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    Horizon detection and tracking in sea-ice conditions using machine vision
    (2023-07-01) Sandru, Andrei; Kujala, Pentti; Visala, Arto; Department of Electrical Engineering and Automation; Department of Mechanical Engineering; Department of Electrical Engineering and Automation; Department of Mechanical Engineering; Ishii, Hideaki; Ebihara, Yoshio; Imura, Jun-ichi; Yamakita, Masaki
    An automated process is proposed for horizon detection and tracking using machine vision cameras and in polar, sea-ice conditions. These conditions present unique challenges for machine vision applications, such as a large amount of clutter (e.g. icebergs) and secondary edge lines from broken ice pieces. The process is divided in two parts: a more computationally expensive, yet robust detection algorithm in the first stage, based on Convolutional Neural Networks, and used to detect the horizon line in an arbitrary sea-ice image; followed by a tracking algorithm, responsible of efficiently detecting the horizon line in the subsequent images of a sequence. We propose two tracking algorithms, one based on the traditional Canny and Hough line detection methods; and a second novel approach using entropy as a measure of randomness, to segment between sea-ice and sky. Our automated process was compared to manually obtained ground-truth data and the results indicate good agreement, especially for the texture-based tracking algorithm.
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    Processes influencing stormwater purification by roadside biochar-amended sand filter in cold climate conditions
    (Finnish Environment Institute, 2024-01-17) Dubovik, Maria; Warsta, Lassi; Tamm, Ottar; Wendling, Laura; Rinta-Hiiro, Ville; Koivusalo, Harri; VTT Technical Research Centre of Finland; Water and Environmental Eng.; Department of Built Environment; Department of Built Environment
    Stormwater in Finland typically lacks substantial treatment despite potentially containing elevated concentrations of nutrients and trace metals that can degrade the water quality of receiving waterbodies. Reactive materials, such as biochar, have been effective in removing pollutants from stormwater. However, knowledge of their performance is primarily based upon laboratory tests as field studies remain scarce and there is little evidence on their long-term field performance. This study evaluated field-scale stormwater pollutant retention by sand and biochar-amended sand filtration systems designed to treat road runoff containing metals and nutrients in southern Finland. Results of field data, and hydrological and geochemical modelling suggest that the filters retain pollutants similarly through a combination of physical filtration, (ad)sorption and/or (co)precipitation additionally affected by leaching of alkali metal cations from biochar media which contributed to the formation of new minerals via PO43- sorption to Fe (oxy)hydroxides or precipitation of Ca phosphate mineral phases (hydroxyapatite).
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    Tree morphology dependent transpiration reduction function of Schefflera arboricola for landfill cover restoration
    (Sciendo, 2024-03) Bordoloi, Sanandam; Liao, Jia-Xin; Ng, Charles Wang Wai; Structures – Structural Engineering, Mechanics and Computation; Hong Kong University of Science and Technology; Department of Civil Engineering
    Changes in hydrological processes and water resources required to sustain vegetation for ecological restoration of landfill covers and post mining sites in arid environments pose challenges in the context of extended droughts. Knowledge of actual threshold and wilting suction values based on tree morphological feature or plant age is essential for understanding the variation of root water uptake with drought stress and numerically predict the pore water pressure profile in root zone. The objective of this study is to quantify the transpiration reduction function (TRF; in terms of stomatal conductance (SC) and xylem sap flow (SF)) of Schefflera arboricola, considering the effects of tree morphology. Continuous drought condition was applied on the plant quantified with leaf area index (LAI) values at 0.5, 2 and 3.5, wherein each LAI represent tree age. The soil matric suction (ψ) and volumetric water content were measured by embedded sensors in the root zone. Based on the TRF obtained from SC values, a unique threshold suction (ψNTRt) ranging from 30 to 50 kPa was identified. Beyond this ψNTRt, measured leaf abscisic acid concentration increased up to 35 ng/mL, indicating the start of water stress avoidance mechanism. It is evident that ψNTRt is independent of tree morphological parameter- leaf area to root length ratio (LA/RL). On the contrary, a threshold suction (ψSAPt), depending on LA/RL ratio, can be determined, indicating the start of xylem cavitation. This ψSAPt values ranging from 80 to 500 kPa depending on the LA/RL value, imply that the plant could significantly resist xylem embolization at higher LA/RL. In contrast, the plant with low LA/RL values have less tolerance of drought stress and hence low survivability. The results from this research study can be vital for devising and predicting plant available water in water scarce arid environments by a flux-based approach which is dependent on the tree age.
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    Leveraging Generative Design for Industrial Layout Planning : SWOT Analysis Insights from a Practical Case of Papermill Layout Design
    (Elsevier Ltd, 2024-04) Borg, Kane; Sahadevan, Vijayalaxmi; Singh, Vishal; Kotnik, Toni; Department of Civil Engineering; Indian Institute of Science Bangalore; Department of Architecture; Department of Civil Engineering; Department of Architecture
    Layout design is a complex problem requiring significant expertise and considerable effort. Digital tools and Generative Design (GD) concepts provide opportunities for improving and automating the layout design process. However, the adoption of GD concepts in practice still needs to be improved. Hence, case studies where GD has been used in practice can offer critical insights into GD implementation. This research presents the findings from the SWOT (Strengths-Weaknesses-Opportunities-Threats) analysis of such a case study. The industry commissioned the researchers to develop a GD tool for layout design optioneering for paper mills. Thus, the findings are based on action research, which provided the authors with first-hand insights into the practical challenges and opportunities for GD implementation in industrial facility layout problems (FLP). Findings suggest that the objectives and technical rules governing industrial layouts make a strong case for GD implementations. However, the lack of established digital workflow, the need for GD expertise and experience within client teams, and the lack of GD best practices are the major threats and weaknesses limiting GD adoption and implementation. Based on the findings, implications for GD research and practice are discussed.
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    Deploying Machine Learning for Radiography of Aerospace Welds
    (Springer, 2024-03) Tyystjärvi, Topias; Fridolf, Peter; Rosell, Anders; Virkkunen, Iikka; Materials to Products; GKN Aerospace Engine Systems; Department of Mechanical Engineering
    Artificial intelligence is providing new possibilities for analysis in the field of industrial radiography. As capabilities evolve, there is the need for knowledge concerning how to deploy these technologies in practice and benefit from the new automatically generated information. In this study, automatic defect recognition based on machine learning was deployed as an aid in industrial radiography of laser welds in an aerospace component, and utilized to produce statistics for improved quality control. A multi-model approach with an added weld segmentation step improved the inference speed and decreased false calls to improve field use. A user interface with visualization options was developed to display the evaluation results. A dataset of 451 radiographs was automatically analysed, yielding 10037 indications with size and location information, providing capability for statistical analysis beyond what is practical to carry out with manual annotation. The distribution of indications was modeled as a product of the probability of detection and an exponentially decreasing underlying flaw distribution, opening the possibility for model reliability assessment and predictive capabilities on weld defects. An analysis of the indications demonstrated the capability to automatically detect both large-scale trends and individual components and welds that were more at risk of failing the inspection. This serves as a step towards smarter utilization of non-destructive evaluation data in manufacturing.
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    On the modelling of distorted thin-walled stiffened panels via a scale reduction approach for a simplified structural stress analysis
    (Elsevier Ltd, 2024-04) Mancini, Federica; Remes, Heikki; Romanoff, Jani; Marine and Arctic Technology; Department of Mechanical Engineering
    To reduce the weight of cruise ships, the shipbuilding industry is interested in thin-walled superstructures, where the thickness of butt-welded plates in stiffened panels is under 5 mm. Compared to thick plates, thin ones can develop severe welding-induced distortions, which limit the validity of recommended early-design structural stress assessment methods. Therefore, computationally costly 3D non-linear numerical analysis must be used. For a quick and effective early design, this paper investigates on simplified computational models for thin-walled panels under uni-axial tension, considering the distortions measured on 4 -mm thick, full-scale ship-deck panels. A 2D simply-supported analytical plate is shown to be sufficiently accurate (i.e., error ) at 150 MPa for a distortion with maximum slope within 0.02 rad and amplitude smaller than the thickness (). Moreover, a 1D beam numerical analysis efficiently predicts local stresses around the butt weld when the maximum distortion amplitude is below mm. The distortion needs to be considered at least up to a length of half of the plate width from the weld location and can represent longitudinal profiles within 60% of the plate width. In conclusion, the early structural stress assessment of thin-walled panels can be significantly simplified, thus helping bridge the gap between complex numerical analysis and simplified analytical solutions.
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    Goal-based Ship Design Towards Safe and Sustainable Shipping in Ice-Covered Waters
    (Elsevier, 2023) Kujala, Pentti; Bergström, Martin; Hirdaris, Spyros; Department of Mechanical Engineering; Aalto University
    Maritime activity in the Arctic is on the increase, driven by the extraction of natural resources, trans-Arctic shipping, and tourism. To manage the risks to humans and the polar environment, in 2017 the IMO enforced the International Code for Ships Operating in Polar Waters (Polar Code). The safety provisions of this Code are fundamentally goal-based, allowing designers to deviate from established prescriptive safety rules, facilitating design optimization and innovation. However, to enable goal-based design, ship designers need relevant and validated design tools. In this paper, we present examples of such tools, namely (a) accident statistics, (b) a framework for risk-based design of Arctic ships, (c) a simulation model of a winter navigation system, and (d) a sustainability assessment tool for Arctic shipping. The results are based on three different European Union funded research projects (SEDNA, WINMOS I/II), as well as on the Lloyd's Register Foundation funded project CEPOLAR.
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    Intermediaries as drivers of innovation development in resource-constrained environments : Insights from the Kenyan water sector
    (Elsevier Science, 2024-03) Hyvärinen, Anne M.J.; Keskinen, Marko; Levänen, Jarkko; Water and Environmental Eng.; Department of Built Environment; LUT University
    Innovations as a solution for sustainability and development challenges are increasingly attracting the attention of academia and practitioners, and collaboration between different actors is seen as a requirement for successful innovation development. In this article, we study innovation intermediaries in resource-constrained environments through a case study of the Kenyan water sector. To understand how intermediaries operate in these environments, we developed an analytical framework to identify the key functions offered by intermediaries at different stages of the innovation process. We identified three intermediary dimensions, recognising that most of the studied intermediaries provide support for the commercialisation of innovations, while far fewer focus on the earlier stages of the process, which hinders the systematic tackling of constraints. However, due to the intermediaries’ past involvement with institutional development, capacity building and overall regional development, they can efficiently mitigate the prevailing constraints and institutional voids. Further, we found that the intermediaries function as hybrid organisations as they adopt new roles and combine different operational logics to support innovators in addition to their more traditional roles in the development sector. Innovation intermediaries thus play a significant role in enabling innovation and sustainable development in resource-constrained environments.
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    Simplified Simulation Method of Diffusers for Indoor Non-Uniform Temperature Distribution : A Case Study in Shanghai
    (MDPI AG, 2024-01) Li, Yuming; Pan, Yiqun; Huang, Zhizhong; Liang, Yumin; Yuan, Xiaolei; Tongji University; The University of Hong Kong; Department of Mechanical Engineering; Department of Mechanical Engineering
    The specific air jet of a diffuser is formed by the complex internal structure, which affects the outlet airflow distribution of the diffuser directly and the indoor environment distribution indirectly. If the diffusers are developed based on their actual geometry structure and their boundary conditions are set as their inlet flowrate, the simulated indoor temperature distribution will be more accurate. However, it is noted that many problems may arise, such as model complexity, many grid cells, and slow convergence of calculations. Therefore, this paper focuses on a simplified method for four-way square diffusers in a computational fluid dynamics (CFD) simulation of indoor non-uniform temperature distribution. Firstly, the airflow distribution is simulated on the outlet air supply cross-section of the diffuser. Then, according to the outflow characteristics of the diffuser, the diffuser model is simplified and simulated in an experimental room. Finally, the temperature distribution at the 1.2 m height plane is obtained from CFD simulation and compared with the experimental results. The results show that the 68-point air supply opening model can well simulate the effects of the outlet airflow distribution of the diffuser, and the simulated indoor temperature distribution meets the experiment results well. The deviations for three scenarios are between −7.4~1.7% and the average deviation is −3.0%, while the root mean square error of temperature for three scenarios is 0.7 °C, 0.7 °C, and 1.0 °C, respectively. The results also demonstrate the mutual influence of the airflow from different diffusers and the indoor non-uniform temperature distribution under the action of multiple diffusers. The proposed method can contribute to balancing the model complexity and the accuracy in CFD simulation, especially for multiple diffusers in the room.
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    Artificial intelligence approach for linking competences in nuclear field
    (Korean Nuclear Society, 2024-01) Kuo, Vincent; Filz, Günther H.; Leveinen, Jussi; Department of Civil Engineering; Department of Architecture; Department of Civil Engineering; Department of Architecture
    Bridging traditional experts’ disciplinary boundaries is important for nuclear knowledge management systems. However, expert competences are often described in unstructured texts and require substantial human effort to link related competences across disciplines. The purpose of this research is to develop and evaluate a natural language processing approach, based on Latent Semantic Analysis, to enable the automatic linking of related competences across different disciplines and communities of practice. With datasets of unstructured texts as input training data, our results show that the algorithm can readily identify nuclear domain-specific semantic links between words and concepts. We discuss how our results can be utilized to generate a quantitative network of links between competences across disciplines, thus acting as an enabler for identifying and bridging communities of practice, in nuclear and beyond.
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    Lukes and power : Three dimensions and three criticisms
    (2023-05-16) Mäntysalo, Raine; Department of Built Environment; Department of Built Environment
    The chapter presents Stephen Lukes’ influential theory of power, as outlined in his book Power - A Radical View (1974) and its extended revision (2005), and reviews critical debates around it. The uses of Lukes’ theory in planning research are discussed, as well as insights to be drawn in the field from both the theory and its criticisms. In his approach to power, Lukes draws on the behaviourist tradition, building especially on the work of Dahl, and Bachrach and Baratz, while discussing critically their limitations and expanding on their work. Through this dialogue Lukes develops his three-dimensional theory of power. The criticisms of his theory concentrate especially on the objectivism of his concept of ‘real interests’, actor orientation neglecting structural power, and the narrowness of viewing power as domination. To gain a broader view of power, complementary approaches are needed. As such an approach, Bateson’s theory of power and especially his concept of ‘double bind’ are discussed.
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    Geometrically nonlinear behaviour of actively twisted and bent plywood
    (Elsevier BV, 2024-03-01) Elmas, Serenay; Jaaranen, Joonas; Markou, Athanasios A.; Filz, Günther H.; Koponen, Simo; Department of Civil Engineering; Department of Architecture; UPM; Department of Civil Engineering; Department of Architecture
    The current work aims to investigate the geometrically nonlinear behaviour of flexible plywood strips that undergo large displacements during the formation process of a structural element. Such deformations allow bending-active structures to reach curved geometries from initially planar elements. As our literature review points out, firstly, twist for plywood materials is not well studied, and secondly, the detailed determination of the stress state after the formation process of such structures, is usually oversimplified or even ignored. To this end, a finite element model using laminated shell theory is employed and calibrated against experimental data retrieved from physical prototypes, by paying particular attention in the accurate tuning of its boundary conditions. Furthermore, destructive tensile tests of twisted strips were implemented and their ultimate strength was compared with the numerical model. Our aim is to explore the material's stress state during the strip's 90°twist coupled with bending in two different directions, which is crucial for understanding the strip's further behaviour as a structural element. In addition, we conduct parametric studies to showcase the non-negligible impact of geometric aspects on stress distribution along the strip. The results show that the utilisation ratios, using the Tsai–Hill failure criterion in terms of strength, for the case of the constructed beam element, are quite uniform throughout the strip and below 50%, apart from local stress concentrations. Finally, the parametric studies highlight the need to comprehend the material response to inform geometry within a structurally sound environment in order to unlock new possibilities for using thin plywood strips in lightweight structural and architectural applications, as demonstrated by the built beam elements.
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    Droplet supercooling in marine icing tests
    (Elsevier, 2024-03) Puolakka, O.; Department of Mechanical Engineering; Department of Mechanical Engineering
    Droplet supercooling in marine icing tests is studied theoretically using established correlations for convection and evaporation. The effect of freestream turbulence on heat and mass transfer is included through an empirical modification to the Nusselt and Sherwood numbers. Droplets are shown to cool following a modified exponential decay, with the trajectory length and shape determined by a thermal mixing length and a cooling exponent. The space needed for supercooling is shown to increase with (droplet diameter)1.8, and also depend on wind speed, injection speed and ambient temperature. Turbulence at realistic offshore levels shortens cooling distances by up to 50%. A reanalysis shows that previous marine icing tests have typically reached supercooling higher than 80% of cooling potential for small droplets up to 100–200 μm, and possibly up to 300–400 μm in long setups at low wind speeds if boosted by turbulence or a contracting tunnel; larger droplets have been significantly undercooled compared to field conditions.
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    Synthesis and efficiency comparison of reed straw-based biochar as a mesoporous adsorbent for ionic dyes removal
    (Elsevier, 2024-01-30) Tomin, Oleksii; Vahala, Riku; Yazdani, Maryam R.; Water and Environmental Eng.; Department of Mechanical Engineering; Department of Built Environment; Department of Mechanical Engineering
    The reed straw is assessed as a potential source of widely available renewable biomass for biochar production and compared with two other waste-based biomasses, namely fruit stones blend, and brewery spent grains. The biochars were activated via steam and CO2. While steam activation yielded 12 % carbon from reed biomass, CO2 activation resulted in biomass degradation. The characterization of reed biochar showed a mesoporous structure and a high surface area of 514 m2/g. The adsorption tests displayed a decent adsorption capacity of biochar, with values of 92.6 mg/g for methylene violet dye and 35.7 mg/g for acid green dye. Only 1 g/L dosage of reed biochar was able to remove 99 % of the 50 mg/L methylene violet solution in 15 min and 60 % of the 50 mg/L acid green solution in 10 min. The obtained results demonstrate reed biomass as a suitable source for biochar production as well as reed-based biochar as a promising dye adsorbent.
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    Patterns and drivers for benthic algal biomass in sub-Arctic mountain ponds
    (Springer, 2024-02) Heikkinen, Janne M.; Niittynen, Pekka; Soininen, Janne; Pajunen, Virpi; University of Helsinki; University of Jyväskylä; Department of Built Environment; Department of Built Environment
    This study investigated the spatial variation in total benthic algal biomass and within cyanobacteria, green algae, and diatoms in sub-Arctic ponds. Additionally to more widely used explanatory variables, snowmelt and ice duration were considered as their importance on algal communities is poorly understood. The data comprised algal biomasses from 45 sub-Arctic ponds in the Finnish Lapland. A generalized linear model and hierarchical partitioning were used to identify the significantly influential variables. Cyanobacteria were the most abundant algal group. Trace elements (e.g. Fe, Al, and Mn) were the most significant explanatory variable group in explaining algal biomasses. Macronutrients apart from K were found insignificant in all models. There were positive relationships between some algal biomasses indicating no strong competition between them. Snow and ice variables were found insignificant for all models, but they could have an important secondary role on algal communities. The results highlight the importance of trace elements in shaping algal biomasses in sub-Arctic ponds and thus their wider use in research can be advocated to better understand the productivity of nutrient poor and acidic waters in sub-Arctic regions. Focussing on benthic algal biomasses and the chemical composition of sub-Arctic freshwaters provides important information on the aquatic primary production.
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    A sustainable nano-hybrid system of laccase@M-MWCNTs for multifunctional PAHs and PhACs removal from water, wastewater, and lake water
    (Academic Press, 2024-04-01) Grmasha, Ruqayah Ali; Al-sareji, Osamah J.; Meiczinger, Mónika; Stenger-Kovács, Csilla; Al-Juboori, Raed A.; Jakab, Miklós; Lengyel, Edina; Somogyi, Viola; Khan, Mohammad Amir; Hashim, Khalid S.; University of Pannonia; Department of Built Environment; Galgotia College of Engineering; Liverpool John Moores University; Department of Built Environment
    This study examined the use of modified multiwall carbon nanotubes (M-MWCNTs) with immobilized laccase (L@M-MWCNTs) for removing ciprofloxacin (Cip), carbamazepine (Cbz), diclofenac (Dcf), benzo[a]pyrene (Bap), and anthracene (Ant) from different water samples. The synthesized materials were characterized using an array of advanced analytical techniques. The physical immobilization of laccase onto M-MWCNTs was confirmed through Scanning electron microscope (SEM)-dispersive X-ray spectroscopy (EDS) analysis and Brunner-Emmet-Teller (BET) surface area measurements. The specific surface area of M-MWCNTs decreased by 65% upon laccase immobilization. There was also an increase in nitrogen content seen by EDS analysis asserting successful immobilization. The results of Boehm titration and Fourier transform infrared (FTIR) exhibited an increase in acidic functional groups after laccase immobilization. L@M-MWCNTs storage for two months maintained 77.8%, 61.6%, and 57.6% of its initial activity for 4 °C, 25 °C, and 35°C, respectively. In contrast, the free laccase exhibited 55.3%, 37.5%, and 23.5% of its initial activity at 4 °C, 25 °C, and 35 °C, respectively. MWCNTs improved storability and widened the working temperature range of laccase. The optimum removal conditions of studied pollutants were pH 5, 25 °C, and 1.6 g/L of M-MWCNTs. These parameters led to >90% removal of the targeted pollutants for four treatment cycles of both synthetic water and spiked lake water. L@M-MWCNTs demonstrated consistent removal of >90% for up to five cycles even with spiked wastewater. The adsorption was endothermic and followed Langmuir isotherm. Oxidation, dehydrogenation, hydroxylation, and ring cleavage seem to be the dominant degradation mechanisms.
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    Beyond the Blind Spot: Enhancing Polyphony Through City Planning Activism Using Public Participation GIS
    (Cogitatio Press, 2024) Harsia, Eveliina; Nummi, Pilvi; Planning and Transportation; Department of Built Environment
    A key advantage of public participation GIS (PPGIS) tools has been seen as increasing the polyphony of urban planning by reaching the wisdom of crowds. However, the challenge is to enable participation for those who do not have the skills or resources. This article describes participatory action research where the authors of the article collaborated with a local city planning activist at the Kontula Mall, Helsinki (Finland) to improve the participation of a group marginalized from the renewal process (i.e., immigrant entrepreneurs) using a PPGIS tool (Maptionnaire). The case study provided insights into the potential for city planning activism to bring out marginalized groups’ perspectives and use PPGIS. Moreover, the research also revealed barriers to polyphony in current planning practices. Nevertheless, planning activism can enable the participation of the marginalized by coming into contact with them, providing them with information, and bringing their perspectives to the collaboration. The PPGIS tool canserve as a platform to collect participatory data through different response modes. Local activism can also facilitate the questionnaire’s co-design, testing, and marketing. Therefore, a bottom-up approach can be a way to improve the impact of PPGIS and enhance polyphony in urban planning.
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    Landscape and domains of possible future threats from a societal point of view
    (Wiley-Blackwell, 2024-03) Tähtinen, Lassi; Toivonen, Saija; Rashidfarokhi, Anahita; Real Estate; Department of Built Environment
    We are currently amid multiple interconnected and complex crises within the different dimensions of our society—a polycrisis, and the future promises even greater complexity in terms of threats. However, the existing crisis typologies and crisis identification often have an introspective organisational focus and tend to concentrate on a limited set of historically known threats. This study takes an exploratory, futures studies-based approach with a broader societal perspective. Through environmental scanning using 1714 literature sources and consultations with 54 experts, we have identified 153 potential future crises spanning various societal domains. We utilize the PESTLE framework to outline the possible emergence of these crises. Our findings reveal a considerably larger number of potential crisis phenomena than previously proposed, aiming for objective sensemaking of the complex crisis landscape. The results also demonstrate crises vary in their temporal development, albeit evaluating this is challenging. This study challenges the prevalent myopic and subjective prioritisation-based crisis identification and provides a comprehensive yet comprehensible list of possible future crises. In the current context of siloed decision-making structures, both public and private organisations can use this list to enhance their future-oriented preparedness and assess their responsibilities in managing these crises, as well as identifying necessary stakeholders.
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    A sustainable and highly efficient fossil-free carbon from olive stones for emerging contaminants removal from different water matrices
    (Elsevier Ltd, 2024-03) Al-sareji, Osamah J.; Grmasha, Ruqayah Ali; Meiczinger, Mónika; Al-Juboori, Raed A.; Somogyi, Viola; Stenger-Kovács, Csilla; Hashim, Khalid S.; University of Pannonia; Department of Built Environment; Liverpool John Moores University; Department of Built Environment
    The olive stone is a large waste product of the olive oil extraction industry. The present study investigates developing activated carbon from olive stone waste (OSAC) to remove pharmaceuticals from water. Different temperatures and olive stone: KOH ratios were studied. The OSAC produced at 750 °C and 1:3 ratio was found to have the highest porosity and surface area and was tested in the adsorption process. Diclofenac and ciprofloxacin were selected as model contaminants. The adsorption process was optimized with regards to OSAC dosage, pH, temperature, and initial concentration of adsorbate. The OSAC was found to be effective for a wide pH range (2–11) with an optimum dosage of 1 g/L at 25 °C. The pharmaceuticals were almost completely removed in 75 min. The adsorption was endothermic and followed first-order kinetics with physical mechanisms such as electrostatic possibly being the main driver. The optimum conditions were applied to test the removal of diclofenac and ciprofloxacin in synthetic water, lake water (Lake Balaton, Hungary) and secondary wastewater for seven cycles. There was little difference between the removal of the tested water matrices highlighting the potency of OSAC as an adsorbent for pharmaceutical removal in industrial applications. The removal dropped from >99% for the first cycle to 20–30% for the seventh cycle.