Supporting Design to Develop Rural Revitalization through Investigating Village Microclimate Environments: A Case Study of Typical Villages in Northwest China

Kai Xin, Jingyuan Zhao, Tianhui Wang and Weijun Gao
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Kai Xin: School of Architecture, Chang’an University, Xi’an 710046, China
Jingyuan Zhao: School of Architecture, Chang’an University, Xi’an 710046, China
Tianhui Wang: Faculty of Environmental Engineering, The University of Kitakyushu, Fukuoka 808-0135, Japan
Weijun Gao: Faculty of Environmental Engineering, The University of Kitakyushu, Fukuoka 808-0135, Japan

IJERPH, 2022, vol. 19, issue 14, 1-20

Abstract: China has the largest number of villages in the world, and research on rural microclimate will contribute to global climate knowledge. A three-by-three grid method was developed to explore village microclimates through field measurement and ENVI-met simulation. A regression model was used to explore the mechanistic relationship between microclimate and spatial morphology, and predicted mean vote (PMV) was selected to evaluate outdoor thermal comfort. The results showed that ENVI-met was able to evaluate village microclimate, as Pearson’s correlation coefficient was greater than 0.8 and mean absolute percentage error (MAPE) was from 2.16% to 3.79%. Moreover, the air temperature of west–east road was slightly higher than that of south–north, especially in the morning. The height-to-width ratio (H/W) was the most significant factor to affect air temperature compared to percentage of building coverage (PBC) and wind speed. In addition, H/W and air temperature had a relatively strong negative correlation when H/W was between 0.52 and 0.93. PMV indicated that the downwind edge area of prevailing wind in villages was relatively comfortable. This study provides data support and a reference for optimizing village land use, mediating the living environment, and promoting rural revitalization.

Keywords: village microclimate; numerical simulation; global climate; outdoor thermal comfort; rural revitalization (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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