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基于可拓关联函数的传统村落广场微气候舒适度评价与优化设计

Evaluation and Optimization Design for Microclimate Comfort of Traditional Village Squares Based on Extension Correlation Function.

机构信息

Pan Tianshou College of Architecture, Art and Design, Ningbo University, Ningbo, Zhejiang 315211, China.

School of Architecture and Urban-Rural Planning, Qingdao University of Technology, Qingdao, Shandong 266033, China.

出版信息

J Environ Public Health. 2022 Jul 5;2022:6106463. doi: 10.1155/2022/6106463. eCollection 2022.

Abstract

The evaluation approaches for microclimate comfort in traditional villages often ignore the year-round impact and the impact from dynamic and static behaviors, as well as the composite impact of wind and heat environments. To solve the problem, this study presents an evaluation and optimization design strategy for microclimate comfort of traditional village squares based on extension correlation function, using field survey, computer simulation, and example analysis. Firstly, the wind and heat environments in the space of the square were measured on the site with an ultrasonic integrated weather station. Secondly, simulation parameters were configured on PHOENICS (computational fluid dynamics software), namely, boundary conditions, wind environment, heat environment, and green plants, and used to simulate the wind and heat environments in the space of the square, followed by a correlation analysis between the simulation results and the measured results. Finally, the extension correlation function was adopted to comprehensively evaluate the microclimate comfort of the preliminary design scheme, and the design scheme of the square was finalized through repeated adjustments. The proposed strategy was verified on an example: Xieduqi square, Zoumatang village, eastern China's Zhejiang Province. The example analysis shows that the proposed strategy is highly operable. The research effectively improves the optimization design of traditional village squares, extends the digital technology system of traditional villages, and greatly drives rural construction in the future.

摘要

传统村落微气候舒适度的评价方法往往忽略了全年影响以及动态和静态行为的影响,以及风和热环境的综合影响。为了解决这个问题,本研究提出了一种基于可拓关联函数的传统村落广场微气候舒适度评价与优化设计策略,采用现场调查、计算机模拟和实例分析。首先,使用超声波综合气象站在现场测量广场空间的风热环境。其次,在 PHOENICS(计算流体动力学软件)上配置模拟参数,即边界条件、风环境、热环境和绿色植物,并用于模拟广场空间的风热环境,然后对模拟结果和测量结果进行相关分析。最后,采用可拓关联函数对初步设计方案的微气候舒适度进行综合评价,并通过反复调整确定广场的设计方案。该策略在中国东部浙江省邹马潭村的斜堤气广场进行了验证。实例分析表明,该策略具有高度的可操作性。研究有效地提高了传统村落广场的优化设计,拓展了传统村落的数字技术体系,极大地推动了未来的乡村建设。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa7c/9277169/74cf60dafa51/JEPH2022-6106463.001.jpg

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