摘要
为了探讨城市绿地斑块的热环境效应,为城市绿地系统规划提供科学依据,以成都市LandsatETM+为数据源,综合应用遥感图像处理、数理统计和地理图像信息模型方法,定量研究绿地斑块的面积、周长和形状指数等空间特征与其对周边温度的影响范围及降温程度之间的关系,并提出绿地斑块的降温地理图像信息模型。研究结果显示:绿地斑块对周边温度的影响范围及降温程度随其面积、周长和形状指数的增大而增大。当绿地斑块面积超过1.5～1.68hm2时,其对周边温度的影响范围和降温程度随斑块面积增大的速度迅速减小,此时绿地斑块的热环境效率最大。降温地理图像信息模型可较好地预测绿地斑块的降温规律。
To investigate the thermal environment effect of urban green patch and provide reasonable reference for urban green system planning, based on a LANDSAT ETM ＋ image of Chengdu City, a methodological framework employing techniques of remote sensing image processing, mathematical statistics and geographical image information model was developed, and by this way, the relationship between the green patch＇s spatial characteristics and its temperature influence areas and degrees were analyzed quantitatively, and the urban green patch＇s cooling geographical image information model was proposed. The research results show that the green patch＇s temperature influence area and degree increase with the increase of green patch＇s area, perimeter and shape index. The efficiency of green patch＇s thermal environment effect reaches the maximum when the range of green patch＇s area is from 1.5 to 1.68 hm2. The green patch＇s cooling effect can be forecast by the cooling geographical image information model preferably.
出处
《中国园林》
北大核心
2009年第12期97-101,共5页
Chinese Landscape Architecture
基金
"十一五"国家科技支撑计划重大项目(编号2006BAJ05A13)资助
关键词
风景园林
城市热岛效应
城市绿地斑块
景观指数
地理图像信息模型
遥感
landscape architecture
urban heat island effect
urban green patch
landscape index
geographical image information model
remote sensing
