基于城市控制性详细规划的热岛效应评价

doi:10.13287/j.1001-9332.201611.019

摘要/Abstract

摘要： 随着城市规划法律地位的提升,控制性详细规划在指导土地出让、规范城市建设空间结构方面发挥着越来越重要的作用.在控规单元尺度上理解各项控制指标的热岛效应,在控规地块尺度上进一步揭示控制指标组合的“热环境绩效”,对于定量评价控规的热环境效应、提出缓减热岛的控制措施具有重要意义.本文利用遥感Landsat8 TIRS热红外遥感数据反演的地表温度来表征热岛效应,结合统计分析与GIS空间分析技术,定量评价城市控制性详细规划主要技术经济指标及其配置结构的热岛效应.结果表明: 绿地率、地块面积、建筑密度、建筑高度在控规单元尺度上对地表温度具有显著影响.通过构建三维模型发现,控规地块对热环境影响最小的组合为绿地率30%,容积率2.5～3.5.研究结果为城市控制性详细规划的优化提供了新的视角.

关键词: 城市控规, 控制性指标, 城市热岛效应, 杭州

Abstract: With the improved legal status of urban planning, regulatory detailed planning is playing an increasingly important role in guiding land leasing and regulating the spatial structure of urban construction. Understanding the effect of regulatory planning indices on urban heat island (UHI) and evaluating the heat environment performance of indices combination at the scale of regulatory planning unit and plot are of great significance for assessing the thermal environment effect of regulatory planning quantitatively and putting forward action plans to mitigate heat island impacts. In this study, we assessed impacts of main urban regulation indices and their combinations on UHI by analyzing land surface temperature (LST) data, retrieved through the thermal infrared remote sensing image (Landsat8 TIRS), using statistical and GIS spatial analysis methods. Results indicated that the indices of green ratio, plot area, building density and building height all had a significant impact on LST at regulatory planning unit level. By generating 3D models, we found the regulation index combination with round 30% of green ratio, and 2.5-3.5 of floor area ratio had the minimal impact on urban thermal environment at regulatory plot. The outcomes provided a new perspective on the rational improvement of urban regulatory planning.

Key words: regulation index, urban regulatory planning, Hangzhou, urban heat island effect

岳文泽, 刘学. 基于城市控制性详细规划的热岛效应评价[J]. 应用生态学报, 2016, 27(11): 3631-3640.

YUE Wen-ze, LIU Xue. Assessment on heat island effect based on urban regulatory planning.[J]. Chinese Journal of Applied Ecology, 2016, 27(11): 3631-3640.

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