Jingyuan Zhao

Prof. Dr. Jingyuan Zhao


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 April 2021 in Environmental Monitoring and Assessment
Verified
Journal Article
Closed access
PDF file
KXKai Xin
Kai Xin
Jingyuan ZhaoJingyuan Zhao
Jingyuan Zhao
XMXuan Ma
Xuan Ma
LHLi Han
Li Han
YLYanyu Liu
Yanyu Liu
YGYuejing Gao
Yuejing Gao

12 March 2022 in Buildings
Verified
Journal Article
Open access
PDF file
KXKai Xin
Kai Xin
Jingyuan ZhaoJingyuan Zhao
Jingyuan Zhao
TWTianhui Wang
Tianhui Wang
WGWeijun Gao
Weijun Gao
QZQihui Zhang
Qihui Zhang
This paper aims to provide data support for rural sustainable development through analyzing the spatio-temporal characteristics of the interactions of the outdoor thermal environment. The ordinary and representative rural settlements in the Guanzhong area were selected to analyze the dynamic process of the rural thermal environment through field measurements and numerical simulations. RMSE (root mean square error) and MAPE (mean absolute percentage) were used to verify the numerical simulation model, and physiological equivalent temperature (PET) was used to evaluate the outdoor thermal environment. Results show that the ENVI-met model reliably predicts the thermal environment of a rural settlement, as the air temperature and relative humidity values range of the RMSE and MAPE were 0.85–1.79 and 2.04–5.11%, respectively. Moreover, the air temperature rose by 3.08% and relative humidity dropped by 4.42% from 2003 to 2018 as the amount of artificial surfaces increased by 35.4% and the PET index gradually increased by 27.43% at daytime and 34.03% at nighttime. Furthermore, trees could improve the outdoor thermal environment significantly, mainly because the average air temperature decreased by 3.6% and relative humidity increased by 8%, and the PET index decreased by 12.4% and 13.1%, respectively, for daytime and nighttime. This case study is representative of rural settlements in the Guanzhong plain, and thus is an appeal to rural planners to pay attention to the thermal environment issues caused by increased artificial underlay surfaces and to focus on trees in rural areas.

Xuan MaXuan Ma
Xuan Ma
MWMengying Wang
Mengying Wang
Jingyuan ZhaoJingyuan Zhao
Jingyuan Zhao
LZLei Zhang
Lei Zhang
WLWanrong Liu
Wanrong Liu
Global climate change and urban heat islands have generated heat stress in summer, which does harm to people’s health. The outdoor public commercial pedestrianized zone has an important role in people’s daily lives, and the utilization of this space is evaluated by their outdoor thermal comfort and health. Using microclimatic monitoring and numerical simulation in a commercial pedestrianized zone in Tai Zhou, China, this study investigates people’s outdoor thermal comfort in extreme summer heat. The final results provide a comprehensive system for assessing how to improve outdoor human thermal health. Under the guidance of this system, local managers can select the most effective strategy to improve the outdoor thermal environment.

1 January 2021 in Advances in Materials Science and Engineering
Verified
Journal Article
Open access
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FXFeiran Xue
Feiran Xue
Jingyuan ZhaoJingyuan Zhao
Jingyuan Zhao
Under the trend of building green and comfortable development, effective control of building energy consumption has become one of the problems that countries are actively facing to solve. People’s demand for residential buildings has changed from the past survival type to a comfortable and livable type. The high level of heating energy consumption is worthy of in‐depth study. In order to reduce energy consumption, realize the mapping of energy‐saving concepts in buildings, and understand the energy consumption of different building materials and the influence of external factors on human thermal comfort, this book has conducted research on building thermal comfort based on energy‐saving concepts. First of all, this article introduces the concept and application mode of energy‐saving concepts in buildings and the concept of thermal comfort and the SET index of standard effective temperature, including the two‐node model and the algorithm involved in the Fanger heat balance equation. In the experimental part, a model based on the concept of energy saving was designed to predict and analyze the energy consumption and thermal comfort effects of the building. In the analysis part, a comprehensive analysis of the effects of temperature, humidity, wind speed, and gender on thermal comfort, methods to improve thermal comfort, cumulative load changes with the heat transfer coefficient of windows, and the effects of windows of different materials on energy consumption was performed. At the same temperature, the wind speed is different, and the degree of heat sensation is also different. When the wind speed is 0.18 m/s and the temperature is 28°C, the thermal sensation is 0.32, and the human sensation is close to neutral. When the wind speed increases to 0.72 m/s, the heat sensation drops to −0.45, and the human body feels neutral and cool. It can be seen that the increase in wind speed has a certain compensation effect on the thermal sensation of the human body. When the wind speed does not change, increase the air temperature. For example, when the wind speed is 0.72 m/s, the temperature is 28°C, and the thermal sensation is −0.45, and when the temperature is increased to 29°C, the thermal sensation is 0.08, which shows that the temperature is improving the thermal sensation of the human body which has a certain offsetting effect. By studying the thermal comfort of buildings based on energy‐saving concepts, it is possible to obtain the effect of external factors on thermal comfort, thereby optimizing building materials and using building materials with lower heat transfer coefficients to reduce heating energy consumption.

17 March 2021 in Environmental Science and Pollution Research
Verified
Journal Article
Closed access
PDF file
Xuan MaXuan Ma
Xuan Ma
LZLei Zhang
Lei Zhang
MGMi Guo
Mi Guo
Jingyuan ZhaoJingyuan Zhao
Jingyuan Zhao

2 September 2023 in Environmental Modeling & Assessment
Verified
Journal Article
Closed access
PDF file
Xuan MaXuan Ma
Xuan Ma
Jingyuan ZhaoJingyuan Zhao
Jingyuan Zhao
LZLei Zhang
Lei Zhang
MWMengying Wang
Mengying Wang
ZCZhi Cheng
Zhi Cheng