摘要
以大庆市主城区为研究区域,对比不同季节POI密度与植被和水体盖度对城市热环境的影响。基于遥感影像反演地表温度;基于百度API获取POI数据。构建双变量模型研究POI密度、水体盖度、植被盖度三者与地表温度的相关关系,发现水体盖度是影响大庆市热环境的最主要因素,植被盖度与POI密度次之,三者在不同季节的解释率差异明显;通过多元回归分析比较POI密度模型、生态基础设施模型和全模型对地表温度的解释率,发现全模型有更高的解释率;通过ArcGIS缓冲区功能分析水体、植被和POI分布与城市热场间的空间关系,发现三者的显著影响范围分别为480 m、30 m和120 m。
Taking the main urban area of Daqing city as the research area,the effects of POI density and vegetation and water coverage on the urban thermal environment in different seasons are compared.The surface temperature is inversed based on remote sensing image;POI data is obtained based on Baidu API.A bivariate model is constructed to study the correlation between POI density,water coverage and vegetation coverage and surface temperature.The water coverage is the most important factor affecting the thermal environment of Daqing city,followed by vegetation coverage and POI density.The interpretation rate of POI density model,ecological infrastructure model and full model to surface temperature is compared by multiple regression analysis.By analyzing the spatial relationship among water,vegetation and POI distribution and urban thermal field through ArcG IS buffer function,it is found that the significant influence ranges of the three are 480 m,30 m and 120 m,respectively.
作者
李静薇
郭其锦
薛婷
刘亚静
LI Jing-wei;GUO Qi-jin;XUE Ting;LIU Ya-jing(School of Civil and Architectural Engineering,Northeast Petroleum University,Daqing 163318,Heilongjiang,China)
出处
《建筑节能》
CAS
2020年第8期112-117,130,共7页
BUILDING ENERGY EFFICIENCY
基金
黑龙江省哲学社会科学基金(18JLB041)
大庆市指导性科技计划项目(zd-2019-14)
关键词
城市热环境
POI数据
生态基础设施
多元回归分析
urban thermal environment
POI data
ecological infrastructure
multiple regression analysis
作者简介
李静薇(1973),女,黑龙江人,毕业于哈尔滨工业大学,建筑学专业,硕士,教授,研究方向为生态城市研究与规划(lijingwei@nepu.edu.cn)。;通讯作者:郭其锦(1994),男,福建人,建筑与土木工程专业,硕士研究生,研究方向为城市规划与城市气候(465016143@qq.com)。
