An Ecological Aesthetics Study on the Adaptation of Jingchu Patterns in Park Public Spaces
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- Keywords: Green healing; Art space; Space renovation; Wuhan East Lake; Five-senses experience
- Abstract: Against the backdrop of rapid urbanisation, the cultural significance and ecological quality of public park spaces are receiving increasing attention. As a visual carrier of regional culture in the middle reaches of the Yangtze River, the artistic value and ecological wisdom of Jingchu patterns urgently require exploration. This paper aims to investigate how design translation can integrate Jingchu patterns into park public spaces, thereby enhancing the cultural distinctiveness and ecological aesthetic value of these locations. The research employs a combined methodology of literature analysis, comparative case studies, and design practice: first, it traces the historical lineage and typological characteristics of Jingchu patterns; subsequently, it analyses the manifestations of ecological aesthetics within park spaces; and finally, it proposes three core translation principles—‘cultural inheritance, ecological harmony, and aesthetic innovation’—while exploring specific design strategies such as simplification, reconstruction, and material transformation through mediums including paving, landscape fixtures, and plant arrangements. Findings reveal that translated patterns not only strengthen regional cultural identity but also enhance biodiversity support functions through the integration of ecological materials and natural forms. Practice demonstrates that this translation pathway revitalises traditional cultural vitality while creating public space experiences that blend artistic and ecological qualities for citizens, offering fresh perspectives on empowering urban ecological development through regional culture.
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Research on Industrial Heritage Revitalization Strategies from the Perspective of Stock Renewal: A Case Study of Hanyang Iron Works
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- Keywords: Stock renewal; Revitalization of industrial heritage; Hanyang ironworks; Youth innovation and entrepreneurship; Modular space
- Abstract: With the transformation of urban construction from incremental expansion to stock optimization, the revitalization of industrial heritage has gradually become a key research direction in the field of urban renewal, this study selects Hanyang Iron Works as a case to carry out in-depth discussions on the revitalization of industrial heritage from the perspective of stock renewal, and uses literature research method, field research method and case analysis method to systematically sort out the practical problems existing in the process of industrial heritage activation and utilization. In view of these problems, a series of targeted activation strategies is proposed, with the help of the questionnaire star platform to carry out data collection, to gain an in-depth understanding of the needs of young people for the activation and utilization of industrial heritage, and to apply the relevant research results to specific revitalization design practices. The “Static Protection” mode moves to the “Dynamic Regeneration” mode. This study provides new ideas and methods for the activation and utilization of industrial heritage, and can also enrich the cultural connotation of the city and promote the sustainable development of the city.
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Research on Spatial Color Design and Enhancement Strategies in the Revitalization of Wuhan Tongxing Lane: A K-means Cluster Analysis- Based Approach
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- Keywords: Color geography; Historic streets; Spatial optimization; Jing-chu culture
- Abstract: In recent years, Wuhan’s traditional alleyway neighborhoods (“Lifen”) have gradually shifted from residential units to commercialized development, inevitably leading to weakened residential functions and fading cultural characteristics. This study takes Tongxing Lane as its research object, examining how color design can introduce commercial vitality while preserving the cultural essence of these historic alleyways. It explores the critical role of color design in revitalizing traditional residential units—balancing urban development with historical continuity through synergistic approaches with commerce—where the dual demands of cultural representation and commercial vibrancy pose urgent challenges for urban regeneration and planning. The paper is structured in three parts: First, it investigates the cultural values embedded in Jing-Chu regional color traditions and early modern architectural palettes. Next, it analyzes the significance of spatial color in historic streetscapes for both cultural preservation and commercial appeal. Finally, employing quantitative methods such as cluster analysis, the study visualizes Tongxing Lane’s chromatic profile and cross-references it with cultural color benchmarks. This systematic evaluation reveals gaps in the current color scheme’s efficacy for cultural symbolism and commercial functionality, elevating color from mere aesthetics to a mediatory tool reconciling culture and commerce. Grounded in urban renewal principles, the research concludes with color optimization strategies for Tongxing Lane’s public spaces.
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Funding
Well Logging Prediction of Total Organic Carbon Content in Shale Gas Reservoirs of the Long 11 Submember in Southern Sichuan —Taking the Z205 Well Area as an Example
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Authors:
Xin Gong¹² Jing Li¹ Ang Luo¹² Jia He¹² Xing Liu¹² Wen Cao¹² Haizhou Su¹² Xiaohai Ren³ Zhaona Yang¹ / Environment and Resource / 2025,7(2): 339-348 / 2025-12-02
- Keywords: Long 11 Submember; Shale Gas; Well Logging Prediction; TOC; Stepwise regression methodLong 11 Submember; Shale Gas; Well Logging Prediction; TOC; Stepwise regression method
- Abstract: Total organic carbon (TOC) is not only an important indicator for evaluating the hydrocarbon generation capacity of shale gas reservoirs, but also a crucial parameter for the evaluation of shale gas reservoirs and the selection of platinum target areas. The existing TOC content prediction methods either have low prediction accuracy or require a large number of samples. This article takes the Long 11 submember in the Z205 well area of southern Sichuan as the research object. Based on the measured TOC data from the core samples, it was clearly determined that the logging responses of the four microlayers in the Long 11 submember in the well area were all different. By combining the “layered fine prediction” and “stepwise regression” methods, a TOC prediction model for each of the four microlayers in the Long 11 submember of the well area was established. In the past, the study area always regarded the Long 11 submember as a single entity. The TOC was predicted using the “input method” in the “multiple regression method”, without considering the actual logging response characteristics of each layer. This led to numerous “false fitting” occurrences. This study selects the optimal logging parameters for different layers. By using the “stepwise regression method”, the occurrence of “false fitting” is avoided, thereby improving the interpretation accuracy. The study reveals that the TOC development occurs in the Long 11 submember of the Z205 well area, and the variation patterns of TOC in different layers are quite distinct.Total organic carbon (TOC) is not only an important indicator for evaluating the hydrocarbon generation capacity of shale gas reservoirs, but also a crucial parameter for the evaluation of shale gas reservoirs and the selection of platinum target areas. The existing TOC content prediction methods either have low prediction accuracy or require a large number of samples. This article takes the Long 11 submember in the Z205 well area of southern Sichuan as the research object. Based on the measured TOC data from the core samples, it was clearly determined that the logging responses of the four microlayers in the Long 11 submember in the well area were all different. By combining the “layered fine prediction” and “stepwise regression” methods, a TOC prediction model for each of the four microlayers in the Long 11 submember of the well area was established. In the past, the study area always regarded the Long 11 submember as a single entity. The TOC was predicted using the “input method” in the “multiple regression method”, without considering the actual logging response characteristics of each layer. This led to numerous “false fitting” occurrences. This study selects the optimal logging parameters for different layers. By using the “stepwise regression method”, the occurrence of “false fitting” is avoided, thereby improving the interpretation accuracy. The study reveals that the TOC development occurs in the Long 11 submember of the Z205 well area, and the variation patterns of TOC in different layers are quite distinct.
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Exploration of Environmental Responsibility and Green Transformation Paths in Pharmaceutical Quality Control—A Case Study of Quality Control Positions in Taiji Group
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- Keywords: Pharmaceutical quality control; Green analytical methods; Environmental responsibility; Taiji Group; Green transformation
- Abstract: Against the backdrop of the advancing “dual-carbon” strategy, pharmaceutical quality control, as a key link in ensuring drug safety, also bears significant environmental responsibilities and the mission of green transformation. This paper takes Taiji Group as a case study to systematically explore the practical paths and effectiveness of its quality control positions in green transformation. By identifying environmental load points in pharmaceutical quality control—such as solvent pollution, waste liquid discharge, high energy consumption, and experimental consumables—this study constructs a green indicator system, promotes green method substitution, embeds ESG responsibilities in positions, and builds a digital quality control platform, aiming to explore a feasible mechanism for the coordinated development of “precision testing” and “green low-carbon.” The research finds that Taiji Group has significantly reduced the carbon footprint of testing and the discharge of “three wastes” through technical means such as green solvent substitution, aqueous chromatography, near-infrared spectroscopy, and SFC; achieved green visualization and performance evaluation of the entire testing process through the integration of LIMS and MES systems; and formed a trinity green management model of “system + technology + awareness” through closed-loop waste management and green behavior score assessment. This paper provides enterprise practice samples and policy recommendation support for constructing a green pharmaceutical quality control system, and has practical significance for promoting the coordinated development of high-quality and greenization in the pharmaceutical industry.
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Funding
