Environmental Crisis Research Articles

Self-standing Z-scheme structured heterogeneous nanosheet arrays of ZnIn2S4/cobalt porphyrin sulfonate for bifunctional photocatalytic carbon dioxide reduction and antibacterial

Photocatalytic CO2 reduction for solar fuel generation and photocatalytic sterilization are highly desired green routes for sustainable environmental purification. Herein, a bifunctional self-standing nanosheet array of Z-scheme structured inorganic–organic heterojunction is synthesized via in-situ growth of ZnIn2S4 (ZIS) on carbon cloth (CC) followed by self-assembly with cobalt porphyrin (meso-tetra(4-sulfonatophenyl) porphyrin, CoTPPS). The obtained CC-ZIS-CoTPPS performed well in the photocatalytic CO2 reduction and antibacterial processes simultaneously in a portable photocatalytic system with a negligible amount of solution. Specifically, the optimized CC-ZIS-CoTPPS demonstrates more than 140 times enhanced CO evolution than pristine CoTPPS. Experimental and theoretical results imply that the enhanced photocatalytic CO2 reduction is associated with elevated light absorption, promoted charge separation, and improved CO2 activation in the inorganic–organic Z-scheme heterojunction. In addition, the self-standing nanosheet array possesses a mechanical cutting effect, which can kill bacteria adhering to the surface even in dark conditions. Moreover, CC-ZIS-CoTPPS achieved a 100 % killing rate under visible light irradiation by synergistically chemical and mechanical sterilization. Furthermore, CC-ZIS-CoTPPS exhibits efficient bifunctional photocatalytic photocatalytic CO2 reduction coupled with in-situ sterilization. This work presents an atomic perspective for developing innovative bifunctional photocatalysts, which hold great potential in portable devices to alleviate energy and environmental crises.

Supporting sustainability assessment of building element materials using a BIM-plug-in for multi-criteria decision-making

The environmental crisis requires the immediate implementation of accurate and robust sustainable solutions throughout the building life cycle. Life Cycle Sustainability Assessment (LCSA) is a scientifically recognised method that integrates the triple dimensions of the life cycle approach, and thereby enabling the evaluation of the performance of mitigation strategies implemented in building projects. However, implementing the LCSA in buildings is limited by the weighting of environmental, economic, and social dimensions to select the best option regarding the numerous materials available. In order to fill this knowledge gap, the paper aims to present the developed Smart BIM3LCA tool, which supports multi-dimensional assessment during the project´s early design steps. Automatic integration of the LCSA, a multi-criteria decision-making tool such as TOPSIS, and building information modelling (BIM), was developed to support the selection of building materials. The BIM plug-in was then validated through its application to a multi-family residential building to select the most sustainable materials during the project´s early design stage.

A Review of Environmental Conditions between Planned and Unplanned Urbanization with Special Emphasis on Kalyani and Ranaghat Urban Areas

Urban settlements in India are generally classified as planned or unplanned as opposed to planned or unplanned urban areas due to land use and taking into account various factors including physical social and economic considerations and land use patterns. Rapid urban growth in India, mostly in an unplanned fashion, is currently a major problem. Urban growth occurs through replacement of vegetation, agricultural areas, wetlands, etc. This results in an unprecedented increase in heat, which dominates the microclimate of urban areas and creates an environmental crisis. Geospatial technology plays a unique role in planned and unplanned urban areas of West Bengal by monitoring spatio-temporal changes in urban heat by estimating land surface temperature and analyzing built-in indices of vegetation cover. It can be classified as NDVI and NDBI suggests that urban heat is controlled by surface character which is analyzed for proper planning for sustainability of urban areas

‘Liquid’ equilibria. New semantics for public spaces in the Apennines

The proposed contribution investigates the role of public space design for the management and regeneration of the river system in Apennine areas: in an environmental crisis and increasing abandonment scenario, water stands as a central issue of critical discussion, representing a valuable source of livelihood and, at the same time, a potential danger for these territories. Through the selection of some significant experiences, in which architectural and landscape design find in the particular antinomian character of water the opportunity for the construction of new balances in the place, an attempt will be made to identify appropriate regenerative strategies to define the 'liquid' public space as a safe place, through the necessary adaptation to the current environmental and climatic conditions, and as an ecosystem, through the re-signification of the delicate relationship between its anthropic and natural components.

The potential of EU policies for achieving wellbeing economies

Abstract The environmental crisis, growing levels of social inequalities and rising levels of non-communicable diseases are all symptoms of economic systems that are failing to generate wellbeing. There is increasing support for the notion that addressing these crises requires shifting the focus from economic growth to a broader range of measures that reflect wellbeing, through more comprehensive, consistent and integrated policy approaches to deliver this. This presentation explores to what extent the concept of the Wellbeing Economy is being applied at the EU level, by tracking changes in some of the EU’s key policies and strategies over the past 10 years and in the Semester process, as a mechanism to implement them. It concludes that while progress towards more integrated policy approaches have been made, it is limited by the continuing emphasis on economic, over other policy areas. Recommendations will be made for an even more comprehensive EU Strategy that enables policy sectors to deliver wellbeing objectives in a more coordinated manner and on how to ensure health and wellbeing remain on policy-making agendas.

How are the three environmental threats challenging health systems’ resilience?

Abstract Background Known avoidable environmental risks cause about one quarter of all deaths and disease burden worldwide, amounting to at least a steady 13 million deaths each year. Indeed, diseases caused by the environment weigh heavily on health systems. These not only harm directly human health increasing the burden of disease but also potentiate other threats, by acting as drivers (e.g. pandemics, antimicrobial resistance). In addition, the increased burden due to these environmental threats also put in risk the capacity of health systems to adapt to the new healthcare needs and to provide a proper answer to the diseases caused by other health determinants. Methods Based on a review of the literature, the presentation addresses the question of potential options in public health climate action at the interface of environmental sustainability and health systems sustainability and resilience. It identifies possible priority areas in order to guarantee environmental and healthcare sustainability. Results Approaches that focus on treatment of individual diseases rather than improvement of environmental determinants of health will be insufficient to tackle the triple environmental crises of climate change, biodiversity loss and pollution. Single-determinant approaches are unlikely to achieve expected improvements, given the complex interaction of environmental factors. Conclusions Approaches that are more integrated are required to address the root causes of disease and guarantee health systems sustainability, which are often defined by policies in key sectors other than health, such as the environment. Multi-sectoral actions are needed to prevent and mitigate the threats to human health from the ongoing and interconnected environmental crises of climate change, biodiversity loss and pollution, contributing to a Planetary Health perspective on health systems’ resilience.

8.C. Scientific session: Health system resilience: A Planetary Health perspective

Abstract Planetary Health is a collective and unifying approach to balance the interlinkages between human health, political, economic and social systems as well as the natural systems of our planet, the importance of which is growing in the context of climate change in European countries and beyond. Yet, there is a dearth of of research linking Planetary Health to health systems’ resilience, particularly from a public health lens. With the number of studies growing regarding impacts of climate change on health, the question remains how health systems need to be prepared, focusing for example on the emergence of infectious diseases as well as the triple crises of biodiversity loss, pollution and climate change. In addition, tools to assess climate-related risks developed at international level, such as the vulnerability, adaptation and capacity assessment developed by the World Health Organization (WHO) have rarely been piloted in European countries. In this workshop, firstly evidence is presented on the status quo of how climate change impacts health and emerging infections in Europe and at global level. Secondly, the workshop provides insights into how tools to assess vulnerability and resilience of health systems in the context of climate change may be used in the European context. Thirdly, resilience is assessed against evidence emerging from the triple environmental crises of biodiversity loss, pollution and climate change. Key messages • In a planetary health lens, using mixed methods to consider climate change vulnerability of different population groups and adaptation potentials are key to address current complex health challenges. • Synergistic solutions and joint working across climate and health offer opportunities for greater health system resilience and population health impact.

Mapping the Knowledge Structure of Image Recognition in Cultural Heritage: A Scientometric Analysis Using CiteSpace, VOSviewer, and Bibliometrix

The application of image recognition techniques in the realm of cultural heritage represents a significant advancement in preservation and analysis. However, existing scholarship on this topic has largely concentrated on specific methodologies and narrow categories, leaving a notable gap in broader understanding. This study aims to address this deficiency through a thorough bibliometric analysis of the Web of Science (WoS) literature from 1995 to 2024, integrating both qualitative and quantitative approaches to elucidate the macro-level evolution of the field. Our analysis reveals that the integration of artificial intelligence, particularly deep learning, has significantly enhanced digital documentation, artifact identification, and overall cultural heritage management. Looking forward, it is imperative that research endeavors expand the application of these techniques into multidisciplinary domains, including ecological monitoring and social policy. Additionally, this paper examines non-invasive identification methods for material classification and damage detection, highlighting the role of advanced modeling in optimizing the management of heritage sites. The emergence of keywords such as ‘ecosystem services’, ‘models’, and ‘energy’ in the recent literature underscores a shift toward sustainable practices in cultural heritage conservation. This trend reflects a growing recognition of the interconnectedness between heritage preservation and environmental sciences. The heightened awareness of environmental crises has, in turn, spurred the development of image recognition technologies tailored for cultural heritage applications. Prospective research in this field is anticipated to witness rapid advancements, particularly in real-time monitoring and community engagement, leading to the creation of more holistic tools for heritage conservation.

Fabrication of CdIn2S4/ZnS S-scheme heterojunction via in-situ phase transformation for boosting photocatalytic conversion of organic compounds

Developing efficient photocatalysts is one of green and low cost tactic for addressing the environmental deterioration and energy crisis. Therefore, it remains a fantastic and important strategy to design an efficient junction between different semiconductors for harvesting solar light, boosting the redox capability. Herein, the fabrication of ZnS in situ decorated CdIn2S4 (referred to as CIS-Zx) were prepared by converting ZnS particles on Cd2In4S surface by a facile cation exchange method during solvothermal synthesis. According to a series of PEC measurements and DFT calculations, the bending of band edge as well as the establishing of built-in electric field in the interface of CIS/ZnS heterojunction were concluded, causing the formation of in-situ S-scheme heterojunctions in CdIn2S4/ZnS. The in-situ S-scheme heterojunctions can effectively ameliorate the migration behaviors of photo-generated charges. Compared with pure CdInS4, ZnS and physically mixed CdIn2S4/ZnS, the CIS-Zxin-situ S-scheme heterojunction exhibits efficient photocatalytic activity and stability in the selective reduction of aromatic nitro compounds and oxidation of aromatic alcohols, it is hoped that this work will open up a new avenue for innovative applications of in-situ S-scheme heterojunctions.

In situ composite of biomass derived carbon/porous carbon nitride and its enhanced performance in solar-driven photocatalytic hydrogen evolution reaction

Converting waste organic biomass into functional carbon materials is regarded as a sustainable development strategy to address environmental pollution and energy crisis. In this work, carbon/porous carbon nitride (PCN) composite photothermal catalysts were prepared via an in-situ method with urea and phragmites spikelets as raw materials for the solar-driven hydrogen evolution reaction (HER). The biomass derived porous carbon, in close contact with PCN, not only acts as a charge transfer bridge facilitating the rapid separation and migration of photogenerated charges but also serves as a photothermal carrier to enhance the kinetic process of the photocatalytic reaction. Under simulated solar irradiation (AM 1.5 G), the optimal HER rate of the composite catalyst is 4.98 mmol g−1h−1, which is 2.1 times that of pure PCN. The physicochemical properties of the materials, including morphology, crystal structure, elemental composition and state, and energy band characteristics, were determined. Additionally, theoretical calculations were employed to explore the impact of biomass-derived porous carbon on the electronic structure and band structure of carbon nitride. This work not only broadens the range of raw materials for biomass-derived porous carbon but also provides a novel strategy for promoting photocatalytic HER through synergistic multifield effects, showing broad application prospects in the field of resource recovery and green catalysis.

Two-dimensional BiSbTeX2 (X = S, Se, Te) and their Janus monolayers as efficient thermoelectric materials.

Today, there is a huge need for highly efficient and sustainable energy resources to tackle environmental degradation and energy crisis. We have analyzed the electronic, mechanical and thermoelectric (TE) characteristics of two-dimensional (2D) BiSbTeX2 (X = S, Se and Te) and Janus BiSbTeXY (X/Y = S, Se and Te) monolayers by implementing first principles simulations. These monolayers' dynamic stability and thermal stability have been demonstrated through phonon dispersion spectra and ab initio molecular dynamics (AIMD) simulations, respectively. The band structure of these monolayers can be tuned by applying uniaxial and biaxial strains. The investigated lattice thermal conductivity (κl) for these monolayers lies between 0.23 and 0.37 W m-1 K-1 at 300 K. For a more precise calculation of the scattering rate, we implemented electron-phonon coupling (EPC) and spin-orbit coupling effects to calculate the transport properties. For p(n)-type carriers, the power factor of these monolayers is predicted to be as high as 2.08 × 10-3 W m-1 K-2 and (0.47 × 10-3 W m-1 K-2) at 300 K. The higher thermoelectric figure of merit (ZT) of p-type carriers at 300 K is obtained because of their very low value of κl and high power factor. Our theoretical investigation predicts that these monolayers can be potential candidates for fabricating highly efficient thermoelectric power generators.

Social determinants of participation in genetic research among Puerto Ricans and in the Puerto Rican diaspora

Puerto Ricans are underrepresented in genetic research. This underrepresentation denies Puerto Ricans the benefit from therapeutic developments that could mitigate health disparities arising from conditions for which genetically-derived treatments exist. The Puerto Rican diaspora, especially post-2017 due to economic and environmental crises, has expanded within the USA. Prior research suggests that Latin American diaspora communities are less likely to participate in genetic research. We hypothesized, specifically, that the Puerto Rican diaspora in the USA would be less likely to participate in genetic research than would Puerto Ricans in their homeland's archipelago, and that accounting for social and cultural determinants related to the diaspora experience would mitigate this disparity. We implemented an analytical cross-sectional study of archipelago-residing Puerto Ricans and of the USA-residing diaspora to evaluate this hypothesis. With 1582 Puerto Ricans (723 in Puerto Rico, 859 in the USA), we found that while most participants would participate in genetic research, participation rates varied significantly by diaspora status. Puerto Ricans born and living in the USA were initially more likely to decline participation compared to those in Puerto Rico (OR = 1.54, p < 0.01). However, once adjusted for social and cultural variables, this difference was eliminated (aOR = 1.08, p = n.s.). The factors influencing non-participation include oppression, discrimination, distrust, and social determinants, aligning with the theory of minoritization. An important community in the USA and in the world, Puerto Ricans have the right to participate in well-conducted research and to benefit from its findings, particularly around topics that could help address existing disparities in health outcomes.

Embedding Sustainability across a Teacher Education Course: Teacher Educator Experiences

Abstract Education for Sustainable Development (ESD) remains an urgent priority to combat the numerous social, environmental and political crises prominent in the 21st century. This article shares the experiences of teacher educators who integrated ESD into discipline-specific units of study for pre-service teachers. Using a collaborative auto-ethnographic approach, we explore how curriculum change for ESD was navigated and discuss how institutional support was essential for providing legitimacy and necessary resources. Drawing on Noddings’ approach to ethics of care, we emphasise the significance of valuing the perspectives and experiences of stakeholders involved in curriculum change and advocate for inclusive and responsive approaches that engage individuals meaningfully throughout the process.

MIL-125-PDI/ZnIn2S4 Inorganic-Organic S-Scheme Heterojunction With Hierarchical Hollow Nanodisc Structure for Efficient Hydrogen Evolution from Antibiotic Wastewater Remediation.

Efficient photocatalytic production of H2 from wastewater is expected to address environmental pollution and energy crises effectively. However, the rapid recombination of photoinduced carriers results in low photoconversion efficiency. At present, inorganic-organic S-scheme heterojunction have become a prominent and promising technology. In this study, an organic ligand modified MIL-125-PDI/ZnIn2S4 (ZIS) inorganic-organic S-scheme heterojunction catalyst is designed. ZIS nanosheets are grown on the disc-shaped MIL-125-PDI surface to form a distinctive hollow nanodiscs with hierarchical structure, giving the material an abundance of surface active sites, an optimized electronic structure, and a spatially separated redox surface. Consequently, the optimal 100MIL-125-PDI250/ZIS exhibited high photocatalytic HER of 508.99 µmol g-1 h-1 in Tetracycline hydrochloride (TC-HCl) solution. Meanwhile, the catalyst achieved complete TC-HCl removal and mineralization rate of 66.62% in 4h. Experimental and theoretical calculations corroborate that the staggered band alignment and work function difference between MIL-125-PDI and ZIS induce the formation of a built-in electric field, thus regulating the charge transfer routes and consequently enhancing charge separation efficiency. The possible photocatalytic mechanism is analyzed using liquid chromatography-mass spectrometry (LC-MS), and the toxicities of the degradation products are also evaluated. This work presents a green dual-function strategy for H2 production and antibiotic wastewater recycling.

Constitutive Modeling of Anisotropic Plasticity with ML Algorithms in Metals

Nuclear reactors hold significant promise for mitigating the environmental crisis and achieving a carbon-free world. The advancement of nuclear technology, however, is intricately tied to the materials used in reactors, with metals and alloys forming their core components. Understanding the plasticity and degradation of these materials is crucial to prevent critical reactor failures caused by factors such as radiation-induced embrittlement, creep, and fuel-cladding interactions. While traditional plasticity modeling has relied on constitutive laws and yield functions, the advent of machine learning (ML) and artificial intelligence has opened new avenues for this field. This paper explores the potential of data-driven approaches to enhance plasticity modeling for metals used in nuclear reactors. Recent studies have leveraged ML algorithms, including support vector machines and artificial neural networks, to model yield surfaces and correct theoretical yield functions with experimental data. Despite their accuracy, these models often lack interpretability and generality. To address these challenges, we investigate the applicability of various ML algorithms, i.e. neural networks, logistic regressions, decision trees, K-nearest neighbors, and Gaussian processes (GPs), in developing data-oriented flow rules for plasticity modeling. The paper demonstrates the superiority of GPs in terms of interpretability and generality. Using stress data generated from PyLabFEA, we compared the performance of these algorithms, highlighting the intrinsic uncertainties associated with GP predictions. Our findings indicate that Gaussian process classifiers (GPCs) offer a promising approach for modeling plasticity in metals, providing a balance between precision and physical insight. Additionally, this work presents a deep neural network (DNN) to model anisotropic Hill-type plasticity with perfect test data accuracy (accuracy score: 1.0), which is often hard to achieve with a classification problem. This shows the superiority of DNNs in terms of accuracy in modeling yield functions. The implications of our results for bridging the scale gaps in macrolevel simulations are discussed, and future directions for incorporating microstructural features into ML-based plasticity models are proposed. Overall, the ML framework presented in this paper can be employed for modeling constitutive relations that can be incorporated within traditional Finite Element Method (FEM)–based codes. Specifically, the GPC or DNN developed in this work can be readily swapped with the yield function within the so-called return mapping algorithm of nonlinear FEM-based plasticity subroutines to indicate yielding. Consequently, this merging of ML and FEM will allow us to leverage the geometric representational ability of FEM alongside the superior modeling capabilities of the ML algorithms.

Refugee Rights and International Law: Evaluating the Efficacy of Global Humanitarian Responses to Forced Displacement

The increasing scale of forced displacement due to conflict, persecution, and environmental crises has brought refugee rights to the forefront of global humanitarian discourse. This article critically examines the efficacy of international law in protecting refugee rights and assessing global responses to the growing refugee crisis. Through an analysis of key international legal frameworks, such as the 1951 Refugee Convention and the role of the United Nations High Commissioner for Refugees (UNHCR), the study evaluates the adequacy of current policies in addressing the challenges faced by refugees. It highlights gaps in protection, such as unequal burden-sharing among nations, restricted access to asylum, and prolonged displacement in refugee camps. Case studies from various regions reveal how inconsistent application of international law undermines refugees’ access to fundamental rights, including safety, healthcare, and education. The article argues for stronger international cooperation, better policy implementation, and more robust legal mechanisms to ensure the protection of refugee rights. It concludes by offering recommendations for improving global humanitarian responses and creating more equitable and sustainable solutions for forced displacement.

The Current State and Future of the Urban Cold Chain: A Review of Algorithms for Environmental Optimization

Cold chains are essential in providing people with food and medicine across the globe. As the global environmental crisis poses an existential threat to humanity and societies strive for more sustainable ways of life, these critically important systems need to adapt to the needs of a new era. As it is, the transportation sector as a whole accounts for a fifth of global emissions, with the cold chain being embedded in this old fossil-fuel-dependent infrastructure. With the EU is passing regulations and legislation to cut down on emissions and phase out polluting technologies like combustion engine vehicles, the next couple of decades in Europe will be defined by rapid infrastructural change. For logistics and cold transportation, this shift presents many opportunities but also highlights the need for innovation and new research. In this literature review, we identify pressing issues with the current urban cold chain, review the recent research around environmental optimization in urban logistics, and give a cross-section of the field: what the trending research topics in urban logistics optimization across the globe are, and what kind of blind spots are identifiable in the body of research, as well as changes arising with future green logistics infrastructure. We approach the issues discussed specifically from the point of view of refrigerated urban transportation, though many issues extend beyond it to transportation infrastructure at large.

Conspiratorial Storytelling and Environmental Crisis

ABSTRACT What happens when the narrative of conspiracy theory is used to represent the ecological crisis? Among climate scientists, conspiracy theories are often considered harmful, because they spread doubt about the global scientific consensus on climate change. In recent years, however, the rhetoric of conspiracy theory has become increasingly common among environmental filmmakers who use its narrative conventions to tell stories about complex environmental issues. This article explores this trend by analysing the Netflix documentary, Seaspiracy (2021), which portrays the oceanic crisis as the result of global corruption. The article demonstrates how the film’s high narrative velocity, its negotiation of individual agency, and its construction of ‘hierarchies of scale’ create an ambiguous depiction that is both overwhelming and reductive, yet also highly engaging and, potentially, empowering. Reflecting on this ambiguity, the article argues that this emergent subgenre provides insights into our shifting relations with the ecological crisis and its representational challenges.

Heterointerface of Monodispersed Ultrathin-MnO2@Amorphous Carbon to Attain Durable Lattice Oxygen Redox Chemistry through Creation of Dual Lattice Oxygens.

Lattice oxygen (OL) redox chemistry is a key to alleviating the energy and environmental crisis, but it faces challenges in activating the OL while ensuring structural stability. We disclosed herein that engineering a heterogeneous interface between ultrathin oxide and amorphous carbon can attain the durable OL redox chemistry without introducing catalytically impure sites. To this end, we proposed a green strategy to grow ∼3.9 nm-thickness wrinkled δ-MnO2 nanosheets that are rich in defects and are vertically aligned on amorphous carbon spheres. Experiments and calculations reveal that the electrons can easily migrate from the amorphous carbon to MnO2 at the δ-MnO2@C heterointerface. The heterogeneous interfaces can not only regulate the Mn-O bond and create oxygen defects in δ-MnO2 but also introduce lattice oxygen with varying reactivities. Specifically, the δ-MnO2@C structure carries more activated lattice oxygen that contributes to the enhanced activity on catalytic oxidation of bioderived 5-hydroxymethylfurfural (HMF) to 2,5-furandicarboxylic acid (FDCA), with a high FDCA formation rate of 1759 μmol gcat-1 h-1 and a high selectivity of 95%. The heterogeneous interface of MnO2@C also brings inert lattice oxygen, so that it manifests high structural stability during the oxidation reactions. This work deepens the fundamental understandings in the engineering of lattice oxygen for durable lattice oxygen redox chemistry and showcases an effective interface technique in creating advanced catalysts for clean sustainable energy.

A primer of community ecology using the R language

AbstractCommunity ecology beginners often struggle to understand theories expressed in complex mathematical formulas and to master computer programming. To remedy this situation, this article provides a practical, R‐based introduction to community ecology by illustrating core concepts (vital rates, carrying capacity, density dependence) and models that can be used to explore the patterns of species abundance and diversity. The structure of this article consists of three modeling exercises, each asking a general question that can be answered by a combination of theory and R programming: (1) what determines the abundance of species, and what makes a population persist and go extinct?; (2) what determines the distribution of species and species diversity?; (3) what determines the relative abundance of species and what allows species to coexist? Through the exercises, I discuss the following five concepts and ideas that provide valuable insights into the questions: (i) the tragedy of the commons, (ii) the theory of island biogeography, (iii) competitive exclusion, (iv) the neutral theory of biodiversity, and (v) frequency dependence. These materials are thus designed to guide the reader in developing an intuition for ecological thinking that will help capture the essence of the global environmental and biodiversity crisis. Although this article does not delineate the scope and depth of the vast field of community ecology, I hope that it will motivate the reader to step up to a more formal introduction to community ecology.