Research on Microclimate Responsive of Wuhan Urban Green Space Based on the Regression Analysis Model
Urban green-land microclimate affects the development of urban green-land.This paper takes Wuhan East Lake as an example, establishes a regression analysis model based on the collected remote sensing data, and uses the model to study the important factors and correlations that affect the urban green area change.The results show that the area of green areas in urban areas is positively correlated with annual average precipitation, annual average temperature, annual average humidity, gross domestic product, and the local public income budgeting.The local public expenditure budgeting is obviously negatively related to the impact.According to the result of experiment, by the three ways of ecological environment, crowd activities and multiculturalism, we propose adaptive strategies to effectively collect rainwater and maintain humidity temperature, rationally design basic facilities, reduce public spending, and build creative cultural spaces to attract people to interact and promote potential economic benefits to improve the microclimate environment of urban green space, which is effective to design sustainable urban green-land.
green-land microclimate climate adaptability design
Yu Zhijing Wang Yuewei Li Jingye
School of Arts and Communication, China University of Geosciences School of Computer Science, China University of Geosciences School of Public Administration, China University of Geosciences
国际会议
上海
英文
833-842
2018-01-27（万方平台首次上网日期，不代表论文的发表时间）