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作 者:邱瑶 罗涛[1,2] 王琼 蒋思雨[1,2] QIU Yao;LUO Tao;WANG Qiong;JIANG Siyu(College of Architecture and Urban Planning,Fuzhou University,Fuzhou 350108,China;Fujian Key Laboratory of Digital Technology for Territorial Space Analysis and Simulation,Fuzhou 350108,China)
机构地区:[1]福州大学建筑与城乡规划学院,福州350108 [2]福建省国土空间分析与模拟数字技术重点实验室,福州350108
出 处:《应用生态学报》2023年第7期1932-1940,共9页Chinese Journal of Applied Ecology
基 金:国家重点研发计划项目(2022YFF1301303)资助。
摘 要:为探究绿量构成与热环境的关联特征及绿量的最优构成模式,选择城市居住区为研究样地,结合航拍影像和实地调研获取绿量数据并优化绿量测算方法,将一定空间范围内的总绿量分解为乔木和灌草两大类,研究不同空间范围内的绿量构成指标(灌草总绿量、乔木树冠总绿量、乔灌草总绿量、乔木单株树冠平均绿量和乔木株数)与环境温度和湿度的关系。结果表明:不同绿量构成指标起降温增湿作用最显著的尺度和空间范围均为楼间尺度下50 m。乔木单株树冠平均绿量和乔木树冠总绿量分别是影响温度和湿度的关键因素,且反映在白天不同时段。在50 m空间范围内,当乔木树冠平均体积为211 m^(3)、乔木株数为62棵时,乔木对于环境温度和湿度的调控效果更接近于人体的热舒适度需求。The aim of this study was to investigate the relationship between green biomass composition and thermal environment,as well as their optimal composition pattern.We decomposed total green biomass in a certain spatial range into two categories:trees and shrubs⁃grasses,with urban residential areas as sampling sites and based on aerial photography and field research data of green biomass and optimized green biomass measurement method.We analyzed the correlation between the green biomass composition indicators(shrub and grass biomass,tree canopy biomass,green biomass,mean tree canopy biomass,number of trees)and ambient temperature and humidity in different spatial ranges.The results showed that the most significant cooling and humidifying effect of different green biomass composition indicators was at 50 m below the building scale.The mean tree canopy biomass and tree canopy biomass were the key factors affecting ambient temperature and humidity,respectively,in different time periods during the day.With an average canopy biomass of about 211 m3 and 62 trees in a 50 m space,the regulation effects of trees on ambient temperature and humidity were closer to the thermal comfort requirements of human body.
关 键 词:城市绿地 三维绿量 住区热环境 影响范围 时空变化
分 类 号:TU985.125[建筑科学—城市规划与设计] X16[环境科学与工程—环境科学]
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