Thermal Comfort of University Campus in Hot Summer and Cold Winter Region

Liu Lin; Liang Zhen-xi; Du Jing; Liu Jing; Zhang Hui-bo

doi:10.12052/gdutxb.210201

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Thermal Comfort of University Campus in Hot Summer and Cold Winter Region

更新时间：2026-05-27

- Thermal Comfort of University Campus in Hot Summer and Cold Winter Region
- Vol. 40, Issue 2, Pages: 120-128(2023)
- 作者机构：
  
  1. 广东工业大学土木与交通工程学院,广东,广州,510006
  2. 北京联合大学生物化学工程学院,北京,100101
  3. 哈尔滨工业大学建筑学院,黑龙江,哈尔滨,150090
  4. 哈尔滨工业大学寒地城乡人居环境科学与技术工业和信息化部重点实验室,黑龙江,哈尔滨,150090
  5. 上海交通大学中英国际低碳学院,上海,200240
  6. 上海交通大学设计学院,上海,200240
- 作者简介：
- 基金信息：
- DOI：10.12052/gdutxb.210201
  CLC： TU986
- Online First：25 March 2023，
  
  Published：2023
- 稿件说明：
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刘琳, 梁镇希, 杜晶, 刘京, 张会波. 夏热冬冷地区大学校园夏季热舒适研究[J]. 广东工业大学学报, 2023, 40(2): 120-128.

Liu Lin, Liang Zhen-xi, Du Jing, et al. Thermal Comfort of University Campus in Hot Summer and Cold Winter Region[J]. 2023, 40(2): 120-128.
刘琳, 梁镇希, 杜晶, 刘京, 张会波. 夏热冬冷地区大学校园夏季热舒适研究[J]. 广东工业大学学报, 2023, 40(2): 120-128. DOI： 10.12052/gdutxb.210201.

Liu Lin, Liang Zhen-xi, Du Jing, et al. Thermal Comfort of University Campus in Hot Summer and Cold Winter Region[J]. 2023, 40(2): 120-128. DOI： 10.12052/gdutxb.210201.

摘要

为探索夏热冬冷地区大学校园室外热舒适环境的空间优化策略，本文以上海某大学为研究对象，对大学校园典型空间形态条件下的气象参数进行现场实测，同时结合大学生受试者的热舒适问卷，利用Rayman软件计算出受试者的生理等效温度(Physiological Equivalent Temperature

PET)。为获得全校园范围的温湿度分布，本研究进行了温湿度移动测量并对数据进行时间修正与空间插值，之后对通过以上方式获取的校园范围温湿度与地表形态特征参数进行相关性分析。结果显示，该大学校园夏季大学生“热中性”的PET值为30.60 ℃，PET指标与空气温度、相对湿度之间分别呈现负相关与正相关，且空气温度与PET指标的相关程度更高；天空角系数与透水表面比率对空气温度具有显著的正相关，街道峡谷高宽比、建筑密度、平均建筑高度与空气温度之间则出现显著的负相关。以上结果说明进行校园建筑和景观规划设计时可通过合理设计地表形态特征的方式缓解空气温度的上升，以达到提升学生热舒适的目的。该研究可为夏热冬冷地区大学校园室外空间规划提供优化参考，有助于改善校园热舒适环境。

Abstract

In order to explore the spatial optimization strategy of outdoor thermal comfort environment of university campus in hot summer and cold winter regions

a university in Shanghai was taken as the research object

and field measurement of meteorological parameters conducted under typical spatial morphology conditions of university campus. At the same time

combined with the thermal comfort questionnaire of college students

the physiological equivalent temperature (PET) of the subjects was calculated by using Rayman software. This study performed temperature and humidity movement measurement

time correction

and spatial interpolation of the data to obtain the temperature and humidity distribution of the entire campus

and then the correlation between the temperature and humidity of the campus and the characteristic parameters of the surface morphology were analyzed. The results showed that the “neutral” PET value of university students in summer was 30.60 ℃

and PET index was negatively correlated with air temperature and positively correlated with relative humidity

and air temperature was more correlated with PET index. The sky view factor and pervious surface fraction have a significant positive correlation with air temperature

and there is a significant negative correlation between aspect ratio

building surface fraction

height of roughness elements and air temperature. In the planning and design of campus building and landscape

the rise of air temperature can be alleviated by reasonably designing the surface morphological characteristics

with the goal of enhancing students' thermal comfort. This study can provide an optimized reference for the outdoor space planning of university campus in hot summer and cold winter regions

which is helpful to improve the thermal comfort environment of campus.

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Keywords

references

WOLCH J R, BYRNE J, NEWELL J P. Urban green space, public health, and environmental justice: the challenge of making cities “just green enough”[J]. Landscape and Urban Planning, 2014, 125: 234-244

NUTSFORD D, PEARSON A L, KINGHAM S. An ecological study investigating the association between access to urban green space and mental health [J]. Public Health (London) , 2013, 127(11): 1005-1011.

YANG L N, LIU J Y, REN Q, et al . Study on outdoor thermal comfort of campus under special high temperature climate in transition season [J ] . Journal of Shandong Jianzhu University, 2021, 36(1): 75-82.

ZHAO L J, LI L, ZHOU X Q, et al . Study on comfort of outdoor thermal environment around campuses in Guangzhou in summer [J ] . Building Science, 2016, 32(8): 93-98.

金铭. 济南某大学校园室外热环境模拟研究与优化策略[D]. 济南: 山东建筑大学, 2017.

乔琢珂. 重庆市大学城某校园室外热环境研究[D]. 重庆: 重庆大学, 2018.

GAO Y F, YU J N, LIU L, et al . A study of the thermal comfort of campus public space in hot and humid areas in sunny winter [J ] . Journal of Guangdong University of Technology, 2021, 38(1): 39-45.

HE X, MIAO S, SHEN S, et al . Influence of sky view factor on outdoor thermal environment and physiological equivalent temperature [J ] . International Journal of Biometeorology, 2015, 59(3): 285-297.

SHASHUA-BAR L, TSIROS I X, HOFFMAN M. Passive cooling design options to ameliorate thermal comfort in urban streets of a Mediterranean climate (Athens) under hot summer conditions[J]. Building and Environment, 2012, 57: 110-119

LI H, HARVEY J, KENDALL A. Field measurement of albedo for different land cover materials and effects on thermal performance[J]. Building and Environment, 2013, 59: 536-546

LI K, ZHANG Y, ZHAO L. Outdoor thermal comfort and activities in the urban residential community in a humid subtropical area of China[J]. Energy and Buildings, 2016, 133: 498-511

MATZARAKIS A, RUTZ F, MAYER H. Modelling radiation fluxes in simple and complex environments: basics of the RayMan model [J]. International Journal of Biometeorology, 2010, 54(2): 131-139.

刘琳. 城市局地尺度热环境时空特性分析及热舒适评价研究[D]. 哈尔滨: 哈尔滨工业大学, 2018.

BERNARD J, BOCHER E, PETIT G, et al . Sky view factor calculation in urban context: computational performance and accuracy analysis of two open and free GIS tools [J ] . Climate, 2018, 6(3): 60-66.

WANG Y, PAN C, HUANG Z S. Comparison of applicability of PET and UTCI in different seasons in Shanghai [J]. Building Science, 2020, 36(10): 55-61.

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