Search Results (187)

Innovation has become a pivotal factor in driving economic growth for cities and regions. Urban innovation spaces are urban spaces where innovative economic and industrial activities, such as research, teaching, and high-tech manufacturing, are clustered. They have become hot research topics in recent years. Evaluating the performance of urban innovation spaces to promote rational resource allocation and enhance land development potential has become a critical task in urban planning. However, existing studies suffer from insufficient depth of research scales and a lack of quantitative indicators and data analysis. In response to the above gaps, this study constructed a framework for evaluating the performance of urban innovation spaces from 25 indicators of five major types, including core elements of innovation, entrepreneurship support institutions, service facilities, external environments, and diversities, aiming to quantify the performance heterogeneity of innovation spaces at the micro scale. This study took Harbin as an example and employed the entropy, kernel density estimation, and entropy-weighted TOPSIS methods, identifying four high-scoring areas of innovation spaces—the Science and Technology Innovation City area, the High-tech Industrial Development area, the core area of the old city, and the Harbin Veterinary Research Institute area—which were divided into three types: the Entrepreneurial leading area, Environmental Support area, and Balanced Development area. Finally, this study analyzed the interaction between each indicator. It was found that the correlation between the core elements of innovation and the indicators of entrepreneurship support institutions was strong and had a high degree of importance. The correlation of different types of service facility indicators is quite different, and the external environment indicators and diversity indicators are mainly affected by other indicators, especially the core elements of innovation and entrepreneurship support institutions. This paper provides a valuable tool for the performance evaluation of urban innovation spaces for researchers and urban planning decision makers. Full article

Urban expansion in coastal areas involves infrastructure development, industrial growth, and mining activities. These coastal environments face various environmental and geological hazards that require geo-engineers to devise solutions. An integrated geophysical approach aims to address such complex challenges as sea level rise, sea water intrusion, shoreline erosion, landslides and previous anthropogenic activity in coastal settings. In this study, the proposed methodology involves the systematic application of geophysical methods (FDEM, 3D GPR, 3D ERT, seismic), starting with a broad-scale survey and then proceeding to a localized exploration, in order to identify lithostratigraphy, bedrock depth, sea water intrusion and detect anthropogenic buried features. The critical aspect is to leverage the unique strengths and limitations of each method within the coastal environment, so as to derive valuable insights for survey design (extension and orientation of measurements) and data interpretation. The coastal zone of Throrikos valley, Attica, Greece, serves as the test site of our geophysical investigation methodology. The planning of the geophysical survey included three phases: The application of frequency-domain electromagnetic (FDEM) and 3D ground penetrating radar (GPR) methods followed by a 3D electrical resistivity tomography (ERT) survey and finally, using the seismic refraction tomography (SRT) and multichannel analysis of surface waves (MASW). The FDEM method confirmed the geomorphological study findings by revealing the paleo-coastline, superficial layers of coarse material deposits and sea water preferential flow due to the presence of anthropogenic buried features. Subsequently, the 3D GPR survey was able to offer greater detail in detecting the remains of an old marble pier inland and top layer relief of coarse material deposits. The 3D ERT measurements, deployed in a U-shaped grid, successfully identified the anthropogenic feature, mapped sea water intrusion, and revealed possible impermeable formation connected to the bedrock. ERT results cannot clearly discriminate between limestone or deposits, as sea water intrusion lowers resistivity values in both formations. Finally, SRT, in combination with MASW, clearly resolves this dilemma identifying the lithostratigraphy and bedrock top relief. The findings provide critical input for engineering decisions related to foundation planning, construction feasibility, and preservation of coastal infrastructure. The methodology supports risk-informed design and sustainable development in areas with both natural and cultural heritage sensitivity. The applied approach aims to provide a complete information package to the modern engineer when faced with specific challenges in coastal settings. Full article

Water, an essential asset for life and growth, is under growing pressure due to climate change, overpopulation, pollution, and industrialization. At the same time, water distribution within cities relies on piping networks that are over 30 years old and thereby prone to leaks, cracking, and losses. Taking this into account, non-revenue water (i.e., water that is distributed to homes and facilities but not returning revenues) is estimated at almost 50%. To this end, intelligent water management via computational advanced tools is required in order to optimize water usage, to mitigate losses, and, more importantly, to ensure sustainability. To address this issue, a case study was developed in this paper, following a step-by-step methodology for the city of Heraklion, Greece, in order to introduce an intelligent water management system that integrates advanced technologies into the aging water distribution infrastructure. The first step involved the digitalization of the network’s spatial data using geographic information systems (GIS), aiming at enhancing the accuracy and accessibility of water asset mapping. This methodology allowed for the creation of a framework that formed a “digital twin”, facilitating real-time analysis and effective water management. Digital twins were developed upon real-time data, validated models, or a combination of the above in order to accurately capture, simulate, and predict the operation of the real system/process, such as water distribution networks. The next step involved the incorporation of a hydraulic simulation and modeling tool that was able to analyze and calculate accurate water flow parameters (e.g., velocity, flowrate), pressure distributions, and potential inefficiencies within the network (e.g., loss of mass balance in/out of the district metered areas). This combination provided a comprehensive overview of the water system’s functionality, fostering decision-making and operational adjustments. Lastly, automatic meter reading (AMR) devices could then provide real-time data on water consumption and pressure throughout the network. These smart water meters enabled continuous monitoring and recording of anomaly detections and allowed for enhanced control over water distribution. All of the above were implemented and depicted in a web-based environment that allows users to detect water meters, check water consumption within specific time-periods, and perform real-time simulations of the implemented water network. Full article

This study assesses the extent of heavy metals (HMs) contamination and the associated ecological risks in soils surrounding waste landfills at the former Boruta Dye Industry Plant in Zgierz, Poland. Soil samples were collected during two sampling campaigns (summer 2023 and winter 2024) from 13 locations. Concentrations of Cu, Ni, Zn, Pb, and Cd were measured, and contamination levels were evaluated using several indices: geoaccumulation index (I_geo), pollution index (PI), pollution load index (PLI), Nemerow integrated pollution index (NIPI), ecological risk factor for a single metal (E_rⁱ), index of potential ecological risk (ERI). The highest I_geo value (10.95) was recorded for Cu in the area of the old landfill, which had been in operation for 90 years. The average PI values were Cu—120.97, Pb—52.46, Cd—46.70, Zn—22.19, and Ni—5.38, indicating considerable (3 ≤ PI < 6) to high (PI ≥ 6) contamination levels. The NIPI values, in descending order, were Cu (2102.2) > Pb (270.7) > Zn (88.3) > Cd (62.8) > Ni (21.5), all reflecting high (NIPI >3) contamination levels. The highest PLI was 5.10, with all remaining values exceeding the contamination threshold (PLI >1). The E_rⁱ value for Cu reached 14,852.75, indicating an extremely high (E_rⁱ ≥ 320) ecological risk. The average ERI value across the study area was 1347.2, suggesting a severe (ERI ≥ 600) ecological threat. These findings confirm that the industrial landfills associated with the dye plant constitute a critical pollution hotspot. The results underscore the urgent need for ongoing environmental monitoring, risk mitigation, and site remediation to prevent further environmental degradation and potential contamination of nearby water bodies. Full article

This study integrates the analysis of surface temperature data with natural and anthropogenic factors closely related to the urban thermal environment in Nanjing from 2000 to 2020, exploring the spatiotemporal variation characteristics of the urban heat island effect and the interactive relationships among its influencing factors. The research findings are as follows: (1) Between 2000 and 2020, the urban heat island effect in Nanjing exhibited an expansion trend radiating from the city center to the periphery, with the heat island phenomenon primarily concentrated in the old urban areas characterized by developed commerce, industry, and dense populations. Surface temperatures gradually decreased from the city center to the suburbs, forming a distinct spatial distribution gradient. Both the standard deviation ellipse and the centroid of high-temperature areas showed a southward shift. (2) Significant differences in surface temperatures were observed across different land use types, with built-up areas and arable land maintaining relatively stable and higher surface temperatures, while water bodies and forests exhibited lower and stable surface temperatures. (3) Vegetation coverage, normalized water body index, elevation, dispersion, and the Shannon diversity index were negatively correlated with surface temperature, while the normalized difference bare land index, building index, dispersion index, and patch cohesion index were positively correlated with surface temperature. In Nanjing, the interactive effects of dual factors on the urban heat island effect were found to be greater than those of individual factors, with vegetation coverage identified as the most critical factor affecting surface temperature. Considering multidimensional factors together enhances the understanding of the spatial patterns and causes of the urban heat island effect, clarifies the interrelationships and degrees of influence among natural, socio-economic, and landscape pattern factors, and provides a scientific basis for improving the quality of the living environment in Nanjing. Full article

Industrial heritage has historical and cultural value and reuse potential. Urban industrialization has a significant social influence on place identity and emotional identity. Shougang Science Fiction Industrial Park (hereinafter referred to as “Shougang Park”) serves as one of the first pilot projects for the transformation of old industrial areas in China. This study examines Shougang Park through a spatial narrative lens, analyzing its industrial heritage via the “author-text-reader” framework. Research reveals the specific implications of the three dimensions and the connections behind them. The findings offer practical strategies for experiential tourism design and adaptive reuse planning, while establishing theoretical models applicable to global post-industrial heritage revitalization. Full article

The scientific literature and practice have demonstrated that the old linear economic model “extract—produce—use and throw away” is no longer sustainable due to the enormous accumulation of waste and the related production of CO₂. Consequently, there is a need to adopt more sustainable development systems that include recycling resources and producing goods derived from recycled material. The examined literature highlights that SMEs are the least likely to make technological or paradigm changes in favor of sustainable choices due to a lack of resources and managerial competencies. This study presents a mixed-method approach based on qualitative and quantitative analyses. The qualitative analysis aims to identify, in the Italian context, measures that encourage companies to reduce the use of plastics in favor of sustainable alternatives. The quantitative analysis, based on secondary data, aims to identify the characteristics of the firms that benefited from the aid identified in the previous analysis. Thus, this study may support corporate environmental sustainability strategies in Italy by identifying specific characteristics and profiles of those companies willing to obtain public incentives for the use of recycled materials in their business and production processes. The results show that small and micro-sized companies obtained most of the analyzed incentives (almost 76% in terms of number of applications), and the most affected areas by these measures are the agriculture and food industries. Therefore, economic incentives can improve sustainable performance for small and micro-sized enterprises in the wide agri-food sector, while the legislator must adopt different tools, such as bans, Extended Producer Responsibility (EPR), and sustainability reports for medium-large sized companies of other crucial industrial sectors such as construction and automotives. Full article

Inefficient land reuse has emerged as a critical pathway for the sustainable development of urban spaces. Efficient land development in megacities’ industrial heritage areas is heavily influenced by the influx of mass passenger flows from new subway stations. To address this issue, a dynamic passenger flow-oriented land use prediction model for subway stations was developed. This model iterates a simulation model for dynamic passenger flow based on tourists and residents with an artificial neural network for land use prediction. By enhancing the kappa coefficient to 0.86, the model accurately simulated pedestrian flow density from stations to streets. Experiments were conducted to predict inefficient land use scenarios, which were then compared with the current state in national industrial heritage areas. The results demonstrated that the AnyLogic-Markov-FLUS Coupled Model outperformed expert experience in objectively assessing dynamic passenger flow impacts on the carrying capacity of old city neighborhoods during peak and off-peak periods at subway stations. This model can assist in resilient urban space planning and decision-making regarding mixed land use. Full article

Mercury, a global pollutant with high biotoxicity, is widely distributed in soils, water bodies, and the atmosphere. Anthropogenic activities such as industrial emissions and coal combustion release large quantities of mercury into the environment, posing health risks to human populations. Strict implementation of the Minamata Convention and innovative remediation technologies can mitigate escalating environmental and public health risks. This study investigated the spatiotemporal dynamics of mercury in soils and atmosphere across four spatial scales (central city, county, township, and village) within the Changchun urban agglomeration, China. During spring, summer, and autumn of 2023, surface soil and atmospheric mercury concentrations (at 0 cm and 100 cm) were measured using LUMEX RA-915+ at 361 sites. Soil mercury exhibited seasonal variability, with a mean concentration of 46.2 µg/kg, showing peak values in spring and troughs in summer; concentrations decreased by 29.40% from spring to summer, followed by a 27.85% rebound in autumn. Spatially, soil mercury concentrations exhibited a core–periphery decreasing gradient (central city > county > township > village). Average concentrations at county, township, and village levels were 9.92%, 35.07%, and 42.11% lower, respectively, than those in the central city. Atmospheric mercury displayed seasonal variations; mean concentrations at 0 cm and 100 cm heights were 6.13 ng/m³ and 6.75 ng/m³, respectively, both peaking in summer. At 0 cm, summer concentrations increased by 35.61% compared to spring, then declined by 35.96% in autumn; at 100 cm, summer concentrations rose by 49.39% from spring and decreased by 31.08% in autumn. Atmospheric mercury at both heights decreased from the central city to the peripheries, with reductions of approximately 40% at 0 cm and 37–39% at 100 cm. Atmospheric mercury dynamics were significantly correlated with meteorological parameters such as temperature and humidity. Spatial autocorrelation analysis revealed scale-dependent clustering patterns: soil mercury Moran’s I ranked central city > county > village > township, while atmospheric mercury followed township > village > county > central city. Structural equation modeling demonstrated that different spatial scales had a significant negative effect on soil mercury concentrations, atmospheric mercury concentrations at 0 cm and 100 cm, and mercury and its compounds emissions. Organic matter content had a significant positive effect on soil mercury content. Temperature and humidity positively influenced near-surface atmospheric mercury. This multi-scale approach elucidates urban agglomeration mercury dynamics, highlighting core–periphery pollution gradients and seasonal patterns, thereby providing empirical evidence for regional mercury transport studies and providing a scientific foundation for future heavy metal management strategies. Full article

This study investigates the changes in population size, distribution, and habitat preferences of the Eurasian magpie Pica pica in Zielona Góra over 23 years, emphasising the effects of urbanisation and habitat transformation. A comprehensive survey conducted in 2022 identified 953 magpie pairs, with an average density of 8.8 pairs/km² across the current administrative boundaries of Zielona Góra (without forests), and 27.7 pairs/km² in strictly urbanised zones. The highest densities were observed in the old town (36.5 pairs/km²) and residential blocks (34.5 pairs/km²), while peripheral areas, like allotment gardens and industrial zones, showed significantly lower densities. The nests were predominantly located in coniferous trees, especially spruces, marking a shift from the previously favoured poplars. The mean nest height was 11.8 m, varying by habitat type, with the highest nests found in the old town and parks. Environmental factors, such as proximity to trash bins, water sources, and tall trees, were significant predictors of nest density and placement. These findings underscore the magpie’s adaptability to urban environments, influenced by the availability of anthropogenic resources, habitat structure, and surrounding urban features. Full article

In the context of land scarcity and high-density urban areas, the adaptive reuse of abandoned historical industrial buildings plays a critical role in achieving sustainable development goals. This study proposes a sustainability assessment framework for the adaptive reuse of industrial buildings as exhibition spaces within the context of high-density urban development, addressing multiple dimensions of sustainability, including the building’s physical structure, economic factors, environmental impact, social considerations, and governance. The framework consists of 55 design indexes, categorized into 15 subcategories and 5 main categories. We conducted a survey of experts with experience in high-density urban renewal design and implemented a weighting analysis to identify priority intervention measures for industrial building redevelopment in the era of urban stock. Finally, a fuzzy comprehensive evaluation was carried out on ten cases in Shenzhen where industrial buildings were converted into exhibition spaces over the past 12 years. The findings reveal the following: (1) “Reuse of old architectural spaces” is the most critical category to prioritize, and, at the indicator level, “adaptability and efficiency of building reuse”, “public participation in the renewal process”, “cooperative operation structures”, and “planning vision” are identified as the four key influencing factors. (2) The functional layout, historical value, and richness of public amenities in the transformed industrial buildings have a significant positive impact on the evaluation results, while the building’s construction time and floor area do not significantly affect public post-evaluation. (3) Younger and more highly educated groups tend to view the transformed exhibition spaces as tourist attractions, particularly expressing satisfaction with the repurposing of the Kinwei Brewery and OCAT B10 New Hall, and consider the adaptive reuse of industrial buildings to promote sustainable urban renewal (SUR). This study provides concrete policy recommendations and practical guidance for the adaptive reuse of both new and existing industrial buildings, contributing to the creation of sustainable urban environments. Full article

Background/Objective: Highly pathogenic avian influenza (HPAI) H5 subtype remains a significant menace to both the poultry industry and human public health. Biosecurity and mass vaccination of susceptible commercial poultry flocks are crucial to reduce the devastating economic loss and hinder the evolution of the virus. Methods: In this study, we developed a multivalent avian influenza virus (AIV) vaccine, including strains representing the HPAI 2.2.1.1., 2.2.1.2., and 2.3.4.4b clades circulating in Egypt and the Middle East. Specific pathogen-free (SPF) two-week-old chickens were vaccinated with a single vaccine shot and observed for four weeks post-vaccination before being challenged. The challenge experiment involved using one strain of HPAI H5N1 subtype clade 2.2.1.2 and two strains of HPAI H5N8 subtype clade 2.3.4.4b derived from chickens and ducks. To assess the vaccine’s potency and efficacy, the pre-challenge humoral immune response and post-challenge survival and virus shedding were evaluated. Results: All the vaccinated birds exhibited 100% seroconversion 2 weeks post-vaccination (2 WPV). In addition, protective antibody titers against each diagnostic antigen, i.e., 7.8 ± 1.8 (H5N1, clade 2.2.1.2), 10.0 ± 0.0 (H5N1, clade 2.2.1.1), and 7.5 ± 0.9 (H5N8, clade 2.3.4.4b) were detected 3 WPV. The vaccination achieved complete protection (100%) against all challenge viruses with no disease symptoms. The vaccinated birds exhibited a statistically significant reduction in oropharyngeal virus shedding 2 days post-challenge (DPC). Conclusions: This study illustrated that a single application of a multivalent genetic-matching whole AIV vaccine under laboratory conditions elicits adequate protection against the HPAI challenge, representing 2.2.1.2 and 2.3.4.4b clades. The developed vaccine has the potential to be a vaccine of choice against a broad range of HPAI in commercial flocks raised under field conditions in endemic areas. Full article

Industrial heritage tourism has been subject to increasing visitor interest, making Europe’s old factories, mines, and steelworks into attractive tourist installations. However, these facilities, like all other market players, impact the environment, and, therefore, their management should take into account achieving sustainable development goals. The purpose of this article is to identify key sustainability measures taken by public industrial heritage tourism facilities in Europe to protect the environment. This article discusses the results of a survey of administrators of public industrial heritage facilities in Europe. This research was carried out using the Computer Assisted Web Interview technique, sending a research questionnaire to facilities associated with the European Route of Industrial Heritage. The results indicate that these entities are taking numerous measures to implement environmental sustainability patterns, particularly in the areas of waste segregation, pollution and waste generation reduction, and low energy consumption in equipment purchases. Unfortunately, the survey shows that many of the stated actions are not being implemented, as only one in four managers has implemented a formal program related to the implementation of at least some sustainability principles or training conducted in this regard. Managers of industrial heritage sites also advocate for increased national and international cooperation between sites. The author also draws attention to the need to acquire green technologies and communicate the effects of these activities to stakeholders. Full article

This study analyses the evolution of industrial heritage in the Ciudad Rodrigo region from its initial form to its current role as a cultural asset within the tourism sector. This study identifies and analyses the old mills in the region, distinguishing between those that have been abandoned and those that have been recovered for tourism purposes. Various historical sources have been used to do so, highlighting the Cadastre of the Marquis of Ensenada (mid-18th century). The aim is to determine the impact of this evolution on the local economy, with special attention to the role of tourism as a driver of territorial development through the enhancement of this industrial heritage using tourist routes. The results emphasise the importance of heritage recovery as a strategy to revitalise rural areas, highlighting the importance of tourism in the local economy, and as a key element for the sustainability of the territory. Full article

Soil salinization severely restricts the growth and development of crops globally, especially in the northwest Loess Plateau, where apples constitute a pillar industry. Nanomaterials, leveraging their unique properties, can facilitate the transport of nutrients to crops, thereby enhancing plant growth and development under stress conditions. To investigate the effects of nano zinc oxide (ZnO NP) on the growth and physiological characteristics of apple self-rooted rootstock M9-T337 seedlings under saline alkali stress, one-year-old M9-T337 seedlings were used as experimental materials and ZnO NPs were used as donors for pot experiment. Six treatments were set up: CK (normal growth), SA (saline alkali stress,100 mmol/L NaCl + NaHCO₃), T1 (saline alkali stress + 50 mg/L ZnO NPs), T2 (saline alkali stress + 100 mg/L ZnO NPs), T3 (saline alkali stress + 150 mg/L ZnO NPs) and T4 (saline alkali stress + 200 mg/L ZnO NPs). The results were found to show that saline alkali stress could significantly inhibit the growth and development of M9-T337 seedlings, reduce photosynthetic characteristics, and cause ion accumulation to trigger osmotic regulation system, endogenous hormone and antioxidant system imbalances. However, the biomass, plant height, stem diameter, total leaf area and leaf perimeter of M9-T337 seedlings were significantly increased after ZnO NP treatment. Specifically speaking, ZnO NPs can improve the photosynthetic capacity of M9-T337 by increasing the content of photosynthetic pigment, regulating photosynthetic intensity and chlorophyll fluorescence parameters. ZnO NPs can balance the osmotic adjustment system by increasing the contents of soluble protein (SP), soluble sugar (SS), proline (Pro) and starch, and can also enhance the activities of enzymatic (SOD, POD, and CAT) and non-enzymatic antioxidant enzymes (APX, AAO, GR, and MDHAR) to enhance the scavenging ability of reactive oxygen species (H₂O₂, O₂^•−), ultimately reducing oxidative damage; ZnO NPs promoted the growth of M9-T337 seedlings under saline alkali stress by synergistically responding to auxin (IAA), gibberellin (GA₃), zeatin (ZT) and abscisic acid (ABA). Additionally, the Na⁺/K⁺ ratio was reduced by upregulating the expression of Na⁺ transporter genes (MdCAX5, MdCHX15, MdSOS1, and MdALT1) and downregulating the expression of K⁺ transporter genes (MdSKOR and MdNHX4). After comprehensive analysis of principal components and correlation, T3 (150 mg/L ZnO NPs) treatment possessed the best mitigation effect. In summary, 150 mg/L ZnO NPs(T3) can effectively maintain the hormone balance, osmotic balance and ion balance of plant cells by promoting the photosynthetic capacity of M9-T337 seedlings, and enhance the antioxidant defense mechanism, thereby improving the saline alkaline tolerance of M9-T337 seedlings. Full article