Search Results (885)

Increasing domestic sewage production associated with urban population growth poses environmental challenges. Biosolids from wastewater treatment can recycle nutrients in agriculture, while plant growth-promoting rhizobacteria (PGPR) enhance nutrient availability and plant performance. This study evaluated the effects of the combined application of sewage sludge–derived biosolid and Bacillus aryabhattai on sunflower growth, biomass production, physiological traits, and nutrient status during the early growth stage under greenhouse conditions. We hypothesized that this combined treatment would enhance plant performance compared with biosolid application alone. Four treatments were established: control (T1), 5 g of biosolid alone (T2), 5 g biosolid + 3.2 mL B. aryabhattai (T3), and 5 g biosolid + 6.4 mL B. aryabhattai (T4). The formulation contains B. aryabhattai strain CMAA 1363 (1 × 10${}^8$ CFU mL${}^{-1}$) as the active microbial component, together with humic substances and other formulation agents (thickener, preservative, and water). The Plants were grown for 44 days. The data were analyzed using one-way ANOVA followed by mean comparison among treatments. Shoot dry mass was significantly higher in T4 compared with the T1 and T2 (p < 0.001), while no significant difference was observed between T3 and T4 (p > 0.05). Biosolid application increased the photosynthetic rate, and its combination with B. aryabhattai further enhanced photosynthetic performance, with significant difference detected between bacterial doses only at the end of growth period. Substomatal CO${}_2$ concentration was lower in inoculated treatments, indicating greater CO${}_2$ assimilation efficiency. Total chlorophyll increased with the addition of sludge and further increased by inoculation with 6.4 mL. Leaf N, Mn, and Zn contents were highest in T4. Overall, the combined application of biosolid and B. aryabhattai improved photosynthetic efficiency and biomass accumulation, highlighting the potential of integrating biosolids and beneficial rhizobacteria as a sustainable approach for nutrient recycling and improved crop productivity in agricultural systems. Full article

Photovoltaic (PV) systems are important for sustainable energy infrastructure, but their rapid deployment introduces complex fire dynamics that current regulations fail to address adequately. While existing standards focus on the electrical safety of individual components, they often neglect the risks arising from the interaction between the PV array and the building envelope. This review synthesizes current research on ignition mechanisms, thermal behavior, and the aerodynamic propagation of smoke to evaluate these overlooked hazards. A primary finding is that the interstitial space between the panel and the roof functions as a “heat trap,” significantly altering airflow patterns and accelerating flame spread even across fire-rated materials. The analysis further highlights that standard testing protocols do not sufficiently account for the urban dispersion of toxic combustion byproducts, such as hydrogen fluoride and volatile organic compounds. By evaluating recent advancements in Computational Fluid Dynamics (CFD) and helium-based surrogate testing, this paper demonstrates that accurate prediction of pollutant transport requires coupled modeling of wind effects and thermal buoyancy. The study concludes that ensuring urban fire resilience demands an evolution from component certification to integrated system assessments that include installation geometry, ventilation strategies, and environmental impact. Full article

Accurate and stable extrinsic calibration is the foundation of high-quality fusion sensing and positioning of camera and Light Detection and Ranging (LiDAR). However, traditional targetless calibration methods suffer from limitations such as poor scene adaptability and unstable convergence, which significantly restrict calibration accuracy and robustness in complex environments. Aiming at solving those problems, we propose an online cascade-optimization-based extrinsic calibration method of combining motion trajectory alignment and edge feature alignment. In the initial calibration stage, a hand–eye calibration algorithm is designed by minimizing the residual discrepancies between camera odometry and LiDAR odometry sequences. It establishes a robust initialization for subsequent optimization. Then, in order to extract robust edge line features from sparse point clouds, we employ depth difference and planar edges of point clouds in the optimization process. Subsequently, principal component analysis (PCA) is applied to compute the principal direction of the extracted line features, enabling a decoupled optimization scheme that accounts for directional observability. This approach effectively mitigates the adverse effects of uneven environmental feature distributions. Experimental validation on typical urban datasets demonstrates the method’s generalizability and competitive accuracy: rotational parameter errors are constrained within 0.25°, and translational errors are maintained below 0.05 m. This affirms the method’s suitability for high-accuracy engineering applications. Full article

This study aimed to evaluate the effects of adding sludge generated in water treatment plants on the composting of sewage sludge, urban organic waste, and agroindustrial waste. Four treatments were conducted with different proportions of water treatment plant sludge (WTS). Four treatments were conducted with 0%, 10%, 20%, and 30% proportions of WTS. The different proportions allowed for the evaluation of the effects of WTS addition on composting. The study was carried out in composting reactors. Kinetic models were applied to study the degradation of organic matter. Physicochemical and microbiological parameters were analyzed. During the process, temperature variation and basal respiration exhibited similar patterns. Principal component analysis showed that the 30WTS (32.2% water treatment sludge) treatment presented higher values of cation exchange capacity (CEC)/total organic carbon (TOC) ratio (3.83), and germination index (94.35%), and lower values of TOC (23.67%) and C/N (carbon/nitrogen) ratio (14.45). The composts produced in all treatments complied with Brazilian regulations for the environmental and agronomic quality of organic composts. It was concluded that the inclusion of up to 30% of WTS in composting did not negatively affect the composting process and did not compromise the environmental or agronomic quality of the final organic composts. Full article

The climate crisis exposes the inadequacy of modern urban paradigms grounded in the separation between nature and built form. In response, this paper reframes streetscapes as architectural and urban spaces where ecological performance and spatial composition are conceived as mutually constitutive. Rather than treating Nature-Based Solutions (NBS) as isolated techno-performative devices, the research interprets them as design components capable of shaping section, threshold, and relational depth within the street. Building on two European-funded research projects, the ClimaScapes research—which unfolds into the Climate-Adaptive Nature-Based Urban Regeneration (CANBUR) Framework—through the different phases of Research about Design, Research by Design and Research for Design, thus develops the design-driven Operational Methodology. The paper, repositioning streetscapes as strategic fields for urban and architectural design, presents (i) the tools developed within it and (ii) its application inside a neighborhood of Matera (Italy). The findings demonstrate that integrating NBS within coherent spatial configurations enables a shift from environmental optimization toward architectural composition, offering a transferable yet context-sensitive methodology for climate-adaptive regeneration in Euro-Mediterranean and comparable urban contexts. This approach suggests streetscapes evolve into resilient, climate-adaptive urban commons, reinforcing community ties, ecological sustainability, and the broader goal of future-proof cities. Full article

Urban micromobility systems are increasingly deployed to support sustainable transportation goals; however, their overall sustainability performance remains inconsistently assessed across environmental, social, economic, and operational dimensions. This study proposes a conceptual framework for evaluating the sustainability of urban micromobility systems, with a particular focus on e-scooters. It clarifies and restructures fragmented indicators into distinct, non-overlapping sustainability dimensions. The framework is structured around five impact areas: Environment, Economy, Users, Transport Performance, and Safety, complemented by two enabling components, namely the legal framework and business model, which are conceptualized as preconditions for system feasibility rather than performance dimensions. Building on existing sustainability assessment literature, the framework consolidates established indicators while introducing micromobility-adapted and context-specific indicators, such as service availability and operational characteristics, to better capture the distinctive features of shared micromobility systems. The resulting framework provides a structured and flexible tool for researchers, planners, and policymakers, emphasizing that micromobility sustainability depends not only on measured impacts, but also on governance, operational design, and local implementation conditions. Full article

Urban transportation systems face increasing sustainability challenges due to the dominance of private-car use, particularly for short-distance trips. This study investigates the potential of micromobility to replace private-car travel on short-distance journeys and evaluates the resulting impacts on urban transportation networks and environmental sustainability. The analysis focuses on the Bornova district of Izmir and is based on a face-to-face survey conducted with 502 private-vehicle users. Survey data were analyzed using descriptive statistics, chi-square tests and a binary logit regression model to identify factors influencing the willingness to adopt micromobility. Within the surveyed sample of private-car users, modal-shift rates were estimated as 35% for trips up to 5 km and 33% for trips between 5 and 10 km. These rates were applied to the private-car demand and distance matrices developed for the year 2030 within the scope of the Izmir Transportation Master Plan, resulting in a revised private-car demand matrix and a separate demand matrix representing potential micromobility users. Network assignments were performed in the PTV VISUM modeling environment. Assignment results demonstrate notable network-level changes following micromobility integration. The total length of road segments with micromobility traffic volumes exceeding a threshold of 10 veh/h was calculated at 292.5 km. Environmental impacts were evaluated using a life-cycle assessment (LCA) framework, revealing an approximate 5.5% reduction in total life-cycle CO₂ emissions. Overall, the findings provide quantitative evidence supporting micromobility as an effective component of sustainable urban transport strategies and offer guidance for local governments in infrastructure planning and policy development. Full article

Sustainable water use behavior in households is a crucial component in facing the impacts of climate change on water conditions, especially in urban areas and their surroundings in countries like Indonesia. This study examines household water use behavior in urban and peri-urban areas of Surabaya and Sidoarjo in Indonesia by integrating environmental spatial characteristics and using psycho-social factors. This research methodology includes statistical analysis with the aim of examining the variable in relation to household water behavior and then integrating with spatial analysis using nearest neighborhood analyses and spatial overlay with land use/land cover (LULC) and Urban Heat Island (UHI) data, doing so to identify behavioral clustering patterns and assess spatial risk distribution. The results suggest that there is generally positive orientation toward sustainable household water use among respondents. Households in peri-urban areas show better water management behavior than those in urban areas. The implications of spatial risk in urban areas are higher due to poor behavior facing high environmental pressures. On the other hand, when overlaid with clusters of well-behaved respondents, the risk of water shortages decreases, supporting climate change mitigation efforts. Full article

In the context of rapid urbanization, pocket parks have become an important component of urban green infrastructure, supporting residents’ daily recreation, health, and well-being. However, existing pocket park designs are largely shaped by adult designers’ perspectives, with children’s needs often inferred or assumed rather than directly investigated. From a sustainability and health-oriented perspective, this study aims to enhance the functionality and user satisfaction of pocket parks by incorporating child-friendly design elements grounded in actual user demands. Based on the KANO model—an approach used to classify user requirements according to their influence on satisfaction—and Quality Function Deployment (QFD), questionnaire data were collected from 97 children aged 6–12 and 87 parents through field investigations in multiple pocket parks in Nanjing, China. The analysis focused on key dimensions including safety, fun, comfort, and multifunctionality. The results revealed clear differences between children’s and parents’ requirements. Children’s satisfaction is mainly influenced by diverse play spaces and opportunities for interaction with natural elements, while parents place greater emphasis on environmental comfort and facility practicality. Safety was identified as a critical factor for children, whereas social interaction functions were considered relatively less important by both groups. Based on these findings, this study identifies key design priorities for child-friendly pocket parks and provides practical strategies to improve overall park quality and user satisfaction, contributing to healthier and more socially sustainable urban environments. Full article

Electric vehicles (EVs) have emerged as a vital component of sustainable urban mobility. In this life cycle assessment, the GREET model (Greenhouse Gases, Regulated Emissions, and Energy Use in Technologies) is used to compare three EV scenarios for Washington, DC, the capital of the United States. We compare these three scenarios to a 2022 baseline scenario that describes the current state of EV utilization in Washington, DC. The three future scenarios we examine are based on policy assumptions that differ in the extent to which they integrate renewable energy into the EV future of Washington, DC. Our findings suggest a significant decrease in greenhouse gases between 52 and 66 percent by 2050 and a similar decline in other air-pollutants associated with all three future scenarios. This confirms the advantages of EVs for urban air quality. However, two important aspects of the analysis suggest that there is (1) the threat of emissions leakage associated with electricity imports into DC, which complicates the overall assessment of local environmental benefits; and (2) an increase in non-exhaust emissions of particulate matter attributable to tire and brake wear. These emissions cannot be removed through electrification and tend to increase due to the increased weight of EVs. Our analysis shows that the full capabilities of electric vehicles can best be realized through grid decarbonatization. Achieving genuine sustainable mobility therefore requires complementary strategies that address transboundary emissions and vehicle-specific non-exhaust particulates. Full article

Urban green space (UGS) is a critical component of sustainable cities and a modifiable determinant of mental health (MH). This review synthesizes 93 empirical studies and 929 bibliometric records to map theoretical advances, methodological evolution, and governance implications in the UGS–MH field. We integrate the following six validated pathways into a unified socio-ecological framework: attention restoration, stress recovery, behavioral activation, physiological regulation, social cohesion, and environmental buffering. Methodological trends indicate a shift from static greenness proxies to street-view and multimodal exposure measures, and from cross-sectional correlations to models that address spatial heterogeneity, causal identification, and AI-enabled prediction. Bibliometric mapping reveals increasing interdisciplinarity, geographic diversification, and growing attention to dynamic exposure science. Persistent challenges include spatial and temporal misalignment between exposure and outcome measures, reliance on single-modality indicators, limited causal inference, and constrained cross-cultural generalizability. Building on these findings, we propose a governance-oriented framework to support sustainable and healthy cities through equitable green access, behavior-informed planning, nature-based interventions, and data-driven decision support. Overall, this review strengthens the bridge from evidence to action at the interface of urban sustainability and population mental health. Full article

Vertical greenery systems (VGS), including vertical gardens (VG) and green façades (GF), are increasingly promoted as nature-based solutions for sustainable urban development. Despite their environmental benefits, economic evaluation remains fragmented, particularly within a life-cycle cost (LCC) perspective. This study conducts a systematic literature review to examine the structural configuration of cost-related research on VGS within an LCC framework. Following the PRISMA protocol, 136 peer-reviewed articles published between 2021 and 2025 were identified through a structured search of the ScienceDirect database and retained as the analytical dataset. Bibliometric mapping, thematic classification, and co-occurrence analysis were applied to assess publication patterns, the distribution of cost components, and reporting structures. Five principal cost categories were identified: Installation and Operation, Maintenance, Consumables, Materials and Manufacturing, and Design. The results reveal a pronounced concentration on installation and maintenance costs, while design-phase economics and comprehensive LCC integration remain marginal. Most studies address only one or two cost categories, indicating structural fragmentation. In addition, heterogeneous reporting units and inconsistent contextual descriptors constrain cross-study comparability and cumulative synthesis. Collectively, the findings demonstrate that although cost research on VGS is expanding, it has not yet achieved methodological maturity within a standardized LCC framework. Advancing harmonized cost-reporting protocols and integrated life-cycle modeling is therefore essential to support robust economic evaluation and informed implementation of VGS in sustainable built environments. Full article

Urban air quality is a key component of environmental sustainability and public health in large metropolitan areas. Following the substantial but temporary improvements in air quality observed during the COVID-19 lockdowns, it remains unclear whether structural changes in urban air pollution have persisted in the post-pandemic period. This study analyzes the temporal dynamics of major atmospheric pollutants in Mexico City between 2021 and 2024, including CO, NO₂, NO_x, O₃, PM₁₀, PM_2.5, and SO₂, using hourly data from the Mexico City Atmospheric Monitoring System (SIMAT). Annual and monthly median concentrations were computed to reduce the influence of extreme values and short-term pollution episodes. Station-level monotonic trends were evaluated using the non-parametric Mann–Kendall test, complemented by the use of Sen’s slope estimator to quantify the magnitude and direction of change. Absolute and relative changes between 2021 and 2024 were also analyzed to capture incremental variations not reflected by trend significance tests and performed together with hourly monthly analyses to characterize diurnal and seasonal patterns. Results indicate that no statistically significant monotonic trends were detected for any pollutant across the analyzed stations (p > 0.05), suggesting an overall stabilization of air quality levels during the post-pandemic period. Nevertheless, moderate increases in annual median concentrations were observed at specific locations, particularly for PM₁₀, PM_2.5, NO₂, and NO_x, with relative changes ranging from approximately 5% to 35%. Persistent diurnal and seasonal patterns were identified, closely associated with traffic activity, photochemical processes, and meteorological conditions. These findings suggest that, although no robust long-term trends are evident, incremental increases and stable temporal structures remain relevant from a sustainability perspective. Continued monitoring and targeted air quality management strategies are therefore necessary to support long-term urban environmental sustainability. Full article

Sewerage systems are among the most fundamental and indispensable components of urban infrastructure. However, inadequate management can result in malfunctions and subsequent rehabilitation processes, leading to various negative consequences. Identifying areas at high risk of failure and conducting system-based inspections can significantly improve the performance of sewer networks. This study identified and categorized 33 criteria that could cause sewer system failures: structural, operational, hydraulic and environmental defects. A Bayesian network (BN) model was developed to determine dependencies between the criteria, quantify uncertainty, investigate new information about the structural condition of assets and calculate the effects and sensitivities of the criteria on the probability of failure. A probability-based risk assessment model was then created using a fuzzy inference system (FIS) to predict risk levels in sewerage systems under different combinations of physical and operational conditions and hydraulic and environmental effects. A case study was performed on a sewer network in Malatya, Turkey, determining its failure probability to be 76.6%, placing it in the high-risk category. When the probability of pipe failure was set to 100% in the Bayesian network model to evaluate the relative influence of different criteria, the most influential factors were identified as flow velocity (74.8%), clogging (71.4%), and failure rate (71.1%). Thanks to the flexible structure of BNs, the proposed model is expected to be useful for performing risk analyses in systems involving uncertainty or missing data. It can also be used to prioritize rehabilitation, inspection and maintenance programs, improve infrastructure service quality and ensure system reliability in urban sewerage systems. Full article

Urban riverfronts, as integral components of the urban built environment, serve as essential blue–green infrastructure that offers restorative opportunities to residents in high-density areas. However, the mechanisms through which specific spatial qualities influence well-being outcomes remain underexplored. Guided by Attention Restoration Theory (ART) and Stress Recovery Theory (SRT), this study investigates the associations among spatial perception, perceived restorativeness, environmental sensitivity, and subjective well-being along the Yangtze Riverfront in Nanjing, China. A cross-sectional survey (N = 551) was conducted across six riverfront segments, using a 96-item questionnaire to assess five spatial perception dimensions, four restorativeness dimensions, and four well-being dimensions. Structural equation modeling (SEM) results indicate that spatial perception is positively associated with perceived restorativeness (β = 0.320, p < 0.001), with aesthetic perception demonstrating the strongest relative contribution (β = 0.265). Perceived restorativeness, in turn, significantly contributes to well-being (β = 0.540, p < 0.001), partially mediating the relationship between spatial perception and well-being (indirect effect (β = 0.173; 41.69% of total effect). Notably, environmental sensitivity moderated the spatial–restorative link (β = 0.799, p < 0.001), with restorative benefits being significantly amplified for individuals with higher sensitivity. These findings highlight aesthetics, accessibility, and perceived safety as priority targets for urban design. This study offers actionable insights for optimizing riverfront landscapes as vital urban health resources. Full article