基于多情景仿真模拟的城市高密度街区屋顶绿化降温效应定量研究
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国家重点研发计划课题(2022YFF1301304);国家自然科学基金(42071316);天津大学自主创新基金(2024XSC-0063)


Quantitative study on the cooling effects of green roofs in a high-density urban neighborhood based on multi-scenario simulation
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National Key Research and Development Program of China (2022YFF1301304);National Natural Science Foundation of China(42071316);Seed Foundation of Tianjin University(2024XSC-0063);

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    摘要:

    城市热岛效应与高密度、高强度发展的中心城区建成环境为城市绿色基础设施建设和健康发展带来了新的挑战,提出了新的要求。屋顶绿化不额外占用建设用地,成为改善城市热环境的重要战略措施之一。针对当前屋顶绿化降温模拟与实际规划建设过程关联性较低、街区降温特征分析维度不深入的问题,基于建设规模、建设时序、建设类型三个影响要素,实现了从基于抽象实验思维构建屋顶绿化降温效应理想情景到基于规划建设决策视角构建实际情景的方法转变。并从城市街区的整体到局部,运用ENVI-met多视角审察不同情景中屋顶绿化在高密度城市街区的降温效应量化特征。研究结果表明:(1)屋顶绿化降温强度随建设规模的增加呈分段线性增长,相同规模裙房建设屋顶绿化的降温效应要远高于公共建筑和商业建筑。(2)在热环境改善更急迫的区域建设屋顶绿化可以局部降温,但从整体上看并未获得更高的降温收益;当新建屋顶绿化位置相近时,表现出明显的降温效应增长放缓的现象;(3)同高度下屋顶绿化的降温强度随与屋顶绿化边界距离的增加而总体呈现指数型函数的衰减特征,平行于主导风向的降温强度衰减速率要明显慢于垂直于主导风向;(4)密集型屋顶绿化在研究区网格的平均降温强度为粗放型屋顶绿化的4.69倍。基于上述降温模拟结果提出针对性的规划策略,为高密度街区屋顶绿化的建设实践提供科学依据,进而改善高密度街区热环境,促进城市居民之健康福祉,推动高密度城市街区的健康转型。

    Abstract:

    The urban heat island(UHI) effect poses a significant threat to human health, and together with the continuously developing central urban environment towards high-density and high-intensity, brings new challenges and demands to the construction of green infrastructure and healthy development of cities. Green roofs, which do not take up additional construction land, have become one of the most important strategic measures to improve the urban thermal environment. In response to the low correlation between current roof greening cooling simulation and actual planning and construction processes, as well as the lack of in-depth analysis of cooling characteristics, based on three decisive influencing factors: construction scale, construction sequence, and construction type, a method transformation has been achieved from constructing ideal scenarios for roof greening cooling effects based on abstract experimental thinking to constructing actual scenarios based on planning and construction decision-making perspectives. The quantitative characteristics of the cooling effect of green roofs in high-density urban neighborhoods in different scenarios were examined from the whole to the local using ENVI-met. The results show that: (1) the cooling intensity of green roofs increases linearly with the increase of construction scale, and the cooling effect of green roofs in the same scale of podium construction is much higher than that of public and commercial buildings. (2) Green roofs built in more urgent area of thermal environment improving can be local cooling, but from the overall point did not get a higher cooling benefit; when the new roof greening location is similar, the growth of cooling effect can be slowed (3) At the same height, The cooling intensity of green roofs on localized plots shows an exponential decay as the distance from the green roof boundary increases; with the increase in the cooling intensity of the green roof with the distance from the green roof boundary. The decay rate of cooling intensity parallel to the wind direction is significantly slower than that perpendicular to the wind direction; (4) The average cooling intensity of intensive green roofs in the study area grid is 4.69 times higher than that of rough green roofs, which is more cost-effective in terms of cooling compared to its price. Based on the simulation results above, targeted planning strategies are proposed,providing a scientific basis for the construction practice of green roofs in high-density neighborhoods, in order to improve the thermal environment of high-density neighborhoods, promote the health and well-being of urban residents and the healthy transformation of high-density cities.

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于沐生,左进,吝涛,李晨,苏薇,范大林,骆剑承.基于多情景仿真模拟的城市高密度街区屋顶绿化降温效应定量研究.生态学报,2024,44(24):11146~11162

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