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作 者:毛志睿 李雨航 陈笑葵 Mao Zhirui;Li Yuhang;Chen Xiaokui(Kunming University of Science and Technology,Kunming 650504,China;College of Architecture and Urban Planning,Hunan City University,Yiyang 413000,Hunan,China;Key Laboratory of Hunan Province for Key Technologies of Digital Urban-Rural Spatial Planning,Yiyang 413000,Hunan,China)
机构地区:[1]昆明理工大学建筑与城市规划学院,昆明650504 [2]湖南城市学院建筑与城市规划学院,湖南益阳413000 [3]数字化城乡空间规划关键技术湖南省重点实验室,湖南益阳413000
出 处:《中国城市林业》2025年第1期1-10,共10页Journal of Chinese Urban Forestry
基 金:国家自然科学基金项目(52168004)。
摘 要:[目的]为优化城市热环境与人居品质提供新视角。[方法]以武汉市江岸区滨水地段为例,结合街景数据与遥感气候数据,利用深度学习与ENVI-met模拟计算绿视率和生理等效温度(PET),分析其时空特征,探讨绿视率对热舒适度的影响。[结果]1)武汉市江岸区滨水地段内,绿视率受区域特征影响呈现分布差异;2)7∶00-15∶00,不同城市空间热舒适度(PET)变化速率不同,历史街区内部>街道区域>滨水公园区;3)绿视率与PET的负相关性随时间变化显著,早晨至中午逐渐增强,中午12∶00达到峰值后减弱;4)绿视率对PET的影响存在边际递减效应,绿视率在43.9%~47.3%时对PET的降低作用最显著(P<0.05),超过此范围后改善效果减弱;5)绿视率对热环境稳定性的影响显著,高绿视率显著减小了PET的日变化幅度,表现为更稳定的热环境和更小的日温差。[结论]城市空间类型显著影响热环境动态特征;绿视率与PET呈负相关关系,其调控效应在日间辐射峰值时段(12∶00前后)最强且存在边际递减规律;合理配置绿视率是提升热舒适度的关键。未来需进一步探究多气候条件下绿视率与植被类型、配置方式的关联机制。[Objective]The study is to provide a new perspective for optimizing the urban thermal environment and residential quality.[Method]The waterfront sections of Jiang'an District in Wuhan are taken as a case study to calculate green view index(GVI)and physiologically equivalent temperature(PET)by integrating street-view imagery and remote sensing climate data with deep learning and ENVI-met simulations to examine their spatiotemporal characteristics and discuss the GVI's impact on thermal comfort.[Result]1)The distribution of GVI in the waterfront sections of Jiang'an District varies due to regional characteristics;2)At 7∶00-15∶00,the PET presents varied rates across urban spaces of different kinds,i.e.,historical district interiors>street areas>waterfront parks;3)The significant negative correlation between GVI and PET strengthens from morning to noon,peaking at 12∶00 before weakening;4)GVI has a diminishing marginal effect on PET.The GVI,when in the range of 43.9%-47.3%,has the most substantial subduing effect on PET,and the effect will reduce beyond the scope;and 5)GVI significantly enhances thermal environment stability.High GVI reduces PET's diurnal variation,leading to a more stable thermal environment with smaller temperature fluctuations.This not only improves thermal comfort,but also increases urban climate stability.[Conclusion]Urban spatial typology shapes thermal dynamics,with GVI negatively correlated with PET.Its cooling effect peaks around 12∶00 and follows a marginal diminishing pattern.The optimal GVI configuration is the key to improving thermal comfort.Future studies should explore GVI's interactions with vegetation types and spatial configurations under varying climates.
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