Traditional villages have long been influenced by geographical condition.Public space is not only a response to the topography of the village but also an important means of coping with the wind environment during a time when technology was not yet mature.The Tumochuan region is arranged in a shape of a winnowing basket.The unique climate of the cold region has resulted in the formation of public space forms that adapt to the local environment.SPSS was used to conduct correlation analysis and multiple linear regression analysis on the four public space form parameters of the village,namely,the average wind speed,the number of households,the plot density,the enclosure degree,and the sky openness degree.The average wind speed ratio model based on the public space form of the village was obtained,and the suitable scale range of the public space parameters that meet the comfort requirements was defined.Using this approach as the starting point for the study of the correlation between public spaces and winter wind environment.The research results show that the average wind speed ratio is positively correlated with the sky openness degree and negatively correlated with the number of households,plot density,and enclosure degree.The degree of influence of the form parameters on the average wind speed ratio is in the following order:enclosure degree>number of households>sky openness degree>plot density.Through the study of the proportion of comfort in the village and the form parameters,it is found that when the number of households is greater than 170,the plot density is greater than 0.5,and the enclosure degree is greater than 0.87,it can significantly improve the comfort proportion of the village.By exploring the correlation between the forms found within traditional villages and the wind environment,this study aims to provide valuable insights for green construction in traditional villages in the Tumochuan Plain.
Tumochuan Plainpublic space form parameterswinter monsoon environmentaverage wind speed ratio modelperceived comfort
NETL
NSTL
维普
万方数据
