The legacy environmental footprints of manufactured capital.

The foundations of today's societies are provided by manufactured capital accumulation driven by investment decisions through time. Reconceiving how the manufactured assets are harnessed in the production-consumption system is at the heart of the paradigm shifts necessary for long-term sustainability. Our research integrates 50 years of economic and environmental data to provide the global legacy environmental footprint (LEF) and unveil the historical material extractions, greenhouse gas emissions, and health impacts accrued in today's manufactured capital. We show that between 1995 and 2019, global LEF growth outpaced GDP and population growth, and the current high level of national capital stocks has been heavily relying on global supply chains in metals. The LEF shows a larger or growing gap between developed economies (DEs) and less-developed economies (LDEs) while economic returns from global asset supply chains disproportionately flow to DEs, resulting in a double burden for LDEs. Our results show that ensuring best practice in asset production while prioritizing well-being outcomes is essential in addressing global inequalities and protecting the environment. Achieving this requires a paradigm shift in sustainability science and policy, as well as in green finance decision-making, to move beyond the focus on the resource use and emissions of daily operations of the assets and instead take into account the long-term environmental footprints of capital accumulation.

Sustainability assessment of biofuel and value-added product from organic fraction of municipal solid waste.

The current study aims to examine the techno-economic and environmental assessment of biorefinery development within a circular bioeconomy context by using an organic fraction of municipal solid waste (OFMSW) by extraction of lipids, carbohydrates, and proteins with 98, 51 and 62 % by mass of conversion efficiency and yield recovery, and value-added fractions production as well. Fatty acid methyl ester (biodiesel) and glycerol (biofuel) were produced by applying transesterification process, and the remaining biomass was converted into biocrude oil by thermal liquefication. The biorefinery using 613 kg of OFMSW produced biodiesel, glycerol, and bioethanol with 126 litter, 14.3 kg, and 172 litter respectively, as well as value-added fractions, such as biocrude oil with 78 kg. The environmental impact was assessed using the life cycle assessment (LCA) framework, ReCiPe2016 Mid-point (H) approach, through 18 different environmental categories. The key findings elucidate that Terrestrial ecotoxicity, Climate change, Fossil depletion and Human toxicity were the main impact categories which are potentially contributed 9.81E+02 kg 1,4-DB eq., 1.43E+03 kg CO2 eq., 2.04E+02 kg oil eq., and 8.08E+01 kg 1,4-DB eq. The normalization (person per equivalent) analysis revealed that only categories of resource reduction (fossil and metal depletion) are the key contributors to environmental degradation. The biorefinery system's total revenue was estimated at USD 6.817,509 million annually. The calculated revenue was USD 0.026 million daily in a shift of 8 h. The Net present worth (NPW) was calculated at USD 499.97 million by assuming a discount factor of 10 % and inflation rate of 5 % for 15 years. The project is considered feasible by demonstrating 7.15 payback year. This research showcased the efficient portrayal of the biorefinery system and succinctly conveyed the significant circular bioeconomy for a greener future. Thus, it could be helpful to the stakeholder's context towards techno-economic and environmental evaluation.

Mapping and assessing natural soundscape quality: An indicator-based model for landscape planning.

Natural soundscape quality (NSQ) has been recognized as an essential cultural ecosystem service that contributes significantly to human health and well-being. It also stands as an indispensable component of environmental quality, especially for landscape aesthetic quality. However, an assessment tool for NSQ in landscape planning and environmental impact assessments is still absent. Therefore, this paper aims to address this gap by proposing an indicator-based model for assessing and quantifying NSQ in the Geographic Information System. The model characterizes NSQ based on Calmness and Vibrancy, and employs several indicators, sub-indicators, and respective metrics as proxies to quantify and map them spatially. The evaluation criteria of the model correspond to the general public's preferences for soundscape features. The case study results in Springe municipality, Germany, show that the relative values of NSQ are high in green spaces, including forests, grasslands, and shrublands, whereas they are low in open farmlands. The multiple natural sounds yield higher NSQ scores than the individual ones. The same soundscape compositions in forests and in urban parks exhibit higher NSQ scores than in other land cover types. In addition, the shares of relative values show similar distribution patterns among Calmness, Vibrancy, and NSQ according to land cover types and soundscape compositions. The evaluation results align with public values and preferences for soundscape features. Unlike subjectivist approaches, our user-independent methodology is easily transferable and reproducible. The results are comparable and communicable among the assessed areas. These endow the indicator-based model with the potential to be applied at various planning and management scales. The findings can help to incorporate soundscape evaluation into landscape planning and management systems, supporting sustainable landscape development, and providing valuable information for policy-, plan- and decision-making.

Resource utilization of stone waste and loess to prepare grouting materials.

Loess, a terrestrial clastic sediment, is formed essentially by the accumulation of wind-blown dust, while stone waste (SW) is an industrial waste produced during stone machining. Utilising loess and SW to prepare environmentally-friendly supplementary cementitious materials can not only address environmental issues caused by solid waste landfills but also meet the demand of reinforcement of coal-seam floor aquifer for grouting materials. In this paper, the effects of the loess/SW mass ratio and calcination temperature on the transformation of calcined products are investigated and their pozzolanic activities are evaluated. The workability, environmental impact and cost of grouting materials based on cement and calcined products are also assessed. Experimental results reveal that higher temperatures favour the formation of free lime and periclase, which tend to be involved in solid-state reactions. Higher temperature and loess/SW mass ratio strengthens the diffraction peaks of dodecalcium hepta-aluminate (C12A7), dicalcium ferrite (C2F) and dicalcium silicate (C2S). The clay minerals in loess become completely dehydroxylated before 825 °C, generating amorphous SiO2 and Al2O3. Covalent Si-O bonds are interrupted and that disordered silicate networks are generated in the calcined products, which is confirmed by the increased strength of the Si29 resonance region at -60 ppm to -80 ppm. Although co-calcined loess and SW contain the most four-fold aluminium at 950 °C, recrystallisation depresses the pozzolanic activity. Hence, the loess/SW sample designated LS2-825 exhibits the better hydration activity. Additionally, grouting materials composed of cement and LS2-825 exhibit good setting times, fluidity, strength and a low carbon footprint in practical engineering applications, and they also provide the additional benefit of being cost effective.

Quantifying land change dynamics, resilience and feedback: A comparative analysis of the lake Chad basin in Africa and Aral Sea basin in Central Asia.

The intricate interaction of natural and anthropogenic factors drives changes in land and water in response to societal demands and climate change. However, there has been insufficient information on the feedback effects in dryland hotspots altered by land change dynamics. This research compared two transboundary inland lakes, the Lake Chad basin (LCB) in Africa and the Aral Sea basin (ASB) in Central Asia, using remote sensing and geographic information system techniques to analyze and quantify present and future land cover dynamics, resilience, and their feedback effects. The study integrated Cellular Automata, Markov Chain, and Multilayer Perceptron models to predict LULC changes up to 2030. Descriptive statistics, ordinary least squares regression, hotspot Gi-Bin, trend analysis, and advanced geostatistical methods were utilized to identify relationships, patterns, magnitudes, and directions of observed changes in the feedback effects. From 2000 to 2030, the analysis unveils intriguing trends, including an increase in cropland from 48% to 51% and a decrease in shrubland from 18% to 15% in the LCB. The grassland increased from 21% to 22%, and the settlement expanded from 0.10 to 0.60% in the ASB. Water bodies remained stable at 1.60 % in LCB, while in ASB, it declined from 3% to 2%. These changes were significantly influenced by population, elevation, and temperature in both basins, with irrigation also playing a significant role in the ASB and slope in LCB. The study further revealed discernible shifts in normalized difference vegetation index, temperature, and precipitation linked to specific land cover conversions, suggesting alterations in surface properties and vegetation health. This study underscores the complex interplay between land cover dynamics, resilience, climate variability, and feedback mechanisms in LCB and ASB.

Carbide slag and sodium metasilicate synergistic activation of sludge ash-based alkali-activated materials: Towards a cleaner activation approach.

Traditional activators such as sodium hydroxide and sodium silicate are commonly used in the preparation of alkali-activated materials; however, their significant environmental impact, high cost, and operational risks limit their sustainable use in treating solid waste. This study explores the innovative use of carbide slag (CS) and sodium metasilicate (NS) as alternative activators in the production of sewage sludge ash-based alkali-activated materials (SSAM) with the aim of reducing the carbon footprint of the preparation process. The results demonstrate that CS effectively activates the sewage sludge ash, enhancing the compressive strength of the SSAM to 40 MPa after curing for 28 d. When used in conjunction with NS, it synergistically improves the mechanical properties. Furthermore, the microstructure and phase composition of the SSAM are characterized. Increasing the quantities of CS and NS accelerates the dissolution of the precursor materials, promoting the formation of a higher quantity of hydration products. This significantly reduces the number of voids and defects within the samples, further enhancing the densification of the microstructure. Environmental assessments reveal that CS and NS offer substantial sustainability benefits, confirming the feasibility of activating SSAM using these materials. This approach provides a less energy-intensive and more environmentally friendly alternative to conventional activation methods and presents an effective strategy for managing large volumes of sewage sludge ash and CS.

Current limitations and opportunities for improvements of agent-based transport models for noise exposure assessment.

Agent-based models represent a promising approach for simulating transport systems and assessing their environmental noise impact, potentially enhancing standard noise exposure assessments. However, it is very important to understand the relevance of these assessments within the context of models initially designed for transport studies. Then, this research investigates the utilization of agent-based transport models when coupled with environmental models to assess individual exposure to transport-related noise. This is achieved by proposing a method to evaluate this approach across four dimensions: spatial, temporal, individual, and activity patterns. This evaluation is demonstrated and discussed with an exemplification model applied in the Lyon Metropolitan Area using open-source tools (MATSim, EQASim, NoiseModelling), which is a representative framework of the current literature. The findings encompass a range of issues, including the conceptualization of exposure contexts and activity spaces, the resolution of the acoustic content, the disaggregation of data at the individual level, the variability in noise reactions, and the correlation structures between social and exposure profiles. The study contributes to the advancement of exposure assessment with insights for future improvements in the field. Further, it underscores the need for more quantitative analyses and scientific research into momentary noise exposure and social epidemiology.

Fit for Strategic Purpose? The Quality of Strategic Environmental Assessment Guidelines in Three East African Nations.

High-quality strategic environmental assessment (SEA) guidelines are essential for ensuring effective SEA implementation. However, empirical studies appraising the quality of existing guidelines are scarce, particularly in Africa. This paper evaluates the quality of national SEA guidelines in Tanzania, Kenya and Uganda, focusing on their potential to support strategic thinking and practice. Data were drawn from guideline documents and analysed using content analysis against best practice, strategic criteria. The analysis reveals that while guidelines share some commonalities, they differ in scope, specificity and strategic orientation. They all incorporate important guiding principles, but only partially address other best practice criteria. Notably, they offer inconsistent guidance on structuring the assessment process and engaging decision windows, which may limit their practical usefulness. The findings highlight opportunities for improving future guideline development, revision and updates. This research and policy recommendations will benefit practitioners, policy-makers and other stakeholders in the case countries and similar jurisdictions.

Aquatic Condition Index: optimization of a rapid wetland assessment tool for evaluating urban wetland health.

Urbanization poses significant threats to wetland ecosystems, leading to habitat loss, hydrological alterations, and the introduction of invasive species that adversely affect essential ecosystem services. This widespread threat underscores the need to develop a robust management tool for gauging urban wetland health. The Aquatic Condition Index (ACI) was developed as a diagnostic tool for monitoring urban wetland health in Calgary, Alberta, Canada. The ACI evaluates wetland health by incorporating functional indicators (i.e., hydrological, ecological, and water quality functions) chosen by scientific experts to provide municipal wetlands with relative condition scores that can inform citywide habitat management budgeting and prioritization. Gathering the data necessary to generate wetland indicators for the ACI requires substantial financial resources, time, and a high degree of analytical expertise for data collection (e.g., field surveys). This investigation aimed to enhance the widespread applicability and cost-efficiency of wetland monitoring by optimizing the ACI. This optimization entailed a sensitivity-driven indicator reduction, which strategically minimizes the number of indicators essential for ACI calculations. Our findings demonstrate that the refined selection of indicators produces comparable results to the original ACI. This highlights the potential of transitioning to more rapid and cost-efficient monitoring methods, creating a streamlined approach to enhance the efficiency of monitoring and assessment processes. Ultimately, this approach can facilitate long-term urban wetland assessments and promote the sustainability and management of these vital urban features . Supplementary Information: The online version contains supplementary material available at 10.1007/s11252-024-01596-0.

Social media and social impact assessment: Evolving methods in a shifting context.

Among many by-products of Web 2.0 come the wide range of potential image and text datasets within social media and content sharing platforms that speak of how people live, what they do, and what they care about. These datasets are imperfect and biased in many ways, but those flaws make them complementary to data derived from conventional social science methods and thus potentially useful for triangulation in complex decision-making contexts. Yet the online environment is highly mutable, and so the datasets are less reliable than censuses or other standard data types leveraged in social impact assessment. Over the past decade, we have innovated numerous methods for deploying Instagram datasets in investigating management or development alternatives. This article synthesizes work from three Canadian decision contexts - hydroelectric dam construction or removal; dyke realignment or wetland restoration; and integrating renewable energy into vineyard landscapes - to illustrate some of the methods we have applied to social impact assessment questions using Instagram that may be transferrable to other social media platforms and contexts: thematic (manual coding, machine vision, natural language processing/sentiment analysis, statistical analysis), spatial (hotspot mapping, cultural ecosystem modeling), and visual (word clouds, saliency mapping, collage). We conclude with a set of cautions and next steps for the domain.

Parmi les nombreux sous-produits du Web 2.0 figure un large éventail de données provenant d'images et de textes, de contenus de médias sociaux et de plateformes numériques, qui révèlent comment les gens vivent, ce qu'ils font et les questions qui les préoccupent. Ces ensembles de données sont imparfaits et biaisés à bien des égards, mais nombre de leurs lacunes les rendent complémentaires des informations collectées par les sciences sociales à l'aide de méthodes conventionnelles. D'où leur utilité potentielle pour la triangulation dans des contextes décisionnels complexes. Cet article synthétise le travail de trois études de cas menées au Canada pour illustrer certaines des méthodes que nous avons développées et qui pourraient être utiles à d'autres chercheurs en EIS: thématiques (codage, apprentissage automatique, analyse sémantique, association statistique), spatiales (cartographie des points chauds, modélisation du transfert des bénéfices) et visuelles (cartes de saillance, collage).

Entre los muchos subproductos de la Web 2.0 se encuentra una amplia gama de datos de imágenes y texto, contenidos en redes sociales y plataformas digitales, que hablan de cómo vive, qué hace y por qué cuestiones se preocupa la gente. Estos conjuntos de datos son imperfectos y sesgados en muchos sentidos, pero muchos de sus defectos los hacen complementarios a la información recogida por las ciencias sociales con métodos convencionales. De ahí su potencial utilidad para la triangulación en contextos complejos de toma de decisiones. Este artículo sintetiza el trabajo de tres estudios de caso llevados a cabo en Canadá para ilustrar algunos de los métodos que hemos desarrollado y pueden resultar útiles para otros investigadores en EIS: temáticos (codificación, machine learning, análisis semántico, asociación estadística), espaciales (mapeo de puntos críticos, modelización de transferencia de beneficios) y visuales (mapas de saliencia, collage).

Evaluating the conservation impact of Antarctica's protected areas.

Antarctic specially protected areas (ASPAs) are a key regulatory mechanism for protecting Antarctic environmental values. Previous evaluations of the effectiveness of the ASPA system focused on its representativeness and design characteristics, presenting a compelling rationale for its systematic revision. Upgrading the system could increase the representation of values within ASPAs, but representation alone does not guarantee the avoided loss or improvement of those values. Identifying factors that influence the effectiveness of ASPAs would inform the design and management of an ASPA system with the greatest capacity to deliver its intended conservation outcomes. To facilitate evaluations of ASPA effectiveness, we devised a research and policy agenda that includes articulating a theory of change for what outcomes ASPAs generate and how; building evaluation principles into ASPA design and designation processes; employing complementary approaches to evaluate multiple dimensions of effectiveness; and extending evaluation findings to identify and exploit drivers of positive conservation impact. Implementing these approaches will enhance the efficacy of ASPAs as a management tool, potentially leading to improved outcomes for Antarctic natural values in an era of rapid global change. Evaluación del impacto de conservación de las áreas protegidas de la Antártida.

Las áreas antárticas con protección especial (AAPE) son un mecanismo regulador clave para la protección de los valores ambientales en la Antártida. Las evaluaciones previas de la efectividad del sistema AAPE se centraron en su representatividad y características de diseño, lo que representó una justificación convincente para su revisión sistemática. La actualización del sistema podría aumentar la representación de los valores dentro de las AAPE, pero la representación por sí sola no garantiza que se evite la pérdida o la mejora de dichos valores. La identificación de los factores que influyen en la eficiencia de las AAPE contribuiría al diseño y la gestión de un sistema de AAPE con mayor capacidad de obtención de los resultados diseñados de conservación. Para facilitar las evaluaciones de la eficiencia de las AAPE, diseñamos una agenda política y de investigación que incluye la articulación de una teoría del cambio sobre cuáles resultados generan las AAPE y cómo lo hacen; la incorporación de principios de evaluación en los procesos de diseño y designación de AAPE; el empleo de enfoques complementarios para evaluar múltiples dimensiones de la eficiencia; y la ampliación de los resultados de la evaluación para identificar y explotar los impulsores del impacto positivo en la conservación. La aplicación de estos enfoques mejorará la eficiencia de las AAPE como herramienta de gestión, lo que potencialmente llevará a mejores resultados para los valores naturales antárticos en una era de rápido cambio global.

Primary care provider perceptions of an asthma home visiting program.

INTRODUCTION: Pediatric asthma home visiting programs have improved clinical outcomes, but little is known about how providers perceive these programs. The purpose of this study was to understand how primary care providers and their colleagues in a medical home perceive an asthma home visiting program that is available at no cost to their patients. METHODS: After several years of running an asthma home visiting program using community health workers (CHW) in 10 pediatric primary care offices in the South Coast of Massachusetts, we surveyed the providers of patients who had enrolled in the program. An anonymous online survey was developed by the program leaders, the program analytics team, and the CHWs for quality improvement purposes. Survey domains included the perceived utility of various aspects of the program, impact on patients, and interaction with CHWs, as well as demographic information about the providers. RESULTS: Of the 24 providers asked to complete the survey from eight primary care practices, 21 completed the survey (88%). Respondents perceived that the most beneficial aspects were environmental assessment (95%), asthma education (91%), and addressing environmental issues (86%). In addition to numerous positive free-text responses, suggestions for improvement were in the areas of referral completion, post-visit communication, and patient identification in the medical record. All respondents would continue to refer to the program. CONCLUSIONS: Primary care providers and medical home staff perceived an asthma home visiting program to have high utility, particularly the environmental assessment, asthma education, and mitigation of environmental issues. Additional opportunities for improvement were identified.

Environmental and economic assessment of waste collection and transportation using LCA: A case study.

The present study is aimed to evaluate the environmental and economic burden associated with current waste collection practices in Dhanbad city, Jharkhand, India. In this study various alternatives were suggested to mitigate these impacts by optimizing resource utilization and maximizing material recovery using life cycle approach. The functional unit adapted is the daily collection service provided for 180 tonnes of municipal solid waste generated in the study area. GaBi 10.6.1 software was used for impact assessment and impacts were assessed for five scenarios in terms of five different impact categories. This study assessed the collection services and treatment options jointly. Baseline scenario (S1) representing the current collection system had the highest impacts on all the impact categories and landfilling contributed the highest (67%) to the overall impacts on the environment. Scenario S2 involved the provision of material recovery facility and considered recycling of plastic wastes having sorting efficiency of 75% which reduced the overall impacts significantly (∼971%) compared to the baseline scenario. Scenario S3 considered composting of food waste (80% food waste sent for composting) and offered further overall impacts reduction (∼1052%) compared to the baseline scenario. In scenario S4, use of electric tippers was accounted which did not offer any significant impacts reductions. Scenario S5 considered the future electricity mix at grid (2030) in India which increased the benefits of using electric tippers. S5 had the least environmental impacts providing overall reductions of ∼1063% compared to baseline scenario and provided maximum economic benefits. Sensitivity analysis results found that variation in recycling had significant change in the environmental impacts. Considering the decrease in recycling rate from 100% to 50%, the impacts on abiotic depletion fossil increased by 136%, acidification by 176%, global warming by 11%, human toxicity by 172% and terrestrial ecotoxicity by 56%.

Environment impact assessment of agricultural diesel engines utilizing biodiesel derived from phoenix sylvestris oil.

Uncontrolled emissions, massive price increases, and other factors encourage searching for a suitable diesel engine fuel alternative. In its processed form, vegetable oil biodiesel is an appealing green alternative fuel for compression ignition engines. Vegetable oil esters have qualities comparable to those of standard diesel fuel. As a result, biodiesel may be utilized to run a diesel engine without any further alterations. This article analyses the potential of Phoenix sylvestris oil, which may be found in forest belts across the globe, as a viable feedstock for biodiesel extraction. Phoenix sylvestris oil is found to be abundant in different forest belts worldwide. The free fatty acid must first be transformed into esters using catalytic acid esterification before proceeding to alkaline catalytic esterification. The molar ratio (6:1), catalyst concentration (1 wt%), reaction temperature (60 °C), and reaction time (2 h) have all been optimized for biodiesel extraction. Biodiesel produced had characteristics that were similar to standard biodiesel specifications. The biodiesel yield from Phoenix sylvestris oil was 92.3% under optimum conditions. The experimental results revealed that the Phoenix sylvestris oil biodiesel performed better than neat Phoenix sylvestris oil and its blends. Phoenix sylvestris oil blend produced better brake thermal efficiency with lower smoke, hydrocarbon, and CO emissions. The biodiesel produced from non-edible Phoenix sylvestris oil has the potential to be employed as a viable alternative to diesel fuel.

Flood vulnerability assessment of Thailand's flood-prone Pathum Thani province and vulnerability mitigation strategies.

This research assesses the flood vulnerability of Thailand's flood-prone province of Pathum Thani using a comprehensive vulnerability assessment framework. The assessment framework incorporates three key components: exposure, sensitivity, and adaptive capacity, consisting of 10, 12 and 11 flood vulnerability indicators, respectively. The flood vulnerability components and the flood vulnerability indicators are statistically validated by confirmatory factor analysis to determine the factor loadings and reliability of the components and indicators. The flood vulnerability questionnaire corresponding to the flood vulnerability indicators is subsequently developed and applied to the flood-prone districts of the province. The results show that proximity to rivers (with an indicator score of 0.685), household debt levels (0.612), land use patterns (0.617), and the proportion of low-income households (0.621) significantly contribute to the flood exposure of the province (with an exposure index score of 0.531). Larger household size (with an indicator score of 0.901), disruptions in public utility services (0.747), and workplace absenteeism due to flooding (0.741) contribute to the province's higher flood sensitivity (with a sensitivity index score of 0.633). Drainage capacity of natural and man-made waterways (0.571) contributes to low to moderate levels of flood adaptive capacity. The flood vulnerability of seven administrative districts of Pathum Thani, as measured by the flood vulnerability index scores (0.454-0.608), range from moderate to high. Local authorities need to invest in flood warning and response systems, prioritize infrastructure development and encourage community engagement to reduce the flood vulnerability.

Environmental impact assessment of multi-source solid waste based on a life cycle assessment, principal component analysis, and random forest algorithm.

As a national pilot city for solid waste disposal and resource reuse, Dongguan in Guangdong Province aims to vigorously promote the high-value utilization of solid waste and contribute to the sustainable development of the Greater Bay Area. In this study, life cycle assessment (LCA) coupled with principal component analysis (PCA) and the random forest (RF) algorithm was applied to assess the environmental impact of multi-source solid waste disposal technologies to guide the environmental protection direction. In order to improve the technical efficiency and reduce pollution emissions, some advanced technologies including carbothermal reduction‒oxygen-enriched side blowing, directional depolymerization‒flocculation demulsification, anaerobic digestion and incineration power generation, were applied for treating inorganic waste, organic waste, kitchen waste and household waste in the park. Based on the improved techniques, we proposed a cyclic model for multi-source solid waste disposal. Results of the combined LCA-PCA-RF calculation indicated that the key environmental load type was human toxicity potential (HTP), came from the technical units of carbothermal reduction and oxygen-enriched side blowing. Compared to the improved one, the cyclic model was proved to reduce material and energy inputs by 66%-85% and the pollution emissions by 15%-88%. To sum up, the environmental impact assessment and systematic comparison suggest a cyclic mode for multi-source solid waste treatments in the park, which could be promoted and contributed to the green and low-carbon development of the city.

Methodology for a preliminary assessment of water use sustainability in industries at sub-basin level.

The sustainability of industrial production, especially for highly water-demanding processes, is strictly related to water resource availability and to the dynamic interactions between natural and anthropogenic requirements over the spatial and temporal scales. The increase in industrial water demand raises the need to assess the related environmental sustainability, facing the occurrence of global and local water stress issues. The identification of reliable methodologies, based on simple indices and able to consider the impact on local water basins, may play a basilar role in water sustainability diagnosis and decision-making processes for water management and land use planning. The present work focalized on the definition of a methodology based on the calculation of indicators and indices in the view of providing a synthetic, simple, and site-specific assessment tool for industrial water cycle sustainability. The methodology was built starting from geo-referenced data on water availability and sectorial uses derived for Italian sub-basins. According to the data monthly time scale, the proposed indices allowed for an industrial water-related impacts assessment, able to take into account the seasonal variability of local resources. Three industrial factories, located in northern (SB1, SB2) and central (SB3) Italian sub-basins, were selected as case studies (CS1, CS2, CS3) to validate the methodology. The companies were directly involved and asked to provide some input data. The methodology is based on the calculation of three synthetic indexes: the Withdrawal and Consumption water Stress Index (WCSI) allowed for deriving a synthetic water stress level assessment at the sub-basin scale, also considering the spatial and temporal variations; the industrial water use sustainability assessment was achieved by calculating the Overall Factory-to-Basin Impact (OFBI) and the Internal Water Reuse (IWR) indices, which allowed a preliminary evaluation of the factories' impacts on the sub-basin water status, considering the related water uses and the overall pressures on the reference territorial context. The WCSI values highlighted significant differences between the northern sub-basins, characterised by limited water stress (WCSISB1 = 0.221; WCSISB2 = 0.047), and the central ones, more subjected to high stress (WCSISB3 = 0.413). The case studies CS1 and CS3 showed to exert a more significant impact on the local water resource (OFBICS1 = 0.18%; OFBICS2 = 0.192%) with respect to CS2 (OFBI = 0.002%), whereas the IWR index revealed the different company's attitude in implementing water reuse practices (IWRCS1 = 40%; IWRCS1 = 27%; IWRCS1 = 99%). The proposed methodology and the indices may also contribute to assessing the effectiveness of river basin management actions to pursue sustainable development goals.

Life cycle assessment of municipal biowaste management - a Czech case study.

As part of coming targets to transition to a sustainable society and actively set a circular economy, one of the EU objectives is to decrease the amount of municipal solid waste and initiate the separation of its organic fraction, i.e., biowaste. Consequently, the question of how to best manage biowaste at the municipal level is of high importance, and previous research has shown the strong influence of local factors on the most sustainable treatment option. Life Cycle Assessment is a valuable tool for comparison of waste management impacts and was used to assess environmental impacts of the current biowaste management in Prague and give insight for improvements. Different scenarios were created regarding EU and Czech biowaste targets for separated collection. Results show the significant influence of the source of energy that is substituted. Consequently, in the current situation of an energy mix highly based on fossil fuels, incineration is the most sustainable option in most impact categories. However, community composting was found to have a better potential to reduce ecotoxicity and resource use of minerals and metals. Furthermore, it could supply a significant proportion of the minerals need of the region while increasing the autonomy of the Czech Republic regarding mineral fertilisers. To meet targets of EU directives for separated collection of biowaste, a combination of anaerobic digestion, to avoid use of fossil fuels, and composting, to increase circular economy, is most likely the best option. The outputs of this project would be of great significance for municipalities.

A Comparative Analysis on the Environmental Impact of Selected Methods for Determining the Profile of Fatty Acids in Cheese.

The fatty acid profile of cheese influences its sensory parameters, such as color, texture, or flavor. Examining the fatty acid profile also helps to assess the nutritional value of the cheese that is being tested. However, the determination of fatty acids in cheese samples is a multi-stage and time-consuming task. In addition, large amounts of toxic organic solvents are used to prepare samples for analysis purposes. This paper presents the results of a study to determine the fatty acid profile of yellow cheese samples. Six different methods of sample preparation were compared for analysis purposes. The profile of fatty acids was determined using gas chromatography with flame ionization detection (GC-FID). The study showed significant differences (p > 0.05) in the resulting fatty acid profile between the methods used. It was found that the most reliable fatty acid profile results were obtained using methods derived from the Folch method. In addition, tools such as the Analytical Eco-Scale tool and the Analytical Greenness Metric for Sample Preparation (AGREEprep) tool were used to assess the greenness of the methods used. In the case of the Analytical Eco-Scale tool, all six methods scored 'acceptable green analysis' with scores ranging from 61 to 73. However, an evaluation of methods using the AGREEprep metric showed that the results of the methods (0.13-0.27) did not show the "greenness" of the analytical methods.

Institutional Determinants of Mining Projects in Canada and Sweden: Insights from the Prosperity and Kallak Cases.

Mining has proven to be a controversial form of resource development throughout the circumpolar north. This article compares two mining projects-the proposed Prosperity gold and copper mine in central British Columbia, Canada and the proposed Kallak iron ore mine in Norrbotten County in northern Sweden-that have endured long and protracted approval processes that have caused tensions and disputes between mining companies, Indigenous peoples, communities and state actors. In an effort understand the particular development paths taken by these two mining projects, this article examines the institutional determinants that structure relationships between industry, Indigenous communities and the state in Canada and Sweden. Using an historical institutionalist theoretical approach, the article focuses on the manner in which the structural features of the political systems and the environmental assessment and permitting processes in both countries have shaped the mine approval process. It also identifies particular critical junctures-important events and decisions that influenced the trajectory of the approval processes in profound and consequential ways. The article finds that institutional determinants, both historical and contemporary, have played a critical role in determining outcomes in both cases. In particular, it demonstrates the ways in which the structures of the Canadian and Swedish political systems have historically excluded Indigenous peoples from the decision-making process for resource development projects such as mines. It also shows how broader institutional contexts, as well as specific events and decisions, have complicated and politicized the mine approval processes, a situation that has heightened tensions on all sides.