Environmental Management Strategies Research Articles

Spatial and Temporal Patterns of Trace Element Deposition in Urban Thessaloniki: A Syntrichia Moss Biomonitoring Study

Urban air pollution, especially from heavy metal (HM) contamination, poses significant risks to human health and environmental sustainability. This study investigates the spatial and temporal distribution of HM contamination in Thessaloniki, Greece, using Syntrichia moss as a bioindicator to inform urban environmental management strategies. Moss samples were collected from 16 locations representing diverse urban activity zones (motorway, industrial, city center, airport) in March, May, and July 2024. The concentrations of 12 HMs (Al, Sb, As, Ba, Cd, Cr, Co, Cu, Pb, Ni, V, and Zn) were analyzed using ICP-MS, and the contamination factors were calculated relative to controlled moss samples. The results revealed significant spatial variation, with elevated levels of As, Cd, Cr, Pb, and Zn, particularly in high-traffic and industrial zones, exceeding the background levels by up to severe and extreme contamination categories. Temporal trends showed decreases in Al, Ba, and Ni from March to July 2024, while Cr and Cu increased, suggesting seasonally varying sources. Multivariate analyses further distinguished the contamination patterns, implicating traffic and industrial activities as key contributors. Syntrichia effectively captures HM contamination variability, demonstrating its value as a cost-effective bioindicator. These findings provide critical data that can guide urban planners in developing targeted pollution mitigation strategies, ensuring compliance with the European Green Deal’s Zero Pollution Action Plan.

The role of mosses in 'clean and green' phytoremediation technology: a review paper.

Phytoremediation, the practice of removing heavy metals from contaminated sites using plants, has emerged as a cost-effective, environmentally friendly green technology to restore damaged ecosystems. Mosses, in particular, demonstrate high phytoremediation potential due to their ability to accumulate heavy metals such as lead, zinc, copper, chromium, cadmium, and iron from contaminated soil and water. This review systematically examines 37 research articles published from 2000 to 2022, focusing on the on the use of mosses for phytoremediation. Moss species, such as Funaria hygrometrica Hedw, Scopelophila cataractae (Mitten) Brotherus, Dicranum scoparium Hedw, Dicranum polysetum Sw. ex anon, Hypnum cupressiforme Hedw, Physcomitrium cyathicarpum Mitt, Barbula constricta Mitt, and Leptodictyum riparium (Hedw.) Warnst. have been identified as ideal candidates for phytoremediation efforts. Specific species of mosses, such as Dicranum species, are noted for their excellent bioaccumulation capabilities of elements like vanadium, manganese, and rubidium, serving as indicators of air pollution. Additionally, Hypnum cupressiforme has proven to be a reliable indicator of sulfur dioxide in natural and anthropogenic sources. This comprehensive review highlights the significant phytoremediation potential of mosses, emphasizing their role as valuable bioaccumulators and indicators of heavy metals and pollutants. The findings highlight the necessity of further research to enhance the application of mosses in environmental management and remediation strategies, ultimately contributing to the development of sustainable and effective solutions for pollution control.

Tackling soil erosion and contamination within the SDGs framework: a case study of the Erdenet copper-molybdenum mine

AbstractMining operations in Mongolia have contributed significantly to national economic growth. However, the lack of adequate mine land rehabilitation practices has resulted in various forms of land degradation, including land cover change, soil erosion and contamination with heavy metals and metalloids. These issues have negatively affected ecosystems and posed potential risks to human health due to the interconnected relationships between land, water and human activities. This study focuses on the copper-molybdenum mining site of Erdenet, the oldest and one of the largest copper mines in Mongolia, to investigate the main drivers of soil degradation and evaluate effective rehabilitation strategies. By combining findings from our previous studies on soil erosion and contamination in the Erdenet area with a review of existing research, we assess key rehabilitation priorities. Taking a Nexus approach, this study explores the interconnections between environmental, economic and social sectors, emphasizing the importance of balancing mining activities with sustainable land management. The previous studies suggest that for the next 10–15 years, priorities should focus on tailings storage facility rehabilitation and soil contamination remediation, while longer-term goals include developing sustainable environmental management strategies that foster cooperation between mining corporations and local communities, enforce regulations and improve monitoring in the Erdenet mining area. The study aligns these priorities with the Sustainable Development Goals, offering science-based recommendations for managing soil erosion and reducing contamination.

The Effect Characterization of Lens on LNAPL Migration Based on High-Density Resistivity Imaging Technique

Light non-aqueous phase liquids (LNAPLs), which include various petroleum products, are a significant source of groundwater contamination globally. Once introduced into the subsurface, these contaminants tend to accumulate in the vadose zone, causing chronic soil and water pollution. The vadose zone often contains lens-shaped bodies with diverse properties that can significantly influence the migration and distribution of LNAPLs. Understanding the interaction between LNAPLs and these lens-shaped bodies is crucial for developing effective environmental management and remediation strategies. Prior research has primarily focused on LNAPL behavior in homogeneous media, with less emphasis on the impact of heterogeneous conditions introduced by lens-shaped bodies. To investigate the impact of lens-shaped structures on the migration of LNAPLs and to assess the specific effects of different types of lens-shaped structures on the distribution characteristics of LNAPL migration, this study simulates the LNAPL leakage process using an indoor two-dimensional sandbox. Three distinct test groups were conducted: one with no lens-shaped aquifer, one with a low-permeability lens, and one with a high-permeability lens. This study employs a combination of oil front curve mapping and high-density resistivity imaging techniques to systematically evaluate how the presence of lens-shaped structures affects the migration behavior, distribution patterns, and corresponding resistivity anomalies of LNAPLs. The results indicate that the migration rate and distribution characteristics of LNAPLs are influenced by the presence of a lens in the gas band of the envelope. The maximum vertical migration distances of the LNAPL are as follows: high-permeability lens (45 cm), no lens-shaped aquifer (40 cm), and low-permeability lens (35 cm). Horizontally, the maximum migration distances of the LNAPL to the upper part of the lens body decreases in the order of low-permeability lens, high-permeability lens, and no lens-shaped aquifer. The low-permeability lens impedes the vertical migration of the LNAPL, significantly affecting its migration path. It creates a flow around effect, hindering the downward migration of the LNAPL. In contrast, the high-permeability lens has a weaker retention effect and creates preferential flow paths, promoting the downward migration of the LNAPL. Under conditions with no lens-shaped aquifer and a high-permeability lens, the region of positive resistivity change rate is symmetrical around the axis where the injection point is located. Future research should explore the impact of various LNAPL types, lens geometries, and water table fluctuations on migration patterns. Incorporating numerical simulations could provide deeper insights into the mechanisms controlling LNAPL migration in heterogeneous subsurface environments.

Arsenic Enhances the Degradation of Middle-Chain Petroleum Hydrocarbons by Rhodococcus sp. 2021 Under Their Combined Pollution

The efficient and green remediation of petroleum hydrocarbon (PH) contamination has emerged as a viable strategy for environmental management. Here, we investigated the interaction between arsenic and PH degradation by Rhodococcus sp. 2021 under their combined pollution. The strain exhibited disparate responses to varying concentrations and valences of arsenic. The elevated concentration of arsenic (>100 mg/L) facilitated the degradation of PHs, and there was a positive correlation between arsenic-promoted degradation of PHs and their carbon-chain length. The degradation of PHs changed with arsenic conditions as follows: trivalent arsenic groups > pentavalent arsenic groups > arsenic-free groups (control). Arsenite and arsenate significantly promoted the gene expression of arsenic metabolism and alkane degrading. But unlike arsenite, arsenate also significantly promoted the gene expression of phosphate metabolism. And arsenite promoted the up-regulation of the expression of genes involved in the process of PHs oxidation and fatty acid oxidation. These results highlight the potential of Rhodococcus sp. 2021 in the remediation of combined total petroleum hydrocarbon (TPH) and heavy metal pollution, providing new insights into the green and sustainable bioremediation of combined pollution of organic matters such as PHs and heavy metals/heavy metal-like elements such as arsenic.

Air pollution under formal institutions: The role of distrust environment

Formal trust is an important formal institution that may significantly impact the environment. This study uses regional distrust environment as a reverse proxy variable for formal trust and studies the impact of formal trust on corporate sulfur dioxide emissions. This study finds that the environment of distrust significantly increases the sulfur dioxide emission levels of enterprises, which means that formal trust affects the environmental management strategies of enterprises. This study also finds that some other formal institutional factors, which include marketization, the development of intermediate organizations, the legal system environment, and GDP levels, have moderating effects on the impact of distrust environment on corporate sulfur dioxide emissions. In addition, climatic conditions including temperature, humidity, and precedence, as well as the location of the enterprise, have certain moderation effects. Mechanism analysis indicates that distrust environment affects corporate sulfur dioxide emissions through the increase in coal sulfur content in enterprise production, the decrease in exhaust gas processing capacity, the reduction in financing capacity, and the decline in social and environmental responsibilities. Finally, this study finds through further analysis that the local government appears to have noticed this negative impact, and the regions with a distrust environment tend to increase their environmental regulation intensity.

Anthropogenic Lead (Pb) deposition history of the western Indian Ocean from coral-based Pb/Ca ratio and Pb isotope records

Despite the rapid industrial growth and urban expansion along the coastline of the Western Indian Ocean, knowledge of both historical and current levels of anthropogenic lead (Pb) contamination, as well as its impact on the biosphere, remains limited compared to other industrialized regions. We present a twenty-four year long coralline record (1989–2013) of Pb/Ca ratio and Pb isotopes from the Lakshadweep coral reef in the Western Indian Ocean. This new record provides critical insight into source(s), possible transport pathways, and temporal trends in Pb deposition during the studied interval. The long-term trend in the surface seawater Pb concentration ([Pb]SW), reconstructed from the coralline Pb/Ca record, reveals almost doubling in [Pb]SW from ~50 pmol/kg in the year 1990 to ~107 pmol/kg in the year 2013. Bayesian mixing model calculations reveal that among the potential Pb polluting sources to this region, anthropogenic aerosol from the hinterland of the continents was the dominant contributor of Pb (23–89 %). A compilation of available Pb records from the Indian Ocean reveals that Pb isotope distribution patterns in the western and central equatorial Indian Oceans are distinctly different from those observed in the eastern Indian Ocean. The western Indian Ocean records exhibit lower Pb isotope ratios (206Pb/207Pb and 208Pb/207Pb) compared to the East Indian Ocean, suggesting a greater influence of anthropogenic Pb on seawater concentration. These findings highlight the spatio-temporally spread of anthropogenic Pb pollution and its potential impact on the biosphere in the Indian Ocean and therefore emphasize the urgent need for region-specific environmental management strategies. Plain language summaryThis study reconstructs the history of lead (Pb) pollution in the Western Indian Ocean. We analyzed a specimen of coral, collected from Lakshadweep, to create a 24-year-long (years 1989 to 2013) for Pb concentration and isotopic composition of seawater in the Western Indian Ocean. Using the coralline Pb/Ca ratio and Pb isotope data, we have reconstructed surface ocean Pb concentration ([PbSW]) and isotopic composition to understand the sources, transport pathways, and temporal depositional trends over the western Indian Ocean during the past two decades. This reconstruction of [PbSW] reveals a doubling from ~50 pmol/kg in the year 1990 to ~107 pmol/kg in the year 2013. Our investigations to fingerprint the Pb source(s) to our study area reveal that majority of the anthropogenic Pb has been contributed by aerosol deposition sourced from the hinterland of the surrounding continents. Our investigation also revealed that the western Indian Ocean is more contaminated by anthropogenic Pb compared to the eastern Indian Ocean. These findings highlight the need for region-specific monitoring efforts in the Indian Ocean as well as the formulation of environmental strategies to mitigate the impact of Pb pollution.

Retrieve water quality parameters of urban rivers from hyperspectral images through feature interaction based two-stage method fused with spectral unmixing and spatial relatedness

Monitoring water quality through efficient quantification of water quality parameters (WQPs) is of paramount importance to environmental management of urban rivers. Unmanned aerial vehicle (UAV) remote sensing techniques posed a great opportunity for visualizing spatial distributions of WQPs concentrations with higher flexibility and monitoring frequency compared to satellite remote sensing techniques, assisting to trace potential contamination sources and prevent water quality from degradation. However, current methods of water quality monitoring usually involved large masses of water samples as training data to keep calculation accuracy every time their study area changed, increasing financial cost and incurring time delay in monitoring and evaluating water quality. This study proposed a UAV-based two-stage multidirectional fusion with probabilistic matrix factorization (TSMF-PMF) method in unified framework, to effectively quantify WQPs including chemical oxygen demand (COD), biochemical oxygen demand (BOD), and turbidity from UAV hyperspectral images. TSMF-PMF established feature interaction and outlier feedback module, ensuring relatively high calculation stability with less training samples. The experimental results showed that TSMF-PMF achieved good performance on predicting concentrations of WQPs with coefficient of determination (R2) and mean absolute percentage error (MAPE) ranging from 0.82 to 0.91 and from 5.35 % to 10.23 %. This study established theoretical and technical foundation to optimize environmental management scheme of urban rivers and provided an application demonstration.

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.

Advanced machine learning schemes for prediction CO2 flux based experimental approach in underground coal fire areas

IntroductionUnderground coal fires pose significant environmental and health risks due to releasing CO2 emissions. Predicting surface CO2 flux accurately in underground coal fire areas is crucial for understanding the distribution of spontaneous combustion zones and developing effective mitigation strategies. In recent years, advanced machine learning techniques have shown promise in various carbon-related studies. This research uses an experimental approach to explore the power of advanced machine learning schemes for predicting CO2 flux in underground coal fire areas. ObjectivesBy leveraging the power of advanced machine learning schemes and experimental approaches, this research aims to provide valuable insights into CO2 flux prediction in coal fire areas and inform environmental monitoring and management strategies. MethodsThe study involves the collection of an experimental dataset specific to underground coal fire areas, encompassing various parameters related to CO2 flux and underground coal fire characteristics. Innovative feature engineering techniques are applied to capture the unique characteristics of underground coal fire areas and their impact on CO2 flux. Different machine learning algorithms, including Natural gradient boosting regression (NGRB), Extreme gradient boosting (XGboost), Light gradient boosting (LGRB), and random forest (RF), are evaluated and compared for their predictive capabilities. The models are trained, optimized, and assessed using appropriate performance metrics. ResultsThe NGRB model yields the best predictive performances with R2 of 0.967 and MAE of 0.234. The novel contributions of this study include the development of accurate prediction models tailored to underground coal fire areas, shedding light on the underlying factors driving CO2 flux. The findings have practical implications for delineating the spontaneous combustion zone and mitigating CO2 emissions from underground coal fires, contributing to global efforts in combating climate change.

Microplastics and their interaction with microorganisms in Bosten Lake water

Microplastic pollution in inland freshwater lakes, formed from melting ice, atmospheric precipitation, and groundwater, remains under-researched. This study examines microplastic (MPS) presence and distribution in Bosten Lake and their interaction with microorganisms. We employed a Confocal Raman spectrometer to identify MPS types and 16S rRNA high-throughput sequencing to analyze microbial diversity and composition. In May, the lake's average microplastic concentration was 108.20 particles per liter (PCS/L), decreasing to 21.67 PCS/L by October. Transparent and yellow fibrous microplastics, predominantly 0.2–0.5 mm in size, were most common. Key microplastics in May included PEEK (27%), PMMA (25%), and PET (9%), while October saw a prevalence of PET (35%), PS (13%), and PA (9%). Higher microplastic concentrations correlated with reduced microbial diversity. In May, the high microplastic concentration group (MH) showed increased Planctomycetota, while in October, Patescibacteria and Bacteroidota rose significantly in the high plastic group (OH), known for microplastic degradation. MH also had a higher abundance of Cryptomycota compared to OH. Functional analysis indicated that MH had more genes related to bisphenol, benzene, and chlorine compounds, whereas OH had genes linked to methane, nitrogen, and organic matter degradation. Microplastic concentrations peaked near the lake inlet and tourist areas, affecting microbial quantity, diversity, structure, and function. This research enhances our understanding of MPS distribution and environmental microbial shifts in similar settings, providing essential data for environmental management strategies at Bosten Lake.

Assessment of trace metal levels in water, sediment and fish tissue from Lake Small Abaya, Ethiopia

The environmental impact of trace metal contamination is a concern for Lake Small Abaya, Ethiopia, because of nearby agricultural and industrial activities. This study assessed the levels of trace metals (Pb, Zn, Cd, Cu, Fe, Mn, and Cr) in water, sediment, and fish samples, as well as the physicochemical parameters of the water. Samples were collected from five sites and analyzed via graphite furnace atomic absorption spectrometry (GFAAS). The mean concentrations in the water were Zn: 0.6971 mg/l, Fe: 0.5628 mg/l, Cu: 0.1168 mg/l, Mn: 0.2129 mg/l, Pb: 0.0057 mg/l, Cr: 0.0021 mg/l, and Cd: 0.0014 mg/l. In the sediments, the mean concentrations were as follows: Fe, 33.066 mg/kg; Zn, 18.263 mg/kg; Mn, 22.777 mg/kg; Cu, 7.5663 mg/kg; Pb, 0.0751 mg/kg; Cr, 0.0233 mg/kg; and Cd, 0.0183 mg/kg. The fish samples presented mean concentrations of Fe: 21.855 mg/kg, Zn: 12.686 mg/kg, Cu: 0.3185 mg/kg, Mn: 0.9181 mg/kg, Pb: 0.0089 mg/kg, Cd: 0.0075 mg/kg, and Cr: 0.0015 mg/kg. All the metal concentrations were generally below the World Health Organization (WHO) regulatory limits. The physicochemical parameters indicated slightly alkaline to neutral conditions, with electrical conductivity and total dissolved solids within acceptable ranges. These findings suggest that current agricultural and industrial activities do not significantly contribute to trace metal pollution. However, continued monitoring and pollution control measures are recommended to ensure the long-term health and sustainability of the lake. This study highlights the importance of effective environmental management strategies to safeguard this crucial aquatic resource.

Management of Carbon Emissions via a Nonzero-Sum Stochastic Differential Game

This study examines an environmental management strategy to effectively cap greenhouse gas (GHG) emissions in an electricity market. To do so, we model a stochastic impulse two-person, nonzero-sum game between a power plant, a representative of electricity production within a country whose primary aim is to maximize profits, and government who is motivated to minimize the social and environmental cost of pollution. We assume that the power plant’s competitive price is equal to the marginal cost whilst the government’s running cost is linear. When the uncontrolled output of GHG emissions evolves as a Geometric Brownian motion, we provide a more dynamic and robust depiction of the interplay between government and the energy sector. We provide solutions to the impulse control problem derived via the quasi-variational inequalities (QVIs). We then present a sufficiency criterion for the existence of a Nash equilibrium for the optimal policy. Ultimately, our use of short-run price competition characterized by strategic supplies for renewable and fossil resources and inclusion of endogenous constraints on production capacity provides a more robust model and an effective framework for the development of policy that allows governments to meet emissions targets whilst guaranteeing energy supply.

Environmental Management and Construction Waste Strategies in Malaysia: An Overview of Green Materials and Waste Management Challenge

This review provides an overview of Malaysia's environmental management practices, with a focus on construction waste management, to address the country's growing waste generation in the construction sector. The paper highlights key challenges Malaysia faces in implementing effective environmental practices and offers potential solutions to overcome these hurdles. Additionally, it examines the use of green materials, such as recycled concrete aggregate and bamboo, which have demonstrated significant potential in reducing resource consumption and carbon emissions. The challenges of adopting these materials are analyzed, along with a discussion of their advantages and limitations. Ultimately, the review underscores the importance of environmental management and the role of sustainable materials in transforming Malaysia’s construction industry, while calling for stronger regulatory frameworks and industry collaboration to address these challenges. The objective of this review is to provide insights into the current environmental management efforts in Malaysia and to explore the potential of green materials in mitigating environmental impacts.

The Adoption and Applications of Earth Observations and Allied Geoinformation Systems for Environmental Management in Ghana

Earth Observations (EOs) and allied technologies were initially adopted and applied to inform sustainable environmental resource management in Ghana. This paper examines the initial adoption of EOs in the early 1990s and subsequent applications. It highlights the transformative potentials of EO technologies in addressing critical environmental issues while also identifying barriers to their widespread adoption and options for optimal up-scaling. Literature review, in-depth interview, and personal experiences of the author were analyzed. The initial optimism bias generated may have masked the need for establishing the necessary sustainability arrangements. The adoption of EOs was driven by the need to generate data to inform natural and environmental resource management in the mid-1990s. Initially, EOs facilities were established in public organizations, including the Council for Scientific and Industrial Research (CSIR), Survey Department, and the University of Ghana. Since then, EOs have been applied in various sectors for research and environmental resource management. Granted, there have been successes. Yet, challenges undermine the optimization and scaling-up of actual benefits. These include the misconceived technocentric view of EOs, which is a restricted domain for the technically initiated and map-making tool. Others, such as unfavourable organizational processes, unsustainable funding, and limitations in research and applications, have adversely contributed to suboptimal outcomes. Suboptimal institutionalization of EOs into management decisions has constrained EOs infrastructure acquisition, maintenance and data procurement. To sustainably enhance EOs applications in resource management, research, and governance, a shift from present misconceptions for effective mainstreaming and a leveraging of EOs as integral parts of decision-making processes are prerequisites. Decision-makers and management personnel should be educated on the relevance of EOs’ functionalities to the core strategies of environmental management.

The Role of Local Government and Environmental Management in Managing Tidal Floods in Bintan Regency

Indonesia is highly vulnerable to natural disasters, with tidal floods being a significant concern in Bintan Regency due to its exposure to sea tides and extreme weather events. The local government's role and environmental management strategies are crucial in mitigating these risks. This research seeks to evaluate these aspects by focusing on the measures implemented by Bintan Regency to manage tidal floods. The study employs a qualitative approach, relying on literature reviews to collect data from various sources such as scientific journals, books, research reports, and other relevant documents. This method provides a comprehensive understanding of the current practices and effectiveness of flood management and environmental management strategies in Bintan Regency. The research findings indicate that the Bintan Regency local government has undertaken significant initiatives to reduce tidal flood risks. These initiatives include spatial planning that integrates disaster risk considerations, the development of flood management infrastructure, and community education programs aimed at increasing preparedness. The effective implementation of environmental management practices, including the use of advanced technology for monitoring and evaluation, has been instrumental in these efforts. The local government’s approach reflects a proactive stance in addressing the challenges posed by tidal floods, emphasizing both preventative measures and responsive strategies. The study concludes that a holistic and sustainable approach is essential for effective tidal flood management. The integration of comprehensive spatial planning, infrastructure development, community engagement, and modern technology forms a robust framework for disaster mitigation.

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.

Pollution of organophosphorus pesticides in the Dongting Lake, China and its relationship with dissolved organic matter: Occurrence, source identification and risk assessment

The escalating global demand for food and industrialization has placed significant pressure on the integrity and management of inland lake ecosystems. Herein, the organophosphorus pesticides (OPPs) pollution status and their relationship with dissolved organic matter (DOM) in Dongting Lake were investigated to identify the ecological risks and potential sources of OPPs. The total concentrations of 18 detected OPPs were in the range of 13.49–375.24 ng/L, with higher concentration observed in east and west lake regions. Among these, fenthion was the dominant contributor, accounting for 64% of total OPPs, posing significant ecological risk to aquatic organisms. Nearly all of sites showed high combined risk of total OPPs. Parallel factor analysis (PARAFAC) and fluorescence regional integration (FRI) technique showed that DOM was mainly composed of terrestrial humic-like and tryptophan-like substances. Moreover, correlation analysis revealed a close association between DOM optical parameters and OPP concentrations. Specifically, OPPs exhibited a significantly positive correlation with tyrosine-like substances, while displaying a negative correlation with fulvic acid-like substances. These results indicated that OPP concentrations may decrease with increasing humification levels and declining tyrosine-like substance contents. This study underscores the critical role of DOM in assessing the occurrence and sources of OPPs in aquatic environments, providing valuable insights for effective environmental management strategies.

The Shift Towards Green Construction: A Review of Environmental Management Strategies and Sustainable Materials in Developed Countries

Green materials have proven to be highly effective in managing environmental impacts when implemented in construction activities. The aim of this review paper is to critically examine the shift towards green construction practices in developed countries, with a focus on the integration of environmental management strategies and the use of sustainable materials. Currently, developed countries such as Switzerland, Japan, and China have significantly benefited their local environments by implementing these practices in the construction industry. Authorities and governments in these nations have taken proactive steps to establish standards and policies for the construction sector, encouraging more industries to participate in environmental management and protection efforts. The enforcement of rules and regulations in these developed countries has led the construction industry to prioritize environmental management and protection. The use of green materials in construction projects, including autoclaved aerated concrete blocks and green roof technology, has shown positive trends in advancing environmental protection and management. Developing countries are encouraged to adopt similar initiatives and utilize green materials in their construction industries to help secure the importance of environmental sustainability.

Environmental Management Strategies for Cost-Effective Waste Management in Hospitals

General background: Waste management in hospitals is crucial due to its environmental impact. Specific background: RSU Al Islam HM Mawardi Krian struggles with waste management while adhering to PSAP No. 1 of 2010 and maintaining efficiency. Knowledge gap: Limited research exists on applying environmental management accounting and operational strategies for hospital waste management in line with accounting standards. Aims: This study analyzes the impact of environmental management accounting and strategies on waste management costs at RSU Al Islam HM Mawardi Krian, assessing compliance with PSAP standards. Results: The hospital has implemented processes of identification, recognition, measurement, recording, presentation, and disclosure per PSAP No. 1 of 2010, managing waste effectively and incurring environmental costs. Novelty: Offers insights into aligning hospital environmental cost management with government standards. Implications: Structured environmental accounting and strategies can enhance waste management, improve hospital reputation, ensure regulatory compliance, and potentially increase revenue. Highlights: RSU Al Islam HM Mawardi complies with PSAP No. 1 of 2010 in managing waste costs. Proper environmental accounting improves transparency and operational efficiency. Structured strategies can boost hospital reputation and revenue. Keywords: Environmental Management Accounting, Operational Strategies, Waste Management Costs, Hospital Compliance