving spatial problems. Its potential for consensus building is yet to be fully exploited because the technology was considered to be complex. This was solved by shifting from generating GIS codes, to graphical interface and spatial model applications. From its initial focus of mapping and spatial database management, GIS now concentrates on varied degrees of complexity in modeling. Uses to which the technology has been put in Ghana include mapping the spatial distribution of Buruli Ulcer; using Digital Elevation Model (DEM) in geospatial and hydrological modeling to delineate drainage and watershed to predict flood prone areas in parts of Accra; and, in groundwater projects to select well sites for drilling bore holes. It was concluded that continued application of GIS in Ghana and other parts of the world could result in rare and timeless solutions being found to spatial and environmental problems that confront humanity.

Design of Power Economic Dispatch Method Integrating Differential Evolution and PSO

As energy demand continues to grow and environmental problems become increasingly serious, optimizing the economic dispatch of the power system is crucial to ensuring the sustainability and economic benefits of energy supply. To ensure the safe operation of the power system, reduce power generation costs as much as possible, and develop a method that can adapt to the needs of different power systems, the experiment combines the differential evolution algorithm with the power economic dispatch problem and proposes a method based on improved differential evolution. Electric power economic dispatch method with particle swarm optimization algorithm. The experiment first introduces a moderate interference strategy to appropriately adjust the position of the particles; then combines the local mutation strategy to enhance the searchability of the differential evolution algorithm in the solution space and achieve good economic dispatch. The results show that when running on the F11 test set and F21 test set, when the system iterates to the 26th and 32nd times respectively, the loss function of the method constructed in the experiment begins to have a minimum value and remains stable thereafter. In addition, on the F11 test set, when the number of iterations is 150, this method has a minimum time of 0.153s. While running the loop for the first time on System 1, the total cost of this approach was only $1.01× 104. Through the actual operation of power generation equipment, under the operation of this method, the power system can ensure optimal operating power of each power generation equipment unit based on ensuring optimal cost. It can be seen from the above results that this method provides power system operators and decision-makers with a new tool to help them maximize cost-effectiveness while ensuring system stability and meeting power demand. In addition, the method's superior convergence and stability can effectively improve the solution's accuracy and speed and has strong practicality and promotion value.

Research of Electrical Characteristics of Elements of Solar Power Plants

The article presents the results of studies of the features of solar power plants. A full description of installation and dismantling in rural conditions is given. The set of features of renewable energy sources, as well as ways to solve environmental and economic problems, is analyzed. The results of the study show that Central Asia has great potential for the development of "green energy". This will create new jobs and improve the environmental situation in the region.

Implementation of sustainability in human resource management: A literature review

Orientation: Truly, organisations face the challenge of implementing sustainability in their daily activities.Research purpose: This article examines the ways in which sustainability has been implemented in human resource management (HRM).Motivation for the study: Sustainability has become increasingly important in organisations, particularly regarding HRM.Research approach/design and method: This study used qualitative methodology and collected data by means of an integrative literature review that retrieved appropriate and relevant journal articles from the Business Source Ultimate database, as one of the EBSCOhost databases.Main findings: The findings suggest that green human resource management (GHRM) was the most frequently implemented concept and was combined with rare cases of corporate social responsibility (CSR) implementation. Sustainable human resource management (SHRM) was seldom implemented.Practical/managerial implications: Interestingly, contemporary studies revealed the circular economy (CE) as an economic sustainability dimension in HRM, and likewise, the ascendance of sustainable development goals (SDGs) in HRM. Regarding the process of sustainability implementation in HRM, some links have been established between sustainability dimensions and HRM, but the incorporation of sustainability into HRM was not evident from the reviewed literature.Contribution/value-add: This article ends with a discussion of some insights for future research. Moreover, the selection of sustainability and HRM in this article was significant given that sustainability can contribute towards a way of addressing and solving environmental, social and economic problems associated with organisations’ activities that could be fixed by HR. This demonstrates the existing strong compatibility between sustainability and HRM because HRM could fit in each sustainability dimension.

Study of Environmental Problems after the Completion of Underground Coal Mining on the Western Slopes of the Middle Urals

Study results of disturbed lands ecological state in the course of underground coal mining in the coal-saturated areas of the Kizelovsky Coal Basin in the Perm Krai are presented. Types and areas of technogenic landscape objects formed in the course of coal industry enterprises activity are revealed. The complex of works on acceleration of the ecological balance restoration on the territory subjected to long-term technogenic impact of coal mining enterprises is offered.

Determination of Desalinated Sea Water Usage Possibilities in Muscari armeniacum (Grape Hyacinth) Cultivation

In the current period of time, many environmental problems have occurred in the world with the population increase, industrialization and construction, along with migration from rural areas to urban areas. Among the environmental problems that occur due to all these developments; the decrease in potable and usable freshwater resources, global warming, climate change and drought are the leading environmental problems. This study was carried out in the open field of a private apartment building in Izmir, Turkey to determine the possibility of using desalinated seawater in the cultivation of Muscari armeniacum Leichtlin ex Baker. Depending on the purpose of the study, Muscari armeniacum Leichtlin ex Baker was grown using desalinated seawater and tap water (control). To determine the effect of desalinated seawater on plant growth, leaf length, leaf width, root length, underground part weight, number of bulblets and upper part weight were measured. It was observed that Muscari armeniacum Leichtlin ex Baker plants showed normal growth when desalinated seawater was used throughout the experiment. According to the statistical analysis, the difference between desalinated sea water and tap water was significant only in leaf length and leaf width parameters. While the average leaf length was 54.47 cm and leaf width were 5.71 mm in tap water (control), the average leaf length was 53.47 cm and leaf width were 5.19 mm in desalinated sea water treatment. The effect of irrigation water sources on other parameters was statistically insignificant. As a result of the study, desalinated seawater can be used for the cultivation of Muscari armeniacum Leichtlin ex Baker. It is recommended that studies evaluating the possibilities of using desalinated sea water in the cultivation of different ornamental plant species will contribute to the literature.

Addressing the Uncertainties in the Environmental Analysis, Modeling, Source and Risk Assessment of Emerging Contaminants

Emerging contaminants (ECs) have become a growing source of worry for environmental researchers and stakeholders in recent decades. Compared with conventional pollutants, ECs can pose environmental risks even at a trace level. The analysis of ECs is typically significantly more challenging than that of conventional pollutants because of their trace amounts and diverse chemical structures. For sound environmental management, it is necessary to perform a comprehensive study of these pollutants. Global concern has increasingly grown over the occurrence, fate, environmental modeling, and risk assessment of such contaminants. Due to the dearth of knowledge in this area, various unc3ertainties inevitably exist in the investigation of ECs. Environmental problems cannot be precisely understood due to the ubiquitous uncertainties in environmental research. Uncertainties and their sources have been reviewed in this study, including spatial and temporal variability, uncertainty in sample collection and analysis, uncertainty in environmental modeling, uncertainty in risk assessment, and uncertainty in source characterization. Some suggestions to reduce uncertainties are summarized. An awareness of uncertainty is necessary for us to have a more accurate understanding and contribute to sound environmental decision-making and management. In addition, more work remains to be performed to reveal the uncertainties in the analysis and risk assessment of ECs.

PROBLEMS OF ENVIRONMENTAL SECURITY AND WATER SUPPLY NEEDS IN THE CENTRAL ASIAN REGION

he last decade in the Central Asian region has been characterized by a steady trend of increasing fresh water needs due to the expansion of agricultural activities and the growth of population consumption. At the same time, the growth of consumption is ensured exclusively by increasing the anthropogenic load on available water resources, which causes a multiple increase in the risks of environmental disasters and problems with water supply and ensuring water security of the countries of the region. The article uses the method of complex assessment (balance method) of assessing the level of water resources availability in the context of countries, content analysis of regulation of water use of transboundary rivers, factor analysis of the growth of regulation of water flows of the main rivers (Amu Darya and Syr Darya basins, hereinafter abbreviated as BAM) and project analysis of the growth of anthropogenic pressure on the resource base of the region. The study notes that the uncoordinated use of water resources for national development and projects to overcome the environmental problems of shallowing of the Aral Sea only lead to an aggravation of the situation. The conclusions are based on the assessment of projects and strategies for overcoming the environmental catastrophe of the Aral Sea and the construction of new artificial water drainage infrastructure in the countries of the lower reaches of transboundary rivers.

Solution for Environmentally Friendly Silver Surface Magnetron Sputtering Color Titanium Film Layer Technology

Silver is an elegant white precious metal, but it is easily oxidized by O3, SO2, and H2S in the air, turning yellow or dark, which affects its decorative effect. The existing silver coating, primarily prepared through the electroplating process, poses serious environmental pollution problems. It is necessary to seek new, green, and environmentally friendly coating processes while also enhancing the color palette of silver jewelry coatings. Titanium film layers were deposited on Ag925 and Ag999 surfaces using magnetron sputtering coating technology. The effects of sputtering time, substrate surface state, reaction gas type and time, and film thickness on the color of the film layers were studied, and the anti discoloration performance of the obtained film layers under the optimal process was tested. The experimental results show that when the sputtering time varies from 5 to 10 minutes, injecting argon, oxygen, and nitrogen into the coating chamber yields rich colors such as purple with a red tint, blue, yellow green, yellowish purple, and blue purple. The precise control of gas injection time has a significant impact on the color of the film layer. In terms of anti tarnish performance, the film showed good stability in the artificial sweat immersion test. From an environmental perspective, the magnetron sputtering titanium film process has no harmful gas or liquid emissions, which aligns with the sustainable development trend of the jewelry industry and holds great promise for application. This study has improved the visual effect and practical performance of the product, providing important theoretical basis and experimental data support for the application of environmentally friendly silver surface vacuum magnetron sputtering titanium thin film coating technology.

Exploring the Human Face of Engaged Environmental Strategies: The Role of Chief Executive Officer and Human Capital in Peruvian Firms

ABSTRACTIn emerging economies characterized by the absence of strong national regulatory institutional forces, the role of private initiative through companies and entrepreneurs is highly relevant and has a prominent role in addressing environmental problems. This work aims to improve the understanding of the role of two key human‐based organizational factors, such as CEO environmental commitment and green human capital (GHC), on the effective implementation of corporate environmental strategies seeking to integrate and engage market and non‐market stakeholders. Our empirical research was carried out in a sample of 86 Peruvian firms operating in different industries through in‐depth interviews and questionnaires. Our results show the importance of CEO environmental commitment on the implementation of engaged environmental strategies, as well as the mediating and essential role of GHC in this relationship. We contribute to the literature debate by providing theory and empirical insights on the drivers of corporate environmentalism in developing countries, highlighting the importance of the human‐based internal organizational factors as driving forces of corporate environmentalism.

Novel Approaches to Decomposing Hydrocarbon Pollutants from the Environment

In the modern era, petrochemical industries' production of hydrocarbon pollution is a significant environmental problem that causes biodiversity loss. Alkanes constitute a substantial proportion of crude oil, and refined fuels are found in small amounts in various uncontaminated environments. They are prevalent in underground fossil fuel reserves and shallow subsurface habitats polluted with hydrocarbons, such as aquifers. Using microorganisms to break down alkane hydrocarbon pollutants in environmental areas has great potential. Considerable advancements have been achieved in identifying microorganisms and metabolic processes responsible for the breakdown of alkanes in both oxygen-free and oxygen-rich conditions in the last two decades. A wide range of prokaryotic and eukaryotic organisms have been identified and observed to possess the ability to utilize various carbon and energy sources as substrates. Bioremediation is essential for environmental safety and management; various methods have been established for petroleum hydrocarbon bioremediation. Numerous microbial species have been employed to investigate the bioremediation of petroleum hydrocarbons, highlighting the crucial functions of varied microbial communities. Phytoremediation is an environmentally sustainable method that may effectively rehabilitate heavy metal- contaminated soil cost-efficiently. This manuscript provides an overview of prevalent alkane hydrocarbon pollutants, microorganisms capable of degrading hydrocarbons, key pathways and enzymes involved in hydrocarbon degradation, factors influencing hydrocarbon degradation, and various strategies employed to harness the degrading capabilities of microbes for remedial purposes.

Comparison of Perceived Achievement of Complex Thinking Competency Among American, European, and Asian University Students

Despite the growing focus of educational institutions on students’ practical abilities beyond theoretical knowledge, the perception that students have of their competencies is crucial for their effective application in professional contexts. Accordingly, this paper reports a study of 435 university students attending ten universities in eight countries in the Americas (Chile, Colombia, Mexico), Asia (Pakistan and the Philippines), and Europe (Spain, Finland, and Serbia). The goal was to measure their perceptions of their achievement of complex thinking competency and its sub-competencies. The intention was to identify how cultural, educational, and socioeconomic differences among countries account for the variances in the students’ self-assessment of competencies, impacting their professional preparedness. The study focused on the competency of complex thinking, considering its critical importance in solving current environmental problems. The analysis employed the non-parametric Brown–Forsythe statistical test and Bonferroni correction, given the non-normality and heteroscedasticity of the data. It was found that (i) there is no statistically significant difference by gender; (ii) there are statistically significant differences in all types of thinking per country, geographical area (continent), and Human Development Index (HDI).

A Case-Control Study of the Association Between GSTP1 Gene Polymorphisms (rs1695 and rs1138272) and the Susceptibility to Male Infertility in the Moroccan Population.

Background: Infertility affects 10-15% of couples worldwide, with male factors accounting for half of cases. Environmental, behavioral, and genetic problems contribute to spermatogenic failure in 30% of idiopathic male infertility cases. Other factors, such as oxidative stress (OS), cause impaired spermatogenesis, abnormal sperm morphology, and reduced motility, eventually triggering male infertility. In the male reproductive tract, glutathione S-transferase (GST) family antioxidants are essential for preventing OS, detoxification, and DNA damage protection. Methods: GSTP1 isoenzyme, one of GST members, has previously been linked to male infertility, and this case-control study is the first to assess the possible association of GSTP1 gene polymorphisms (rs1695 and rs1138272) with nonobstructive azoospermia and severe oligospermia within 300 patients and 300 controls from the Moroccan population using an allele-specific PCR. The statistical analysis was performed with the R programming language. Results: Genotyping of GSTP1 polymorphisms fitted the Hardy-Weinberg equilibrium in both cases and controls (p > 0.05), but no significant association was found in rs1695 (odds ratio [OR] = 1.238, 95% confidence interval [CI] = 0.855 to 1.794, p = 0.258, power = 0.204) and in rs1138272 (OR = 1.192, 95% CI = 0.852 to 0.1668, p = 0.304, power = 0.176). Likewise, results from haplotype analysis (OR = 1.25, 95% CI = 0.61 to 2.57, p = 0.537) and SNP-SNP interactions (OR = 1.522, 95% CI = 0.838 to 2.762, p = 0.166) demonstrated no correlation with the risk of male infertility. Conclusion: The two SNPs (rs1695 and rs1138272) of the GSTP1 gene loci are not associated with male infertility susceptibility in Moroccan subjects. Yet, future investigations with a larger sample size may conclusively help to confirm this association.

Healthy and Active Lifestyles Are Not Always Environmentally Sustainable: A Dietary Water Footprint Analysis in Mexico

The environmental impact of unhealthy diets and the obese population is becoming clearer. However, little is known about the impact of ‘healthy’ diets related to ‘fitness’ lifestyles, such as diets directed to gain muscle mass and lose body fat, or the diets of the physically active population. This paper aims to evaluate the Dietary Water Footprint (DWF) of a representative sample of the Guadalajara Metropolitan Area, Mexico, identifying differences according to body composition (levels of fat and muscle) and physical activity (type and intensity), with a focus on contrasting active, healthy lifestyles (i.e., fitness) with sedentary and obesogenic patterns and examining protein consumption. A validated and adapted Food Frequency Questionnaire (FFQ) was applied to 400 adults (18–74 years) from the Guadalajara Metropolitan Area. The participants were grouped according to their body fat and muscle mass levels and physical activity type and intensity. DWF, food and nutrient intake, and adequacy were calculated. The DWF of the sample with a low body fat, a high muscle mass, moderate to intense exercise, and anaerobic exercise (i.e., ‘fitness’ lifestyle) was up to 800 L per person per day (L/p/d) higher than the sedentary/obese populations. Risks of a high DWF were found as protein intake increases (OR = 6; p < 0.0001). Although unhealthy diets linked to obesity are a major environmental problem, ‘fitness’ lifestyles can have serious environmental implications.

Risk Assessment in Mass Housing Projects Using the Integrated Method of Fuzzy Shannon Entropy and Fuzzy EDAS

Mass building projects play a key role in the economic prosperity of any country. Furthermore, these projects are among the main drivers of environmental and social problems. In recent years, with the spread of the concept of sustainable development in the life cycle of construction projects and the dynamic and eventful nature of these projects, the issue of risk management in the sustainable construction industry has received more and more attention among researchers. The construction industry, like other industries, faces various risks. Therefore, it is crucial to identify and evaluate risks in mass construction projects due to the high volume of work. In this study, an integrated model based on fuzzy Shannon entropy and fuzzy EDAS is proposed for risk assessment in large-scale building projects. Initially, by reviewing related articles, 66 effective sub-indicators are identified and classified into 18 risk categories, including 6 external risks and 12 internal risks. Subsequently, a questionnaire is designed to assess the three factors of detection, probability of occurrence, and severity risks for each risk index. This questionnaire distributes to 15 mass production companies in the construction field in Isfahan. The fuzzy Shannon entropy method is then applied to determine the weight of risk factors. The weights of each factor, detection, probability of occurrence, and severity, are calculated as 0.386, 0.342, and 0.273, respectively. These weights are used in the fuzzy EDAS method to prioritize the identified risks in mass-building projects. The results of the fuzzy EDAS method determined the three most critical risks: “inflation rate volatility”, “import/export restrictions”, and “unforeseen climatic conditions”. Additionally, three low-risk sub-indicators are obtained: “limitation on working hours”, “collapse of the structure”, and “unpredictable fire”.

We are a family! Exploring flexitarian households' meat reduction practices.

It is widely accepted that the (over)consumption of meat is negatively linked to environmental problems and public health issues, yet research shows that actual meat consumption remains (too) high. While most research related to the protein transition focuses on consumers' motivations, perceptions and acceptance towards plant-based meat alternatives, a clear need arises to extensively study the context in which (plant-based) meals are consumed. In this research, a generative research approach was applied to extend knowledge on flexitarian households' meat reduction practices. Participants (n=30) from different household types completed assignments with their household members to reflect on their households' meat consumption and reduction practices over the course of a full week. After this sensitizing week, participants were interviewed about their meat reduction practices. Results show that participants high in cooking skills and interest are searching for, or have developed, a practice of reformulating their meals into 'complete' or 'authentic' vegetarian meals which entails a different culinary experience compared to meat-based meals. They usually avoided meat analogues, and used products such as pulses, cheeses, nuts and herbs to create tasty and satiating 'complete' vegetarian meals. However, participants with less available resources like time and skills used meat analogues as convenient replacers of meat. Partners and children had a strong influence on the households' formation of meat reduction practices, as their preferences resulted in compromises regarding the households' meat consumption frequency and types of meals consumed. In conclusion, this research provides unique insights into flexitarian households' meat reduction practices, and fuels the discussion on the role of meat analogues and the consumers' need for 'complete' and 'authentic' vegetarian meal experiences.

Genomic analysis and potential polyhydroxybutyrate (PHB) production from Bacillus strains isolated from extreme environments in Mexico

BackgroundPlastic pollution is a significant environmental problem caused by its high resistance to degradation. One potential solution is polyhydroxybutyrate (PHB), a microbial biodegradable polymer. Mexico has great uncovered microbial diversity with high potential for biotechnological applications. The best polymer producers tend to be isolated from environments that require survival adaptations from microorganisms, the high-producing Bacillus cereus strain saba.zh comes from refinery wastewater, the costs of production have been a limiting factor for biopolymer production, and one of the focuses of interest has been finding novel strains with better production or singular traits that help in industrial processes.ResultsThe isolates were taxonomically classified as Bacillus cereus MSF4 and Bacillus inaquosorum MSD1 from Mina, Nuevo Leon; B. cereus S07C; and Paenibacillis dendritiformis from the active volcano “El Chichonal” on Chiapas. The strains had growth temperatures ranging from 35 to 50 °C and pH tolerance values ranging from 3 to 9. The best PHB-producing strain, B. cereus MSF4, produced 0.43 g/kg PHB on orange peels, followed by B. inaquosorum MSD1 at 0.40 g/kg, B. cereus S07C at 0.23 g/kg and P. dendritiformis at 0.26 g/kg.ConclusionsThe findings of this study affirm the potential of the Mexican isolated strains as PHB-producing organisms, enabling further studies to test their viability as industrial producers. The ability of P. dendritiformis and B. inaquosorum to synthetize PHB was also confirmed by the observations made providing novel evidence to consider these species as potential producers.

Deep regularization techniques for improving robustness in noisy record linkage task

Linking records is essential in data integration, healthcare analysis, fraud detection, and other applications where matching across datasets is needed. But actual data is usually noisy (lost values, typos, inconsistent formatting), and these factors greatly sour the performance of deterministic and probabilistic approaches. In this paper, we introduce a deep learning model and high-level regularizations (dropout, weight decay, early stopping) to enhance robustness for noisy record linkage. We test the approaches by using open data, that are simulated scenarios of real world with different levels of noise. Data augmentation generates fake noise (realistic input errors). Results reveal that regularization techniques improve the models performance under noisy environments with up to 20% better accuracy and recall than unregularized models. Dropout specifically tended to generalise better by limiting overfitting to noise. These results reveal the potential of deep learning and regularization to address record linkage problems in noisy environments, and suggest future work on additional techniques including adversarial training and batch normalization.

Environmental impact of lead in soybeans (Glycine max L.) marketed in the canton of Quevedo, Ecuador

The bioaccumulation of lead in soybean crops, originating in contaminated soils, represents a significant environmental problem and a risk to public health due to the inherent toxic metal. The objective of this study was to evaluate the environmental impact of lead in samples of soybeans (Glycine max L.) marketed in the canton of Quevedo, Ecuador. Grain samples were collected randomly, in triplicate, from four local markets during a period of [indicate period] and a control sample from a non-contaminated cultivation area. The samples were subjected to a preparation process that included drying, grinding, acid digestion with concentrated HNO₃ and HCl, and dilution. Lead determination was carried out by electrothermal atomization atomic absorption spectrometry (GFAAS). The calculation of the lead contamination index was performed using a standardized equation, contrasting the results obtained with the maximum allowable limits established by national (NTE INEN 452:2013) and international (Codex Alimentarius, European Union) regulations. The results evidenced an average concentration of lead in the soybean samples of 1.15 ± 0.13 mg.kg-1, significantly exceeding the maximum allowable limits. The calculated contamination index indicated a high level of contamination in the analyzed grains, which represents a risk to both the ecosystem and human health when consumed. These findings underscore the need to implement environmental and food management strategies to reduce lead contamination in soybean crops, thus ensuring food safety and public health protection.