关键词：
Machine learning;landscape character identification;landscape sensitivity evaluation;landscape management
摘要：
Due to China’s rapid human activity expansion, landscapes have lost their distinctive and typical characteristics. This paper addresses this issue by proposing a landscape character management framework for the Beijing shallow relief area. The framework utilises machine learning techniques to assess and enhance landscape integrity. The process involves landscape character identification through Principal Component Analysis, Gaussian Mixture Model clustering, and Canny Edge Detection. Additionally, a comprehensive landscape sensitivity evaluation considers both landscape character and visual sensitivity. The study develops five landscape management strategies based on field surveys and employs a Transformer Matrix Process and a multi-expert decision-making mechanism. Extensive validation confirms the framework’s effectiveness in improving the recognition accuracy of Landscape Character Types. The findings reveal that over 30% of the landscape characters in the study area require improvement. Importantly, the machine learning techniques employed in this study can be transferred to other regions, facilitating landscape characterisation, evaluation, and management.
期刊：
SHS Web of Conferences,2023年167:02016-null ISSN：2416-5182
作者机构：
School of Architecture, Changsha University of science & Technology, Changsha, Hunan 410114, China;School of Transportation Engineering, Hunan Institute of Traffic Engineering, Hengyang, Hunan 410000, China;School of Civil Engineering, University of South China, Hengyang, Hunan 421001, China
关键词：
conference;proceedings;humanities;social
摘要：
This study analyzes the spatial genes of traditional villages by taking Zhang Guying village in northern Hunan Province as an example.Starting from the theory of heterogeneous isomorphism, we discover the methods and paths of identifying, presenting and translating the spatial genes of traditional villages in Hunan region.Through the gene identification extraction method, it analyzes the spatial and cultural genes of Zhang Guying village and obtains the genetic elements and composition of the traditional villages.Based on the design model of gene translation, the “Duanwu family” is systematically analyzed, and it can build a traditional village regeneration and development system.In view of this, his research relies on the application of “heterogeneous isomorphism” theory, which can be obtained from the gene translation method, isomorphic design model.It can promote the regenerative continuation of traditional villages and low-carbon ecological development.
通讯机构：
[Xie, MJ ] C;Cent South Univ, Sch Architecture & Art, Changsha 410083, Hunan, Peoples R China.
关键词：
Shallow geothermal;Geothermal ventilation system;Phase change material;Temperature regulation;Heat transfer model
摘要：
As one of the most representative geothermal systems, shallow geothermal ventilation (SGV) system has been widely used with the advantages of simple configuration and low operation cost. However, this system is characterized by relatively large temperature fluctuations at the outlet in many application scenarios, which will reduce the thermal comfortable of the delivery outlet air temperature. The existing model development of horizontal buried-pipe SGV system tends to ignore the vertical buried-pipe part of the air inlet and outlet, and only considers the heat transfer model of horizontal buried-pipe, which may affect the accuracy of the developed model to a certain extent. Based on these, this study proposes a SGV system integrating the ring-shaped phase change material (RSPCM) module, and develops the dynamic heat transfer model considering the vertical part of the air inlet and outlet of the system. In this study, firstly, a relevant field experimental testbed is built and the developed dynamic model is verified with good agreement based on the experimental data, which has a maximum relative error of 4.83 %. In addition, the effects of RSPCM and its different parameters on the thermal performance of SGV system are investigated based on the developed model. The results show that RSPCM ar -ranged at the air outlet can regulate the outlet temperature fluctuation of the SGV system and improve the comfort of the air supply temperature to a certain extent. When the inlet air velocity is 1 m/s, the temperature fluctuation at the outlet is 1.73 degrees C for the system comprising RSPCM, while the corresponding temperature fluctuation at the outlet is 2.10 degrees C for the system without RSPCM. The effect of thermal conductivity on the PCM's temperature regulation ability is not obvious enough for the proposed system application. Therefore, in practice, by increasing the thermal conductivity of RSPCM is not an optimal and feasible way when considering the economic cost. The RSPCM thickness is increased to a certain level and then this measure will not have much effect to improve the system's thermal performance. For this system structure and operating conditions, a more suitable RSPCM thickness should be about 20 mm, and the RSPCM with a phase-change temperature of 24 degrees C has a relatively good temperature regulation capability. The RSPCM has a better temperature regulation capability for the system outlet temperature when it is located at the outlet position. This study provides a novel research possibility for the application of SGV in buildings, and can also provide theoretical guidelines for designers and constructors in practice to apply SGV systems.
摘要：
It has been widely recognized that urban green space provides various benefits to old adults. However, there is a lack of discussion about the impact of cultural ecosystem services (CES) of green space on seniors’ mental health. We selected 20 parks in the old urban areas of Beijing and collected a total of 693 valid questionnaires from senior residents. Structural equation models were applied to examine the linkage between characteristics of parks (including green space, neighborhood environment, CES) and senior residents’ self-reported mental health, with respondents’ physical activity, social interaction, and satisfaction as mediators. Results highlighted the superiority of CES among all variables in promoting the subjective mental health of senior residents. In addition, we found the mediating role of the satisfaction with parks and social interaction in the linkage between CES and mental health. Moreover, results suggested that the area of green space was not directly related to mental health, but positively influenced older adults’ mental health by enhancing their physical activity. Besides, we also found that neighborhood environment around a park may directly and positively affect seniors' mental health, while negatively affecting it by adversely affecting satisfaction with the park. These findings reflect the superiority of cultural ecosystem services in enhancing older adults' mental health, which enriches the original green space-health framework, and may have direct implication for the conservation of cultural landscape in the future.
摘要：
Two-dimensional (2-d) cutting components are essential in the Architecture, Engineering, and Construction (AEC) industry. However, due to the complexity of computing cut components' reuse, the 2-d cutting component still lacks appropriate design-aid tools to generate accurate graphical and numerical results in the architectural design process, leading to material waste and hindering the entry of intelligent technologies. This research proposed a grid-based planning workflow based on the BIM and parametric design (PD) to accurately generate and optimize 2-d cutting components' planning. The proposed workflow combined the “2-d bin packing problem” problem-solving method in operations research to compute the components' reuse. Moreover, an evolutionary algorithm was used to enable the workflow can goal-oriented optimize the design alternatives according to requirements, expanding the workflow's adaptability. A prototype system was developed to verify the proposed workflow. The results show that compared with current design-aid approaches, the proposed workflow can generate accurate graphical and numerical results while reducing material waste by 7%–12% due to the refined design. The outcomes improve the intelligence of the AEC industry while promoting the industry's sustainable development.
