Environmental Emissions Research Articles

Cross-linked structures reinforced the bamboo fiber/poly(lactic acid) composites with high heat resistance and their environmental impact through the life cycle assessment analysis

In order to prepare low-cost and heat-resistant poly(lactic acid) (PLA) composites, in this study, bamboo fiber (BF) was added to stereo-complex crystal PLA (SC-PLA) to prepare heat-resistant composites. Poly[(phenyl isocyanate)-co-formaldehyde] [a polyaryl polymethylene isocyanate (PAPI)] was used to form cross-linked structures between SC-PLA and BF, and the effects of PAPI-cross-linked structures on the crystallization properties, mechanical properties, and heat resistance of BF/SC-PLA composites with different BF contents were systematically investigated. When 15% BF was added, the mechanical properties of the composite were significantly improved. The tensile strength increased by 85.5% compared to the unmodified composite, reaching 34.7 MPa, which was even higher than that of the SC-PLA composite (33.1 MPa). In addition, in order to explore the impact of the PAPI-modified BF/SC-PLA composite on the environment and carbon emissions, a life cycle assessment (LCA) of the composites was conducted. The addition of BF effectively reduced the impact of the composite on the environment. Notably, the emissions of CO2 decreased by approximately 11.7%, and the freshwater, marine, and land ecotoxicity were also significantly reduced. This work provided a reference for the preparation of low-cost and heat-resistant PLA composites for heat-resistant food packaging and disposable tableware and expanded the application of PLA products in the field of heat-resistant materials.

Official Turnover and Embodied Carbon Emissions: Evidence From Industrial Linkages in China's Prefecture‐Level Cities

ABSTRACTCarbon emission is the most critical environmental pollution issue today. However, regional trade and industrial linkages have changed the traditional carbon emission pattern. As a public product with strong negative externalities, carbon emissions inevitably lead to severe consequences if the market is allowed to adjust itself. Therefore, public policies made by government officials have an important role in environmental governance and emission reduction. This paper uses China's Multi‐regional Input‐Output (MRIO) table and official turnover data of 269 prefecture‐level cities in China for the empirical test. The results show that official turnover has a significant positive impact on embodied carbon emissions between regions. Heterogeneity analysis shows that the inter‐provincial turnover of officials and the turnover between regional central cities results in more significant embodied carbon emissions. Further research finds that the longer the officials stay in their previous positions or as new local government leaders, the greater the embodied carbon emissions caused by their turnover. In addition, the turnover of officials affects interregional embodied carbon emissions by promoting regional entrepreneurship, venture capital and structure transformation of industries. The findings of this paper provide essential enlightenment for optimizing Chinese local government governance and promoting the transformation of the economic development mode.

Unit commitment in solar‐based integrated energy distribution systems with electrical, thermal and natural gas flexibilities: Application of information gap decision theory

AbstractThe depleting oil reserves, air pollution and increasing energy demand, have overturned the focus of the scientific community to renewable energy sources. Among which the photovoltaic (PV) systems occupy more than half of the market share and are generally installed at the distribution level. The volatile and uncertain nature of these PV productions necessitates flexible resources in energy systems. To this end, the district heating systems have an outstanding flexibility on account of their high thermal inertia. This study investigates the optimal unit commitment scheduling for gas‐fired and non‐gas‐fired distributed generation units (NGU) in an integrated energy distribution system (IEDS) within the physical constraints of the electrical, natural gas and thermal energy distribution networks. Moreover, a planning‐based optimization framework is proposed to investigate the investment of battery storage systems in the electric distribution network under the high penetration of PV systems with the aim of enhancing flexibility and reducing the operating costs of the IEDS. In this framework, the information gap decision theory is deployed under risk‐averse and risk‐seeker strategies to deal with uncertain PV energy production. Additionally, the environmental emissions are considered in a multi‐objective approach. The IEDS is embodied through IEEE 33‐bus EDS, 20‐node natural gas network and an 8‐node district heating systems. Eventually, The proposed approach makes a noteworthy contribution to the advancement of solar energy systems in IEDS.

System Identification for Robust Control of an Electrode Positioning System of an Industrial Electric Arc Melting Furnace

Through system identification for robust control methods and utilizing real-time experimental field data, a comprehensive mathematical model is derived that represents the dynamic performance of a single electrode positioning system (EPS) in an industrial electric arc melting furnace (EAF). This EPS is characterized by large, time-varying dynamic parameters, which fluctuate based on operating conditions, specifically as the electrode weight changes within its operational range. The system identification methodology for robust control is developed in four main steps, progressing from experimental design to model validation. This approach yields a nominal model of the actual system and provides a trustworthy estimate of the region of uncertainty of the model, bounded by models of the real system under maximum and minimum electrode weight conditions (limit operating models). The methodology generates three fourth-order time-delay models using an ARMAX structure. The results are promising, as system identification for robust control enables the derivation of mathematical models specifically tailored for designing robust controllers. These controllers significantly enhance the EPS control system’s performance and substantially reduce energy consumption and environmental emissions.

Life Cycle Assessment and Process Optimization of Precipitated Nanosilica—A Case Study in China

To mitigate environmental emissions in the industrial nanosilica sector and promote its sustainable development, the life cycle assessment (LCA) method is employed to evaluate the environmental impacts throughout the life cycle of industrial precipitated nanosilica. This LCA spans from the acquisition and transportation of raw materials to the production of nanosilica. By identifying the critical contributing factors, effective optimization strategies have been proposed to enhance the environmental performance of the nanosilica life cycle. The effects of electricity, alkalis, acids, and steam on the life cycle emission factors of nanosilica were examined. The results indicate that substituting traditional coal power and steam with cleaner alternatives like wind energy, hydroelectric power, and solar power (both photovoltaic and thermal), as well as biogas steam, can lead to a significant reduction in the life cycle emission factors of nanosilica, ranging from 50% to 90%. Notably, the types of acids and alkalis used only significantly reduce certain environmental factors. These findings provide valuable theoretical insights and practical guidance for the industrial nanosilica sector, particularly in the areas of energy conservation, emission reduction, and the transition towards a lower-carbon economy.

Combined application of Life Cycle Assessment and Neural Network Model for Modeling Energy and Environmental Emissions in Sugar Beet Production

Combined application of Life Cycle Assessment and Neural Network Model for Modeling Energy and Environmental Emissions in Sugar Beet Production

Promoting Sustainability: Collaborative Governance Pathways for Virtual Water Interactions and Environmental Emissions

This study explores the water consumption and greenhouse gas (GHG) emissions in the Yarkand River Basin, focusing on their dynamic interactions across industrial sectors. Utilizing environmental input–output analysis (IOA), the CROPWAT model, and life cycle assessment (LCA), we quantified the historical evolution of physical and virtual water cycles in relation to the water–carbon nexus. Our findings reveal that the planting industry, particularly the production of export-oriented, water-intensive crops like cotton, significantly contributes to both blue and green water consumption, exacerbating regional water scarcity. The persistent external market demand drives this over-extraction, further strained by the basin’s limited water retention capabilities. Although advancements have been made in reducing the per-unit water footprint of crops, total water consumption continues to rise due to agricultural expansion, intensifying pressure on blue water resources. Additionally, agricultural GHG emissions have surged, driven by increased electricity consumption, heavy fertilizer use, and escalating soil N2O emissions. In light of these challenges, our research underscores the critical need for integrated resource management strategies that align with sustainable development goals. By promoting efficient water allocation within the agricultural sector and diversifying crop structures downstream, we can enhance ecosystem resilience and reduce environmental degradation. Furthermore, the advancement of value-added agricultural processing and the implementation of innovative water conservation technologies are essential for fostering economic sustainability. These strategies not only mitigate the environmental impacts associated with agricultural practices but also strengthen the region’s adaptive capacity in the face of climate change and fluctuating market demands. Our findings contribute to the broader discourse on sustainable agricultural practices, emphasizing the interconnectedness of water management, climate resilience, and economic viability in arid regions.

Has the Anti-Corruption Campaign Decreased Environmental Pollution? Evidence from China

Whether anti-corruption efforts help reduce environmental pollution is a hot topic in academia. This paper analyzes the impact of anti-corruption on the emissions of environmental pollutants using panel data from 31 provinces (municipalities) in China from 2015 to 2022. By using the 2018 supervision system reform as an exogenous policy shock, a Difference-in-Differences (DID) model is employed to examine the impact of the anti-corruption campaign on environmental pollutant emissions. The results show that the effectiveness of anti-corruption measures has strengthened over time, especially after the 2018 system reform, although these reforms exhibit a lag effect before significantly reducing pollution levels. Furthermore, heterogeneity analysis indicates that due to the high-pollution, high-energy-consumption industrial structure, the pollution reduction effect of anti-corruption measures is more pronounced in resource-based provinces than in non-resource-based provinces. Our findings emphasize the importance of strengthening anti-corruption measures and establishing a sound legal framework to effectively curb corruption and enhance environmental protection.

Performance study of bimetallic Mn-Zn porous flower-like nanosheets as supercapacitor positive electrode materials

As environmental and carbon emission issues become increasingly severe, electrochemical energy storage systems have gained attention. Compared to traditional supercapacitors, zinc-ion hybrid capacitors (ZIHCs) are not only environmentally friendly but also cost-effective. MnO2, with its low cost, eco-friendliness, high theoretical capacity, and stable crystal structure, is considered a promising positive electrode material. In this study, the morphology of MnO2 was optimized using electrodeposition. During cycling, zinc ions reversibly intercalate and extract from MnO2, forming a cactus-like nanoflower structure. This structure is loose and porous, providing ample reaction space for active materials. The assembled device exhibits excellent performance in both energy density (85.68 Wh kg−1) and stability (91.60 %).

The Transition Pathways to Sustainable Urban Mobility: Could They Be Extended to Megacities?

Population concentration in urban areas has placed cities at the forefront of the global struggle to achieve the Sustainable Development Goals. Within cities, current mobility patterns are responsible for a significant proportion of environmental emissions. As a result, cities across the world are seeking to develop transitions towards new and greener mobility systems. This paper analyses the different pathways that explain the readiness, or otherwise negation, of cities in achieving sustainable mobility. Based on a sample of 65 cities from all over the world, and with the application of Set-Theoretic Multi-Method Research and Necessary Conditions Analysis, it is demonstrated that there are necessary conditions for the achievement of sustainable mobility, as well as different terms that explain its achievement and its denial. Moreover, the analysis confirms that both the necessary conditions for sustainable mobility and one of the terms explaining its denial reflect the existence of causal mechanisms. The paper confirms the necessity for an analysis of the transitions towards sustainable mobility to take into account the characteristics of the context. Furthermore, it is not possible to explain the behaviour of megacities on the basis of generalised statements.

Examining the relationship between the built environment and carbon emissions from operating vehicles: enlightenment from nonlinear models.

Carbon emissions from urban transportation significantly contribute to overall transportation emissions and are a major cause of the continuous rise in global temperatures. Understanding the spatial distribution and influencing factors of carbon emissions from operating vehicles can aid in formulating targeted policies and promoting emission reduction. To analyze the factors influencing urban traffic carbon emissions, we calculated emissions using trajectory data from operating vehicles in Shenzhen. We then used gradient boosting regression tree methods, specifically RF, XGBoost, and LightGBM models, to analyze the impact of the built environment on vehicle emissions. We used the XGBoost model for detailed factor analysis by comparing the models. The results indicate that bus stops, intersections, housing density, metro stops, and land use mix are the top five factors influencing emissions. When road density is 0-15 km/km2, the distance from the city center is 0-6 km, and the population exceeds 2000/km2, the built environment significantly reduces vehicle emissions.

A review of the knowledge structure and trends in research on the interlinkages between the rule of law and environmental sustainability

AbstractThe interplay between nature and human activities is important for both human well‐being and the health of our planet. The rule of law is central to maintaining harmony between environmental needs and human endeavors. Since the early 1990s, particularly after the Earth Summit in 1992, there has been an increased interest in the relationship between environmental sustainability and legal frameworks. This has led to a significant expansion in the field, encompassing a wide array of research. Despite the field's growth, there is still a lack of review papers that explore its knowledge structure and evolution. This study aims to conduct a comprehensive bibliometric analysis of the literature by employing the Visualization of Similarities (VOS) viewer software. We identify key thematic areas within the field, highlight influential authors and journals, and specify major contributing countries and institutions. The findings show that the initial focus was on limited themes, which later gave way to an acknowledgment of the multidimensional nature of the subject. Certain themes, such as environmental emissions and governance, retain prominence. Among the focal themes, sustainability, climate change, and democracy are particularly influential in shaping the field's trajectory. Despite this evolution, certain aspects of both concepts, such as waste and water management, fundamental rights and justice system, and the importance of socio‐economic factors, remain underrepresented. This study offers valuable insights into the linkage between the rule of law and environmental sustainability themes and the associated themes.

Modeling chemical bioaccumulation in snakes, part 1: Model development

Environmental chemical emission influences ecological health to some extent. Predators (e.g., snakes) could bioaccumulate chemicals along the food chain, which also leaves potential health implications on their reproduction. For the difficulty of collecting related biomatrices for exposure assessment, part 1 of this study proposed a modeling method relying on physiologically based kinetic (PBK) theory to estimate snake chronic exposure to environmental chemicals. In the steady state, the biotransfer factors of chemicals produced by the PBK model can indicate a snake’s chronic internal exposure to environmental chemicals and their potential for bioaccumulation at this level of the food web. Specifically, 3074 organic chemicals were compelled into the dataset for PBK modeling (part 2 of the study). The modeling framework covered the physiological process of the skin to consider shed snakeskin as a potential biomarker for future study. The proposed modeling approach was integrated into a spreadsheet, enabling the modification of input values to simulate outcomes for a wide range of chemical and snake species. The proposed model can help assess the ecological risks of environmental chemicals and quantify their behavior in the food web.

Semantic Web and its role in facilitating ICT data sharing for the circular economy: An ontology survey

The environmental pressure, CO2 emissions (including embodied energy) and delivery risks of our digital infrastructures are increasing. The exponentially growing digitisation of services that drive the transition from industry 4.0 to industry 5.0 has resulted in a rising materials demand for ICT hardware manufacturing. ICT devices such as laptops and data servers are being used on average for 3 and 4–5 years respectively (van Driel (2020)), while research shows that they should last 7 years before replacement (Journal of Cleaner Production 69 (2014), 10–16). A solution is to transition from a linear to a circular economy (CE), through which materials that were previously disposed of as waste are re-entered back into product life-cycles through processes such as reuse, recycling, remanufacturing, repurposing. However, the adoption of the CE in the ICT sector is currently limited due to the lack of tools that support knowledge exchange between sustainability, ICT and technology experts in a standardised manner and the limited data availability, accessibility and interoperability needed to build such tools. Further, the already existing knowledge of the domain is fragmented into silos and the lack of a common terminology restricts its interoperability and usability. These also lead to transparency and responsibility issues along the supply chain. For many years now, the Semantic Web has been known to provide solutions to such issues in the form of ontologies. Several ontologies for the ICT, materials and CE domains have been build and successfully utilised to support processes such as predictive maintenance. However, there is a lack of a systematic analysis of the existing ontologies in these domains. Motivated by this, we present a literature survey and analysis of, but not limited to, existing ontologies for ICT devices such as laptops, materials and the CE. In addition, we discuss the need for findable, accessible, interoperable, reusable (FAIR) data in the CE, different factors such as data privacy and security that affect this and the role of ontologies.

Benefits of Environmentally Friendly Plaster on Mechanical Properties When Combined with Polyester Resin and Hardener Are Examined under Compression and Tension.

Recently, plaster has gained increasing attention as a mechanical and environmentally friendly option and is an effective alternative to traditional cement products. Additionally, polyester has an effective impact on the mechanical properties of materials, in addition to being one of the most environmentally friendly materials. However, studies are still ongoing to reach the best ratios of polyester resin, polyester hardener, and gypsum plaster that can improve mechanical properties. This research aims to investigate the impact of these components at various ratios (30%, 45%, and 60%) of gypsum plaster weight on the mechanical properties of plaster material. This study is carried out by conducting compression and tensile tests for three ratios, which are considered among the most important mechanical tests according to their applications. In addition, the environmental emissions resulting from the three different ratios of plaster are evaluated to determine their environmental impact. This study found that the largest ratio (30%) was the most effective from an economic and mechanical point of view, while achieving lower carbon emissions compared to the other ratios, which enhances the trend towards achieving the environmental goals of the Kingdom of Saudi Arabia's Vision 2030 to reach zero emissions. This study is highly significant both in terms of scientific research and practical application across a range of industries, since it integrates the enhancement of material performance with the achievement of environmental sustainability requirements.

A Multi-Layer Techno-Economic-Environmental Energy Management Optimization in Cooperative Multi-Microgrids with Demand Response Program and Uncertainties Consideration.

This paper presents a multi-layer, multi-objective (MLMO) optimization model for techno-economic-environmental energy management in cooperative multi-Microgrids (MMGs) that incorporates a Demand Response Program (DRP). The proposed MLMO approach simultaneously optimizes operating costs, MMG operator benefits, environmental emissions, and MMG dependency. This paper proposed a new hybrid ε-lexicography-weighted-sum that eliminates the need to normalize or scalarize objectives. The first layer of the model schedules MMG resources with DRP to minimize operating costs (local generation and power transactions with the utility grid) and maximize MMG profit. The second layer achieves the environmental operation of the MMG, while the third layer maximizes MMG reliability. This paper also proposed a new application of a recently developed enhanced equilibrium optimizer (EEO) for solving the three-layer EM problem. In addition, the uncertainties of solar power generation, wind power generation, load demand, and energy prices are considered based on the probabilistic 2m + 1 Point estimation method (PEM) approach. Three case studies are presented to verify the proposed MLMO approach on an MMG test system. In Case I, a deterministic EM is solved to simulate the MMG as a single layer to minimize costs and maximize benefits through DRP, while Case II solves the MLMO optimization problem. Simulation results show that the proposed MLMO technique reduces environmental emissions by 2.45% and 3.5% in its optimization layer and at the final layer, respectively. The independence index is also enhanced by 2.49% and 4.8% in its layer only and as a total increase, respectively. Case III is for the probabilistic EM simulation; due to the uncertain variables effect, the mean value in this case is increased by about 2.6% over Case I.

Do reusables pose greater infectious risks than disposables for consumer goods? A systematic literature review

Increased concern over climate change and the emergence of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus resulted in a clash of political directives around reusable and disposable food serviceware. Decreasing single-use items will likely reduce consumption and environmental emissions; however, improper cleaning of reusable items could result in greater risks of disease transmission. We sought to assess the risks of reusable and disposable food serviceware and document disinfection protocols by conducting a systematic literature review of articles that assessed materials or products that could be fomites to specific food-borne pathogens. After initial screening, the study team extracted data from 122 articles. The most common pathogens studied were E. coli (25% of included studies), general bacteria (24%), and Norovirus (16%). Thirteen studies (8%) focused on SARS-CoV-2. A majority of studies analyzed plastics (27%), stainless steel (22%), or porous surfaces such as paper and cardboard (12%). Forty seven of the studies (35%) were conducted in a food service setting, and 40 studies (30%) tested disinfection techniques. Despite a large body of related literature, there is very little evidence suggesting that either reusable or disposable food serviceware is safer for minimizing infectious risks. Pathogens can survive on various fomites, though greater surface porosity and higher humidity levels increase viability of most pathogens. There appear to be no major differences in pathogen viability on various fomites. There is a paucity of research that can specifically aid in developing policy or guidelines for appropriate use of reusable food serviceware. Though given recent studies on SARS-CoV-2, banning reusable bags and food serviceware is an inappropriate response to this particular pathogen, which is rarely spread through surface contact. Further research is needed that explicitly studies pathogen viability, transmission risks, and appropriate disinfection techniques for disposable and reusable food serviceware in order to devise effective sustainability policies.

Towards the development of measurement and analysis method for aerodynamic noise emission from high speed train: the UIC Aeronoise Project

The increase of railway lines operating at speeds above 250 km/h has shifted the attention towards environmental noise emissions by aerodynamic noise, dominant at these speeds. Adding complexity to the issue, while railway noise emissions at conventional speeds are concentrated in the lower parts of the train, aerodynamic noise emissions are distributed along the train at different heights and depending on the train design. Assessment of aerodynamic noise emissions of high speed train has been endeavored using microphone arrays, implementing different variants of the wave beamforming algorithm. This method involves a quite complex post-processing, and also numerical quantification of results is not immediate. UIC AERONOISE project has aimed at developing a simplified pass-by test methodology capable of quantifying aerodynamic noise emissions from high speed , using exclusively a limited number of standard instrumentation microphones. This methodology has been validated theoretically and is currently undergoing experimental tests. Fundamental points in this methodology are explained in this contribution, together with results achieved so far.

Development of Donor-acceptor-type Molecules and Their Application as Analytical Reagents

π-Extended donor-acceptor (D-A)-type molecules, which bear both electron-donor and electron-acceptor substituents on the backbone, exhibit unique optical properties, such as bathochromic shifts in absorption and emission, large Stokes shifts, solvatochromic behavior, and fluorescence quenching in polar solvents. These unique properties are attributed to intramolecular charge transfer (ICT) or twisted intramolecular charge transfer (TICT) in the ground and excited states. This review article introduces three types of D-A-type molecules that are used as detection reagents for (1) methanol, (2) amino acids during solid-phase peptide synthesis (SPPS), and (3) amines present in the biological environment. For methanol detection, D-A-type fluorophores with basic guanidine moieties were developed to differentiate between methanol (MeOH) and ethanol (EtOH) based on the small difference in their pKa values (ΔpKa=0.4). Selective protonation of the guanidine moiety in methanol disrupts the D-A structure, allowing emission in the resultant polar environment. Similarly, an acid-base reaction between the hydrogen chloride (HCl) salts of the D-A-type molecules and amines is applied to detect amines during SPPS. In this method, a colorless solution of an HCl salt of the D-A-type molecule is deprotonated by amines, forming a yellow solution. This is the first reported quantitative and non-destructive colorimetric method for detecting amines. Finally, a turn-on-type amine-labeling reagent was developed for the nucleophilic aromatic substitution (SNAr) reaction. This new reagent enables protein staining of living cells with a large Stokes shift and without solvent-polarity-dependent fluorescence quenching.

FROM ENERGY INTENSITY TO SUSTAINABILITY: AN ANALYSIS OF TRENDS IN THE ALUMINIUM INDUSTRY

The article analyses trends in the aluminium industry from the point of view of sustainable development and energy efficiency. The significant impact of industrial enterprises on the environment is discussed, particularly, the high level of greenhouse gas emissions caused by energy consumption in aluminium smelting. Possibilities of reducing the negative impact due to the use of renewable energy sources, such as hydropower, as well as the implementation of energy-efficient practices, have been identified. A taxonomic analysis was used to assess the sustainable development of aluminium enterprises due to its advantage in identifying problems and directions for production improvement. The proposed method of analysis is based on the system of factors that influence the development of the industry and correspond to the concept of sustainable development. Based on the available data of the International Aluminium Institute (IAI), the analysis was carried out using the following factors: economic (volume of production, energy intensity of primary aluminium smelting, total energy consumption of production, labour productivity, impact of energy intensity on emissions), environmental (emissions of greenhouse gases and energy consumption of aluminium smelting using different energy sources), social (million hours reported worked, lost time accident rate, restricted work/medical treatment accident rate). Approbation of the proposed methodology on the example of international statistical data makes it possible to determine the biggest gaps in ensuring the sustainable development of aluminium industry production, including the use of various energy sources. Based on the results of the analysis, it was found that none of the factors used in monitoring the activities of aluminium producers reach the reference values. In the block of economic factors, the taxonomic indicator varies between 0.18 and 0.38 (the worst efficiency is observed in terms of total production volumes). Environmental factors have taxonomic values in the range of 0.07–0.36 (the largest reserves exist in ensuring the efficiency of energy consumption using hydropower, as well as reducing greenhouse gas emissions in the process of primary aluminium production). Among the social factors, the biggest problems are labour safety and lost working hours; as a result, the taxonomic indicator for this block is in the range of 0.04 - 0.33. The obtained results indicate the need for constant improvements in the production of aluminium, which is one of the main producers of greenhouse gases due to the high energy intensity of production. The proposed approach for conducting an analysis can be improved depending on the available statistical data and the goals of the analysis. In any case, it is valuable for obtaining information on the most critical areas in supporting the sustainable development of the industry.