小气候
热舒适性
环境科学
每年落叶的
气象站
景观设计
常绿
气象学
环境资源管理
土木工程
地理
工程类
生态学
考古
生物
作者
Jing Xiao,Takaya Yuizono
标识
DOI:10.1016/j.buildenv.2022.108813
摘要
Strategic landscape design can ameliorate local thermal stress and enhance climate resilience in urban areas. Densely populated station squares are particularly important outdoor activity areas which more require the mitigation of thermal conditions during extreme weather. The traditional station square design focuses on the transport system and lacks the co-regulation of landscape services (e.g., climate change, scale, and element configuration). Moreover, holistic optimal design strategies are still deficient. This study examines how thermal comfort is positively affected by various landscape layout patterns, the configuration ratio of deciduous to evergreen trees and vegetation structure. We selected a typical station square of the Hokuriku region as an example, measured a landscape microclimate environment in winter and summer during extremely cold and hot days. The thermal comfort performance, represented by the Predicted Mean Vote (PMV) thermal index, was compared using the ENVI-met simulation to reproduce the original case and new landscape design scenarios. The results indicated that planting trees in an array layout pattern with low PMV distributions improved thermal performance at 14:00 (0.3 PMV increase in winter and 1.3 PMV decrease in summer). The tree configuration ratio is a critical greening indicator that also regulates thermal comfort during the day and night. The finds of the research can be used optimized scenarios as a guide for urban station square design to mitigate thermal comfort issues and to promote the development of station square planning complying with climate-adaptive design strategies and the construction of sustainable cities.
科研通智能强力驱动
Strongly Powered by AbleSci AI